Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Pytablewriter | 575 | 39 | 50 | 7 months ago | 125 | October 08, 2023 | 5 | mit | Python | |
pytablewriter is a Python library to write a table in various formats: AsciiDoc / CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV. | ||||||||||
Mexican Government Report | 444 | 4 years ago | mit | Python | ||||||
Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results. | ||||||||||
Face Recognition Attendance System | 376 | 6 months ago | 18 | mit | Python | |||||
Face Detection | Recognition | Attendance | ||||||||||
Npyviewer | 104 | a year ago | 3 | mit | Python | |||||
Load and view .npy files containing 2D and 1D NumPy arrays. | ||||||||||
Saucie | 92 | a year ago | 20 | mit | Python | |||||
Data Analysis With Pandas | 50 | 4 years ago | 1 | Jupyter Notebook | ||||||
Welcome to data analysis with pandas tutorial. In this tutorial i have covered all the topic of pandas and tried to explain with lesser number of words.This tutorial is totally written in jupyter notebook so that anyone can clone and run it. | ||||||||||
Million Song Dataset Hdf5 To Csv | 27 | 7 years ago | 2 | mit | Python | |||||
Million Song Dataset HDF5 to CSV Converter | ||||||||||
Vf Blenderpointarray | 18 | 4 months ago | gpl-3.0 | Python | ||||||
Generate point arrays for Geometry Nodes using cubic grid, golden angle (Fermat's spiral), poisson disc sampling, or import points from data sources in CSV, NPY, and VF (Unity 3D volume field) formats. | ||||||||||
Covid 19 | 14 | 3 years ago | mit | Python | ||||||
Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic. | ||||||||||
Casebasedreasoning | 8 | 6 years ago | mit | Python | ||||||
Find missing values in data set using Euclid distance, normalization and calculating information value, weight of evidence |