Linking pages
- GitHub - jnv/lists: The definitive list of lists (of lists) curated on GitHub and elsewhere https://github.com/jnv/lists 24 comments
- GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
- GitHub - StijnMiroslav/top-starred-devs-and-repos-to-follow: The Top-Starred Python GitHub Devs, Orgs, and Repos to Follow (All-Time and Trending) https://github.com/StijnMiroslav/top-devs-and-repos-to-follow 0 comments
Linked pages
- regex101: build, test, and debug regex https://regex101.com/ 1616 comments
- RegExr: Learn, Build, & Test RegEx https://regexr.com/ 877 comments
- Sentiment Analysis Guide https://monkeylearn.com/sentiment-analysis/ 446 comments
- functional-programming-jargon/readme.md at master · hemanth/functional-programming-jargon · GitHub https://github.com/hemanth/functional-programming-jargon 420 comments
- A Neural Network in 11 lines of Python (Part 1) - i am trask https://iamtrask.github.io/2015/07/12/basic-python-network/ 320 comments
- iterator - What does the "yield" keyword do in Python? - Stack Overflow https://stackoverflow.com/questions/231767/what-does-the-yield-keyword-do 90 comments
- TimeComplexity - Python Wiki http://wiki.python.org/moin/TimeComplexity 68 comments
- GitHub - amontalenti/elements-of-python-style: Goes beyond PEP8 to discuss what makes Python code feel great. A Strunk & White for Python. https://github.com/amontalenti/elements-of-python-style 66 comments
- How to Create NBA Shot Charts in Python - Savvas Tjortjoglou http://savvastjortjoglou.com/nba-shot-sharts.html 64 comments
- Learn 90% of Python in 90 Minutes http://www.slideshare.net/MattHarrison4/learn-90 59 comments
- http://nipunbatra.github.io/2016/01/pythor/ 55 comments
- An Introduction to Scientific Python – Pandas http://www.datadependence.com/2016/05/scientific-python-pandas/ 42 comments
- Pythex: a Python regular expression editor http://pythex.org/ 39 comments
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources https://github.com/vinta/awesome-python 38 comments
- GitHub - donnemartin/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://github.com/donnemartin/data-science-ipython-notebooks 34 comments
- NLTK Book http://www.nltk.org/book/ 33 comments
- Python Scripts as a Replacement for Bash Utility Scripts | Linux Journal http://www.linuxjournal.com/content/python-scripts-replacement-bash-utility-scripts 25 comments
- OpenML https://www.openml.org/ 22 comments
- PyBrain http://pybrain.org/ 20 comments
- GitHub - EpistasisLab/tpot: A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. https://github.com/rhiever/tpot 19 comments
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