Search Results for "python excel"
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Showing 10 open source projects for "python excel"
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AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
An AWS Professional Service open-source python initiative that extends the power of Pandas library to AWS connecting DataFrames and AWS data-related services. Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute usual... -
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CyberScraper 2077
A Powerful web scraper powered by LLM | OpenAI, Gemini & Ollama
CyberScraper 2077 is not just another web scraping tool – it's a glimpse into the future of data extraction. Born from the neon-lit streets of a cyberpunk world, this AI-powered scraper uses OpenAI, Gemini and LocalLLM Models to slice through the web's defenses, extracting the data you need with unparalleled precision and style. -
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YouTube video web scraper 2 [ISA]
YouTube video web scraper 2 [Improved.Simplified.Alternative]
'YouTube video web scraper 2' is an desktop application developed using python 3.11.4 and other add-on libaries. Finds YouTube video based on user request and view as table. Export the table as excel. Compatible only for windows OS. -
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DNS Crawler
A Bulk Domain Assessment Tool
DNS Crawler is a lightweight, Python-based utility designed for efficient batch processing and assessment of internet domain names. It reads from a list of domains formatted as: domain_name <tab> or ; optional_comment and generates a detailed, Excel-compatible CSV report with columns including: DOMAIN: Domain name REG: Registrar SOA, NS, MX, TXT, SPF, DMARC, MS, A, PTR: Common DNS records for comprehensive domain analysis NOTE: Optional comments from the original input file... -
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It is a powerful data scraping tool that helps you extract information from various online sources. Easily collect data from Google SERP, Maps, Shopify, Zillow, and more. With a user-friendly interface, you can scrape and save data in JSON or Excel formats. Unlock insights from the web effortlessly with scrape-it.cloud API.
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icemac.addressbook
Multi user address book application accessable through the web.
Multi user address book application accessable through the web. Store, edit, search and export addresses, phone numbers, … using a web browser. Code moved to https://bitbucket.org/icemac/icemac.addressbook Documentation see https://icemacaddressbook.readthedocs.io/en/latest/ New releases (after 6.0.2) see https://pypi.org/project/icemac.addressbook/#history -
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Whois by IP Python
Whois by IP pasandole una archivo de argumento
Uso: Whoisbyip.py <ArchivoLectura> <ArchivoEscritura> Se le pasa como primer parámetro un archivo lleno de IPs (IP por linea) y la salida donde queremos que guarde los diferentes datos recogidos. Realiza una petición whois y busca el campo Country y descr, guardandolo en un archivo.txt separando los datos mediante tabuladores con el objetivo de poder usarlo en excel. -
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Generating Excel 97+ files with Python 2.4+ (need decorators), importing Excel 95+ files, support for UNICODE in Excel files, using variety of formatting features and printing options, Excel files and OLE2 compound files dumper. No need in Windows/COM
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pyXLWriter is a Python library for generating Excel compatible spreadsheets. It's a port of John McNamara's Perl Spreadsheet::WriteExcel 1.0 module (see http://www.cpan.org) to Python. Requires Python 2.1+. [Project was stopped]
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Picsart Enterprise Background Removal API for Stunning eCommerce VisualsWith our Remove Background API tool, you can access the transformative capabilities of automation , which will allow you to turn any photo asset into compelling product imagery. With elevated visuals quality on your digital platforms, you can captivate your audience, and therefore achieve higher engagement and sales.
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The main purpose of "python2xlw" is to create an Excel-compatible file which can be sent to users via the web as an excel application. The motivation is mainly to support the display of XY Scatter plots and tabular numerical data(eg engineering data)
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