Weekly Thread: What's Everyone Working On This Week? 🛠️ Hello /r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to! How it Works: Show & Tell: Share your current projects, completed works, or future ideas. Discuss: Get feedback, find collaborators, or just chat about your project. Inspire: Your project might inspire someone else, just as you might get inspired here. Guidelines: Feel free to include as many details as you'd like. Code snippets, screenshots, and links are all welcome. Whether it's your job, your hobby, or your passion project, all Python-related work is welcome here. Example Shares: Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate! Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better. Automation: Automated my home lighting with Python and Raspberry Pi. My life has never been easier! Let's build and grow together! Share your journey and learn from others. Happy coding! 🌟 submitted by /u/AutoModerator [link] [comments]

Listen at https://podcast.pythontest.com/episodes/220-juggling-pycon Even if you never get a chance to go to PyCon, I hope this interview helps you get a feel for the welcoming aspect of the Python community. The juggling at PyCon is one of the inspirations for PythonPeople.fm, one of PythonTests's sibling podcasts. Do you have any conference tips to add? submitted by /u/variedthoughts [link] [comments]

Hello r/python, I've developed a Python script that allows you to reboot your router remotely via SSH! This script handles the countdown and checks when the router is back online after a reboot. What My Project Does: Key Features: - Automated Router Reboot: Remotely trigger a reboot of your router. - Monitoring: After sending the reboot command, the script counts down from 350 seconds and starts checking the router's status by pinging it after the first 100 seconds have passed. - Flexibility: You can pass arguments dynamically (router IP, username, password, and port) or use hardcoded values within the script. Method of Execution: To execute the script from the command line: bash python3 reboot-router.py --ip <router_ip> --username <username> --password <password> --port <port_number> Default values are set, but it's highly recommended to pass arguments to the script for security reasons. Target Audience: This script is intended for: - Tech Enthusiasts and Home Users who enjoy managing their home network setups and want a quick way to automate router management. Requirements: Required Modules and Programs: - Python 3: The script is written in Python 3. Ensure you have Python 3.6 or newer installed. - subprocess and argparse modules: These are standard libraries in Python and should be available with your Python installation. - sshpass: This utility is used for noninteractive password authentication with SSH. Install it using your package manager, e.g., sudo apt-get install sshpass for Debian/Ubuntu. Important Router Configuration: Before using this script, make sure your router is configured to: - Enable SSH Access: Ensure SSH is turned on and configured to accept password authentication. This setting is usually found under the Administration tab in your router settings. - Allow ICMP Echo (Ping) Requests: Some routers disable ICMP Echo requests by default for security. You must enable Respond ICMP Echo (ping) Request from WAN under the Firewall tab. Comparison: Unlike many GUI-based tools, this script provides a simple, lightweight command-line solution easily integrated into larger automation workflows or triggered manually without logging into the router interface. For People New to Python: If you're new to scripting or network management, be cautious about storing sensitive information like passwords directly in scripts. While hardcoded values can be used for ease and demonstration, the best practice is to pass these securely as arguments to prevent exposure. Access to the script You can access the script on my GitHub page here Feel free to use, modify, and share this script! I look forward to your feedback and enhancements! Cheers -J submitted by /u/SAV_NC [link] [comments]

Excited to share my pypi package image2grid, which is actually my first oss. What My Project Does: It enables us to create a gists for grid-like images/gifs for GitHub profile page in ease, which is sometimes saw in some Instagram account Target Audience:anyone who is fond of decorating GitHub profile page submitted by /u/kiwami_zamurai [link] [comments]

Hey, python folks ! I have been coding in python for around 3 years, 2 years professionally. I have worked with asyncio, typing and other stuff that is needed to build a server. I was looking for a small but impactful enough open source core python library/application to work on. I tried cpython but it seems to be beyond my capability at the moment. As for my interests I was interested in lower level stuff as well as libraries like asyncio and celery. Any suggestions for libraries that could use a bit of help and teach me some stuff as well would be appreciated submitted by /u/JimJimBerry [link] [comments]

Weekly Thread: Resource Request and Sharing 📚 Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread! How it Works: Request: Can't find a resource on a particular topic? Ask here! Share: Found something useful? Share it with the community. Review: Give or get opinions on Python resources you've used. Guidelines: Please include the type of resource (e.g., book, video, article) and the topic. Always be respectful when reviewing someone else's shared resource. Example Shares: Book: "Fluent Python" - Great for understanding Pythonic idioms. Video: Python Data Structures - Excellent overview of Python's built-in data structures. Article: Understanding Python Decorators - A deep dive into decorators. Example Requests: Looking for: Video tutorials on web scraping with Python. Need: Book recommendations for Python machine learning. Share the knowledge, enrich the community. Happy learning! 🌟 submitted by /u/AutoModerator [link] [comments]

Hello everybody, Thank you for having us here, and a huge "Thank you" to the moderators for letting us post. We have just released the latest edition of The Quick Python Book by the one-and-only Naomi Ceder, and I wanted to share that news with the community. Many of you are already familiar with Naomi's work and her massive contributions to the world of Python programming language. The Quick Python Book has aided over 100,000 developers in mastering Python. The Fourth Edition of the book has been revised to include the latest features, control structures, and libraries of Python, along with new coverage of working with AI-generated Python code. Naomi, the author, has beautifully balanced the details of the language with the insights and advice required to accomplish any task. Her personal touch has made learning Python an enjoyable experience for countless developers. 📚 You can find the book here: https://mng.bz/aEQj 📖 Get into the liveBook: https://mng.bz/gvee And last but not the least, get 46% off with code: receder46 Hope you find the book helpful. Thank you. Cheers, submitted by /u/ManningBooks [link] [comments]

Python Streamlit is terrific for putting together interactive dashboards. Combined with the geopandas library, streamlit can easily display GIS data points on a map for you. Forest fires in my home province of British Columbia, Canada have been really bad recently. NASA has a terrific dataset that keeps track of forest fires by country. Can I use Streamlit to access this dataset and display a map off all the fires within a certain area (BC) for a particular time frame (2021)? And can I give the user the ability to choose a month? You bet! Let me step you through how! FREE tutorial (with code): https://johnloewen.substack.com/p/simple-interactive-python-streamlit submitted by /u/jgloewen [link] [comments]

Excited to share my pypi package typedparser I have been working on for around 1 year now. What My Project Does: It enables writing CLI scripts and create an "args" variable with autocompleted members and type checks, but still keeps the simple and universally understood syntax of the stdlib argarse module. Target Audience: For stability, I battletested it in my research projects and added automatic builds as well as 80%+ test coverage. So I believe it is pretty stable. Comparison: For typing functionality it uses the attrs package as backend. It also provides some additional features for object and dictionary manipulation. Of course there are many other CLI argument packages out there, but this one stands out in that it tries to keep the syntax of the argparse standard library as much as possible, making it easy for others to figure out what your script does. Check it out and let me know what you think. submitted by /u/gings7 [link] [comments]

Weekly Thread: Meta Discussions and Free Talk Friday 🎙️ Welcome to Free Talk Friday on /r/Python! This is the place to discuss the r/Python community (meta discussions), Python news, projects, or anything else Python-related! How it Works: Open Mic: Share your thoughts, questions, or anything you'd like related to Python or the community. Community Pulse: Discuss what you feel is working well or what could be improved in the /r/python community. News & Updates: Keep up-to-date with the latest in Python and share any news you find interesting. Guidelines: All topics should be related to Python or the /r/python community. Be respectful and follow Reddit's Code of Conduct. Example Topics: New Python Release: What do you think about the new features in Python 3.11? Community Events: Any Python meetups or webinars coming up? Learning Resources: Found a great Python tutorial? Share it here! Job Market: How has Python impacted your career? Hot Takes: Got a controversial Python opinion? Let's hear it! Community Ideas: Something you'd like to see us do? tell us. Let's keep the conversation going. Happy discussing! 🌟 submitted by /u/AutoModerator [link] [comments]

Where can I find a decent comparison (pros and cons) of these 5 solutions? They seem to be solving the same problem, which is, afaiu, separating the frontend ‘annoyance’ from Python scripting / math. ⁠Reflex (used to be called Pynecone) https://reflex.dev ⁠Streamlit https://streamlit.io ⁠Gradio https://gradio.app ⁠Dash https://dash.plotly.com ⁠Panel https://panel.holoviz.org/ ⁠Anvil https://anvil.works/ Quarto My use case: user access the web app, choose some parameters, selects things that go or not into a model. Python returns results of my math. Needs to be somewhat eye-candy and I need to use a lot of pictures to get the user input (i.e. “which of these figures you like most? 1,2,3. User clicks on “3”, 3 is considered in the model. submitted by /u/Sea_Split_1182 [link] [comments]

What my project does: It basically takes a formula string like you'd get from Openpyxl like "=SUM(A1:B2)" and breaks it all out into a dictionary structure for you to then navigate through, modify, and then reformat that modified structure back into an excel friendly formula string again! Target Audience: (People who modify Excel formula strings in automated spreadsheet modification scripts. Or people who need to analyze formulas in a spreadsheet to do some kind of logic based on that analysis). Disclaimer: For most people some simple regex pattern matching and str replaces would be fine to modify formulas but if you need a more structured approach to working with these strings, this package has you covered! How does it differ compared to other projects: There are libraries like Openpyxl that allow you to tokenize and translate formulas but that's currently where it ends. It doesn't allow you to systematically parse out a formula and replace those pieces and add new structures and what not into it. Currently the best you can really do is translate formulas and anything other than that would need to rely on regex string matching logic or string replacements. (Which still would be fine for most people, but this just adds another layer of organization and scalability to the format). More info about it here: https://github.com/Voltaic314/ExcelFormulaParser To install, just do: pip install ExcelFormulaParser Thank you for reading this!! Hope you guys find it useful if you're ever systematically modifying (or analyzing) spreadsheets! submitted by /u/MPGaming9000 [link] [comments]

I made a tutorial on how to build a server-to-server Zoom OAuth application using Python. This application can transcribe Zoom meeting recordings, print the transcripts to the terminal, and save the transcripts as text files. video tutorial repo written tutorial This tutorial covers: Setting up OAuth authentication for server-to-server apps Utilizing the Zoom API to access recordings Implementing automatic transcription using Python submitted by /u/SleekEagle [link] [comments]

Hey everyone 👋 TL;DR Since everyone is talking about the Humane AI Pin and the Rabbit R1, I decided to make a short 5 minute tutorial on how people can setup and customize their own little AI assistant on their machine. I've uploaded a video tutorial here: https://www.youtube.com/watch?v=2fD_SAouoOs&ab_channel=2BytesGoat And the Github code is here: https://github.com/2BYTESGOAT/AI-ASSISTANT Longer version What my project does: It's the starter code for an AI assistant that you can run locally. More precisely, it's a ChatGPT / Llama 2 agent that has access to Google Search and can get businesses nearby based on your location. The tool can be easily extended to support other APIs. Target audience: Pythoneers that are curious about LLMs and LLM related libraries. Comparison: It was inspired by projects such as the Humane AI Pin and the Rabbit R1. Though it's a inferior version to those, it serves more as a playground for people to develop their own AI assistants. submitted by /u/2bytesgoat [link] [comments]

What my project does: I wanted to share an open-source project I’ve been working on called k8sAI. It’s a personal AI Kubernetes expert that can answer questions about your cluster, suggests commands, and even executes relevant kubectl commands to help diagnose and suggest fixes to your cluster, all in the CLI! Target Audience: As a relative newcomer to k8s, this tool has really streamlined my workflow. I can ask questions about my cluster, k8sAI will run kubectl commands to gather info, and then answer those question. It’s also found several issues in my cluster for me - all I’ve had to do is point it in the right direction. I’ve really enjoyed making and using this so I thought it could be useful for others. Added bonus is that you don’t need to copy and paste into ChatGPT anymore! k8sAI operates with read-only kubectl commands to make sure your cluster stays safe. All you need is an OpenAI API key and a valid kubectl config. Start chatting with k8sAI using: $ pip install k8sAI $ k8sAI chat or to fix an issue: $ k8sAI fix -p="take a look at the failing pod in the test namespace" Would love to get any feedback you guys have! Here's the repo for anyone who wants to take a look Comparison: I found a tool (k8sGPT) that I enjoyed using, but I felt it was still missing a few pieces on the chatbot side. You can't chat back and forth with k8sGPT and it doesn't suggest commands for you to execute, so I decided to make this. submitted by /u/Wild_Plantain528 [link] [comments]

I created this tutorial after overcoming a difficult challenge myself: uploading 5GB+ files to AWS. This approach allows the browser to securely upload directly to an S3 bucket without the file having to travel through the backend server. The implementation is written in python (backend) and vanilla js (frontend). submitted by /u/tylersavery [link] [comments]

Hello everyone! I'd like to announce version 1.10.0: https://hatch.pypa.io/latest/blog/2024/05/02/hatch-v1100/ Feel free to provide any feedback either here or as a discussion on the repo: https://github.com/pypa/hatch submitted by /u/Ofekmeister [link] [comments]

The Python on Microcontrollers (and Raspberry Pi) Newsletter: subscribe for free With the Python on Microcontrollers newsletter, you get all the latest information on Python running on hardware in one place! MicroPython, CircuitPython and Python on single Board Computers like Raspberry Pi & many more. The Python on Microcontrollers newsletter is the place for the latest news. It arrives Monday morning with all the week’s happenings. No advertising, no spam, easy to unsubscribe. 10,958 subscribers - the largest Python on hardware newsletter out there. Catch all the weekly news on Python for Microcontrollers with adafruitdaily.com. This ad-free, spam-free weekly email is filled with CircuitPython, MicroPython, and Python information that you may have missed, all in one place! Ensure you catch the weekly Python on Hardware roundup– you can cancel anytime – try our spam-free newsletter today! https://www.adafruitdaily.com/ submitted by /u/HP7933 [link] [comments]

I'd like to explore other people's setup and perhaps try need things or extra tools. What kind IDE, any extra tools to make it easier for you, etc. Looking forward to everyone's responses! submitted by /u/Working_Noise_6043 [link] [comments]

I have a simple backend REST API service that is serving a few ML models. I have made it "secured" by implementing an API key in order call those endpoints. I was wondering, how common it is for people to use services that can be self-hosted as their authentication/authorization. If it is common and reliable, what are the best options to go for? I've read that building your own authentication/authorization service with email verification, password reset, and social auth can be a pain. Also, did some googling and found this General - Fief. Has anyone ever tried using this? If so, how was the experience? Thanks in advance. submitted by /u/FlyingRaijinEX [link] [comments]