The Complete 2022 Python Programmer Bundle

This course will be building on top of your existing basic understanding of the Python language, and programming in general. It will cover concepts that will take you to the next level of programming expertise, which includes language constructs that are typically not covered in a beginner level course – concepts like generators, decorators, callbacks, higher-order functions, context managers, and more. Moreover, it will discuss some tools that are essential to the life of a professional programmer such as logging for tracking down bugs. This course also tackles parallel programming and asynchronous programming, which are other important concepts you must understand to code in a production environment.

• Access 24 lectures & 3 hours of content 24/7
• Learn about language constructs
• Explore concepts like generators, decorators, callbacks, higher order functions, context managers, & more
• Know some tools that are essential to the life of professional programmers
• Understand parallel & asynchronous programming

Python is fast becoming a worldwide tour de force that is requested by all companies such as Google, Facebook, and Microsoft. This course will ensure you are not left as more and more companies request this awesome language. This course will teach you everything about programming Python applications and websites. You will receive all the knowledge to use and leverage the powerful technology behind these amazing and wonderful platforms. Learn about everything there is to know about Python applications and how to program them.

• Access 85 lectures & 6 hours of content 24/7
• Learn Python programming & its features
• Know about coding semantics
• Explore GUI, CGI, network, email,& XML programming

Learn the basics of Python – data types, structures, lists, strings, tuples, and conditional statements, and how to use them in ArcGIS Pro to explore spatial data, the usage of dictionaries, manipulate spatial data, read and write geometries to text files. The functions performed in this course can be performed in ArcGIS, ArcMap, or ArcGIS Pro. By the end of this course, you will have learned to explore spatial data with ArcGIS.

• Access 11 lectures & 2 hours of content 24/7
• Know the basics of Python & how to use them in ArcGIS
• Explore & manipulate spatial data
• Read & write geometries to text files

Have a full overview of Python programming. This course starts with fundamental Python functionality such as arithmetic, conditional statements, and working with basic data structures. It then expands upon your working knowledge of data structures to work with full-blown datasets in the Pandas package. Within Pandas, you will be able to extract CSVs and Excel files of data, manipulate columns and rows, filter data, group together categories, and much more. Once you’re able to tweak and transform datasets for analysis, you will learn making basic visualizations in Python, which will allow us to take our insights and analysis to the next level.

• Access 24 lectures & 5 hours of content 24/7
• Understand fundamental Python functionality
• Work with basic data structures
• Work with full-blown datasets in the Pandas package
• Extract CSVs & Excel files of data
• Make basic visualizations in Python

In this practical, hands-on course, the main objective is to give you the education not just to understand the ins and outs of Python Programming, but also to learn exactly how the software development industry works, the different roles within a team, and how to land a Python Programming job without a degree. Blending practical work with solid theoretical training, this course takes you from the basics of Python Programming to mastery, giving you the training you need not just to create software programs, scrape websites, and build automation, but also the foundational understanding of data science and visualization so you can become a well-rounded Python Programmer.

• Access 115 lectures & 11.5 hours of content 24/7
• Use the basic Python structures: strings, lists, & dictionaries
• Write Python scripts to perform automated actions
• Use Python Object-Oriented Programming (OOP)
• Create your own Python programs from scratch
• Use core programming tools such as functions & loops
• Use variables to store, retrieve, & calculate information

With very concise explanations, this course teaches you how to confidently translate seemingly scary mathematical formulas into Python code painlessly. Knowing that not many of us are technically adept in the subject of mathematics, this course intentionally stays away from maths unless it is necessary. And even when it becomes necessary to talk about mathematics, the approach taken in this course is such that anyone with basic algebra skills can understand and most importantly easily translate the maths into code and build useful intuitions in the process.

• Access 13 lectures & 3.5 hours of content 24/7
• Identify Multi-Armed Bandit (MAB) problems
• Model real business problems as MAB & implement digital AI agents to automate them
• Understand the challenge of Reinforcement Learning regarding the exploration-exploitation dilemma
• Learn practical implementation of the various algorithmic strategies for balancing between exploration & exploitation
• Do Python implementation of the Epsilon-greedy, Softmax Exploration, Optimistic Initialization, & Upper Confidence Bounds (UCB) strategies
• Understand the challenges of Reinforcement Learning in terms of the design of reward functions & sample efficiency
• Estimate of action values through incremental sampling

With over 100 lectures, this course will teach you Python from scratch. In this course, you will learn Python 3, the most recent and stable version of Python. By the end of this course, you will have learned how to perform various tasks in Python. Learn one of the most sought-after skills of this century – Python. The course also contains exercises and solutions that will help you practice what you have learned. Let’s now add Python to your CV. See you on the other side.

• Access 139 lectures & 8 hours of content 24/7
• Write Python code using the Python Syntax
• Work with JSON in Python
• Build applications that perform data exchange
• Use built-in Python Decorators
• Create custom Python Decorators
• Work with files such as text & CSV in Python
• Write data to CSV, text, & JSON files
• Work with various databases in Python such as SQLite, PostgreSQL, & MYSQL
• Model problems using Python classes

Web scraping is the act of picking out data from a website by looking at the HTML code and identifying patterns that can be used to identify your data. This data can then be gathered and later used for your own analysis. This course will go over the basic of web scraping, learning all about how you can extract data from websites, and all of this is guided along by a working example. At the end of the course, you should be able to go off on your own, pick out the most common websites, and be able to extract all the relevant data you may need just by using Python code.

• Access 29 lectures & 4 hours of content 24/7
• Tackle new challenges by understanding the underlying method/approach to take
• Scrape static web pages
• Be able to scrape websites that use JavaScript
• Extract all sorts of data from websites
• Know what to look for and how to approach parsing a website
• Gather data from all over the internet
• Use recursion algorithms to search through website content

This course is hands-on and very practical. In this course, you'll learn step-by-step how to create several PDF and make them look professional. Every PDF takes me like 2 months to prepare, to structure in a way you can digest, and practice what you learned several times; be patient because this course will be updated frequently! You will not only learn about ReportLab! Also, you will learn how to think, how to structure your code, how to make your code pretty and easy for everyone to understand your work because at the end of the day, these skills are the ones that make companies want you!

• Access 11 lectures & 3.5 hours of content 24/7
• Generate dynamically PDF files with Python
• See practical use cases with a hands-on approach
• Study real-life examples with step-bystep explanation