Awesome List Updates on Mar 06, 2023

12 awesome lists updated today.

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1. Awesome V

Graphics

• mpv-v (⭐31) - World's Simplest Video Player.

2. Awesome Privacy

Cloud Storage

• PrivateStorage - Accountless, privacy-focused cloud storage and folder synchronization with client-side encryption.

3. Awesome Generative Deep Art

Generative AI history, timelines, maps, and definitions

• [🔥🔥] Toward General Design Principles for Generative AI Applications: this paper presents a set of seven principles for the design of generative AI applications

4. Awesome D

Machine Learning

• grain2 (⭐7) - Autograd and GPGPU library for dynamic neural networks in D

• tfd (⭐33) - Tensorflow wrapper for D

5. Awesome Go

Third-party APIs

• openaigo (⭐296) - OpenAI GPT3/GPT3.5 ChatGPT API client library for Go.

6. Awesome Vite

Templates / React

• vite-react-ts-template (⭐104) - React 18, TypeScript, ESlint, Prettier, Dev Container, Vitest, Storybook, Playwright, MSW, React Router 6, React Query, Chakra UI, Zustand.

7. Awesome Decentralized

Applications

• Manyverse: A social network off the grid. Scuttlebutt for mobile.

8. Awesome Mdbootstrap

Community

• Snippets - Projects created with MDBootstrap.

• Support - Place where you can solve your technical problems.

Useful Links

• UI/UX Tips - Quick and easy-to-implement tips to improve your design.

• Services - We incorporate all of them in our own products, so our developers are uniquely experienced with these tools. We also use a variety of other solutions.

CLI & hosting

• MDB CLI - Create, deploy and host your project with a single command.

• Quick Start - Get started with MDB CLI easily and quickly and how to use its full potential.

• Getting Started - Step by step on how to create your project and deploy.

• Overview - Guide which will take you on how to perform different actions.

Education

• Written Tutorials

9. Awesome Polars

Python / Miscellaneous

• polars for Python (⭐34k) - Python polars package to use polars DataFrame from Python.

• tidypolars tidypolars python library built on top of polars library that gives access to methods and functions familiar to R tidyverse users.

Rust / Miscellaneous

• polars for Rust (⭐34k) - Rust polars crate to use polars DataFrame with Rust.

R / Miscellaneous

• rpolars for R (⭐513) - R rpolars package to use polars DataFrame from R.

Cheat Sheets / Miscellaneous

• Polars Cheat Sheet - A Polars Cheat Sheet by @FranzDiebold.

Tutorials & workshops / Miscellaneous

• Modern Polars - A side by side comparison between Polars and Pandas containing code in both frameworks by @kevinheavey.

Blog posts / Miscellaneous

• Plodding with Polars in Python - A blog post by @amitrathore that introduces some basic features of Polars.

• Polars-lazy - A blog post by @ritchie46 and @jorgecarleitao that introduces Polars' lazy API in Rust.

• Series of posts on Polars - A series of blogpost on Polars usage with a lot of useful tricks and information by @braaannigan. Moreover, Liam also has a Data Analysis with Polars course on Udemy.

• Youtube videos about Polars - A series of short youtube videos about Polars by @braaannigan

• Alternatives to Pandas: Python Polars - An article that explores the Python Polars module as an alternative to Pandas, comparing their similarities and differences and providing some examples by @JohnLockwood

• Discover the Power of Polars Library for Fast and Efficient Data Manipulation in Python - An article that quickly compares Polars to other data manipulation libraries by Morpheus.

Talks and videos / Miscellaneous

• Polars: Blazingly Fast DataFrames in Rust and Python ⏳ 37 min - Introduction to Polars by databricks.

• Polars: The Next Big Python Data Science Library... written in Rust? ⏳ 14 min - A short video tutorial to get started coding with Polars by @RobMulla.

• The Last Polars Dataframe vs. Pandas Dataframe Video You Should Ever See ⏳ 19 min - A video that compares Polars and Pandas data frames.

• The Best library for building Data Pipelines... ⏳ 12 min - A video that compares Pandas, Spark and Polars for working with data in Python by @RobMulla.

• Expressive & fast dataframes in Python with polars ⏳ 28 min - A video that reviews some alternatives to Pandas for Python and then demonstrates some Polars features by Juan Luis Cano Rodríguez.

• Polars Introduction for Python with a 128GB Ryzen 24-core Benchmark vs Pandas ⏳ 12 min - A video that provides an introduction to Polars for Python by @jeffheaton. Notebook used for the video in this github repo (⭐183).

• Polars: The main alternative to pandas in Python!? ⏳ 57 min - A Polars tutorial series on Youtube by @martinbel. Notebooks and datasets used for the videos available in this github repo (⭐51).

• Polars vs Pandas ⏳ 37 min - A detailed video on Youtube that compares Polars and Pandas by @hu-po.

Follow / Miscellaneous

• Ritchie Vink (@ritchie46) - Author of Polars

• Alexander Beedie (@alexander-beedie) - Contributor to Polars projects

10. Awesome Mongodb

Tools / Development

• migrate-mongo (⭐982) - Database migration tool

11. Awesome Cl

Iteration

• cl-transducers (⭐130) - Ergonomic, efficient data processing. LGPL3.
  • "Transducers are an ergonomic and extremely memory-efficient way to process a data source. Here “data source” means simple collections like Lists or Vectors, but also potentially large files or generators of infinite data."
  • "It is, in general, the most complete implementation of the Transducer pattern."
  • a "modern" API with map, filter, take, repeat, cycle, fold…

• gmap (⭐19) - A concise and extensible iteration facility that has the advantage of integrating well with FSet (see the Data Structures section), as it was written by the same author. In Quicklisp as part of misc-extensions. Public domain.

12. Awesome Micropython

Code Generation / SRAM

• micropython-usermod - Online book about MicroPython external modules writen in C.

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