Thanks for checking out my app! It was built entirely using matplotlib and Tokyo 2020 Paralympics data.
This application is a dashboard that runs an analysis of Tokyo 2020 Paralympics results. You can find all medals and medalists distributions with the possibility to look into country and/or discipline.
Flags pictures from SOURCE FLAGS.
If you are interested in sport data you can check Tokyo 2020 Olympics and Olympic Games, 1986-2018
I hope you enjoy!
Challenge 01 | Bantotal Please read the instructions for the challenge by selecting your preferred language below: Español Português License Copyright
IndexNumCalc Calculate multilateral price indices using the GEKS-T (CCDI), Time Product Dummy (TPD), Time Dummy Hedonic (TDH), Geary-Khamis (GK) metho
Randomisation-based inference in Python based on data resampling and permutation.
BinTuner is a cost-efficient auto-tuning framework, which can deliver a near-optimal binary code that reveals much more differences than -Ox settings. it also can assist the binary code analysis rese
BENDR BErt-like Neurophysiological Data Representation This repository contains the source code for reproducing, or extending the BERT-like self-super
This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and lo
pySerialTransfer Python package to transfer data in a fast, reliable, and packetized form.
Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems.
databooks is a package for reducing the friction data scientists while using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and assisting in the resolution of
follow-analyzer follow-analyzer helps GitHub users analyze their following and followers relationship by providing a report in html format which conta
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database, using a set of "harvesters", whose job it
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
Bearsql adds sql syntax on pandas dataframe. It uses duckdb to speedup the pandas processing and as the sql engine
mapa 🌍 Create 3d-printable STLs from satellite elevation data Installation pip install mapa Usage mapa uses numpy and numba under the hood to crunch
SSQAuto (Splunk Search Query Automation) Example Of Splunk Search Query With Python And Splunk Python SDK installation: ➜ ~ git clone https://github.c
Overview docs tests package Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era
Surf's Up Weather analysis with Python, SQLite, SQLAlchemy, and Flask Overview The purpose of this analysis was to examine weather trends (precipitati
Fastlane An ETL framework for building pipelines, and Flask based web API/UI for monitoring pipelines. Project structure fastlane |- fastlane: (ETL fr
A real data analysis and modeling project - restaurant inspections Jafar Pourbemany 9/27/2021 This project represents data analysis and modeling of re
Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn
44 Sep 28, 2022
3 Apr 27, 2022
67 Dec 27, 2022
42 Dec 16, 2022
114 Dec 23, 2022
102 Nov 10, 2022
101 Dec 07, 2022
1 Jan 06, 2022
86 Dec 25, 2022
2 May 02, 2022
20 Sep 28, 2022
16 Jun 09, 2022
14 Jun 22, 2022
13 Dec 15, 2022
1 Nov 14, 2021
193 Nov 29, 2022
1 Sep 05, 2021
2 Jan 06, 2022
2 Aug 21, 2022
6 Jul 01, 2022