Everything You Need to Know to Start Coding in Python!

Hey, everyone, Suyash here! Ever felt lost in the vast world of Python? You're not alone. I started my coding journey feeling the same way, but over time I've navigated the ecosystem and want to share a clear map with you. In this video, we'll demystify the core concepts and essential tools every beginner needs to know.

From understanding what makes Python so unique and powerful to setting up your very first coding environment, we'll cover it all. You'll learn about different IDEs like VS Code and Jupyter, how to manage your project's dependencies with virtual environments, and which frameworks are best for web development, data science, and more.

By the end of this guide, you'll have a solid foundation and know exactly which tools fit your coding goals. Whether you're building APIs, training machine learning models, or automating tasks, this video is your Python starter kit.

Ready to start your journey? Let's dive in!

Video Chapters:

00:10 Intro
00:50 What is Python?

Python Foundational Features

02:20 - Compiler Vs Interpreter
03:20 - Python as Interpreter Based Language
06:58 - Dynamically Typed
07:23 - What is a Programming Paradigm
07:48 - Python's Multi Paradigm Support

IDEs, Code Editors & Development Environments

15:50 - The Beginner-Friendly IDLE
17:17 - VS Code
17:49 - PyCharm
18:19 - Jupyter Notebooks
19:01 - Google Colab
19:41 - Google Colab Demo

Environment and Package Management

23:07 - What is an Enviroment in Python?
23:25 - What is a Virtual Enviroment?
23:46 - Why You Need Virtual Environments?
26:00 - venv, pip & requirements.txt
31:29 - conda
32:10 - Uvicorn & Gunicorn
32:44 - Web Devlopment Frameworks

The Python Ecosystem (Specialised Libraries)

34:50 - Data Manipulation
35:12 - Data Visualization
35:36 - Machine Learning & AI
36:03 - Web Scraping
36:41 - Image Processing
37:05 - NLP & LLMs


Step-By-Step guide for :
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🧪 1. Creating a Virtual Environment in Python

Open your terminal or command prompt
Navigate to your project folder
Create a virtual environment using Python’s built-in tool
Activate the virtual environment based on your operating system
Confirm activation by checking the terminal prompt

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📝 2. Creating and Running a Script in IDLE

Launch IDLE from your system
Go to “File” and select “New File” to open the script editor
Write your Python code in the editor window
Save the file with a `.py` extension
Run the script using the “Run” menu or the F5 shortcut
View output in the Python Shell window

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📦 3. Using pip and requirements.txt to Freeze and Recreate Environments

Install the packages you need while inside the virtual environment
Use pip to generate a `requirements.txt` file listing all dependencies
Share or store the `requirements.txt` file with your project
On another machine or setup, create and activate a new virtual environment
Use pip to install all dependencies from the `requirements.txt` file

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