Data Analysis

numpywren Scientific Computing with Infinite Ram What is this? numpywren is scientific computing framework built on top of the serverless execution fr

tidytext: Text mining using tidy tools

Efficient Python Tricks and Tools for Data Scientists

The Economist's excess deaths model This repository contains the replication code and data for The Economist's excess deaths model, used to estimate t

Framework for creating efficient data processing pipelines.

numberwang will convert floating point numbers (and integers) to their word representations, and vice versa.

Set of Mindmaps providing a detailed overview of the different #Windows auditing capacities and event log files.

PreallocationTools.jl is a set of tools for helping build non-allocating pre-cached functions for high-performance computing in Julia.

PostHog is an open-source product analytics suite, built for developers. Automate the collection of every event on your website or app, with no need to send data to 3rd parties.

Mapillary Street-level Sequences (MSLS) is a large-scale long-term place recognition dataset that contains 1.6M street-level images.

DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in clustering.

This is my first Data Engineering project, it extracts data from the user's recently played tracks using Spotify's API, transforms data and then loads it into Postgresql using SQLAlchemy engine. Data is shown as a Spark Dataframe

Official data on the COVID-19 epidemic in Malaysia. Powered by CPRC, CPRC Hospital System, MKAK, and MySejahtera.

Implementation of Stata's tabulate command in Pandas for extremely easy to type one-way and two-way tabulations.

Educational project on how to build an ETL (Extract, Transform, Load) data pipeline, orchestrated with Airflow.

To provide 100 datatable exercises over different sections structured as a course or tutorials to teach and learn for beginners, intermediates as well as experts.

Implementation in R of the Black Scholes formula and some greeks.

Official data on Malaysia's National Covid-​19 Immunisation Programme (PICK). Powered by MySejahtera.

Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python inter

MODeflattener deobfuscates control flow flattened functions obfuscated by OLLVM using Miasm.

PyScaffold extension tailored for Data Science projects. This extension is inspired by cookiecutter-data-science and enhanced in many ways.

low-code business intelligence tool and a data science workflow, open-source Looker alternative

ESCAPE data science summer school 2021

The goal of the gluestick package is to provide a home for a single, simple function (also named gluestick).

Delta Sharing is an open protocol for secure real-time exchange of large datasets, which enables organizations to share data in real time regardless of which computing platforms they use.

The Tidymodels Extension for Time Series Boosting Models

A Simple modular tool to fetch and parse data related to the stock market.

Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

Loading Data with a single command, the library automatically formats & loads files into a DataFrame. Profiling the Data, the library identifies the schema, statistics, entities and more. Data Profiles can then be used in downstre

Flenser is a simple, minimal, automated exploratory data analysis tool. It runs a set of simple tests against each column within a dataset, and outputs a HTML file noting which tests trigger per column, alongside relevant outputs.

Legate NumPy is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API on top of the Legion runtime. Using Legate NumPy you do things like run the final example of the Python CFD

python tools for Finance with the functionality of indicator calculation, business day calculation and so on.