Django
Pandas
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Django | Pandas | |
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484 | 393 | |
76,573 | 41,863 | |
1.0% | 1.3% | |
9.9 | 10.0 | |
6 days ago | 3 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
Django
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AutoCodeRover resolves 22% of real-world GitHub in SWE-bench lite
>As an example, AutoCodeRover successfully fixed issue #32347 of Django.
This bug was fixed three years ago in a one-line change.[0] Presumably the fix was already in the training data.
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An Introduction to Testing with Django for Python
You should not test Django's own code — it's already been tested. For example, you don't need to write a test that checks if an object is retrieved with get_object_or_404 — Django's testing suite already has that covered.
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Django Hello, World
Django is a high-level Python web framework that prioritizes rapid development with clear, reusable code. Its batteries-included approach supplies most of what you need for complex database-driven websites without turning to external libraries and dealing with security and maintenance risks. In this tutorial, we will build a traditional "Hello, World" application while introducing you to the core concepts behind Django.
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Where can I create a website for free (no domain needed, basic server hosting, not something like Wix)
If you want to get into Python web development then Django can be a good place to start. https://www.djangoproject.com/
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I like this docstring from django source code
If found this:
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No changes detected with MAKEMIGRATION command after moving to new DataBase
Django's auth and session migration files are included with Django at https://github.com/django/django/tree/b287af5dc954628d4b336aefc5027b2edceee64b/django/contrib/auth/migrations and https://github.com/django/django/tree/b287af5dc954628d4b336aefc5027b2edceee64b/django/contrib/sessions/migrations
- What should I learn
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The DevRel Digest November 2023: DevRel You Should Know Part One and Why I Will Never, Ever Leave Developer Relations
Dawn Wages’ name came up a few times in my call for nominations, and it’s easy to see why! Dawn is a Python Community Advocate at Microsoft. She is active in the Django community with an emphasis on people of color and queer people in tech. Dawn’s impressive resume includes OSS maintainer, member of the Wagtail Core Team, DjangoCon '21, '22, '23 Sponsorship Chair, volunteer for Django Girls, and DjangoCon Africa 2021 Sponsorship Chair.
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CodeCraze🚀 - create your own blog in Django | Part 0 | Project Setup
In this Article, we create our own blog called CodeCraze using Django, a popular web framework written in python. Django is designed to help developers to rapidly build their web applications from concept to completion in an efficient way. Its a batteries included framework which provides out of the box functionalities such as ORM, API Integration, authentication, form handling & many more...
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Implementing Role-Based Access Control in Django
There are many models of access control, however, in this guide, we are going to focus on Role Based Access Control (RBAC) and how to implement it in Django.
Pandas
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
- Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
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10 Github repositories to achieve Python mastery
Explore here.
What are some alternatives?
Nest - A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
tensorflow - An Open Source Machine Learning Framework for Everyone
Flask - The Python micro framework for building web applications.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Masonite - The Modern And Developer Centric Python Web Framework. Be sure to read the documentation and join the Discord channel for questions: https://discord.gg/TwKeFahmPZ
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Keras - Deep Learning for humans
Nuxt.js - Nuxt is an intuitive and extendable way to create type-safe, performant and production-grade full-stack web apps and websites with Vue 3. [Moved to: https://github.com/nuxt/nuxt]
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration