1005 Open source projects that are alternatives of or similar to Scala Samples

Teaching Kids Programming

Spark 2.0 Python Machine Learning examples

收录开源的经典技术书籍 PDF 文件及相关网站，持续更新中...

🐍 Quick reference guide to common patterns & functions in PySpark.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Numerical computing in Swift – for Linux and macOS

The purpose of this tiny project is to put things together with the know how that i learned from the course big data expert from formacionhadoop.com The idea is to show how to play with apache spark streaming, kafka,mongo, spark machine learning algorithms.

The Internals of Apache Spark

A framework for writing Spark 2.x applications in a pretty way

The standard library of the D programming language

开源项目之「计算机编程自学之路」：计算机自学指南+面试大全+资源分享+技术文章

This application comes as Spark2.1-as-Service-Provider using an embedded, Reactive-Streams-based, fully asynchronous HTTP server

Exploring Procedural Generation algorithms in Godot

Comprehensive algorithms solution to help engineers prepare their interviews and future study

Spring-Shiro-Spark是Spring-Boot Hibernate Spark Spark-SQL Shiro iView VueJs... ...的集成尝试

全面的算法代码仓库

Python implementation of common algorithms and data structures interview questions

Spark examples

A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.

Implementation of All ▲lgorithms in Java Programming Language

📚 本仓库每1~3周会发布期刊，期刊内容为机器学习、深度学习、自然语言处理等领域的算法文章📝

Apache Spark Connector for Azure Kusto

Apache Spark and Apache Kafka integration example

Custom state store providers for Apache Spark

Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

JavaScript Algorithms and Data Structures Masterclass course on Udemy by Colt Steele

Here is the my solutions for problems in {leetcode, hackerrank, geeksforgeeks}

Hello Programmers 💻 , A one-stop Destination✏️✏️ for all your Competitive Programming Resources.📗📕 Refer CONTRIBUTING.md for contributions

零基础学习spark，大数据学习

C++ implementation pool for computer vision R&D projects.

Courses, Articles and many more which can help beginners or professionals.

Письма к студентам курса

💻 Algo-Phantoms-Backend is an Application that provides pathways and quizzes along with a code editor to help you towards your DSA journey.📰🔥 This repository contains the REST APIs of the application.✨

超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

Wonderful library with lots of useful functions, algorithms and data structures in C, link it with -l9wada

Collection of open-source Spark tools & frameworks that have made the data engineering and data science teams at Swoop highly productive

Open Machine Learning Course

Quick start with the Google Maps iOS SDK

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

🏃 Iterators made easy! Zero cost abstractions for designing and using C++ iterators.

Make a pull request. Let's hack the ocktober in an innovative way.

Visualize data using relative ordering

A relational database engine using B+ tree indexing

A middle-to-high level algorithm book designed with coding interview at heart!

Collection of Test Specs and Implementation of various algorithms and data structures from the Princeton Coursera course: Intro to Algorithms part 1 and 2

800 UVa Online Judge solutions in Go

NGXS Example Apps

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

.NET Implementations of Trie Data Structures for Substring Search, Auto-completion and Intelli-sense. Includes: patricia trie, suffix trie and a trie implementation using Ukkonen's algorithm.

A collection of containers & algorithms for the Crystal programming language

Spark RDD with Lucene's query and entity linkage capabilities

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

Google Authenticator support for Laravel Spark

A complete and efficient guide for Data Structure and Algorithms.