pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools.
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Tag: Python
NumPy – core package for scientific computing with Python
NumPy is the fundamental package for scientific computing with Python.
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SciPy – Scientific Computing Tools for Python
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
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Vaex – Multi-code Analysis Toolkit for Visualization and Exploration of Big Tabular Data
Vaex is a program and Python library to visualize and explore large tabular datasets. It can calculate statistics.
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HoloViews – Make Data Analysis and Visualization Seamless
HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple.
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Dask – Advanced Parallelism for Analytics
Dask is a flexible parallel computing library for analytic computing. It takes a Python job and shares it across multiple systems.
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Optimus – profile, clean, process and perform machine learning
Optimus is the missing framework to profile, clean, process and do ML in a distributed fashion using Apache Spark (PySpark).
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yt – Multi-code Toolkit for Analyzing and Visualizing Volumetric Data
yt is an open-source Python package for analyzing and visualizing volumetric data. yt focuses on driving physically-meaningful inquiry.
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AWS Data Wrangler – extends the power of Pandas library
AWS Data Wrangler extends the power of Pandas library to AWS connecting DataFrames and AWS data related services.
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Canto – Atom/RSS feed reader
Canto is an Atom/RSS feed reader for the console that is meant to be quick, concise, and colorful. It’s free and open source software.
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