Hi to all the programmers worldwide, Please read this and help me through this journey, this may save my life. So straight to the point I’m 25 , know some basic programming (Python,JS) did several experience in Network and other computer fields (but not something very professional) I always wanted to master python and be able to build my own app that can collect data through some internet sources and analysis it for me. I know Python is the right language for that, but I have some major big problems with this! First, there are millions of YT vids out there which I do not find that helpful because I have already done watching like some of them and I find the basic functions just understandable! I need some deeper more straight to point sources to help me get mastered Python. Second, what book do you prefer for Data Analysis and API resources. Based on my learning preference I would like to learn through projects and do reverse engineering I do not want to start from all the beginning based on the fact that I have ADHD and I cannot really focus that much on very simple and boring Syntaxes that are just there available. Can you please help me with reverse engineering submitted by /u/Middle-Ad2461 [link] [comments]

I'm using Python on a daily basis at this point. Not for work but just making my life easier around the house and in my day to day. So I'm curious. What do you like using the language for? submitted by /u/average_service [link] [comments]

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Tell /r/python what you're working on this week! You can be bragging, grousing, sharing your passion, or explaining your pain. Talk about your current project or your pet project; whatever you want to share. submitted by /u/Im__Joseph [link] [comments]

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I wanted to kickstart an engaging conversation in this thread dedicated to brainstorming and sharing innovative ideas about a potential new Python framework with a strong emphasis on Gevent. About GAPI: GAPI is a high-performance API framework built on the power of Gevent, designed with scalability as its core principle. It surpasses ASGI-based frameworks by harnessing the efficiency of green threads to deliver exceptional performance. repo : https://github.com/achaayb/GAPI submitted by /u/achaayb [link] [comments]

GitHub Repo: https://github.com/Dicklesworthstone/swiss_army_llama This project originally started out with a focus on easily generating embeddings from Llama2 and other llama_cpp (gguf) models and storing them in a database, all exposed via a convenient REST api. But since then, I've added a lot more functionality: New endpoint for generating text completions (including specifying custom grammars, like JSON). Get all the embeddings for an entire document-- can be any kind of document (plaintext, PDFs, .doc/.docx, etc.) and it will do OCR on PDFs and images. Submit an audio file (wav/mp3) and it uses whisper to transcribe it into text, then gets the embeddings for the text (after combining the transcription segments into complete sentences). Integrates with my new vector similarity library (`pip install fast_vector_similarity`) to provide an "advanced" semantic search endpoint. This uses a 2-step process: first it uses FAISS to quickly narrow down the set of stored embeddings using cosine similarity, then it uses my vector similarity library to compute a bunch of more sophisticated (and computationally intensive) measures for the final ranking. As a result, I changed the project name to Swiss Army Llama to reflect the new project goal: to be a one stop shop for all your local LLM needs so you can easily integrate this technology in your programming projects. As I think of more useful endpoints to add (I constantly get new feature ideas from my own separate projects-- whenever I want to do something that isn't covered yet, I add a new endpoint or option), I will continue growing the scope of the project. So let me know if there is some functionality that you think would be generally useful, or at least extremely useful for you! A big part of what makes this project useful to me is the FastAPI backbone. Nothing beats a simple REST API with a well-documented Swagger page for ease and familiarity, especially for developers who aren't familiar with LLMs. You can set this up in 1 minute on a fresh box using the docker TLDR commands, come back in 15 minutes, and it's all set up with downloaded models and ready to do inference or get embeddings. It also lets you distribute the various pieces of your application on different machines connected over the internet. ​ submitted by /u/dicklesworth [link] [comments]

I made a library in Rust for extracting cookies from every web browser on the PC with cross platform support and you can use it from Python directly It supports Windows, Linux, MacOS and all modern web browsers like Chrome, Firefox, Brave I would love to hear you opinion about it 🙂 https://github.com/thewh1teagle/rookie submitted by /u/WeatherZealousideal5 [link] [comments]

Hey guys if you are new to web-scraping and want to learn more, Id highly recommend checking out my quick 5 step twitter thread, I have also linked a medium article that goes more in-depth in the thread. https://twitter.com/ThatDevLR/status/1708228865015914504 submitted by /u/ThatDevLR [link] [comments]

I am trying to understand if await for an async function that is running one task is any better than just executing the code without async/await. In other words, while my Python code is awaiting for the coroutine to complete, is Python optimized in any way to do other work while waiting that is not directly related to my written code? I'm not familiar with the inner workings of Python, but I'm referring to things like cache clearing or garbage collecting. submitted by /u/WesternMuch8325 [link] [comments]

I have just started to lear Python the last year, and other lenguages like JS and SQL, but I wanna know what should be my next step. Am either going to dive deep in Back end or AI but is it too soon for me to look up for an specific branch of programming? submitted by /u/lateforever1thing [link] [comments]

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Full changelog: https://meerschaum.io/news/changelog/#20x-releases In a nutshell, it adds verify pipes, deduplicate pipes, preliminary Dask support, and other quality-of-life improvements. submitted by /u/Obliterative_hippo [link] [comments]

Heyo I made a giga basic script which does what the title says, feel free to mess around with it if you like. Here's the repo: https://github.com/mehow28/short_subber Black bars are added to the video, since I wanted the output to be in a vertical tiktok/youtube shorts format. Also, I don't have time / am too lazy to add a readme right now, but it's important to note that I ripped of was inspired by this repo: https://github.com/NisaarAgharia/AI-Shorts-Creator submitted by /u/mehow28 [link] [comments]

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Hello, i uploaded a data science project on YouTube. I used Pandas, Numpy, Matplotlib, Seaborn and Scikit-learn libraries in the project. İ also added the link to the dataset in the description. I am sharing the link, have a great day! https://www.youtube.com/watch?v=9-IQJu-6vhw submitted by /u/onurbaltaci [link] [comments]

​ https://i.redd.it/tlx8f1r5qerb1.gif GitHub : https://github.com/PabloLec/RecoverPy Hey everyone! I'm here to share something I've been working on for nearly three years now, RecoverPy, and its new 2.1.1 version. It's a nifty tool that can really be a lifesaver when you've accidentally deleted or overwritten files. It works its magic by conducting a text-based search to find the lost data. It sports a TUI built with Textual. I found it to be quite enjoyable to use and it seems many others agree, given its rise as one of the most (or the most?) popular TUI libraries in Python, despite still being in beta. Since its creation, RecoverPy has gone through quite a transformation. It's integrated lots of feedback from its user community, improved many aspects to enhance the user experience, and even underwent almost a full rewrite to switch up the TUI library in its second version. Essentially, it uses the strength of grep and dd to sift through partition blocks, giving you a user-friendly way to sift through the results. Interestingly, it found a niche not only among individuals looking to recover files but has also piqued interest in the hacking scene, which was a bit of a pleasant surprise for me. It seems the tool lends itself well to that sphere too. I manage to chip away at it from time to time, given that my free moments are becoming a bit of a rarity these days. It still has room to grow, and if anyone here feels like contributing, I'm more than open to collaborations. Your PRs would certainly be welcome! Feel free to give it a glance, and if you find it interesting or useful, a star on the repository would be greatly appreciated. submitted by /u/ThenChoice2 [link] [comments]

GitHub: rohankishore/Aura-Text: Aura Text is a versatile and powerful text editor powered by QScintilla that provides all the necessary tools for developers. It is build using PyQt6 and Python. (github.com) ​ https://preview.redd.it/xw06a3tpidrb1.png?width=1754&format=png&auto=webp&s=1b304ae540c5b493372a8f991c98df4d1d3ae137 https://preview.redd.it/xym9uctqidrb1.png?width=1428&format=png&auto=webp&s=d22f267a47428961c30f160e20c3cb98585766bb submitted by /u/Specialist-Arachnid6 [link] [comments]

PhysiPy is a powerful and versatile Python library designed to streamline physics calculations and provide easy access to many essential physical constants. Whether you are a student, researcher, or enthusiast seeking to explore the intricacies of the physical world, PhysiPy is an indispensable tool for your scientific endeavours. ​ GitHub: rohankishore/PhysiPy: Python Library to calculate all types of Physics Formulae, both for calculations and reasearch (github.com) ​ # to calculate the resistance import PhysiPy a = PhysiPy.Electricity.resistance(25, 10) print(a) >> 2.5 submitted by /u/Specialist-Arachnid6 [link] [comments]

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