[2] 5 Amazing Google Colab Hacks You Should Try Today! We no longer have the restriction of poor computational power on our machines. What is Fintech? If you are using TensorFlow, you might want to use TPUs on Colab. Interactive tutorials to learn machine learning and neural networks. Styling contours by colour and by line thickness in QGIS. Before diving directly into writing code, let us familiarise ourselves with writing the code notebook style! Text cell You can share your Google Colab notebooks very easily. If you want to insert a block of code, you can use triple backticks and also specify the programming language: Extensions are a very productive way of enhancing your productivity on Jupyter Notebooks. Hence, it further leads to a lot of back and forth re-sharing. Thanks to Google Colab everyone with a Google account can just copy the notebook on his own Google Drive account. New Python content every day. Some advantages to Gradient compared to Google Colab include: Kaggle is another Google product with similar functionalities to Colab. Kaggle is a popular platform for its Data Science Competitions, however, they also provide free Kernels or Notebooks for performing all the Machine Learning and Data Science tasks, independent of the competitions. Kaggle also comes with many Python packages preinstalled, lowering the barrier to entry for some users. But if access management and security are at stake, you will find that this approach is difficult to industrialize. How do we know? It has a history recording feature that records all of your changes to the notebook in fine detail and allows you to browse those changes using an intuitive slider control. SEO Lead @ Intracto Belgium Python, Marketing, Data , Economics, Climate https://www.twitter.com/vdrweb https://www.linkedin.com/in/michaelvdr, https://colab.research.google.com/notebooks/forms.ipynb, https://colab.research.google.com/notebooks/intro.ipynb, Thanks to Python its possible to make calculations over 100000 rows of cells without breaking your spreadsheet. With free GPUs and CPUs, storage, uninterrupted service, an intuitive UI, ML project templates, and much more, its hard to imagine a use case where Gradient wouldnt fit the bill.
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