This repository was created in order for me to learn more about geopandas and as an introduction to geospatial data analysis. The non-exercise notebooks are made from articles in Towards Data Science, the exercises notebooks are simply applying what has been done in the non-exercise notebooks.
The dataset folder contains the eartquake dataset used in one of the exercise notebooks.
All the notebooks are fairly commented.
Thank you !
Raster_Sampling_Demo (Resulting graph of this demo) Background Sampling values of a raster at specific geographic coordinates can be done with a numbe
Automated EDA on financial dataset Just a simple way to get automated Exploration Data Analysis from financial dataset (OHLCV) using Streamlit and ta.
Tweetmetric Tweetmetric allows you to track various metrics on your most recent tweets, such as impressions, retweets and clicks on your profile. The
Shot notebooks resuming the main functions of GeoPandas, 2 notebooks written as Exercises to apply these functions.
Project: Netflix Data Analysis and Visualization with Python Table of Contents General Info Installation Demo Usage and Main Functionalities Contribut
bachelor-thesis "Umfragewerte.xlsx" contains the orginal survey results. "umfrage_alle.csv" contains the survey results but one participant is cancele
Amber Electric Usage Summary This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cos
Galvanalyser is a system for automatically storing data generated by battery cycling machines in a database, using a set of "harvesters", whose job it
Statistical Rethinking (2022 Edition) Instructor: Richard McElreath Lectures: Uploaded Playlist and pre-recorded, two per week Discussion: Online, F
MetaFrame A data structure that extends pyspark.sql.DataFrame with metadata info
GPyTorch GPyTorch is a Gaussian process library implemented using PyTorch. GPyTorch is designed for creating scalable, flexible, and modular Gaussian
Basketball Team Stats Tool In this project you will be writing a program that reads from the "constants" data (PLAYERS and TEAMS) in constants.py. Thi
Nobel_Data_Analysis This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries
scikit-posthocs is a Python package that provides post hoc tests for pairwise multiple comparisons that are usually performed in statistical data anal
Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f
Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design mat
Template Script Category Description Category script comparison script train.py, loader.py for single-machine-multiple-cards training train_DP.py, tra
superSFS This is a tool for speculation of ancestral allel, calculation of sfs and drawing its bar plot. It is easy-to-use and runing fast. What you s
Principal Component Analysis Principal Component Analysis (PCA) is a dimension-reduction algorithm. The idea is to use the singular value decompositio
xMCA | Maximum Covariance Analysis in Python The aim of this package is to provide a flexible tool for the climate science community to perform Maximu
2 Dec 13, 2022
28 Nov 27, 2022
29 Oct 18, 2022
2 Feb 13, 2022
1 Jan 26, 2022
12 May 26, 2022
20 Sep 28, 2022
3.9k Dec 31, 2022
8 Feb 15, 2022
3k Jan 02, 2023
2 Oct 23, 2021
1 Jan 24, 2022
264 Dec 30, 2022
6.2k Jan 08, 2023
866 Dec 16, 2022
2 Jun 27, 2022
3 Dec 16, 2022
1 Nov 06, 2021
39 Jan 03, 2023