awesome-python-learning
Python Learning Library
https://github.com/skupriienko/awesome-python-learning
Last synced: 9 days ago
JSON representation
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**Programming (learning)**
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**Developer\'s Tools**
- [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.
- [10 Best CSS Frameworks For Frontend Developers in 2020 - GeeksforGeeks
- [10 лучших материалов для изучения Django
- [20 short tutorials all data scientists should read (and practice) - Data Science Central
- [Algorithms - Algorithmia
- [Are you still using Pandas for big data? - Towards Data Science
- [Azure Machine Learning SDK for Python - Azure Machine Learning Python \| Microsoft Docs
- [Better Code Hub
- [Big data sets available for free - Data Science Central
- [Build and deploy your first machine learning web app
- [Caffe \| Installation
- [CAL board - Agile board - Jira
- [CLI Setup - NativeScript Docs
- [Cloud Shell
- [Codecov
- [create-graphql-server --- instantly scaffold a GraphQL server
- [Dash Bootstrap Components
- [Dashboard : skromnitsky : PythonAnywhere
- [Dashboard · WakaTime
- [Data Science with Python: Intro to Data Visualization with Matplotlib
- [Django ORM. Добавим сахарку / Хабр
- [Django в примерах · GitBook (Legacy)
- [Django Руководство часть 11: Разворачивание сайта на сервере - Изучение веб-разработки \| MDN
- [Download All Free Textbooks from Springer using Python
- [Erotemic/ubelt: A Python utility belt containing simple tools, a stdlib like feel, and extra batteries. Hashing, Caching, Timing, Progress, and more made easy!
- [Exploring your data with just 1 line of Python - Towards Data Science
- [Getting started --- SciPy.org
- [Getting started with PyMC3 --- PyMC3 3.8 documentation
- [Polymer Project
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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
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Programming Languages
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Keywords
python
13
machine-learning
4
awesome
3
data-science
3
awesome-list
3
deep-learning
2
wsgi
1
werkzeug
1
pallets
1
http
1
xai
1
transparency
1
scikit-learn
1
interpretml
1
interpretable-ml
1
interpretable-machine-learning
1
interpretable-ai
1
interpretability
1
iml
1
gradient-boosting
1
explainable-ml
1
explainable-ai
1
explainability
1
differential-privacy
1
keras
1
jupyter
1
gui
1
discord
1
console
1
closember
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cli
1
streamlit
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developer-tools
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data-visualization
1
data-analysis
1
visualization
1
tabular-data
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pyarrow
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memory-mapped-file
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machinelearning
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hdf5
1
dataframe
1
bigdata
1
learn-to-code
1
javascript
1
java
1
docker
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clojure
1
c-sharp
1
c-plus-plus
1