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Introduction to Modern Python Programming

   Author: Baturi   |   07 July 2026   |   Comments icon: 0


Introduction to Modern Python Programming

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Introduction to Modern Python Programming, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 12h 43m | Size: 5.2 GB
Learn modern Python from scratch: control flow, functions, OOP, decorators, generators, and much more with Python 3.14.


What you'll learn


Write and run Python code effectively, from a basic to an intermediate-advanced level
Set up a real, professional Python development environment
Master Python's built-in data structures (lists, tuples, dicts, sets, and more) and understand mutability and object identity
Write clean, reusable functions, including advanced patterns like *args/**kwargs, closures, and decorators
Build object-oriented programs using classes, special (dunder) methods, and inheritance
Read and write files safely, and organize larger programs using modules, packages, namespaces, and scope

Requirements


No prior programming experience required. This course starts from scratch
A computer (Windows, macOS, or Linux) able to install free, open-source tools. Full setup instructions are included in the course
Curiosity and willingness to practice (the notebooks are meant to be run and experimented with)

Description


This course is a comprehensive, modern introduction toPython programming, built from scratch for anyone who wants to learn to code (no prior programming experience required).
Rather than rushing through syntax, we build a real mental model of how Python actually works, then reinforce it through slide explanations, live coding, and hands-on exercises after every chapter.
We'll start with the fundamentals: setting up a professional Python environment (VS Code, Conda, Jupyter), using Python as a calculator, and masteringcontrol flow with conditionals and loops. From there, the course moves into Python's coredata structures (strings, lists, tuples, dictionaries, sets, etc.) before diving deep intofunctions, including default arguments, *args/**kwargs,closures, and functional tools like map, filter, and lambdas.
The second half focuses on what separates beginners from more advanced Python developers:decorators,object-oriented programming (classes, special/dunder methods, inheritance, and abstract classes), and the practical skills real and impactful projects need:exception handling, file I/Oandcontext managers, and how Python'smodules, namespaces,andscopes actually work.
Every chapter includes multiple-choice exercises and coding challenges with full solutions, so you can check your understanding immediately.
By the end, you won't just know Python syntax. Instead, you'll understandwhy Python behaves the way it does, ready to write clean, idiomatic, production-quality code.
The presentation slides for this course were generated with Gamma AI, based entirely on outlines, talking points, and content written by the instructor. All code, exercises, and explanations are original and created by the instructor.
Whether you're brand new to programming or coming from another language, this is a proper, modern foundation inPython from scratch.

Who this course is for


Absolute beginners: people with zero coding background who want a practical, hands-on foundation in Python
Curious minds: developers a little familiar with Python already, but who want to understand how it actually works under the hood
Language switchers: developers who already know another programming language and are moving to Python
AI-assisted coders: people who mainly rely on AI tools to generate code and want to actually understand what that code is doing

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