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Data Science basic packages (install using pip)
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| pandas # (data analysis) | |
| NumPy #(multi-dimensional arrays) | |
| SciPy # (algorithms to use with numpy) | |
| matplotlib # (data visualization) | |
| h5py # (store & manipulate data) | |
| PyTables # (managing HDF5 datasets) | |
| Jupyter # (research collaboration) | |
| IPython # (powerful shell) | |
| hdfs # (C/C++ wrapper for Hadoop) | |
| pymongo # (MongoDB driver) | |
| SQLAlchemy #(Python SQL Toolkit) | |
| redis # (Redis access libraries) | |
| pyMySQL # (MySQL connector) | |
| scikit-learn # (machine learning algorithms) | |
| TensorFlow # (deep learning with neural networks)* | |
| theano # (deep learning with neural networks) | |
| keras # (high-level neural networks API) | |
| bokeh # (data visualization) | |
| seaborn # (data visualization) | |
| dask # (data engineering) | |
| airflow # (data engineering) | |
| luigi # (data engineering) | |
| elasticsearch # (data search engine) |
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