Siddhartha Pathak's repositories
dash-sample-apps
Open-source demos hosted on Dash Gallery
csv2html
A script to convert a CSV file to HTML file with some options
Literate
A literate programming tool for any language
timeseries-hammer
Meant to be a central repo for generic ts toying functions
osmnx-examples
Examples demonstrating the usage of OSMnx
awesome-dash
A curated list of awesome Dash (plotly) resources
econ-notebooks
Non-work econ related twaddle
dlang-scratchpad
Repo for all code written in learning D - mostly random exploration, replicating functions and scripts written in Python etc
sliced-bread
Personal dashboard for tracking specific sectors
bokeh
Interactive Web Plotting for Python
prehistoric-prices
Archive of collected historical price data on commodities, equities, bonds, inflation etc. ALL DATA FROM OPEN SOURCE REPOS
os-tutorial
How to create an OS from scratch
stats-to-pandas
Download data from statistical agencies to pandas dataframes.
Regex101
This repository is currently only used for issue tracking for www.regex101.com
pyBEA
Python package for downloading data from the Bureau of Economic Analysis (BEA) data API.
Tutorials
Ipython notebooks for math and finance tutorials
electron-stock-market
This is a stock market application developed using Electron
ARIMA
Simple python example on how to use ARIMA models to analyze and predict time series.
sidpathak92.github.io
Repository for personal website
D_Libraries_Registry
A list of D language libraries for every task
Python_Tutorials
Python tutorials in both Jupyter Notebook and youtube format.
population-density-India
The goal of this project is to calculate population weighted mean of geospatial coordinates of each Indian state and compare data from different decennial censuses.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
FX-1-Minute-Data
HISTDATA - Full Dataset composed of 68 FX trading pairs / Simple API to retrieve 1 Minute data Historical FX Prices.
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.
federal-treasury-api
The scraper, parser, and database creation scripts for Financial Management Service daily U.S. Treasury statements.
ShinyApps
Documenting (ALL) attempts at building Shiny apps on R.
hello-world
Random repository
awesome-d
A curated list of awesome D documents, frameworks, libraries and software. Inspired by awesome-python.