Sinatra
Pandas
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Sinatra | Pandas | |
---|---|---|
10 | 393 | |
12,095 | 41,923 | |
0.2% | 1.4% | |
8.4 | 10.0 | |
6 days ago | 4 days ago | |
Ruby | Python | |
MIT 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.
Sinatra
- Sinatra 4.0
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How to Use Sinatra to Build a Ruby Application
Compared to Ruby on Rails, a full-stack web framework, Sinatra is a very lean micro-framework originally developed by Blake Mizerany to help Ruby developers build applications with "minimal effort".
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Making AJAX Applications Crawlable? How to build a simple web service on Google App Engine to produce HTML Snapshots?
a Sinatra app hosted on Heroku on the domain http://example.com
- I created a simple router inspired by Ruby's Sinatra. What do you guys think?
- Escaping all path info with Shellwords.escape in Sinatra
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How do I set up a Sinatra app under Apache with Passenger?
Let's say I have the simplest single-file Sinatra app. The hello world on their homepage will do. I want to run it under Apache with Phusion Passenger, AKA mod_rails.
- Learning Ruby:Rails:Routes:Controllers#beginner
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Ruby on Rails VS Hanami - a user suggested alternative
3 projects | 11 Aug 2021
Sinatra is the oldest competitor of Rails. Although it's not that popular anymore, it's still used in some simple and performance focused services.
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Does Anyone use Sinatra in Production?
Sinatra is fine as long as you have a small number of routes, because its router is O(n): https://github.com/sinatra/sinatra/blob/ac5404dbd897a4b3c5b3921d2f89fecd3b540ed3/lib/sinatra/base.rb#L1008-L1010
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Hacktoberfest: 69 Beginner-Friendly Projects You Can Contribute To
https://github.com/sinatra/sinatra A classy web-development dressed in a DSL (official / canonical repo)
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]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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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?
Hanami - The web, with simplicity.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
Roda - Routing Tree Web Toolkit
tensorflow - An Open Source Machine Learning Framework for Everyone
Ruby on Rails - Ruby on Rails
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Padrino - Padrino is a full-stack ruby framework built upon Sinatra.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Cuba - Rum based microframework for web development.
Keras - Deep Learning for humans
Camping - the 5k pocket full-of-gags web microframework
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration