How to use Google Colab for Python | Gretting started with Google Colab | Great Learning

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Looking for a career upgrade & a better salary? We can help, Choose from our no 1 ranked top programmes. 25k+ career transitions with 400 + top corporate companies. Exclusive for working professionals: https://glacad.me/2PyDli9 🔥 Get the Course material and session PDF here: https://glacad.me/2R7WsA7 🔥 "Great Learning brings you this live session on ""How to use Google Colab for Python"". In this session, we are going to talk about Google Colab which is a free notebook environment that runs entirely in the cloud. It lets you and your team members edit documents, the way you work with Google Docs. We will see how we can write python codes in it and what all other cool features it provides which can save our time and can make a developer's life much easier. Not only that but we will also cover some of your doubts regarding the same such as why we should use Google Colab? why other editors are not used? and Why we should use it when we work with larger programs. This is a beginner-friendly live session that aims at helping you get started with using Google Colab for Python on the right note!" Visit Great Learning Academy, to get access to 200+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/2QYGrME Get the free Great Learning App for a seamless experience, enroll for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl About Great Learning: - Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.