Python Resources - Basic Python, ML, DataScience, BigData
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Netflix Metaflow
Metaflow
is built for data scientists, not just for machines
Successful data science projects are delivered by data scientists who can build, improve, and operate end-to-end workflows independently, focusing more on data science, less on engineering.

To get started quickly, follow the tutorial.
Source Code here
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Python Module Summaries

View the dependencies and sub-dependencies of every Python module on the Python Package Index (PyPI) as a collapsible tree along with a summary.
Get an immediate understanding of any modules's features and the problems it can solve.

#python #tools #modules
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Data Science Tools
Get started with some of the most popular tools for collaborative data science, including RStudio IDE, Jupyter Notebooks, Apache Zeppelin notebooks, and IBM Watson Studio. Use the tools directly on Skills Network Labs, a cloud lab environment that brings powerful open data science tools together so you can analyze, visualize, explore, clean data, run models and create apps.

🔥 Free Training 🔥

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​​Papermill

Papermill is a tool for parameterizing, executing, and analyzing Jupyter Notebooks.

Papermill lets you:
* parameterize notebooks
* execute notebooks

This opens up new opportunities for how notebooks can be used. For example:
* Perhaps you have a financial report that you wish to run with different values on the first or last day of a month or at the beginning or end of the year, using parameters makes this task easier.
* Do you want to run a notebook and depending on its results, choose a particular notebook to run next? You can now programmatically execute a workflow without having to copy and paste from notebook to notebook manually.

#python #tools #papermill #jupyterNotebook