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It is a WEB Scraping Project which uses BeautifulSoup and Requests to scrape the data from the website. With the help of data manipulation library it stores the data in CSV as well as Excel file.
The program will allow a user to create and customize a team of 6 Pokemon. For each, the user can specify the specie, the moves it will know, the item it will be holding, and the nature it will have. This is to demonstrate capabilities with data management and constructing a GUI in Python.
High speed conversion of IP addresses represented in CIDR notation into their corresponding start and end IPs, along with their respective subnet masks.
This repository contains python program files developed for the prediction of one-month ahead rainfall employing LSTM network from hydrometeorological variables. It contains files for data processing, feature selection, model development, and result extraction.
💡 You can easily extract photos 📸 from an Excel 📊 cell using this Python script. But wait, there's more! These photos can also be saved with names created by given cells. To discover how to make the most of this powerful tool, follow the steps below or watch the video guide. Happy extracting! ✨🔍
Projeto do Curso de Data Science do DataCamp. O objetivo do projeto é fazer uma análise abrangente do mercado de aplicativos Android, comparando mais de dez mil aplicativos no Google Play em diferentes categorias. Carregando, limpando e visualizando dados copiados da Google Play Store.
A simple password manager built with Python using the tkinter library. This program allows users to generate secure passwords and store them along with website and email details. The passwords are saved locally in a text file (`data.txt`) for easy retrieval.
An Excel multi-cell autocomplete tool. Uses a known data file with cell rules and corresponding output to insert data into another file. Used to add verified details (like coordinates) to biodiversity obervation data, but at its core, a multipurpose tool.
Complex Parser is a powerful Python package designed to streamline the process of data extraction from JSON-like structures while also enriching the extracted data with synonym retrieval capabilities.
A dynamic scripting for in place data processing on MongoDB collections with generalized postprocessing pipelines aimed to handle any types and sizes of data
Instead of making comparisons between two Excel documents reading line-by-line, this program utilizes data manipulation techniques to make correlations between Excel documents and creates a new Excel document based on these correlations.