Google Colab is a free Jupyter notebook that allows to run Python in the browser without the need for complex configuration. It comes with Python installed and has all the main Python libraries installed. It also comes integrated with free GPUs.
Google Colab is truly the fastest way to start using Python on any computer.
In this tutorial, we will cover everything that you need to get started using Python with Google Colab.
Article: [ Ссылка ]
Support my work:
[ Ссылка ]
Subscribe to the Python course waitlist:
[ Ссылка ]
Subscribe to this channel:
[ Ссылка ]
Follow me:
[ Ссылка ]
[ Ссылка ]
[ Ссылка ]
[ Ссылка ]
ML Transcript:
In this beginner tutorial, you'll learn how to use Python with Google Colab. It's the simplest way to get started with Python, and you don't even need to install it! All you need is a Gmail account. Google Colab is a free Jupiter notebook that lets you run Python in your browser without any configuration. You can access it by going to my article or searching on Google.
To get started with Google Colab, you can create a new notebook. One great feature of Jupiter notebooks is that you can add text using markdown syntax. For example, you can write "This is my first Python tutorial." If you add a code box and type "print('Hello, world!')" you'll see how simple it is to run Python code in your browser.
In addition to running code, you can do many other things with Google Colab. You can add headers, text, and links using HTML syntax. You can also enter commands like "pip3 install" or "pip3 list" using the terminal. To do this, you just need to add an exclamation point before your command. For example, "!pip3 install advert-tools". You can also use the "grep" command to find packages that contain certain words, like "tensorflow".
Google Colab has many useful features, including a table of contents, a find and replace tool, and a variable panel that shows you all the variables you've stored. There's also a file explorer, code snippets, search commands, and access to a free GPU if you need extra capacity for machine learning. To store files in Google Drive, you can use the "Mount Drive" command.
Overall, Google Colab is a great tool for getting started with Python, and this tutorial has shown you how to use it to run Python code in your browser.
