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  1. colab.research.google.comGoogle Colab

    Colab notebooks execute code on Google's cloud servers, meaning you can leverage the power of Google hardware, including GPUs and TPUs, regardless of the power of your machine. All you need is a browser.

  2. colab.research.google.comGoogle Colab

    With Colab you can import an image dataset, train an image classifier on it, and evaluate the model, all in just a few lines of code. Colab notebooks execute code on Google's cloud servers, meaning you can leverage the power of Google hardware, including GPUs and TPUs, regardless of the power of your machine.

  3. colab.research.google.com › notebooks › basic_features_overviewGoogle Colab

    Colab provides automatic completions to explore attributes of Python objects, as well as to quickly view documentation strings. As an example, first run the following cell to import the numpy module.

  4. Welcome to the first practical work of the week! In this practical, we will learn about the programming language Python as well as NumPy and Matplotlib, two fundamental tools for data science and machine learning in Python. [ ]

  5. Colab is a Python development environment that runs in the browser using Google Cloud. For example, to print "Hello World", just hover the mouse over [ ] and press the play button to the upper left. Or press shift-enter to execute.

  6. As of Janurary 1, 2020, Python has officially dropped support for python2. We'll be using Python 3.7 for this iteration of the course. You can check your Python version at the command line by running python --version. In Colab, we can enforce the Python version by clicking Runtime -> Change Runtime Type and selecting python3. Note that as of ...

  7. colab.research.google.com › github › csmastersUHPython - Google Colab

    The main data structures in Python are strings, lists, tuples, dictionaries, and sets. We saw some examples of lists, when we discussed for loops. And we saw briefly tuples when we introduced argument packing and unpacking.

  8. colab.research.google.com › notebooksGoogle Colab

    chevron_right. GitHub. chevron_right

  9. colab.research.google.com › notebooks › mlccGoogle Colab

    Gain an introduction to the DataFrame and Series data structures of the pandas library. Access and manipulate data within a DataFrame and Series. Import CSV data into a pandas DataFrame. Reindex a DataFrame to shuffle data. pandas is a column-oriented data analysis API.

  10. Colaboratory, or "Colab" for short, allows you to write and execute Python in your browser, with. Zero configuration required. Free access to GPUs. Easy sharing. Whether you're a student, a data scientist or an AI researcher, Colab can make your work easier.

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