How to Run Python Without Installation? | Google Colab Tutorial in Hindi | Python Series
Автор: Statistics Learning
Загружено: 2025-12-07
Просмотров: 72
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Welcome to Lecture 2 of the "Python Programming & Data Science Basics" course! 🚀
In this video, we dive into the practical side of Python. I will show you how to install and set up Python on your system using 5 different methods. Whether you are using Windows, Mac, or Linux, this guide covers everything you need to start coding today.
We will compare popular IDEs like VS Code, PyCharm, and Jupyter Notebook, and finally, I will reveal my personal favorite tool for this course which requires ZERO installation!
🔥 Topics Covered in this Lecture:
How to download Python from the official website.
What is Jupyter Notebook and why Data Scientists love it.
Setting up VS Code (Visual Studio Code) for Python development.
Introduction to PyCharm IDE.
Google Colab Tutorial: How to run Python code in the cloud for free (with AI features).
📌 Important Links Mentioned:
Python Official Site: python.org
Anaconda (Jupyter): jupyter.org
VS Code Download: code.visualstudio.com
Google Colab: colab.research.google.com
Video Links for Installation (Detailed Videos):
• How to install python in windows || python...
• Python || How to Install Python || How To ...
⏱️ Time Stamps (Chapters):
00:00 - Introduction & Recap
00:54 - Method 1: Python Official Website (Core Python)
02:22 - Method 2: Jupyter Notebook (Anaconda)
06:26 - Method 3: Visual Studio Code (VS Code) Setup
08:11 - Method 4: PyCharm IDE Overview
09:47 - Method 5: Google Colab (Recommended for this Course)
11:30 - Practical Demo: Running Code on Google Colab
13:15 - Using AI Tools in Google Colab
16:28 - What's next? Indentation in Python
👨🏫 About the Course: This course is designed for absolute beginners who want to master Python and transition into Data Science. We will cover everything from basics to advanced libraries like Pandas, NumPy, and Matplotlib.
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Website: learning.maulikanalytics.com
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#datascience
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#googlecolab
#vscode
#pythoninstallation
#learnpython
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