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(Finished) Geek Time Data Analysis Practical 45 Lecture - Detailed notes containing markdown images mind map code data can be read directly code test

An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.

Python DB API client library for CrateDB, using HTTP.

A curated list with useful Python programming tools and libraries, as well as other noteworthy resources.

𝗙𝗶𝗿𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻🔥using Machine Learning Algorithm with python🐍, GoogleColab & database taken from 𝗨𝗖𝗜 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆

MULLER: A Multimodal Data Lake Format for Collaborative AI Data Workflows

A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.

一些关于Python的数据分析的书籍的练习(含数据)，以及平时爬取的数据进行数据分析 豆瓣图书数据分析,Github followers分析，神秘巨星豆瓣短评分析等

Python Data Analysis 's project.

This repository includes my notes in the form of jupyter notes in which I have explained everything that I understood from the book Python for Data Analysis by Wes McKinney.

Extracting Reddit information using the PRAW library in Python, and carrying out some analysis on it.

End-to-end marketing analytics: SQL CTEs, Power BI dashboard, Python sentiment analysis — Orange DC Hackathon Top 3

A dynamic energy simulation for "Energy Positive" metro systems. Features an optimization-driven Smart EMS (PuLP), renewable energy integration (Solar/Wind), and Battery Storage (BESS) modeling to achieve zero-carbon urban transit.

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This is a repository for resources and notebooks completed as part of the IBM Data Science Professional Certificate.

Este curso está diseñado para brindar una sólida comprensión de cómo integrar MySQL con Python, permitiendo a los estudiantes aprender a interactuar con bases de datos relacionales de manera eficiente y efectiva. Desde la configuración inicial hasta consultas avanzadas, aprenderás a desarrollar aplicaciones robustas y escalables.

End-to-end E-commerce Revenue & KPI Analysis using Python, SQL Server, and Power BI. Includes data cleaning, SQL modeling, DAX KPIs, and an interactive BI dashboard.

This project performs advanced analysis of sales data across different company branches. It includes data cleaning, calculation of revenue and profit metrics, and visual comparison between branches.

• Updated Mar 17, 2026
• Jupyter Notebook

Simple Data Analysis and fitting a Linear Regression Model on a football dataset using Python