Beginner Friendly Python Course Using Google Colab Notebooks Github

Leo Migdal

-Nov 17, 2025, 7:50 PM

beginner friendly python course using google colab notebooks github

If you are viewing this page on GitHub, you may want to switch to the standalone website for a better experience. WDSS’s Beginner’s Python course is designed for anyone completely new to Python or even programming in general. The course is self-contained and approaches the language in a slow and friendly manner, assuming no prior knowledge. All of our resources are free to be used by anyone, though WDSS do offer teaching and mentorship for this course to make learning even easier. Keep an eye on our socials to be the first to know when we begin a new iteration. To make learing Python as simple as possible, we have centred our course around the use of Google Colab, a free, interactive cloud environment for Python programming.

You can get setup with Colab by visiting this link or searching for Google Colab (using Google Chrome, as this has the best compatibility, unsurprisingly). Sign up using a Google account and get started by going to File > New Python Notebook. All of our exercise and solution sheets also have links to open them in Colab. Once you are finished with your work, save these to your own drive using File > Save a Copy in Drive. If you wish to avoid using Google Colab or want to code without an internet connection, you can setup up Anaconda on your computer to obtain a similiar, but local, experience. You can do this by visting this link and following installation instructions.

Once you have Anaconda installed, open the Anaconda Navigator (this is just a normal program you’ll find in your start menu). Then, launch ‘Jupyter Notebook’ and click New > Python 3 Notebook. This will create a blank Python 3 notebook just like with Colab. You can still use our templates by downloading the raw file from GitHub, placing it in your documents, and navigating to it in Jupyter. Welcome to this beginner-friendly repository! 👋 This repository contains a Google Colab Notebook that covers the fundamentals of Python programming along with some basic Data Structures and Algorithms (DSA) concepts.

It is designed to help absolute beginners quickly grasp the core concepts of Python and begin their journey into programming and problem-solving. The notebook is divided into clear, easy-to-follow sections with examples, explanations, and code snippets for each topic: What is Python? Brief overview of Python and why it's popular. Variables and Datatypes Explanation of variables and different datatypes like int, float, string, boolean, etc. An introduction to commonly used data structures and simple algorithms to build a strong foundation for problem-solving.

In the realm of deep learning, PyTorch has emerged as one of the most popular and beginner - friendly frameworks. Google Colab provides a free cloud - based environment with GPU support, making it an ideal platform for beginners to experiment with PyTorch. GitHub, on the other hand, is a vast repository of code where developers share their projects, including beginner - friendly PyTorch Colab notebooks. This blog will guide you through the fundamental concepts, usage methods, common practices, and best practices of using beginner PyTorch Colab notebooks on GitHub. PyTorch is an open - source machine learning library developed by Facebook. It provides a flexible and intuitive interface for building and training neural networks.

PyTorch uses tensors, which are similar to arrays in NumPy but can run on GPUs for faster computation. It also has automatic differentiation capabilities, which simplifies the process of calculating gradients for backpropagation. Google Colab is a free Jupyter notebook environment that runs in the cloud. It offers free access to GPUs and TPUs, which can significantly speed up the training of neural networks. Colab notebooks are stored in Google Drive, and users can easily share them with others. GitHub is a web - based platform for version control using Git.

It allows developers to host, manage, and share their code repositories. GitHub has a large community of developers, and you can find a wide variety of PyTorch Colab notebooks, from simple tutorials to complex research projects. To find beginner - friendly PyTorch Colab notebooks on GitHub, you can use the search bar on the GitHub website. Some useful search queries include: This course introduces beginners to Python programming using Google Colab. It covers basic Python syntax, data structures, functions, and libraries commonly used in data analysis and machine learning.

By the end of the course, students will be able to write Python scripts, manipulate data, and use Google Colab for cloud-based coding. Objective: This course is designed to teach absolute beginners the fundamentals of Python programming using Google Colab, a free, cloud-based platform. By the end, you’ll be able to write basic Python code, work with data, and create simple visualizations—all while building confidence to explore programming further. Duration: 7 modules over 6-8 weeks (1-2 hours per week, depending on pace). Prerequisites: No prior coding experience required; basic familiarity with using a web browser and Google Drive is helpful. Support: Save your work in Google Colab notebooks and revisit them as needed.

Reach out with questions—programming is a journey best taken with curiosity and patience! Module 1: Introduction to Google Colab and Python If you’re just starting your Python journey, one of the easiest (and free!) ways to practice coding is Google Colab. Think of it as a cloud-based Jupyter Notebook that lets you write and run Python code directly in your browser—no installation, no setup headaches. Google Colab removes the barriers to entry for Python learners. Whether you’re a student, a professional exploring programming, or just curious about coding, it’s a powerful tool to get started—right in your browser.

So, open a Colab notebook today and start your Python journey! A complete collection of Google Colab Notebooks, PDFs, and resources created by Lovnish Verma for learning and teaching Python programming, Data Science, Machine Learning, and Deep Learning concepts interactively. 📚 50+ Notebooks | 🎓 Progressive Learning | 🚀 Production Ready | 💼 Industry Projects 🚀 Quick Start • 📖 Documentation • 🎓 Learning Path • ❓ FAQ • 💬 Community Choose your starting point and begin transforming your career today! Join thousands of learners who have transformed their careers with our comprehensive, hands-on approach to Python and Data Science.

Beginner Friendly Python Course Using Google Colab Notebooks Github

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