siddharthbht's Stars
siffi26/CtCI-6th-Edition-cpp
Cracking the Coding Interview 6th Ed. C++ Solutions
googlecreativelab/teachable-machine-v1
Explore how machine learning works, live in the browser. No coding required.
GoogleCloudPlatform/tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
xionghc/Facial-Expression-Recognition
Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).
siddharthbht/JavaScript30
30 Day Vanilla JS Challenge
Bibeknam/programming-techniques
huiwang/cracking-the-coding-interview
Tests, Questions and Solutions from Cracking the Coding Interview
chillyistkult/Dining-Philosophers
Dining philosophers solution in C
lizadaly/brobot
realslimshanky/tweet-me
A bot to tweet articles from www.TheGeekyWay.com
gunthercox/ChatterBot
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
quandyfactory/dicttoxml
Simple library to convert a Python dictionary or other native data type into a valid XML string.
alex/what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
nucleic/cppy
A collection of C++ headers which make it easier to write Python C extension modules.
matomo-org/matomo
Empowering People Ethically with the leading open source alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. Liberating Web Analytics. Star us on Github? +1. And we love Pull Requests!
s-heisler/pycon2017-optimizing-pandas
Materials for PyCon 2017 presentation on optimizing Pandas code
satwikkansal/wtfpython
What the f*ck Python? 😱
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
python/cpython
The Python programming language
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media