Google Colab Crash Course in 30 Minutes
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 192 MB | Duration: 17 lectures • 32m
Learn Colab in 2022 and run Python programs on the web browser

What you'll learn
You will be able to program in Python
Be able to use Python for data science and machine learning
You will learn to run Python programs on the web browser
Run Python programs professionally without installing any software
Run Data Science and Machine Learning programs on the cloud
Requirements
PC, MAC, Computer with access to the Internet
No paid software required
Will teach how to write and run Python programs with Colab on the web browser
Will teach how to run Numpy, Pandas, Matplotlib, etc. with Colab on the web browser
Description
Welcome to the Google Colab Course by Studyopedia !!!
Google Colab is a Notebook Environment that runs entirely on code. Avoid the hassles of installing Python on your system and directly run your Python programs on a Web Browser.
In this course, learn all about Google Colab and how it eases the work of a programmer. We have discussed how to begin with Colab, run your first program, set up libraries, run pandas, Numpy, and Matplotlib programs, etc. Sample programs with all these libraries are also discussed. Colab supports all Data Science and Machine Learning libraries.
We have also discussed the basic layout of Colab, how to increase the font, display line numbers, and enable dark mode. With that, how to set free Runtime Type i.e. GPU and TPU is also discussed. Also, an overview is discussed, about the paid versions of Google Colab i.e. Colab Pro and Pro+, with all the comparisons.
With Colab, easily share the code with your friends and colleagues using GitHub and Google Drive. Sharing is caring! However, Colab automatically saves your code on Google Drive, making it easier to keep a backup. Therefore, avoid hassles in saving your codes on the system.
Let's start the journey!
Who this course is for
Beginner Python Developers
Developers curious about setting up Data Science libraries
Developers curious about setting up Machine Learning libraries
Programmers want to code Python without installing any software
Programmers want to code Python on a Web Browser
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