Python 101 (2026)
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 42m | Size: 418.67 MB
What you'll learn
Students will learn coding platform Jupyter Notebook for Python coding
They will learn how to declare variables, types and how to get input values from users prompt
They will learn conditional statements of the Python coding
They will understand concept behind loops and when to use loops and user defined functions
Requirements
There are no requirements. Since course is designed from scratch so students from versatile backgrounds can start learning
Description
Python 101 is the perfect starting point for beginners eager to master Python. This course guides you from absolute basics, like variables, data types, and loops, to essential concepts such as functions, file handling, and error management. Each video features clear explanations, practical examples, and hands-on exercises to reinforce learning. Whether you aim to pursue data science, web development, or automation, this series builds a solid foundation. No prior coding experience needed. Start your programming journey today and unlock the power of Python with this step-by-step, beginner-friendly tutorial collection.
Before we write a single line of code, let's answer the big questions in the first chapter as a mind map of our course. What is Python? It's a programming language, but think of it more like a superpower. Simple to read, powerful to use, and loved by beginners and pros alike. Why Python? Because it's forgiving, flexible, and everywhere. No crazy symbols, no weird rules. Just clean, readable code that feels almost like plain English. Python in the real world It's running your favorite apps, powering Netflix recommendations, analyzing NASA data, automating boring office tasks, and even driving AI and self-driving cars. Seriously, it's everywhere. No fluff, no hype. Just the honest truth about why Python is worth your time. Let's begin!
Who this course is for
For anyone curious about Python and stat a career in Coding that can lead to Data Science
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