Notes/slides and notebooks for the course PATC: Introduction to Big Data Analytics 2022 - Practical Data Analytics for Solving Real World Problems
Thanks goes to these wonderful people (emoji key):
 MT-G |
This project follows the all-contributors specification. Contributions of any kind welcome!
NSE-timeseries-form-CSV-file-creator-and-SQL-appender- This creates a ohlc timeseries from downloaded CSV files from National Stock Exchange India (NS
Data Analyst with PYTHON Data Analyst berperan dalam menghasilkan analisa data serta mempresentasikan insight untuk membantu proses pengambilan keputu
unyt A package for handling numpy arrays with units. Often writing code that deals with data that has units can be confusing. A function might return
Surveying Attack Models for CAVs Guide to Installing CARLA and Collecting Data Our project focuses on surveying attack models for Connveced Autonomous
qgrid Qgrid is a Jupyter notebook widget which uses SlickGrid to render pandas DataFrames within a Jupyter notebook. This allows you to explore your D
pysal/spaghetti SPAtial GrapHs: nETworks, Topology, & Inference Spaghetti is an open-source Python library for the analysis of network-based spatial d
Datashredder is a simple data corruption engine written in python. You can corrupt anything text, images and video. You can chose the cha
DAT8 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (8/18/15 - 10/29/15). Instructor: Kevin Markham (
NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep
Politics and Virality in the Time of Twitter Data and code accompanying the paper Politics and Virality in the Time of Twitter. In specific: the code
Numerics Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production Use procedure: Initialise a new i
Leetcode compensations report Scraping and analysis of leetcode-compensations page.
Description Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis. Ti
Convert an image of numbers to a .csv file This Python program aims to convert images of array numbers to corresponding .csv files. It uses OpenCV for
Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter
PyCellFrame Insert Pandas DataFrames into the Excel sheet with a bunch of conditions Install pip install pycellframe Usage Examples Let's suppose that
Remora Methylation/modified base calling separated from basecalling. Remora primarily provides an API to call modified bases for basecaller programs s
Stock and Index Beta Calculator Python script that calculates the beta (β) of a stock against the chosen index. The script retrieves the data and resa
SymPy See the AUTHORS file for the list of authors. And many more people helped on the SymPy mailing list, reported bugs, helped organize SymPy's part
Investigating EV charging data Introduction: Got an opportunity to work with a home monitoring technology company over the last 6 months whose goal wa
1 Oct 02, 2022
6 Oct 11, 2022
304 Jan 02, 2023
1 Dec 09, 2021
2.9k Jan 08, 2023
203 Jan 03, 2023
2 Jul 22, 2022
1.6k Jan 07, 2023
1 Jan 21, 2022
3 Jul 02, 2022
1 Nov 13, 2021
96 Jan 01, 2023
4.1k Jan 09, 2023
711 Dec 26, 2022
1 Jan 23, 2022
1 Feb 16, 2022
72 Jan 05, 2023
4 Jul 29, 2022
9.9k Dec 31, 2022
2 Apr 07, 2022