pycrumbs
Bits and bytes of Python from the Internet
https://github.com/kirang89/pycrumbs
Last synced: 14 days ago
JSON representation
-
Android
-
Beginner's Delight
- Beginner's guide to Python
- Learn Python the hard way
- Learn Python
- Google's Python class
- Python tracks at Codecademy
- Python for Beginners
- Intro to Python For Data Science
- Best way to learn python
- Python Tips, tools and resources
- Beginner projects for a python newbie
- Python Practice book
- Python tools and software
- Facts and myths about Python names and values
- *args and **kwargs in python explained
- In Python, it’s all about the attributes
- Common newbie mistakes in Python- Part 1
- Common newbie mistakes in Python- Part 2
- PySchools
- Some cool Python Tricks
- if x and if x is not None
- Declaring dependencies in Python
- Storing and Loading Data with JSON - Serialization/deserialization
- A Guide to Python's Magic Methods
- Efficient String Concatenation in Python
- Be Pythonic: `__init__.py`
- Building an open-source Python application the right way
- Python progression path - From apprentice to guru
- Tutorialspoint python tutorial
- Python Importing
- Python's super() considered super!
- No Naked Excepts
- The Python IAQ: Infrequently Answered Questions
- Python's objects and classes — a visual guide
- Snakify - a tutorial with exercises and a visual debugger
- Learn programming with curated Python projects - DevProjects
- *args and **kwargs in python explained
- Storing and Loading Data with JSON - Serialization/deserialization
- Learn X in Y minutes - Python
- Facts and myths about Python names and values
- Python Koans: Learn Python through TDD
- In Python, it’s all about the attributes
- Some cool Python Tricks
- Tutorialspoint python tutorial
- Supercharge Your Python Developers
- The Python IAQ: Infrequently Answered Questions
- Python's objects and classes — a visual guide
- The Hitchhiker's guide to Python
- Best way to learn python
- PySchools
- Python progression path - From apprentice to guru
- PySchools
-
BigData
-
Books
-
Free
- Free Programming Books - Python
- Python Programming - Free Computer Books
- Invent with Python
- Think Python
- Byte of Python
- Snake Wrangling for Kids
- Data Structures and Algorithms with Object-Oriented Design Patterns in Python
- Python programming on wikibooks
- Dive Into Python 3
- Programming Computer Vision with Python
- Python for you and me
- Program Arcade Games With Python And Pygame
- Interactive python-problem solving
- How to make mistakes in Python
- Think Stats: Exploratory Data Analysis in Python
- Dive Into Python 3
- Programming Computer Vision with Python
- Program Arcade Games With Python And Pygame
- Python Programming - Free Computer Books
- Think Python
- Snake Wrangling for Kids
- Snake Wrangling for Kids
- Invent with Python
- Python programming on wikibooks
- Python for you and me
- Think Stats: Exploratory Data Analysis in Python
-
Paid
-
-
Concurrency and Distributed Systems
-
Conferences and events
-
Context Managers
-
Contributing to Python Development
-
Ansible
-
-
Coroutines
-
Curated Python resources from other websites
-
Data Analysis
-
Pandas
-
SQLAlchemy
- Document Clustering with Python
- Data Science with Python & R: Data Frames
- Data Science with Python & R: Exploratory Data Analysis
- Data Science with Python & R: Sentiment Classification Using Linear Methods
- Machine Learning Algorithms with Python
- Document Clustering with Python
- Scientific Python Cheatsheet
- Machine Learning Algorithms with Python
- Python Basics For Data Science
-
-
Databases
-
Data Mining
-
SQLAlchemy
-
-
Data Visualization
-
Debugging
-
Decorators
- Understanding Python Decorators in 12 easy steps
- Common uses of Python decorators - Quora
- Common uses of Python decorators - Stack Overflow
- Python Decorators
- Decorators I: Introduction to Python Decorators
- The dark side of decorators
- Thinking out aloud: Python decorators
- Using Python decorators for registering callbacks
- Meta-matters: Using decorators for better Python programming
- How can I make a chain of function decorators in Python?
- The Python Decorator Library
- Improve Your Python: Decorators Explained
- Painless Decorators
- Advanced Uses of Python Decorators
- Common uses of Python decorators - Quora
- The dark side of decorators
- Thinking out aloud: Python decorators
- Using Python decorators for registering callbacks
- Improve Your Python: Decorators Explained
- Painless Decorators
- Common uses of Python decorators - Stack Overflow
- How can I make a chain of function decorators in Python?
-
Deep Learning
-
Deployment
-
Design Patterns
-
Dictionary
-
Discussions
-
Paid
- What's your favorite programming language?
- What is your primary programming language?
- StackOverflow - Python beyond the basics
- StackOverflow - Zen of Python
- StackOverflow - Hidden Features of Python
- StackOverflow - Zen of Python
- StackOverflow - Python beyond the basics
- StackOverflow - Hidden Features of Python
-
-
Documentation
-
Sphinx
-
-
Editors and IDE's for Python programming
Programming Languages
Categories
Web
82
Beginner's Delight
51
Miscellaneous
49
IPython Notebooks
33
Books
29
Decorators
22
Videos
17
Data Analysis
15
Editors and IDE's for Python programming
14
Packaging
13
Testing
12
Why Python?
12
Python 2 vs 3
12
Environments and Environment Management
11
GUI Programming
11
Documentation
10
Unicode
9
Discussions
8
Databases
7
Style Guide and Idioms
6
Design Patterns
6
Curated Python resources from other websites
6
Warts and Gotchas
6
Online Courses and Challenges
6
Deployment
5
Generators
5
Resources for Women
5
Concurrency and Distributed Systems
5
Data Visualization
5
Metaclasses
5
Dictionary
4
Image Processing
4
Deep Learning
4
Conferences and events
3
Debugging
3
Iterators
3
Mobile Development
3
BigData
2
Google Glass
2
Profiling
2
Newsletters
2
Context Managers
2
Functional Programming
2
WSGI
2
Yield
2
Coroutines
2
Podcasts
2
Networking
1
Exceptions
1
Import
1
Game Development
1
Data Mining
1
Contributing to Python Development
1
Android
1
Sub Categories
Keywords
python
4
machine-learning
1
keras
1
kaggle
1
hadoop
1
deep-learning
1
data-science
1
caffe
1
big-data
1
aws
1
programming
1
interview-questions
1
interview-practice
1
interview
1
development
1
data-structure
1
competitive-programming
1
coding
1
algorithm
1
virtualenvwrapper
1
virtualenv
1
koans
1
tkinter
1
tk
1
json
1
gui
1
flask-resources
1
flask
1
awesome
1
theano
1
tensorflow
1
spark
1
scipy
1
scikit-learn
1
pandas
1
numpy
1
matplotlib
1
mapreduce
1