python.md

Python, IPython, Scikit-learn etc.

• 10 библиотек для визуализации данных на Python

• @py_digest

• @ru_python

• awesome-python – A curated list of awesome Python frameworks, libraries, software and resources

  • website of the awesome-python repository

• 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

• Dive into Machine Learning with Python Jupyter notebook and scikit-learn

  • Dive into Machine Learning (github repo)

• 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

• mlpy – Python module for Machine Learning built on top of NumPy/Scipy and the GNU Scientific Libraries

• Notebooks and code for the book "Introduction to Machine Learning with Python"

• The python-machine-learning-book code repository and info resource

• 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

• 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

  • WinPython (github repo)

• Курс по основам Python, алгоритмам и структурам данных

• Программирование на Python (МФТИ/MIPT)

• Семинары по программированию на Python для 3 курса Школы Лингвистики НИУ ВШЭ

• The Python graph gallery: Visualizing data - with Python

• IPython

  • algorithms_in_ipython_notebooks – A repository with IPython notebooks of algorithms implemented in Python
  • 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.
  • Очень большой список интересных питоновских ноутбуков (от туториалов на три минуты, до целых книг (!) в таком формате)

• Scipy

  • Scipy lecture notes — tutorials on the scientific Python ecosystem

• Numpy

  • 100 Numpy exercises

• Sklearn

  • Введение в Sklearn

• Pandas

  • Data Munging in Python (using Pandas)
  • pandas-exercises

• Matplotlib

  • Таблица названий цветов (png) в Python
  • Туториал по Matplotlib

Code editors

• 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