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 !
Generates a simple report about the current Covid-19 cases and deaths in Malaysia. Results are delay one day, data provided by the Ministry of Health Malaysia Covid-19 public data.
aCe - Data-Centric Parallel Programming Decoupling domain science from performance optimization. DaCe is a parallel programming framework that takes c
weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias Introduction | Updates | Usage | Results&Pretrained Models | Statement | Intr
Weather Image Recognition - Python weather application using series of data
Candlestick-Pattern-Recognition-with-Python-and-TA-Lib Goal Look at the S&P500 to try and get a better understanding of these candlestick patterns and
Spark-Syntax This is a public repo documenting all of the "best practices" of writing PySpark code from what I have learnt from working with PySpark f
A package to aggregate gridded data in xarray to polygons in geopandas using area-weighting from the relative area overlaps between pixels and polygons. Check out the binder link above for a sample c
Underwater object detection for robot picking has attracted a lot of interest. However, it is still an unsolved problem due to several challenges. We take steps towards making it more realistic by ad
PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams Motivation When dataset freshness is critical, the annotating of high speed
QuaTradis (Quadram TraDis) A set of tools to analyse the output from TraDIS analyses Contents Introduction Installation Required dependencies Bioconda
Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F
Sea Level Predictor Assignment You will anaylize a dataset of the global average sea level change since 1880. You will use the data to predict the sea
SNV Pipeline SNV calling pipeline developed explicitly to process individual or trio vcf files obtained from Illumina based pipeline (grch37/grch38).
Basis Set Format Converter Repository for the online tool that allows you to enter a basis set in the form of text input for a variety of Quantum Chem
Pypeln Pypeln (pronounced as "pypeline") is a simple yet powerful Python library for creating concurrent data pipelines. Main Features Simple: Pypeln
npy-converter Matrix Data Converter. Expand matrix for multi-thread, multi-process Divid matrix for multi-thread, multi-process Support: .mtx, .npy, .
pyclustering is a Python, C++ data mining library (clustering algorithm, oscillatory networks, neural networks). The library provides Python and C++ implementations (C++ pyclustering library) of each
Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components
Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine Intro This repo contains the python/stan version of the Statistical Rethinking
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