CharlesSantiago/httpie
CLI HTTP client; user-friendly cURL replacement featuring intuitive UI, JSON support, syntax highlighting, wget-like downloads, extensions, etc.
Repositories
CharlesSantiago/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
CharlesSantiago/requests
Python HTTP Requests for Humans™.
CharlesSantiago/python-guide
Python best practices guidebook, written for Humans.
CharlesSantiago/ibis
Productivity-centric Python big data framework for high performance at Hadoop-scale, with first-class integration with Impala. Co-founded by the creator of pandas
CharlesSantiago/click
Python composable command line utility
CharlesSantiago/flask
A microframework based on Werkzeug, Jinja2 and good intentions
CharlesSantiago/jinja2
The Jinja2 template engine
CharlesSantiago/werkzeug
A flexible WSGI implementation and toolkit
CharlesSantiago/D3py
a plottling library for python, based on D3
CharlesSantiago/cointrol
Bitcoin trading bot with a real-time dashboard for Bitstamp.
CharlesSantiago/cloudtunes
Web-based music player for the cloud :cloud: :notes:
CharlesSantiago/photogallery
Android Flickr photo gallery Gradle app integrated with Travis CI and the Android Testing Framework
CharlesSantiago/data-science-ipython-notebooks
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. https://bit.ly/data-notes
CharlesSantiago/dev-setup
Dev setup within hours, not days. Automated scripts/dotfiles and easy-to-understand instructions to set up common developer tools and apps. Also includes setup for Python data analysis, big data platforms Spark and Hadoop MapReduce, cloud services AWS and Heroku, JavaScript web development, common data stores, and hacker defaults for Mac OSX. https://bit.ly/git-dotfiles
CharlesSantiago/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
CharlesSantiago/scikit-learn
scikit-learn: machine learning in Python
CharlesSantiago/interactive-coding-challenges
Interactive, test-driven Python coding challenges (algorithms and data structures). https://bit.ly/git-code