crypto-candlesticks The goal behind this project is to facilitate downloading cryptocurrency candlestick data fast & simple. Currently only the Bitfinex exchange is supported with more to come in future releases. The command-line interface is built using Click, which is intuitive and will prompt you for the commands. Once the data is downloaded, it will be converted and stored in a .csv, .sqlite3 and .pickle file for convenient analysis. The data will include the Open, High, Low, Close of the candles […]

root The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specialized storage methods are used to get direct access to the separate attributes of the selected objects, without having to touch the bulk of the data. Included are histograming methods in an arbitrary number of dimensions, curve fitting, function evaluation, minimization, graphics and […]

Sherpa Sherpa is a modeling and fitting application for Python. It contains a powerful language for combining simple models into complex expressions that can be fit to the data using a variety of statistics and optimization methods. It is easily extensible to include user models, statistics, and optimization methods. It provides a high-level User Interface for interactive data-analysis work, such as within a Jupyter notebook, and it can also be used as a library component, providing fitting and modeling capabilities […]

xarray-spatial Xarray-Spatial implements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis. Installation # via pip pip install xarray-spatial # via conda conda install -c conda-forge xarray-spatial Dowloading our starter examples and data Once you have xarray-spatial installed in your environment, you can use one of the following in your terminal (with the environment active) to download our examples and/or sample data into your local directory. xrspatial examples : Download the examples notebooks and […]

Automation on Legal Court Cases Review This project is to automate the case review on legal case documents and find the most critical cases using network analysis. Project Information: Keywords: Automation, PDF parse, String Extraction, Network Analysis Software: Python : pdfminer, LexNLP, nltk sklearn R: igraph Scope: Parse court documents, extract citations from raw text. Build citation network, identify important cases in the network. Extract judge’s opinion text and meta information including opinion author, court, decision. Model training to predict […]

xarray xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily […]