Всё для изучения Python: 181 бесплатный материал + бонус

В данном списке вы сможете найти материалы для изучения языка Python с целью применения его в анализе данных и не только. Последний раздел — это бонус: если этой подборки вам оказалось мало, там есть ещё 4!

Кстати, у нас есть подборка с более подробными аннотациями к материалам — возможно, они помогут вам точнее подобрать ресурс для себя.

Оглавление

• Язык Python
• Наука о данных и Python
• Библиотека Pandas
• Машинное обучение
• Scikit Learn
• Линейная регрессия
• Логистическая регрессия
• k ближайших соседей
• Нейронные сети
• Деревья решений
• Случайный лес
• Метод опорных векторов
• NLP / Text Mining
• Анализ тональности текста
• Pickle
• AutoML
• Регулярные выражения
• Shell-скрипты
• Больше подборок богу подборок

Язык Python

• Awesome Python
• На русском Материалы для изучения Python
• Must-watch videos about Python
• Видео Самые интересные доклады с PyCon 2016
• На русском Короткие ответы на популярные вопросы о Python
• Jargon from the functional programming world in simple terms!
• Dive Into Python
• Learn Python Wiki on Reddit
• Highest Voted Python Questions
• Python Basic Concepts
• Quick Reference to Python
• The Elements of Python Style
• What does the yield keyword do in Python?
• Parsing values from a JSON file in Python
• Python Quora FAQs
• time-complexity of various operations — list/dict — in current CPython
• Python Scripting Tutorial
• Can I use Python as a bash replacement?

Наука о данных и Python

• Data Science IPython Notebooks
• Awesome Python – Data Analysis
• Statistics and Data Science
• An Introduction to Scientific Python (and a Bit of the Maths Behind It) – NumPy
• Data Analysis and IPython Notebooks
• Python for Data Science: Basic Concepts
• Pycon India 2015 Notes
• 5 important Python Data Science advancements of 2015
• Data Exploration with Numpy cheat sheet
• Querying Craiglist with Python
• PDF An introduction to Numpy and Scipy
• Create NBA Shot Charts
• PythoR- Python meets R
• How do I learn data analysis with Python?
• What are some interesting things to do with Python?
• Which is better for data analysis: R or Python?
• Web scraping in Python
• The Guide to Learning Python for Data Science
• Интерактивное обучение Free Interactive Course: Intro to Python for Data Science
• Python For Data Science — A Cheat Sheet For Beginners
• Top voted Python data science questions
• Awesome Python — Data Visualization
• Awesome Python — Map Reduce

Библиотека Pandas

• Intro to pandas data structures
• An Introduction to Scientific Python – Pandas
• 10 minutes to Pandas
• Useful Pandas Snippets
• Timeseries analysis using Pandas
• Pandas Exercises — Practice your Pandas skills
• Grouping in Pandas
• “Large data” work flows using pandas
• Видео Easier data analysis with pandas
• Быстрые операции в Pandas DataFrame:ВидеоRenaming Columns in Pandas How do I rename columns in a pandas DataFrame?Deleting Columns from pandas DataFrame How do I remove columns from a pandas DataFrame?Adding new Column to existing DataFrameAdd one Row in a pandas.DataFrameChanging the order of DataFrame ColumnsChanging data type of Columns How do I change the data type of a pandas Series?Getting a list of the column headers from a DataFrameConverting list of dictionaries to DataframeGetting row count of pandas DataFrameMost efficient way to loop through DataFramesDeleting DataFrame row based on column valueDropping a list of rows from Pandas DataFrame Sorting a DataFrame or a single column Filtering DataFrame rows by column value Filtering DataFrame rows using multiple criteria Dropping all non-numeric columns from a DataFrame Counting and removing missing values Selecting multiple rows and columns from a DataFrame Reducing the size of a DataFrame

Машинное обучение

• AI, ML Related List
• Data Normalization in Python
• Python Machine Learning Book
• Table of Contents and Code Notebooks
• Machine Learning with scikit learn
• Machine Learning Algorithms Cheatsheet
• How to compute precision, recall, accuracy and f1-score for the multiclass case with scikit learn?
• One Hot Encoding for Machine learning in Python
• Building a (semi) Autonomous Drone with Python
• Awesome Python — Machine Learning
• Awesome Python — Computer Vision

Scikit Learn

• scikit learn on Wikipedia
• Introduction to machine learning with scikit-learn
• A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library
• PyData Seattle 2015 Scikit-learn Tutorial, sklearn_scipy2013
• SKLEARN BENCHMARKS: A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets, Report results of sklearn benchmarks at openml.org
• How to get most informative features for scikit-learn classifiers?
• Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark
• Machine Learning with scikit learn tutorial
• Parallel and Large Scale Machine Learning with scikit-learn (митап)
• Saving classifier to disk in scikit-learn

Линейная регрессия

• Linear Regression in Python
• Linear Regression using Scikit Learn
• A friendly introduction to linear regression (using Python)
• Linear Regression Example in Python
• Regression analysis using Python StatsModels package
• Run an OLS regression with Pandas Data Frame

Логистическая регрессия

• Logistic Regression with scikit learn
• Logistic Regression in Python
• Implementing the softmax function in Python
• What is the inverse of regularization strength in Logistic Regression? How should it affect my code?
• Example of logistic regression in Python using scikit-learn
• TUTORIAL ON LOGISTIC REGRESSION AND OPTIMIZATION IN PYTHON
• Using Logistic Regression in Python for Data Science

k ближайших соседей

• A good tutorial on implementing K Nearest Neighbors using scikit learn
• Is it possible to specify your own distance function using scikit-learn K-Means Clustering?
• Tutorial To Implement k-Nearest Neighbors in Python From Scratch
• Implementing your own k-nearest neighbour algorithm using Python
• knn Python implementation on StackOverflow
• kNN with big sparse matrices in Python
• Sklearn kNN usage with a user defined metric

Нейронные сети

• Implementing a Neural Network from scratch in Python (код)
• A Neural Network in 11 lines of Python
• Speeding up your Neural Network with Theano and the gpu (код)
• What is the best neural network library for Python?
• Recurrent Neural Net Tutorial in Python Part 1, Part 2 (код)
• PyBrain: modular Machine Learning Library for Python

Деревья решений

• How to extract the decision rules from scikit-learn decision-tree?
• How do I find which attributes my tree splits on, when using scikit-learn?
• Quora: What is a good Python library for decision trees?, StackOverflow
• Building Decision Trees in Python
• Pure Python Decision Trees
• Building a decision tree from scratch in Python – a beginner’s tutorial
• Using Python to Build and Use a Simple Decision Tree Classifier
• Decision trees in python with scikit-learn and pandas
• Code for simple decision tree in Python
• Lesson notebook: Regression and Classification Trees

Случайный лес

• Getting Started with Random Forests: Titanic Competition on Kaggle, Python sample code
• RandomForestClassifier vs ExtraTreesClassifier in scikit learn
• Powerful Guide to learn Random Forest
• How are Feature Importances in RandomForestClassifier determined?
• Random forest interpretation with scikit-learn
• Random Forests in Python Tutorial
• Unbalanced classification using RandomForestClassifier in sklearn
• Random Forest with categorical features in sklearn
• How to output RandomForest Classifier from python?
• Lesson notebook: Ensembling, Bagging, and Random Forests

Метод опорных векторов

• Fastest SVM implementation usable in Python
• An example using python bindings for SVM library, LIBSVM
• What is the best SVM library usable from Python?
• How does sklearn.svm.svc’s function predict_proba() work internally?
• Support vector machine in Python using libsvm example of features
• Linear SVC Machine learning SVM example with Python
• Understanding Support Vector Machine algorithm from examples (along with code)

NLP / Text Mining

• NLP with Python OReilly Book, Python 3
• Awesome Python — NLP
• Awesome Python — Text Processing
• Text Analytics : Intro and Tokenization
• NLTK BOOK
• Elegant N-gram Generation in Python
• Computing N Grams using Python
• N-grams: Explanation + 2 applications
• NLP Tutorial with Python

Анализ тональности текста

• Twitter-Sentiment-Analysis
• Basic Sentiment Analysis with Python
• What is the best way to do Sentiment Analysis with Python?
• How to Calculate Twitter Sentiment Using AlchemyAPI with Python
• Second Try: Sentiment Analysis in Python
• Sentiment Analysis with Python NLTK Text Classification
• Sentiment Analysis with bag-of-words
• Sentiment Analysis with Naive Bayes

Pickle

• Python serialization — Why pickle?
• What is Pickle in python ?
• How to cPickle dump and load separate dictionaries to the same file?
• Understanding Pickling in Python

AutoML

• TPOT: A Python tool for automating data science, GitHub repo

Регулярные выражения

• RegExr
• Regex101
• Pythex
• How to use Regular Expressions (Regex) in Microsoft Excel both in-cell and loops
• Advanced Filters: Excel’s Amazing Alternative To Regex

Shell-скрипты

• Calling an external command in Python
• Running shell command from Python and capturing the output
• Can I use Python as a bash replacement?
• Python Scripts as a Replacement for Bash Utility Scripts
• Видео How to Write a Shell Script using Bash Shell in Ubuntu
• Embed bash in python
• PDF Bash2py: A Bash to Python Translator
• Beginners/BashScripting
• The Beginner’s Guide to Shell Scripting: The Basics
• Linux Shell Scripting Tutorial v1.05r3 A Beginner’s handbook

Больше подборок богу подборок

• pycrumbs — Bits and bytes of Python from the Internet
• python github projects — Collect and classify python projects on Github
• python reference — Useful functions, tutorials, and other Python-related things
• pythonidae — Curated decibans of scientific programming resources in Python