pandas

Reads in a csv file (uploaded to Amazon S3 bucket) as a pandas dataframe. Performs basic data transformations and adds a column with flags based on ranges in temperature values in the dataframe. Uploads a copy of the modified data as a csv file in a different bucket. Emails list of recipients with a presigned URL to download the object.

IndyPy: Automate Spreadsheets talk on 2021-10-12. https://meetingplace.io/indypy/events/4798

Python Web Conference 2022 Let's Forget About Excel: Conda + Jupyter + Pandas to Leave Office Behind

Plática "Olvidate de Excel, bienvenido pandas" en Nerdearla México 2024 del 2024-11-07. https://nerdear.la/en/agenda/olvidate-de-excel-bienvenido-pandas/

NetscapeGen: A cross-platform Python GUI utility that converts structured Excel spreadsheets into standard Netscape HTML bookmark files. It automatically detects nested folder hierarchies from spreadsheet columns and generates a universal file compatible for import into Chrome, Firefox, Safari, and Edge.

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

Converts soil element concentrations data from ICP-OES and ICP-MS to a LIMS-compatible format.

Solución end-to-end para la migración y análisis de datos utilizando Python, FastAPI, Kafka y PostgreSQL. Implementa un pipeline de datos asíncrono y una API RESTful para analíticas, todo completamente containerizado con Docker Compose para un despliegue fácil y reproducible.

Python library to convert ros message streams to pandas dataframes.

Read ODS files into a pandas DataFrame while preserving direct formatting (bold, italic, underline) as markup (AsciiDoc, Markdown, HTML).

Training various machine learning models for NFLX stock price prediction with data collection, cleaning, and visualization tools.

Performed Exploratory Data Analysis (EDA) on the Google Play Store dataset using Python. Leveraged pandas for data cleaning and matplotlib for visualizations to analyze categories, ratings, installs, pricing, and update frequency. Created clear charts and dashboard-style visuals to uncover trends driving app popularity and user satisfaction.

Allows user to open their bookmarked pages by using a search engine like interface.

A Python module, primarily on linear and multiple regression including normalizing data, computing hypothesis, and evaluating cost.

A introductory course created to teach students basic processes for Data Analysis and Data Science.

Collect European Banking Authority's (EBA) reporting module data—including Templates—directly from EBA's "Reporting modules by name" page .

This repo will have all resources, labs, data which I use/d on Kaggle Network

This project is a comprehensive collection of 30 practical Pandas assignments, covering a wide range of real-world data analysis, cleaning, and manipulation tasks.