FAQ-based Question Answering System

Tushare_MATLAB_FSDK

Tushare DATA for Matlab

CMAK is a tool for managing Apache Kafka clusters

A Python 3 Bitcoin blockchain parser

Data Apps & Dashboards for Python. No JavaScript Required.

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,…

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" mea…

Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individ…

REST API framework designed for human beings

Python Data Science Handbook: full text in Jupyter Notebooks

Extract data from a wide range of Internet sources into a pandas DataFrame.

nodejs port of tushare

NumPy interface with mixed backend execution

pyalgotrade tailored for Chinese stock market

Apache Superset is a Data Visualization and Data Exploration Platform

TuShare for Ruby

Framework for serverless Decentralized Applications using Ethereum, IPFS and other platforms

Used for testing all maner of Ethereum JSON-RPC interactions.

Collection of comprehensive TypeScript libraries for Interaction with the Ethereum JSON RPC API and utility functions.

⚠️ The Truffle Suite is being sunset. For information on ongoing support, migration options and FAQs, visit the Consensys blog. Thank you for all the support over the years.

Protocol Buffers - Google's data interchange format

NumPy and Pandas interface to Big Data

TuShare is a utility for crawling historical data of China stocks

Statistical data visualization in Python

A simple blog based on django1.9 and python3.4

Minimal sample application to start developing your web project immediately on Django framework.

A professional front-end template for building fast, robust, and adaptable web apps or sites.

Tools for working with pandas in your Django projects

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)