Google Colaboratory, or Google Colab, is a web-based development environment allowing users to run and write code in Python. It is free of cost environment provided by Google that enables users to execute code, save and share notebooks, and collaborate with others in real time. It can also be directly put into GitHub. In this lesson, we'll look closely at Google Colab and explore some of its features.
Getting started with Python Coding
Python may be a cross-platform programming dialect, which suggests that it can run on different platforms like 💻Windows, 🍎macOS, and 🐧Linux, and it has indeed been ported to ☕Java and .NET virtual machines. It is free and open-source.
:man_technologist:IDEs make the developer's job easier by combining necessary tools during software development. Many IDE (Integrated Development Environment) and code editors are available as per the developer's requirement. A few famous IDEs and code editors are PyCharm, Visual Studio Code, Jupyter notebook, Google Colab, etc.
Google Colab for Python Programming
Google Colab is a powerful and free development environment that provides many features for developing and running Python code. Google Colab is an excellent platform for developing and running Python code without any installations. Google Colab also provides advanced components like GPU and TPU support, which are useful for running machine learning and deep learning models. You can also use Google Colab to collaborate with others on your code in real-time by directly pushing to GitHub or sharing it via the link now, making it an excellent platform for team projects. It's an ideal platform for beginners and advanced enthusiasts.
📓 Colab, or "Collaboratory," allows you to write and execute Python in your browser, with
:man_student: Whether you are a understudy, a 🧑🔬 data researcher, or an :man_technologist: AI analyst, Colab can make your work less demanding. You'll begin your Python coding right absent from https: //colab.research.google.com/
Why use Google Colab for Python
Using Google Colab for Machine Learning
Google Colab is an excellent tool for machine learning projects. It provides access to free GPU and TPU resources that can significantly speed up model training. To use the GPU or TPU, select it from the "Runtime" menu. You can also install popular machine learning libraries such as Sklearn, TensorFlow, and PyTorch to use those in your modeling.
Note: You can only use a GPU or TPU for a limited time, up to 12 hours before it times out.
How to Use Google Colab:
Get Familiar With AlmaBetter Coding IDE
You can type Python code to solve the exercises in the proper Python script. If you hit ▶️ , your python code will be executed, and the output will be shown in the Console. If it is completed successfully, 📤.
On the right side of this page, you can explore the integrated IDE for your practice.
Please copy the below code snippet and paste it into the IDE, choose Python mode, and click Run Code.
print("Hello World !") print("I will be a Data Scientist.") print("AlmaBetter")
Hurrah! Welcome to the programming world. You did your first coding.
All the Best !!!
Google Colab could be a vigorous advancement environment that's simple to utilize and totally free. It gives numerous features, counting collaboration, TPU, and GPU support, making it an great choice for anybody who needs to run the code rapidly and effortlessly. With built-in libraries and bolster for numerous programming languages, it's a idealize choice for python devotees.
Answer: b. A web-based development environment
Answer: b. Python
Answer: d. It is cloud-based and does not require installation on your computer
Answer: c. GPU support
Answer: c. A Google account
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