- 10 библиотек для визуализации данных на Python
- 100 Numpy exercises
- @py_digest
- @ru_python
- algorithms_in_ipython_notebooks – A repository with IPython notebooks of algorithms implemented in Python
- awesome-python – A curated list of awesome Python frameworks, libraries, software and resources
- awesome-python-books - Directory of Python books
- Code Like a Pythonista: Idiomatic Python
- Data Analysis Tutorials – Python Programming tutorials from beginner to advanced on a massive variety of topics. All video and text tutorials are free
- Data Science IPython Notebooks on Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
- Dive into Machine Learning with Python Jupyter notebook and scikit-learn
- Dive into Python
- Effective Python Book
- Google's Python Introduction course
- How to Think Like a Computer Scientist: Learning with Python, Interactive Edition
- Intermediate Python Book
- Intro to Python for Data Science – основы Python и немного про NumPy
- Learn X in Y Minutes: Python
- Notebooks and code for the book "Introduction to Machine Learning with Python"
- The python-machine-learning-book code repository and info resource
- pandas-exercises
- py_ml_utils – small utility modules to help with pandas, numpy and sklearn usage in other projects
- python_reference – Useful functions, tutorials, and other Python-related things
- Pythonpedia – энциклопедия ресурсов по программированию на Python
- Scipy lecture notes — tutorials on the scientific Python ecosystem
- tpot – A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming
- WinPython – дистрибутив питона и научных библиотек (+Jupyter, +Spyder) для Windows 7/8/10
- Введение в Sklearn
- Курс по основам Python, алгоритмам и структурам данных
- Таблица названий цветов (png) в Python
- Туториал по Matplotlib
- Очень большой список интересных питоновских ноутбуков (от туториалов на три минуты, до целых книг (!) в таком формате)
- Data Munging in Python (using Pandas)
- Семинары по программированию на Python для 3 курса Школы Лингвистики НИУ ВШЭ
- PyCharm от JetBrains - серьезная IDE для больших проектов
- Spyder – the Scientific PYthon Development EnviRonment. Spyder входит в Анаконду (просто введите
spyder
в командной строке) - Canopy — scientific and analytic Python deployment with integrated analysis environment (рекомендуют в курсе MITx)
- Rodeo — a data science IDE for Python
- Jupyter – open source, interactive data science and scientific computing across over 40 programming languages. The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text
- nbviewer – renders notebooks available on other websites
- Sublime Text 3
- PyCharm vs Sublime Text – a blog post comparing these two popular development tools and text editors
- PEP 0008 – Style Guide for Python Code