Top 15 python libraries for data science – Artofit

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Top 15 Python Libraries for Data Science

In this article we wanted to outline some of the most useful Python libraries for data scientists and engineers based on our experience.
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Why Python is Slow: Looking Under the Hood | Pythonic Perambulations

Big Data+ Python+ ML
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GitHub - donnemartin/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

IT, Web and so on
Building Python Data Science Container using Docker

Python
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GitHub - koslab/ansible-pydatalab: Ansible playbook for creating a python based datalab

Big Data+ Python+ ML
GitHub - datasciencemasters/go: The Open Source Data Science Masters

Software CMR
4 Unique Methods to Optimize your Python Code for Data Science

Software Development etc.
Data Science in Trading: Why it Matters and How to Execute

Coding
UC Berkeley Data 8

Computer Science
18 Useful Mobile Apps for Data Scientist / Data Analysts

Data science
Complex Network Analysis in Python

Worklife
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Mining Twitter Data with Python (Part 1: Collecting data)

Data Science