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Colab lets you write and execute Python code in your browser, with access to GPUs and TPUs, and easy sharing of notebooks. Learn how to use Colab for data science, machine learning, and more with examples and tutorials.
- Overview of Colaboratory
Below is a code cell.Once the toolbar button indicates...
- Interactive Forms
Forms provide an easy way to parameterize code. From a code...
- TensorFlow With GPUs
This notebook provides an introduction to computing on a GPU...
- Charts: Visualizing Data
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- Interactive Widgets
This notebook demonstrates use of Colab's layout widgets....
- Intro to Pandas
pandas is a column-oriented data analysis API. It's a great...
- Machine Learning
Google's fast-paced, practical introduction to machine...
- Using Jupyter Notebooks
Colab and the Jupyter notebook editor in Anaconda are two of...
- Overview of Colaboratory
Colab is a hosted Jupyter Notebook service that provides free access to computing resources, including GPUs and TPUs. Colab is well suited to machine learning, data science, and education, and offers features, updates, and resources.
JupyterLab is a web-based interactive development environment for notebooks, code, and data. It supports over 40 programming languages, including Python, R, Julia, and Scala, and integrates with big data tools and JupyterHub.
Learn and explore various topics with Google Colab notebooks, a free online platform for Jupyter notebooks. Find notebooks on AI, data, cloud, education, science and more.
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Intro to Jupyter Notebooks. Jupyter Notebooks are interactive coding environments composed of sequential cells where each cell is either code or documentation (like this first text cell)....
