microblog
computer-science
microblog | computer-science | |
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220 | 1,081 | |
4,437 | 163,183 | |
- | 1.4% | |
2.1 | 7.7 | |
8 days ago | about 1 month ago | |
Python | ||
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
microblog
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Simple Flask Integration for an Elastic Semantic Search App
In this blog, we're going to address the "on any website" part of a Search Solution. Or at least - propose a starting point for it. There are many great tutorials out there for a deep dive on Flask - one of the best from my colleague Miguel.
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Ask HN: Washed out PHP Dev – What to do next?
- https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial...
- The Flask Mega-Tutorial, Part I: Hello, World
- Deploying python code as a webapp
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Hosting small script
If you'd like to deploy a web app, Flask is your best friend. It's very user friendly and there's a lot of great tutorials online. The only thing you'd need other than Python knowledge is some basic understanding of HTML/CSS and Jinja notation for variables, both of which are pretty intuitive to learn. Good luck!
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Ask HN: How to get back to programming Python?
I can't speak highly enough of Miguel Grinberg's work with Python/Flask (https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial...) and the community he's created around it, for both beginners and advanced folks.
Racing through his mega tutorial was a great refresher for me on the fundamentals, and it's easy to plug in computer vision & related libraries/extensions/packages.
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Structuring scalable flask app
Use miguel grinberg’s tutorial https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world
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Flask blueprints and cyclic dependencies with routes.py files
I got a recommendation (from a few places) to use Miguel Grinberg's microblog series to help me get up to speed on some flask things. I'm on ch 15 with blueprints, and am running into pylint cyclic import errors, both on my app and in the actual project (https://github.com/miguelgrinberg/microblog/tree/v0.15?search=1)
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How to Visualize a Social Network in Python with a Graph Database: Flask + Docker + D3.js
In the project root directory create a folder called static with one subfolder called js and another called css. The js folder will contain all of the needed local JavaScript files while the css folder will contain all the CSS stylesheets. In the js folder create a file called index.js and in the css folder one called style.css. Just leave them empty for now. If you want to find out more about web development with Flask I suggest you try out this tutorial. Your current project structure should like this:
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What Is The Best Tutorial To Pick Up Flask?
https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world is not perfect, but a great start.
computer-science
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My experience on the Public Speaking Challenge
Last year I discovered the DEV Community and since then this has been my favorite place to learn, share my learning journey, participate in challenges, and meet new people. I love to spend time in #discussion, debating about something, on "Welcome Thread" and moderating some novices and beginners posts too. On April 1st, @bekahhw from Virtual Coffee made a post inviting anyone in the community to join a challenge of Public Speaking. The main idea was to choose a topic, develop a well-structured and engaging talk, and present it at the end of the month, all the process was guided by the community with tips and tasks for each week. I loved the idea and was so excited about it. For the first week, I've chosen my topic, I'd like to talk a bit about Linux and open-source projects. Things like studying OS, testing a new distro on my desktop, and completely diving into the OSSU (Open Source Society University) influenced my choices directly. Then, I had to face one of my biggest difficulties, writing an outline with an introduction, development, and conclusion. For this presentation, each participant had 5-10 minutes to a lighting talk and I was afraid of writing something so superficial without connection or with big jumps between subtopics. As a non-native English speaker, I made an immersive month to get even more used to the language, listen to more music, watching even more videos (especially with my boyfriend whose have helped me so much with this and our long talks about OS and Kernels). In the last week, the focus was on delivering and I did my best to don't get nervous and just try to face this as a normal talk. I have to admit that I loved to spend time creating a slide presentation like I did a lot in my Physics Bachelor for countless experiments and projects. I have searched a lot about the Virtual Coffee community and I loved the main idea of mutual support and the meeting styles. Also, I'm on the waiting list and I hope to be in the Lightning Talks in the next year and join more and more challengers. As how I promised, here's my presentation video:
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Show HN: I made a cheaper alternative to college-level math and physics tutoring
There is a Discord server for the OSSU computer science cirriculum that is pretty active. https://github.com/ossu/computer-science
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Final project took me longer than expected, but I got there in the end.
For a well-rounded CS knowledge you might want to look into OSSU, which is designed to meet the requirements for univerisity CS courses.
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Learning coding
There’s also a compiled CS curriculum here: https://github.com/ossu/computer-science.
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Is codecademy worth it and where else can I learn
OP I hate to double comment and be "that guy who learned to code without going to college who MUST he did it the correct way" cause fuck "that guy". He's annoying, and he never shuts up, and I try really hard not to be that guy.... But I wanna provide some extra reasons I feel you should stay away from Code Academy. And as I said before, not because they're bad courses, so let me be that guy just for a brief moment. In addition to random Youtubers straight up having high quality courses that are much more update date, they often have supplemental tutorials on niche things that aren't covered in a "101 course". But even then, maybe the idea of a certificate on your resume appeals to you... Well, turns out there's more "academic" courses online you can do to get more of those things that self-taught dumbasses like me aren't as strong with because we skipped the "academic" part of learning..... If that's what makes Code Academy appealing (which I don't think they even go over much.... but still)... then here's 2 things I'd look at before pulling out your wallet. Here's Harvards entire introduction to Computer Science courses provided for anyone to take for free (you can pay for a certificate, but its straight up $0.00 to take the classes) Heres a github repo for an Open Source University that a ton of devs have curated to give a simulated full degree program If you want to focus hardcore on being a Web Developer and are frustrated by there not being tutorials that show you exactly how to handle every step from "there's no website on my computer" to "holy shit I made a website", then here you go The Odin Project is an Open Source answer to your cries of frustration. It has curriculum paths that do exactly that. The goal is to go from zero programming knowledge to fully employable as a web developer (by skill level at least, obviously you'll need to build stuff and build a resume)
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CMV: People should not be referred to as "Engineers" unless they have a degree in the appropriate field
That said, I'm a software developer and I don't see any point in the distinction of calling someone a software or computer engineer based on education (with the exception of electronics engineers that work on hardware, but here I'm talking about software). A BSc or BEng in computer science or software development can give you a headstart but nothing that can't be self taught and in hiring I've been shocked by many postgrad engineers that couldn't answer simple questions and were outdone by self taught engineers. Make no mistake though - education is required (e.g. you're not going to learn data structures and algorithms through osmosis), but it doesn't have to be formalised as a degree.
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After finishing cs50 python, what’s next? What did everybody do? I see there’s an ai course in python.. but not sure if im ready for that yet..
My plan is to follow the training program that the OSSU (Open Source Society University) provides in order to really delve into the topic and learn more. Check out this link for more info: https://github.com/ossu/computer-science
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NÃO QUERO FICAR PARA TRÁS!
se vc quer literalmente ficar a frente do seu curso, ent é só usar o ossu/computer-science.
- What is the best low level programming language to learn for someone who knows only python?
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I want to be a software engineer?
If someone's completed CS50X and W any recommendation where to carry on https://github.com/ossu/computer-science I'm thinking from core maths onwards seems reasonable.
What are some alternatives?
flask-app-tutorial - Project for how to create a flask web application.
developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.
build-a-saas-app-with-flask - Learn how to build a production ready web app with Flask and Docker.
p1xt-guides - Programming curricula
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
coding-interview-university - A complete computer science study plan to become a software engineer.
CS50x-2021 - 🎓 HarvardX: CS50 Introduction to Computer Science (CS50x)
flasky - Companion code to my O'Reilly book "Flask Web Development", second edition.
open-source-cs - Video discussing this curriculum:
kivy - Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
missing-semester - The Missing Semester of Your CS Education 📚