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#promptEngineering#dataAnalysis#Python#pandas#chatGPT 🤖 Prompt Engineering for Data Analysis Python, Pandas, ChatGPT ChatGPT & Python. No Coding Needed. Data Analysis & Data Visualisation with ChatGPT, Python, Pandas & Prompt Engineering 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

#python#pyside6#python#youtube_dl#youtube_downloader#yt_dlp#yt_dlp_gui YTSage is a user-friendly app that lets you download YouTube videos in any quality, extract audio, and get subtitles easily through a clean interface. You can download single videos or entire playlists, save thumbnails and descriptions, remove sponsor segments, and even trim videos. It supports login with cookies for private content and updates itself automatically. Installation is simple via pip or pre-built executables for Windows, Linux, and macOS. This tool helps you save and organize YouTube content efficiently with advanced options like speed limiting and custom commands, making video downloading fast and convenient. https://github.com/oop7/YTSage

#R#Python#estadistica#bayesiana#aporte 📓 Curso avanzado de estadistica bayesiana con Python ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

#python#large_language_models#llms#long_video_understanding#multi_modal_llms#rag#retrieval_augmented_generation Vimo is a desktop app that lets me chat with any video, from short clips to hundreds of hours, in simple natural language. I can drag and drop videos, ask questions, find exact moments, compare multiple videos, and export useful insights, all on macOS, Windows, or Linux. Powering this is the VideoRAG algorithm, which deeply understands visual, audio, and contextual information, giving accurate answers even for very long videos. This helps me save time, understand complex content faster, and turn large video libraries into searchable, usable knowledge. https://github.com/HKUDS/VideoRAG

http://matplotlib.org/ #matplotlib is a python #2D#plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in #python scripts, the python and #ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six #graphical user interface toolkits. screenshots

#python#crawler#feapder#feaplat#python#scrapy#spider Feapder is a simple, powerful Python web scraping framework (Python 3.6+) with four spider types for different needs, plus breakpoint resuming, monitoring alerts, browser rendering, and massive data deduplication. Install easily via pip (basic, render, or full versions), create a spider with one command, and run it to fetch/parse sites like Baidu. A management system handles deployment/scheduling. This saves you time by making scraping fast, reliable, and scalable without building everything from scratch. https://github.com/Boris-code/feapder

#python#assistant#learning#note_taking#notebook#notes_app#self_learning Open Notebook is a free, open-source tool that helps you organize and control your research privately without relying on big companies like Google. It supports many AI providers, lets you manage different content types like PDFs and videos, and even create professional multi-speaker podcasts. You can search your notes smartly, chat with AI using your own research as context, and customize everything to fit your needs. It runs on your own computer or cloud, so you keep full control of your data and costs. This means you get a powerful, flexible, and private research assistant tailored to you. https://github.com/lfnovo/open-notebook

#python#evaluation_framework#evaluation_metrics#llm_evaluation#llm_evaluation_framework#llm_evaluation_metrics DeepEval is an open-source tool that makes it easy to test and improve large language model (LLM) applications, much like how Pytest works for regular software, but focused on LLM outputs. It offers over 30 ready-to-use metrics—such as answer relevancy, faithfulness, and hallucination—to check if your LLM is accurate, safe, and reliable. You can test your whole application or just parts of it, and even generate synthetic data for better testing. DeepEval works locally or in the cloud, letting you compare results, share reports, and keep improving your models. This helps you build better, safer, and more trustworthy LLM apps with less effort[1][2][3]. https://github.com/confident-ai/deepeval

#python#gregtech#minecraft#modpack#quests#thaumcraft GT New Horizons is a very large and challenging Minecraft modpack focused on GregTech, offering a deep, progressive experience starting from the Stone Age and advancing through technology tiers like steam and electricity, eventually exploring other planets and dimensions. It includes over 3000 quests that guide you through complex tech, magic, and exploration, making the game feel like one connected adventure rather than separate mods. The pack features realistic world generation, tough survival conditions, and a mix of technology and magic mods, providing a long-lasting, rewarding gameplay for players who enjoy expert-level challenges and detailed crafting systems[1][2][3]. This benefits you by offering a rich, immersive Minecraft experience that grows with your skills and keeps you engaged for a long time. https://github.com/GTNewHorizons/GT-New-Horizons-Modpack

#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft

https://stxnext.com/blog/2017/04/12/most-popular-python-scientific-libraries/ The most popular Python scientific libraries: #Astropy #Biopython #Cubes #DEAP #SCOOP #PsychoPy #Pandas #Mlpy #matplotlib #NumPy #NetworkX #TomoPy #Theano #SymPy #SciPy #scikit_learn #scikit_image #ScientificPython #SageMath #Veusz #graph_tool #SunPy #Bokeh

#python#pywxdump#wechat#wx#wxdump#wxexport PyWxDump is a Python tool that helps you get detailed WeChat account info like nicknames, phone numbers, emails, and keys, decrypt WeChat databases, and view or export chat histories as HTML or CSV files. It supports remote chat viewing over a network and combines multiple databases for easy access. You can back up chats, analyze data, and even use a web interface for convenience. This tool is useful for network security, daily backups, and managing WeChat data efficiently. It’s open-source, mainly for Windows, and includes tutorials and FAQs to help you use it safely and legally[1][2][3]. https://github.com/xaoyaoo/PyWxDump