Python For Beginners Course In-Depth

This course is a depth introduction to both fundamental python programming concepts and the Python programming language.

What you'll learn

• Getting Started, Python From Command line, Values and Data Types, Operators and Operands, Function Calls
• Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts
• Use variables to store, retrieve and calculate information
• Data Types, Type Conversion, Functions, Statements and Expressions
• Mathematical Function, Random Number Function, Trigonometric Functions, Trigonometric Inverse Functions
• CGI Programming, Web Server Configuration

Requirements

Only the very basic computer skills are needed

A computer, Access to the internet, An interest in learning Python

Description

This course is a depth introduction to fundamental python programming concepts.

Learn Python From Beginner To Advanced Level

I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

The course starts with the basics, including Python fundamentals, programming, and user interaction.

The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

The topics covered in this course are:

* Beginner to Expert Python contents:

Array implementation

File methods

Keywords and Identifiers

Python Tuples

Python Basics

Python Fundamentals

Mathematical Functions

Data Structures

Object-Oriented Programming with Python

Functional Programming with Python

Lambdas

Decorators

Generators

Testing in Python

Debugging

Error Handling

Regular Expressions

Comprehensions

Modules

See you inside the course!

Who this course is for:

For Complete Programming Beginners

For People New to Python

For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development

Trending Stocks with Python, Reddit, Twitter, and ChatGPT

Learn how to use Python, PRAW, the Twitter API, and the OpenAI API to unlock insights on trending stocks.

What you'll learn

• Learn how to use Python and PRAW to collect and analyze data from Reddit posts
• Explore the power of the Twitter API to gather real-time data on trending stocks
• Discover how to leverage the power of ChatGPT to summarize large volumes of comments and extract valuable insights on trending stocks.
• Develop practical skills in logging and debugging code, and learn how to store logs in AWS S3 to ensure smooth operation and ease of use
• Learn how to set up an automated email system with email templates in Python

Requirements

Some development experience, but it doesn't necessarily have to be Python experience.

An OpenAI API Key

Description

In this comprehensive hands-on course, you'll delve into the world of stock analysis using Python, PRAW, Twitter API, and ChatGPT. You'll focus on leveraging social media data to identify trending stocks and extract valuable insights. By combining the power of Python with the real-time information from Twitter and Reddit, you'll gain a competitive edge in analyzing market trends.

First, you'll dive into analyzing Reddit data using PRAW (Python Reddit API Wrapper). Learn to extract stock-related comments from popular subreddits, identify stock tickers mentioned, and capture key sentiment indicators from the discussions. You'll gain insights into market sentiment and community perceptions, uncovering trends that can influence investment decisions.

Next, you'll learn how to gather data from Twitter using the Twitter API. Discover techniques to retrieve tweets related to stocks, and filter for the tweets that you want. Uncover the valuable information hidden within the vast sea of social media posts.

To distill the vast amount of information, you'll employ ChatGPT, an advanced language model from OpenAI. You'll harness the power of natural language processing (NLP) to generate concise summaries of the stock-related comments collected from Twitter and Reddit. Discover how to fine-tune ChatGPT for better performance in summarizing financial discussions, enabling you to capture the essence of the conversations effectively.

With the summarized insights in hand, you'll create customizable email reports to deliver the most relevant and up-to-date information to yourself or your subscribers. Utilizing SMTP and MIME in Python, you'll automate the process of sending the reports with a professional touch. You'll explore techniques for template customization, email variable handling, and error handling to ensure smooth delivery of the reports.

Throughout the course, you'll gain practical skills that extend beyond stock analysis. You'll learn to work with APIs, handle data collection and preprocessing, implement NLP techniques, and develop automated systems. These skills can be applied to various real-world scenarios in finance, technology, and data analysis.

By the end of the course, you'll be well-equipped to analyze trending stocks by leveraging the power of Python, PRAW, Twitter API, and ChatGPT. You'll have the ability to gather and process data from Twitter and Reddit, extract valuable insights, generate summarized reports, and automate the delivery process. Prepare to make informed investment decisions and uncover hidden opportunities in the dynamic world of stock market analysis.

Who this course is for:

Developers and programming enthusiasts who are interested in learning about Python programming, natural language processing, and API integration

Traders, investors, and finance professionals who want to leverage AI-powered tools and social media data to gain valuable insights into trending stocks and make informed investment decisions.

Data analysts and researchers who are interested in exploring the application of Python and AI techniques in the field of finance and stock market analysis.

Python for Machine Learning: The Complete Beginner's Course

Learn to create machine learning algorithms in Python for students and professionals

What you'll learn

• Learn Python programming and Scikit learn applied to machine learning regression
• Understand the underlying theory behind simple and multiple linear regression techniques
• Learn to solve regression problems (linear regression and logistic regression)
• Learn the theory and the practical implementation of logistic regression using sklearn
• Learn the mathematics behind decision trees
• Learn about the different algorithms for clustering

Requirements

• Experience with the basics of Python
• Readiness, flexibility, and passion for learning
• Basic mathematical skills

Description

To understand how organizations like Google, Amazon, and even Udemy use machine learning and artificial intelligence (AI) to extract meaning and insights from enormous data sets, this machine learning course will provide you with the essentials. According to Glassdoor and Indeed, data scientists earn an average income of $120,000, and that is just the norm! 

When it comes to being attractive, data scientists are already there. In a highly competitive job market, it is tough to keep them after they have been hired. People with a unique mix of scientific training, computer expertise, and analytical abilities are hard to find.

Like the Wall Street "quants" of the 1980s and 1990s, modern-day data scientists are expected to have a similar skill set. People with a background in physics and mathematics flocked to investment banks and hedge funds in those days because they could come up with novel algorithms and data methods.

That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.

The supply, on the other hand, has been quite restricted. It is challenging to get the knowledge and abilities required to be recruited as a data scientist.

In this course, mathematical notations and jargon are minimized, each topic is explained in simple English, making it easier to understand. Once you've gotten your hands on the code, you'll be able to play with it and build on it. The emphasis of this course is on understanding and using these algorithms in the real world, not in a theoretical or academic context. 

You'll walk away from each video with a fresh idea that you can put to use right away!

All skill levels are welcome in this course, and even if you have no prior statistical experience, you will be able to succeed!

Who this course is for:

• Anyone who want to pursue a career in Machine Learning
• Any Python programming enthusiast willing to add machine learning proficiency to their portfolio
• Technologists who are curious about how Machine Learning works in the real world
• Programmers who are looking to add machine learning to their skillset

Data Manipulation in Python: Master Python, Numpy & Pandas

Learn Python, NumPy & Pandas for Data Science: Master essential data manipulation for data science in python

What you'll learn

• Learn to use Pandas for Data Analysis
• Learn to work with numerical data in Python
• Learn statistics and math with Python
• Learn how to code in Jupyter Notebook
• Learn how to install packages in Python

Requirements

No prior data science knowledge required

No programming experience needed

Description

When it comes to being attractive, data scientists are already there. In a highly competitive job market, it is tough to keep them after they have been hired. People with a unique mix of scientific training, computer expertise, and analytical abilities are hard to find.

Like the Wall Street "quants" of the 1980s and 1990s, modern-day data scientists are expected to have a similar skill set. People with a background in physics and mathematics flocked to investment banks and hedge funds in those days because they could come up with novel algorithms and data methods.

That being said, data science is becoming one of the most well-suited occupations for success in the twenty-first century. It is computerized, programming-driven, and analytical in nature. Consequently, it comes as no surprise that the need for data scientists has been increasing in the employment market over the last several years.

The supply, on the other hand, has been quite restricted. It is challenging to get the knowledge and abilities required to be recruited as a data scientist.

Lots of resources for learning Python are available online. Because of this, students frequently get overwhelmed by Python's high learning curve.

It's a whole new ball game in here! Step-by-step instruction is the hallmark of this course. Throughout each subsequent lesson, we continue to build on what we've previously learned. Our goal is to equip you with all the tools and skills you need to master Python, Numpy & Pandas.

You'll walk away from each video with a fresh idea that you can put to use right away!

All skill levels are welcome in this course, and even if you have no prior programming or statistical experience, you will be able to succeed!

Who this course is for:

No previous skills or expertise required. Only a drive to succeed!

Python for Data Science & Machine Learning: Zero to Hero

Master Data Science & Machine Learning in Python: Numpy, Pandas, Matplotlib, Scikit-Learn, Machine Learning, and more!

What you'll learn

• Gain familiarity with Pandas, a data analysis tool
• Get a grasp on the theory behind basic and multiple linear regression
• Tackle regression problems easily
• Discover the logic behind decision trees
• Acquaint yourself with the various clustering algorithms

Requirements

• The ability to do simple math
• No programming experience needed
• No prior data science knowledge required
• Readiness, flexibility, and passion for learning

Description

This machine learning course will provide you the fundamentals of how companies like Google, Amazon, and even Udemy utilize machine learning and artificial intelligence (AI) to glean meaning and insights from massive data sets. Glassdoor and Indeed both report that the average salary for a data scientist is $120,000. This is the standard, not the exception.

Data scientists are already quite desirable. It's difficult to keep them on staff in today's tight labor market. There is a severe shortage of people who possess the rare combination of scientific training, computer expertise, and analytical talents.

Today's data scientists are held to the same standards as the Wall Street "quants" of the '80s and '90s. When the need arose for innovative algorithms and data approaches, physicists and mathematicians flocked to investment banks and hedge funds.

So, it's no surprise that data science is rising to prominence as a promising career path in the modern day. It is analytic in focus, driven by code, and performed on a computer. As a result, it shouldn't be a shock that the demand for data scientists has been growing steadily in the workplace for the past few years.

On the other hand, availability has been low. Obtaining the education and experience necessary to be hired as a data scientist is tough. And that's why we made this course in the first place!

Each topic is described in plain English, and the course does its best to avoid mathematical notations and jargon. Once you have access to the source code, you can experiment with it and improve upon it. Learning and applying these algorithms in the real world, rather than in a theoretical or academic setting, is the focus of this course.

Each video will leave you with a new perspective that you can implement right away!

If you have no background in statistics, don't let that stop you from enrolling in this course; we welcome students of all levels.

Who this course is for:

• Aspiring Machine Learning Professionals
• Anyone interested in expanding their skill set with machine learning and Python
• Inquisitive technologists interested in seeing Machine Learning in action
• Those who are already proficient in programming and want to expand their capabilities by learning about machine learning

Pyomo Bootcamp: Python Optimization from Beginner to Advance

Guide for building optimization probelm (operation research) in Pyomo Jupyter and solve it using CPLEX, Gurobi and IPOPT

What you'll learn

• Write simple and complex pyomo models
• LP, MIP, MINLP, NLP ,QCP, MIQCP
• How to mathematically formulate your optimization problems in Python?
• Practice Exercises to Confirm the Learnings
• How to find the duality coefficients of the constraints ?
• Build the skills you need to get your first Operation research / Optimization job /OR Scientist position
• Build a complete understanding of Pyomo models from the ground up!
• How to start coding your optimization problem in Python (pyomo)? Linear programming, Mixed Integer programming, Quadratic programming, Non-linear Programming
• Is it suitable for Mechanical engineering ? Yes, for example : design problems
• Suitable for Chemical engineering ? Yes, Optimal design of chemical systems, optimal operation of chemical units, pooling-blending, optimal control of a process
• Is it suitable for Electrical engineering ? Yes, for example : optimal operation and planning of power plants, optimal power flow and etc.
• Is it suitable for Civil engineering ? Yes for example in traffic management, bridge design , reinforcement planning and etc.
• Google Colab and Neos Server

Requirements

• You’ve either already got it or it’s FREE. Here’s the checklist:
• No extensive prior knowledge of Python is required
• Your enthusiasm to learn this go-to programming language
• A desire to learn new concepts like Python coding
• A passion for decision making and optimisation
• A computer - Windows, Mac, and Linux are all supported
• Setup and installation instructions are included for each platform.
• No need for any licence to run your codes
• It’s a valuable lifetime skill which you can’t un-learn!

Description

**Brand New For 2023 - Pyomo Bootcamp: Python Optimization from Beginner to Advance Course on Udemy**

Join your 65000 fellow researchers and experts in operation research industry in learning the fundamentals of the optimal decision making and optimization.

Learn Pyomo in 3 days.

What is Pyomo used for ?

What does Pyomo stand for ? 

Is Pyomo Open source ?

How do I download Pyomo ? 

If you just want to learn Python then this course is not for you

if you want to learn Optimization modeling in Python then Welcome to the Pyomo Bootcamp: Python Optimization from Beginner to Advance course!

Learn

Linear programming (LP)

Mixed Integer Programming (MILP) 

Non-linear Programming (NLP)

Multi-objective Optimization

Formulating the optimization problems

I will walk you through every step of Python coding with real-life case studies, actual experiments, and tons of examples from around different disciplines.

By the end of this course, you'll be able to:

Build the skills you need to get your first Python optiimization programming job

Move to a more senior software developer position

…then you need a solid foundation in Optimization and operation research Python programming. And this course is designed to give you those core skills, fast.

Code your own optimization problem in Python (Pyomo package) .

Receive your official certificate

The developed course is suitable for you even if you have no background in the power systems.

In this Optimization course you will learn:

How to formulate your problem and implement it in Python (Pyomo) and make optimal decisions in your real-life problems

How to code efficiently, get familiarised with the techniques that will make your code scalable for large problems

How to design an action block with a clearly defined conversion goal

How to run sensitivity analysis in Python to predict the outcome of a decision if a situation turns out to be different compared to the key predictions.

For your convenience the course is broken into two sections :

General Python coding (Pure Pyomo, elements, loops, multi-objectives, conditional statements, Examples)

More than 40 solved examples

... and much, much more!

By finishing this course, you will have the power to transform your coding skills into a powerful decision making making. .

If you think this Python (Pyomo)  coding is complicated, it's not.

If you think Python (Pyomo) coding is time-taking, it's not.

If you think watching this course won't make a difference in your professional career ... think again.

I've consulted with several companies and researchers around the world and have consulted them on how to use optimization techniques in their business. Trust me, I learned all this the hard way.

Along with the video content of the course, there are many extra.

What if you have questions?

As if this course wasn’t complete enough, we offer full support, answering any questions you have 7 days a week (whereas many instructors answer just once per week, or not at all).

This means you’ll never find yourself stuck on one lesson for days on end. With our hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

Downloadable resources and guides

An audio version of the course to listen on the go

Q&A videos the answer your specific questions

Assignments that make you productive while taking the course

An instructor who truly cares about your success

This is the course on landing page design I wish I had when I was first starting out!

OUR PROMISE TO YOU

We'll be here for you every step of the way. If you have any questions about the course content or anything related to this topic, you can always post a question in the course or send me a direct message.

We want to make this the best course on how to use Python (Pyomo). So if there is any way we can improve this course, just tell us and we'll make it happen.

Enroll today and enjoy:

Lifetime access to the course and all future updates

Over 4 hours of high quality, up to date video lectures

Exercises and feedback

Access to the student-only discussion forum

30 day, no questions asked, money-back guarantee

With our 30-day 100% money-back guarantee, there's no reason to hesitate.

I'll give you two more reasons why you should enrol right this second:

Your investment in this course will quickly be paid back even just by implementing some of the techniques I share with you. There are hundreds of gold nuggets to choose from, making this course the best investment in your own education and future success.

While today is still the best day you can get started with Python (Pyomo) coding, it will get harder for engineers as the markets get more and more competitive. You want to start as soon as you can (like now) to take advantage of this growing market. Instead of struggling and trying to do everything yourself, just learn from someone who has already figured it out.

I CAN'T WAIT TO SEE YOUR SUCCESS

See you inside!

Who this course is for:

Anyone who needs to make some sort of decisions

Any discipline that requires optimization and decision making

Academics or industry experts in operation research and optimization

Entrepreneurs

Business Owners involved in Energy/Healthcare/Service providers/ and other industries

The Python Programming A-Z Definitive Diploma

The Hands-On Guide to Master Modern Python and Data, to Advance your Dev and Data Career in no time!

What you'll learn

• Basic and Advanced Python concepts to become a Rockstar Python Developer
• Python tools, keywords, best Practicing, high level descriptions
• All bout Variables, Data Types, Literals, Techniques, Importing and Formatting.
• Hands-on different types of Operations, Decision Making and Repetitive execution for sequences
• Designing Data Structures
• The Design of Functional Programs
• Object-oriented design Principles
• Files Handling, Modules and its Operations
• Scientific computing for Data with NumPy
• Data Visualization with Matplotlib and pyplot
• Using Databases with Python

Requirements

No prior experience required.

Description

Hi, Welcome to The Python Programming A-Z Definitive Diploma.

Your complete Guide to Python Programming.

Almost Python is currently used for everything in Software Engineering.

Although it is very easy to learn, but, it is very useful and powerful.

Its fields are so many, and by learning python, it will be very easy for you to get higher Jobs in the largest companies such as Google, Dropbox, Spotify and many more.

Simply you can do multi scale tasks with python , because it is multipurpose professionally and quickly with fewer lines of code.

Also, python works everywhere.

Among its most important fields are: data science, machine learning, web application development, desktop application development, cybersecurity, and many other fields that cannot be confined to one video.

Plus, you can use it on any operating system you use.

Its programs can be written and executed with any text editor or any ide easily.

I will help and support you through this step-by-step course. Because the most important thing for me is to help you to get the most out of this course.

By the end of this course you'll be a Professional Python Developer, And you have all the skills that Python experts have. Also, you'll have all the ability to build multi scale apps.

Develop Python Apps, Data Analysis, Present and visualize information, Manage Database using Python 3.9. All of that and many more.

In this course, we will start from very easy basic topics such as Variables, Data types, IO Formatting, Operations, Conditional statements, loops, Data Structures, Functions, and many others, then we will move on to advanced topics such as Object Oriented Design,  and also how to deal with Data Science libraries and Modules of all kinds, then we will move on to learn how to use Databases with Python . All of this and more, supported by practical examples.

I will be available to assist and support you line by line during this course.

This course is carefully prepared, to save you time, and to increase your focus while learning without feeling bored.

Who this course is for:

• New Programmers
• Software Engineering Newbies
• Python new developers
• Python Developers who want to master the new features of modern python v3.9.
• Programmers and developers who know other programming language but are new to python
• Anyone who wants to dive deeply into Python Programming without wasting time.

Python Programming Beyond The Basics & Intermediate Training

Python Programming Beyond The Basics & Intermediate Training

Learn, Think and Hands-on Python Intermediate concepts and Boost your Python Development Career in short time!

What you'll learn

• Using and Building Iterators
• Block of statements Scopes
• Formatting strings
• Using and Building Generators
• Hands-On Regular Expressions
• Collections and Containers with functions
• Creating, installing and using Packages
• Mathematics and Statistics based on SL with function
• Working with Decorators and solving Problem
• A true understanding of how Intermediate Python topics work behind the scenes.
• Get professional, friendly and fast support in the course Q&A for any kind of problems during this course.

Requirements

Python basics and Python installed.

Computer and any Text Editor or IDE

Description

Hi, Welcome to the Python Programming Beyond The Basics And Intermediate Training.

In this course, you will get a hands-on Many important topics that need to be mastered in order to create applications of multiple scales and purposes in Python programming language.

By the end of this course, you’ll have the Intermediate concepts that every Python developer should have, and know how to use them practically in all the fields of the Python language.

Even if you are in any field such as data science, web development or machine learning, it is very necessary to know all the concepts that we will talk about in this course, as well as how to use them in a theoretical and practical way as we will do, and this is in order to facilitate the creation of programs in the correct way as you want it without wasting time or complication.

We created this course for you if you want to boost your Python career to become a productive Python programmer .

What are the topics that we will discuss in this course?

First, we will talk about iterators in the Python language, how to use them, the concepts and functions related to them, how to create them, and what is the purpose of creating them easily.

Simply, Iterator in Python is simply an object that can be iterated upon. An object which will return data, one element at a time.

This is a brief and simple definition of Python iterator.

Let's go to the second section, which we will talk about.

In the second section we will talk about The Python scope Of all kinds and how to deal with them.

Not all variables or functions can be accessed from anywhere in a program. The part of a program where a variable or function is accessible is called its scope.

The section that next, we'll talk about the string formatting To make sure a string will display as expected . and You’ll learn about these formatting techniques in detail and add them to your Python string formatting toolkit.

And in the fourth section we will know all about:

What generators in Python are and how to use them

How to build generator functions and expressions

How the Python yield statement works and the difference between yield and return.

How to use multiple Python yield statements in a generator function.

How to use advanced generator methods in your apps.

The section that next, you’ll learn everything about regular expressions in Python.

This is a very important topic, and we will talk about it in a detailed and practical way and with deep clarification. Actually, You’ll have all power of regular expressions, You will work with the re library, deal with pattern matching, and many more.

Basically, Regular Expressions are a tool for matching patterns in text. This is a brief and simple definition of Regular Expressions.

In the next section, you’ll master the most commonly used data structures from the Python collections module.

Basically, Collections in Python are containers that are used to store collections of data, for example, lists and dictionaries. These are built-in collections. Several modules have been developed that provide additional data structures to store collections of data. One such module is the Python collections module.

The collections module is used to improve the functionalities of the built-in collection containers.

The next section walks you through how to package a simple Python project. It will show you how to add the necessary files and structure to create the package, how to build the package, and how to use this Package.

In the next section, you’ll master all about math and statistics modules practically, and the functions that are used with them.

Simply, the math module provides access to the mathematical functions defined by the C standard. and The statistics module provides functions for calculating mathematical statistics of numeric data.

Finally, In the last part of this course you will learn something very important, which is decoration.

In this section on decorators, we’ll look at what they are and how to create and use them in detail.

Simply and By definition, a decorator is a function that takes another function and extends the behavior of the latter function without explicitly modifying it. that’s it . We will simplify this topic very without complication, and with practical examples to illustrate.

Who this course is for:

• Python Intermediate Developers
• Anyone who wants to dive deeply into Python v3.9 Intermediate Topics without wasting time
• Anyone who has finished the basics of Python and does not know where to go
• Python developers who want to master new features of modern python

The Python Programming Comprehensive Bootcamp

Become A Certified Python Developer, Learn and Practice Python Programming and Boost your Dev career in short time!

What you'll learn

• Master the core Python skills needed to apply for python developer positions.
• Master industry best practices in Python software development from a professional software engineers.
• Go from a total beginner to an advanced python developer.
• A true understanding of how Python works behind the scenes.
• How to think in python like a python expert.
• Variables, Representing Data Types, and using Computational Power
• Data Structure for data organization, management and storage formatting
• Practical Flow control and Iterable aspects
• Building software by composing pure functions process
• Object-Oriented Programming model to organize software design
• Application containers and Handling all files
• Playing with Exception events and analyzing Errors
• Lightweight data-interchange format for humans
• Essentials to build Python programs from scratch.
• Get friendly and fast support in the Bootcamp Q&A.

Requirements

No Python prior experience is required to take this bootcamp

Computer and Text Editor or IDE or Online Editor

Description

Welcome to The Python Programming Comprehensive Bootcamp.

• In this Complete Bootcamp, we’ll teach you everything you need to know to become a Professional Python developer.
• Variables, Representing Data Types, and using Computational Power.
• Data Structure for data organization, management and storage formatting.
• Practical Flow control and Iterable aspects.
• Building software by composing pure functions process.
• Object-Oriented Programming model to organize software design.
• Application containers and Handling all files.
• Playing with Exception events and analyzing Errors.
• Lightweight data-interchange format for humans.
• All that with Numerous Exercises and Quizzes.

By the end of this Bootcamp, you will have the ability to code with Python the right way easily, and with great confidence to create complex applications.

because this Bootcamp covers all topics from basic to advanced, and supported by the instructor assistance and guidance throughout a prepared high-quality training.

with A demonstration of each point in this Bootcamp and an explanation of all theoretical and practical aspects in an easy way and in an easy language for beginners.

we will provide you with support, and answer all your questions all the time, if you encounter any obstacles during this Bootcamp.

We are here to help you to get the most of this Bootcamp.

Easily and in no time, you will have all the essential skills that the professional Python developers have.

Whether you are a beginner or a professional, this Bootcamp is for you, and will change your life and your thinking for the best in the world of software development.

Python is the most popular programming language out there, also it is one of the coolest, and best programming languages in terms of ease and features.

It is very easy for you to read the Python code, as if you were reading a regular English sentence and you can master it in no time.

With Python programming language, it is possible to do everything you imagine in the world of programming and data.

Who this course is for:

• Python new developers
• Programming and software development engineering newbies
• Anyone who wants to dive deeply into Python 3.9 without wasting time
• Python developers who want to master the new features of modern python
• Programmers and developers who know other programming language but are new to python

The Python Programming For Everyone Immersive Training

Learn, Practice, Master, Think like Python Professionals & Be A Certified Python Super Hero in short time!

What you'll learn

• Master the core Python skills needed to apply for python developer career positions
• A true understanding of how Python works behind the scenes.
• Go from a total beginner to an advanced python developer.
• Understanding Python syntax, Comments, Variables, Data Types, Operators and Numbers
• Working with Data Structures with Python new features
• How to think and make decision with control flow tools
• Deal with core functional Programming and OOP features for Novice.
• Get professional, friendly and fast support in the course Q&A for any kind of problems during this course. 

Requirements

No python prior experience is required to take this course.

Computer and Text Editor or IDE

Description

Welcome to The Python Programming For Everyone Immersive Training Course for Beginners.

This Immersive Masterclass covers all the essential topics to become a Professional Python developer from the ground up

Topics like: variables, data types, Strings, data structures,  functional programming, different types of modules, files handling, object-oriented programming and many more.

You'll get A demonstration of each point in this training and an explanation of all theoretical and practical aspects in an easy way and in an easy language for anyone.

Also, you can test your skills using quizzes and be a certified python developer that can be hired and you can upload the certificate of completion to your profile.

Python is one of the coolest, and best programming languages in terms of ease and features.

It is very easy for you to read the Python code, as if you were reading a regular English sentence.

The Python language can work with everything indisputably in many areas.

With Python, It is possible to do everything you imagine in the world of programming and data.

Python can work in areas such as:

• Data Science.
• Machine Learning.
• Deep Learning.
• Artificial intelligence.
• Ethical Hacking.
• Blockchain Applications.
• Web Scraping.
• Web Applications.
• Mobile Applications.
• Desktop Applications.
• Games Applications.
• Browser Extensions.
• And many other fields.
• And you'll get a full support during this step by step course by the instructor if you encounter any problems or errors.

Let's get started!

Who this course is for:

• Python Beginners
• Anyone who wants to dive deeply into modern Python without wasting time
• Programming and Software development Newbies
• Programmers who know other Programming languages but are new to Python
• Python developers who want to master new features of modern python

Intermediate Python Immersive Training | Boost your career

Develop your Python programming skills and Master next-level Python features

What you'll learn

• Building Iterators
• Coding regions in Python
• Awesome string formatters
• Generators in Python
• Regular expression operations in Python 3.9.0
• Python Built-in Modules
• Making a Python Package

Requirements

Computer and any Text Editor or IDE

Python basics

Description

Welcome to The Intermediate Python Immersive Training | Boost your career

In this course, you will learn in depth the most important Python language topics for the intermediate level.

Once you have completed this course, you will be able to use all these techniques, which we will list in detail.

There is a wonderful feature in this course, as it explains in important detail all you need in these topics in a direct and practical way that saves you valuable time and effort.

Once you have completed this course, you will be able to understand and use the following techniques in your Python programs:

Iterator from fruitstuple and print each value,  Iterator from sequence of characters, for loop to iterate through a tuple, for loop to iterate through a string,  Build  an iterator that returns numbers, raise StopIteration, local scope of a function, local variable can be accessed from a function inside function function, global variables are available from within any scope, Naming and Renaming Variables, The global keyword makes the variable global, adding a placeholders, displayed as a number with two decimals, Adding Multiple Placeholders, Using index numbers for placeholders, Using named indexes, simple generator function with yield, return a value and terminate the execution of the function, Using generator function with for loop, yield square of number, loop and StopIteration automatically, Use generator expression, pass generator expression in a function, import the regular expressions module, Search the string to see if match or no match, regex function, metacharacters, special sequences and sets,  findall list of matches, Search for the first white-space, Making a search that returns no match, Split at each white-space in the string, replace every white space  and count parameter, search and return a match object, .span and Searching for upper case, string property to return the string passed into the function, Print the word that contains upper case, display a list of all available modules, create and change directory, getcwd and rmdir, list files and sub directories, sys module, math module, statistics, collections and namedtuple, collections and OrderedDict, collections and deque,  random module with functions, creating package called newpackage with files, use from newpackage newfunctions to main, work with init module and use modules, Installing collected newpackage, .... and more.

And if you have any inquiries in this course, the instructor will answer them and inform you in detail. In order to get the most out of this course.

I hope you will join us on this wonderful journey which I promise will truly benefit you.

Who this course is for:

• Python Intermediates
• Anyone who has finished the basics of Python and does not know where to go
• Python developers who want to master new features of modern python
• Anyone who wants to dive deeply into Python v3.9 Intermediate Topics without wasting time

The Python Developer Essentials Immersive Bootcamp

Learn the skills you need to become a Professional and Certified Python Developer with this Complete Training Course

What you'll learn

• How to Program with Python and write a clean code
• The core Python concepts needed to become A Dev Professional
• Understand of how Python works behind the scenes
• Variables, Representing Data Types, and using Math
• Syntax and Recognize Code Blocks
• Understanding and Analyzing Errors
• Built-In Functions and Methods
• User-Defined and Anonymous Functions
• Structure all Data with Built-In Data Structures
• Flows Control for Programs
• Object-Oriented Programming
• Different types of Modules
• Handle Files using Python 3.9.2
• Get the Instructor QA support

Requirements

No prior knowledge of Python Programming is required

Access to a computer and internet connection

Description

Hello and welcome to The Python Developer Essentials Immersive Bootcamp

Learn the skills you need to become a Professional Certified Python Developer with this Complete Training Course.

You'll become a Certified Python Developer and Coding Rockstar in no time.

This course covers all the following concepts theoretically and practically:

• How to Program with Modern Python
• The clean Python code
• The core Python concepts needed to become A Dev Professional
• Understand of how Python works behind the scenes
• Variables, Representing Data Types, and using Math
• Syntax and Recognize Code Blocks
• Understanding and Analyzing Errors
• Built-In Data Structures
• Built-In Functions and Methods
• Flows Control for Programs
• User-Defined and Anonymous Functions
• Object-Oriented Programming
• Different types of Modules
• Handle Files using Python 3.9.2
• Get the Instructor QA support

All of that and many more supported by the instructor assistance and guidance throughout this complete high-quality Guide.

Whether you are a beginner or a professional, this Guide is for you, and will change your Dev career and your thinking for the best in the world of software Engineering.

Python is the most popular programming language out there, and The best programming language in terms of ease and features.

So, what are you waiting for, enroll now to go through an Immersive Training of the most popular Programming Language on the market, Python.

Become A Python Guru in no time!

Who this course is for:

• New developers and Engineers
• Absolute Beginners in Python
• Programming and software development engineering newbies
• Developers and Engineers who know other programming language but are new to python
• Anyone who wants to master modern Python 3.9.1 the right way without wasting time

Python Complete Course For Python Beginners

Python Complete Course For Python Beginners. Learn Python From Beginner To Advanced Level

What you'll learn

• Go from Beginner to Advanced in Python Programming by learning all of the basics to Object Orientated Programming.
• Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts
• Use variables to store, retrieve and calculate information
• Utilize core programming tools such as functions and loops

Requirements

• Only the very basic computer skills are needed

A computer, Access to the internet, An interest in learning Python

Description

• Learn Python From Beginner To Advanced Level
• I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.
• The course starts with the basics, including Python fundamentals, programming, and user interaction.

The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

The topics covered in this course are:

Beginner to Expert Python contents:

• Array implementation
• File methods
• Keywords and Identifiers
• Python Tuples
• Python Basics
• Python Fundamentals
• Data Structures
• Object-Oriented Programming with Python
• Functional Programming with Python
• Lambdas
• Decorators
• Generators
• Testing in Python
• Debugging
• Error Handling
• Regular Expressions
• Comprehensions
• Modules
• See you inside the course!

Who this course is for:

• For Complete Programming Beginners
• For People New to Python
• For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development

Master Python Web Scraping & Automation using BS4 & Selenium

Complete Web Scraping, Web Crawling and Web Automation Bootcamp using Python 3, Selenium, BeautifulSoup and Chromium

What you'll learn

• Fundamentals of Web Scraping and Automation
• Understand Xpath & CSS Selectors
• Working with Spreadsheets and CSV files
• Automating Websites using Selenium
• Scraping and Crawling Websites using BeautifulSoup
• Multi-Threading Web Scraping Operations
• Web Scraping Best Practices

Requirements

Beginner Python Development Experience

Description

Do you want to learn Web Scraping and Automation using Python and tools such as Selenium, BeautifulSoup, and Chromium? If so, Then this is the course for you!

WHAT DOES THIS COURSE FEATURE?

In this course, we’ll use the best tools and techniques available on the Internet to create powerful and efficient web scrapers and bots. Our focus will be towards developing 3 fully-featured python scripts that will solve the following issues respectively.

• Scraping Data From An API
• Scraping Data From HTML Web Pages
• Automating Websites

By the end of this course, you’ll have mastered the skills required to effectively use Selenium, BeautifulSoup, Chromium and Python to build powerful Web Scrapers and Bots.

WHAT TOPICS WILL BE COVERED?

• Working with Python Requests Module
• Understanding Request Headers
• Exporting Data to XLS Files
• Sending Emails using Python
• Working with API’s
• Reading in Data From A CSV File.
• The fundamentals of Beautiful Soup and LXML
• Exporting Data to CSV Files.
• Utilizing Multi-Threading to Speed Up Scraping
• Navigating HTML Documents
• Extracting Information From HTML elements such as Tables.
• The fundamentals of Selenium
• Automating Web Actions such as Clicks and Navigation
• Filling Form Data
• Screen Capturing Web Pages
• Efficiently using CSS Selectors & XPaths
• And alot more

WHAT ELSE DOES THIS COURSE OFFER?

– Deep, Fine-Grained Learning – This course is jam-packed with information. I made the course that I most wanted to take and as a result, I didn't skimp on the details. You're going to cover more topics and material in greater depth than ever before.

– 100% Real-World Practice – My goal is to get you writing code as much as possible. And not just any code–we'll be working exclusively on practical tasks that are instrumental in building your own amazing real-world apps.

– No-Nonsense, Spot-On Explanations - Every lesson is to the point. I break down what we're making, how we'll be doing it, and what the final product will look like, all on top of helpful and illustrative descriptions to aid your understanding along the way.

I really enjoyed making this course and I think you’ll enjoy taking it just as much.

Looking forward to seeing you taking this course!

Who this course is for:

• Beginner/Intermediate Python Developers
• Individuals looking to learn more about Web Scraping and Automation

Who this course is for:

Individuals looking to learn Web Scraping and Automation

Learn To Create AI Assistant (JARVIS) With Python

How To Create AI Assistant (JARVIS) With Python Like the One from Marvel's Iron Man Movie

What you'll learn

• how to create an personalized artificial intelligence assistant
• how to create JARVIS AI
• how to create AI assistant

Requirements:

• Basic knowledge of Python
• Basic programming concepts

Description:

Embark on a fascinating journey into the realm of Artificial Intelligence by learning to craft your own AI Assistant, affectionately named JARVIS, using the powerful Python programming language. Artificial Intelligence stands as one of today's most burgeoning technologies, offering vast potential across various domains.

In this meticulously crafted course, you'll delve into the foundational principles of Artificial Intelligence and delve deep into the creation of an AI Assistant named JARVIS. Through hands-on projects and real-world examples, you'll grasp the essentials of AI while building your very own functional AI Assistant.

Course Highlights:

The centerpiece of this course is the creation of a fully operational AI Assistant, JARVIS. You'll explore key libraries like pyttsx3, Wikipedia, WolframAlpha, and more to equip your assistant with an array of capabilities. Voice commands will bring your AI Assistant to life, enabling it to perform tasks like sending emails, searching the web, interacting with Wikipedia, and much more.

What You'll Learn:

• Fundamental Concepts of Artificial Intelligence: Acquire a solid grasp of the core principles underpinning AI technology.
• AI Assistant Creation: Develop a comprehensive understanding of building an AI Assistant using Python.
• Library Integration: Learn how to utilize libraries like pyttsx3, Wikipedia, and WolframAlpha to empower your AI Assistant.
• Voice Commands: Enable your AI Assistant to respond to voice commands, adding a dynamic element to interactions.
• Task Automation: Teach your AI Assistant to perform tasks such as sending emails, browsing Google, Wikipedia searches, and more.
• System Integration: Integrate your AI Assistant with the Windows Operating System for seamless interaction.
• Advanced Features: Explore advanced functionalities like sending emails, web searches, taking screenshots, playing songs, and more.

Target Audience:

• Beginners intrigued by Python programming and the realm of Artificial Intelligence.
• Beginners intrigued by Python programming and personalized AI assistants.
• Aspiring Python developers seeking to broaden their skills.
• Those with a keen interest in Python and the world of Artificial Intelligence.

Course Level:

• Beginner

Join Now:

• Don't miss this opportunity to take your first steps into the captivating world of AI and Python. Enroll now and begin your journey toward creating your very own AI Assistant – your personal JARVIS.
• 
  
• Unlock the potential of AI and elevate your programming expertise. Enroll today and start your learning journey!

Who this course is for:

Individuals new to Python and curious about Artificial Intelligence.

Those interested in crafting their own personalized AI assistant using Python.

Beginners eager to learn and explore the Python programming language.

Python developers looking to expand their skill set.

Python Pandas Data Crash Course 2023 Learn by Doing.

Speed up Data Analysis & Visualization with Python Pandas library in easy & simple way also Master using it with SQL.

What you'll learn

• What is Python Pandas library or module & how to use its methods.
• How to use pandas in Data Analysis And data Science.
• Use Python BS4 & Pandas to Scrape a web-page, Analyze and visualize The Scraped Data.
• Use Python to load Postgres Data Output file.
• Use Python Pandas to Analyze and visualize Postgres Data Output.
• Use Python to visualize Postgres Data Output and get your Conclusion about Data

Requirements

Computer and internet.

No primer programming experience needed for this course.

Description

The most important part of data science is understanding the data that is available to data scientists. You will only be able to achieve the best outcomes if you have the correct knowledge of data and the appropriate data for the task at hand. The analysis, Visualization, and manipulation of data are all very important in Data Science.

Everything about machine learning and data science is made exceedingly simple with Python. We may easily achieve any desired action by utilizing some of the top libraries available in Python. Pandas is one such package that allows us to examine and manipulate data in order to reduce the complexity and speed up the problem-solving process.

One of the best features available in Python for data analysis operations is the Pandas library. You are capable of doing a wide range of jobs with ease. In this course, we'll look at the various sorts of operations that every data scientist must employ in order to complete a project with the least amount of resources while reaching the maximum level of efficiency.

What you will learn in this course ?

1. Starting with the Basics:

• Begin by mastering the essential skill of Installing Python 3, setting up your development environment for a seamless coding experience.
• Discover the functionality of Python IDLE, your interactive playground for writing and executing Python code.
• Navigate the world of programming environments as you learn how to choose the right Python IDE, ensuring a comfortable learning journey.

2. Harnessing Powerful Tools:

• Elevate your coding prowess by learning to Install Anaconda, an all-in-one platform for Python coding and data science projects.
• Explore the capabilities of Online Jupyter for Python Programming, an interactive environment for data exploration and analysis.
• Gain confidence as you navigate and utilize the features of Python IDLE, building a strong foundation for your coding endeavors.

3. Grasping Fundamentals:

• Delve into the core concepts as you decipher Variables & Operators in Python, understanding their pivotal roles in programming.
• Uncover the various Operator Types available in Python, empowering you to manipulate data with finesse.
• Develop a deep understanding of Python Data Types, the building blocks of your programs.

4. String Manipulation and Input Handling:

• Manipulate and process text efficiently by mastering String Functions & Entries in Python.
• Learn how to gather user input effectively through the Input String Function, enhancing interactivity in your programs.

5. Building Robust Structures:

• Explore the realm of Python Data Structures, such as Lists, Dictionaries, and Tuples, discovering their unique strengths and applications.
• Learn to construct Lists and perform various operations, equipping you with versatile data handling skills.
• Dive into Dictionaries, uncovering their power in storing and retrieving data, along with a range of operations.
• Master Tuples, understanding their immutability and how they can streamline your code.

6. Controlling Flow and Iteration:

• Grasp the concept of iteration by understanding For Loops in Python, an essential tool for repetitive tasks.
• Utilize For Loops to create Sets and perform operations that help manage and manipulate unique data collections.
• Navigate the intricacies of Control Flow and Loops, gaining a strong foundation in program control and logic.

7. Making Decisions with IF Statements:

• Learn how to make logical decisions in your code using IF Statements, an indispensable skill for building dynamic applications.

8. Expanding Your Looping Knowledge:

• Further expand your knowledge of For Loops, exploring advanced techniques for efficient coding.
• Delve into the world of While Loops, mastering their usage for scenarios that require continuous iteration.

9. Navigating Errors and Functions:

• Acquire the skills to gracefully handle errors that might arise in your Python programs, ensuring your code's robustness.
• Dive into the world of Python Functions, learning when and how to implement them to create modular and reusable code.

10. Unleashing the Power of Functions:

• Expand your understanding of Function Creation in Python, delving into techniques for designing efficient and effective functions.
• Master the art of concise coding by exploring Lambda Expressions in Python, unlocking new ways to express functionality.

11. Organizing Code with Modules:

• Discover the importance of Python Modules, learning how to create, utilize, and organize your code effectively.

12. Data Analysis and Visualization:

• Harness Python's capabilities for data analysis by learning how to use Python to open files and access data from various sources.
• Dive into the systematic Data Analysis Process, step by step, uncovering insights and trends hidden within datasets.
• Immerse yourself in the world of Python Pandas Library Methods, acquiring the skills to manipulate and transform data effectively.
• Explore the application of Python Pandas Library for Data Analysis, discovering its potential for uncovering meaningful patterns.
• Elevate your insights by mastering Python Pandas Library Data Visualization, visualizing data to communicate findings effectively.

Who this course is for:

Are you want to learn more about Python Pandas library Methods & Functions?

Are you want to learn more about Data Analysis using Python Pandas library?

Are you want to learn more about Python + PostgreSQL?

Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.

Python And Flask Framework Complete Course

Depth Introduction To Python Programming And Python Web framework Flask.

What you'll learn

• Write Python scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts
• Getting Started,Values and Data Types, Operators and Operands, Function Calls of Python
• Use variables to store, retrieve and calculate information
• Data Types, Type Conversion, Functions, Statements and Expressions
• Go from Beginner to Advanced in Flask Framework, Flask Framework Basics To Advanced concepts
• Flask Framework Overview And Environment
• Flask Framework Routing,Variable Rules
• Flask Framework URL Building,HTTP Methods
• Flask Framework SQL Alchemy
• Flask Framework Deployments

Requirements

Only the very basic computer skills are needed

A computer, Access to the internet, An interest in learning Python

Description

This course is a depth introduction to fundamental python programming concepts.

Learn Python From Beginner To Advanced Level

I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

The course starts with the basics, including Python fundamentals, programming, and user interaction.

The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.

The topics covered in this course are:

Beginner to Expert Python contents:

• Array implementation
• File methods
• Keywords and Identifiers
• Python Tuples
• Python Basics
• Python Fundamentals
• Mathematical Functions
• Data Structures
• Object-Oriented Programming with Python
• Functional Programming with Python
• Lambdas
• Decorators
• Generators
• Testing in Python
• Debugging
• Error Handling
• Regular Expressions
• Comprehensions
• Modules

See you inside the course!

Flask is a popular Python web framework. The tutorials in this section are intermediate to advanced tutorials that cover key aspects of Flask development.

Flask Framework:

• Flask Web Framework, In this course, you will learn the fundamentals of web applications .so that you can start building API and develop web applications using Python Flask Web Framework.
• How to build Python web apps with Flask
• How to use the Jinja template language to create the look of your apps
• How to use the SQLite database to start development
• How to use other databases with Flask by using Flask-SQLAlchemy
• Using Flask to process incoming request data.
• Course Overview
• Flask Framework - URL Building
• Flask Framework - HTTP Method
• Flask Framework - Templates
• Flask Framework - Static Files
• Flask Framework - Request Object
• Flask - Request.from Object
• Flask Framework - Cookies
• Flask Framework - Session Object
• And More...

Who this course is for:

• For Complete Programming Beginners
• For People New to Python
• For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development

Python Programming & Software Design For Absolute Beginners

No prior programming knowledge? No problem. Get hands-on coding # Beginners Guide to Programming and Software Design

What you'll learn

• Python Programming
• Software Design - Flowcharts
• Basic Sorting algorithms

Requirements

• Internet connection

Description

Interested in learning Python programming but lacking prior experience? Look no further than the Academy of Computing & Artificial Intelligence's (ACAI) Python programming course!

The ACAI's Python programming course is designed to take you from an absolute beginner to an advanced programmer. The expert team behind this comprehensive course includes PhD holders, senior lecturers, industry experts, and hiring managers. You'll receive step-by-step guidance and guided tutorials, allowing you to gain hands-on coding experience in Python. Additionally, you'll learn about software design concepts, such as flow charts, pseudocodes, algorithms, and modular design.

Upon completing this course, you'll have a strong foundation in Python programming and the confidence to elevate your core programming skills to an advanced level. You'll also gain an understanding of important topics like environment setup, variables, lists, tuples, dictionaries, boolean operations, conditions, loops, functions, and file handling.

Furthermore, the course incorporates live code demonstrations to illustrate the application of each concept and principle. Interactive Q&A sessions will help you find answers to your questions and develop valuable problem-solving skills.

ACAI's founder brings over 10 years of work experience as a researcher, senior lecturer, project supervisor, and engineer. Holding a Master's degree in Artificial Intelligence and a Bachelor's degree in Software Engineering with First Class Honors from the University of Westminster in the UK, he is also a Sun Certified Java Programmer and a Sun Certified Web Component Developer. His research experience spans data mining, machine learning, cloud computing, business intelligence, and software engineering.

Enroll in our Python programming course at ACAI today and acquire the skills and knowledge to excel in the IT, computer science, engineering, or data science sectors. Our industry experts are passionate about assisting you in reaching your goals and providing top-notch training.

By the end of these videos, you will have a solid understanding of the following areas:

• Python programming
• Setting up the programming environment
• Python for absolute beginners, including how to set up the environment with Anaconda, and working with variables, lists, tuples, and dictionaries
• Boolean operations
• Conditions and loops, including sequence, selection, and repetition/iteration
• Functions
• File handling in Python
• Flow charts
• Algorithms
• Modular design
• Introduction to software design and problem-solving
• Software design, including flowcharts for sequence and modular design, and repetition
• Flowchart questions and answers for problem-solving.