awesome-python-learning
Python Learning Library
https://github.com/skupriienko/awesome-python-learning
Last synced: 14 days ago
JSON representation
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**Programming (learning)**
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**Developer\'s Tools**
- [Welcome to SymPy's documentation! --- SymPy 1.5.1 documentation
- [Which movie should I watch? - Nishant Sahoo - Medium
- [Wolfram Client Library for Python --- Wolfram Client Library for Python 1.1.0 documentation
- [Wolfram\|Alpha: Computational Intelligence
- [Yii PHP Framework
- [Zsailer/pandas\_flavor: The easy way to write your own flavor of Pandas
- [Введение в потоки в Python - Еще один блог веб разработчика
- [Введение в создание веб-приложений на Python
- [Вступ · Django Girls Tutorial
- [Глава 1: Создание первого приложения · Django в примерах
- [Данные важнее, чем модели. Как выглядят эффективные процессы в Data Science \| DOU
- [Искусственная нейронная сеть с нуля на Python c библиотекой NumPy
- [Как написать цепляющую вакансию на ДОУ \| DOU
- [Как оформить профиль на GitHub так, чтобы он работал при поиске работы \| DOU
- [Как получить 100/100 в Google Page Speed Test Tool? --- SEO компания UAWEB
- [Как установить Django, Nginx и Gunicorn на виртуальный сервер
- [Краткое руководство по Dash --- Python веб-фреймворк для создания дэшбордов. Installation + Dash Layout / Хабр
- [Курс «Hacking PostgreSQL» : Компания Postgres Professional
- [Лучшие датасеты для машинного обучения и анализа данных
- [Многопоточность в Python
- [Многопоточность в Python. Библиотеки threading и multiprocessing.
- [Многопоточность на примерах - модуль threading
- [Настраиваем Django + virtualenv + nginx + gunicorn + PostgreSQL + memcached + letsencrypt на Ubuntu 16.04 \| Python 3 для начинающих и чайников
- [Настройка Django с Postgres, Nginx и Gunicorn в Ubuntu 18.04 \| DigitalOcean
- [Настройка веб-сервера для Django с nginx и uWSGI - Как стать программистом
- [Обработка естественного языка: с чего начать и что изучать дальше
- [Объектно-ориентированное Программирование в Python
- [Описания паттернов проектирования. Паттерны проектирования. Шаблоны проектирования на Design pattern ru
- [Перші кроки в NLP: розглядаємо Python-бібліотеку TensorFlow та нейронні мережі в реальному завданні \| DOU
- [Почему CSS Grid лучше, чем фреймворк Bootstrap?
- [Почему Python хорош для Data Science и разработки приложений
- [Предсказываем будущее с помощью библиотеки Facebook Prophet / Блог компании Open Data Science / Хабр
- [Примеры использования Python-библиотеки NumPy \| Записки программиста
- [Скринкаст по Git
- [Создаем простой калькулятор в PyQt5
- [Создание графического интерфейса на Python 3 с Tkinter \~ PythonRu
- [Учимся писать многопоточные и многопроцессные приложения на Python / Хабр
- [Фичи Django ORM, о которых вы не знали
- [Что такое NGINX. NGINX простыми словами
- [facebookresearch/visdom: A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
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**Games for Education**
- [10 мобильных приложений, которые научат вас программировать
- [12 бесплатных ресурсов для обучения программированию в игровой форме
- [House Prices: Advanced Regression Techniques \| Kaggle
- [Learn Git Branching
- [Play CodeCombat Levels - Learn Python, JavaScript, and HTML \| CodeCombat
- [The Python Challenge
- [Titanic: Machine Learning from Disaster \| Kaggle
- [10 мобильных приложений, которые научат вас программировать
- [12 бесплатных ресурсов для обучения программированию в игровой форме
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**IT-events**
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**MOOC and courses**
- [\[UNИX\
- [11.1 - Regular Expressions - Мичиганский университет \| Coursera
- [200+ SQL Interview Questions and Answers for Developers \| Udemy
- [6.006: Introduction to Algorithms - Massachusetts Institute of Technology
- [Advanced Operating Systems
- [AI For Everyone --- главная \| Coursera
- [Algorithmic Toolbox \| Coursera
- [Amazon Web Services Sign-In
- [An Introduction to Interactive Programming in Python (Part 1) - Rice University \| Coursera
- [An Introduction to Interactive Programming in Python (Part 1) --- главная \| Coursera
- [AP®︎ Computer Science Principles (AP®︎ CSP) \| Khan Academy
- [App Maker Academy \| LEARN
- [Applied Machine Learning in Python --- главная \| Coursera
- [Applied Machine Learning in Python \| Coursera
- [Applied Plotting, Charting & Data Representation in Python \| Coursera
- [Applied Plotting, Charting & Data Representation in Python \| Coursera
- [Applied Social Network Analysis in Python \| Coursera
- [Applied Text Mining in Python \| Coursera
- [Applied Text Mining in Python \| Coursera
- [Artificial Intelligence for Robotics \| Udacity
- [Basics of Software Architecture & Design Patterns in Java \| Udemy
- [Become a Python Developer
- [Become a Solution Architect: Architecture Course \| Udemy
- [Big Data Analytics in Healthcare
- [Bootstrap 4 Tutorial - Learn Bootstrap For Free \| Scrimba
- [Break Away: Programming And Coding Interviews \| Udemy
- [Caesar - CS50x
- [Clean Code \| LEARN
- [Client-Server Communication
- [Code Basics: основы программирования
- [Codecademy
- [Coding for Kids \| Tynker
- [Coding Interview Bootcamp Algorithms, Data Structures Course \| Udemy
- [Command Line Essentials: Git Bash for Windows \| Udemy
- [Computability, Complexity & Algorithms
- [Computer programming \| Computing \| Khan Academy
- [Computer science \| Computing \| Khan Academy
- [Continuous Integration with Jenkins \| LEARN
- [Convolutional Neural Networks \| Coursera
- [Course \| 15.071x \| edX
- [Course \| CS1301xII \| edX
- [Course overview
- [Courses \| LEARN
- [Crash Course on Python --- главная \| Coursera
- [CS 436: Distributed Computer Systems - Lecture 1 - YouTube
- [Dashboard \| Khan Academy
- [Data Analysis and Visualization
- [Data Analysis Learning Path \| Springboard
- [Data Science A-Z™: Real-Life Data Science Exercises Included \| Udemy
- [Data Science Interview Prep
- [Data Science Office Hours - YouTube
- [Data Science with R \| Pluralsight
- [Data Scientist Path: Interactive Python, SQL \| Dataquest
- [Data Structure - Part I \| Udemy
- [Data Structures and Performance \| Coursera
- [Data Structures Fundamentals
- [Data Wrangling with MongoDB
- [DataCamp
- [DBA1 : Компания Postgres Professional
- [DBA2 : Компания Postgres Professional
- [Deep learning на пальцах!
- [Design of Computer Programs
- [Designing RESTful APIs
- [Developing AI Applications on Azure --- главная \| Coursera
- [Differential Equations in Action
- [Divide and Conquer, Sorting and Searching, and Randomized Algorithms \| Coursera
- [DJANGO CHANNELS 2 Tutorial (V2) - Real Time - WebSockets - Async - YouTube
- [DZone: Programming & DevOps news, tutorials & tools
- [Easy to Advanced Data Structures \| Udemy
- [Easy to Advanced Data Structures \| Udemy
- [Exercise files
- [Exercises on the Python Track \| Exercism
- [Explore - LeetCode
- [Free Clean Architecture Course: Patterns, Practices, and Principles for Beginners \| Pluralsight
- [Free Software Architect Course: Developer to Architect \| Pluralsight
- [Free SOLID Course: Principles of Object Oriented Design \| Pluralsight
- [Front Matter --- Alembic 1.4.2 documentation
- [Front-End Web UI Frameworks and Tools: Bootstrap 4 --- главная \| Coursera
- [Full Stack Foundations
- [Git Started with GitHub \| Udemy
- [Graph Search, Shortest Paths, and Data Structures --- главная \| Coursera
- [Graph Search, Shortest Paths, and Data Structures \| Coursera
- [Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming \| Coursera
- [Grok Learning
- [Grokking the System Design Interview - Learn Interactively
- [Harvard CS109 Data Science Course, Resources Free and Online
- [High Performance Computer Architecture
- [High Performance Computing
- [HTTP & Web Servers
- [https://scratch.mit.edu/projects/374672500/editor
- [Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization \| Coursera
- [Inferential Statistical Analysis with Python --- главная \| Coursera
- [Input and output -- Intro to Interviewing -- Grasshopper
- [Intro to Algorithms \| Udacity
- [Intro to Data Analysis \| Udacity
- [Intro to Data Science
- [Intro to Data Structures and Algorithms
- [Intro to Deep Learning with PyTorch
- [Intro to DevOps
- [Intro To Dynamic Programming - Coding Interview Preparation \| Udemy
- [Intro To Dynamic Programming - Coding Interview Preparation \| Udemy
- [Intro to Flask Series - YouTube
- [Intro to Hadoop and MapReduce
- [Python Tutorial for Beginners
- [Intro to Inferential Statistics
- [Intro to Progressive Web Apps
- [Intro to Relational Databases
- [Intro to Theoretical Computer Science
- [Introduction to Computational Thinking and Data Science \| edX
- [Introduction to Computer Vision
- [Introduction to Data Science in Python \| Coursera
- [Introduction to Data Science in Python \| Coursera
- [Introduction to Dynamical Systems and Chaos
- [Introduction to GraphQL \| GraphQL
- [Introduction to JavaScript \| Codecademy
- [Introduction to Machine Learning - Online Course \| DataCamp
- [Introduction to Machine Learning Course \| Udacity
- [Introduction to Operating Systems
- [Introduction to Operating Systems - Udacity
- [Introduction to Python Programming \| Udacity
- [Introduction To Python Programming \| Udemy
- [Introduction to Scripting in Python \| Coursera
- [IT Курсы программирования онлайн - обучение программированию, видео уроки \| ITVDN
- [Kaggle Mercedes и кросс-валидация / Блог компании Open Data Science / Хабр
- [Katacoda - Interactive Learning Platform for Software Engineers
- [Khan Academy \| Free Online Courses, Lessons & Practice
- [Knowledge-Based AI: Cognitive Systems
- [Learn \| freeCodeCamp.org
- [Learn CSS Animations
- [Learn Data Analysis using Pandas and Python (Module 2/3) \| Udemy
- [Learn Data Structures and Algorithms: Ace the Coding Interview \| Udemy
- [Learn Data Visualization Tutorials \| Kaggle
- [Learn Git Version Control using Interactive Browser-Based Labs \| Katacoda
- [Learn How to Code \| Codecademy
- [Learn Intermediate Machine Learning Tutorials \| Kaggle
- [Learn Intro to Machine Learning Tutorials \| Kaggle
- [Learn Kubernetes using Interactive Browser-Based Labs \| Katacoda
- [Learn Pandas Tutorials \| Kaggle
- [Learn Python - Full Course for Beginners \[Tutorial\
- [Learn Python 3.6 for Total Beginners \| Udemy
- [Learn Python for Data Science, Structures, Algorithms, Interviews \| Udemy
- [Learn Python for Data Structures, Algorithms & Interviews \| Udemy
- [Learn Python: Build a Virtual Assistant \| Udemy
- [Learn SQL \| Codecademy
- [Learn to Code with Interactive Tutorials \| Scrimba
- [Learn to Program: Crafting Quality Code --- главная \| Coursera
- [Learn to Program: The Fundamentals --- главная \| Coursera
- [Lecture 1: Administrivia; Introduction; Analysis of Algorithms, Insertion Sort, Mergesort \| Video Lectures \| Introduction to Algorithms (SMA 5503) \| Electrical Engineering and Computer Science \| MIT OpenCourseWare
- [Linear Algebra Refresher Course
- [Livestreams \| Codecademy
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python
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machine-learning
4
awesome
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data-science
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awesome-list
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deep-learning
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wsgi
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pallets
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http
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xai
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scikit-learn
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interpretml
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interpretable-ml
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interpretable-machine-learning
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interpretable-ai
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interpretability
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iml
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gradient-boosting
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explainable-ml
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explainable-ai
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explainability
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differential-privacy
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keras
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