744 Open source projects that are alternatives of or similar to codefoundry

spring boot demo 是一个Spring Boot、Spring Cloud的项目示例，根据市场主流的后端技术，共集成了30+个demo，未来将持续更新。该项目包含helloworld(快速入门)、web(ssh项目快速搭建）、aop(切面编程)、data-redis(redis缓存)、quartz(集群任务实现)、shiro（权限管理）、oauth2（四种认证模式）、shign(接口参数防篡改重放）、encoder（用户密码设计）、actuator（服务监控）、cloud-config（配置中心）、cloud-gateway（服务网关）等模块

Creating microservice using Spring Boot, Eureka, Zuul, Sleuth, Zipkin and ELK Stack

Source code for the tutorials published on the Javadevjournal site.

Spring 文件的範例資源

Personal notes of preparation to Spring 5 Professional Certification

Application that build on Elasticsearch and Spring Boot Microservices (Synchronous Service)

OpenTracing Spring Web instrumentation

云南数聚基础框架

Spring Boot & Spring Cloud & Spring Security Demo Case（Spring学习示例实战项目）

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

Spring Cloud Microservices Development.《Spring Cloud 微服务架构开发实战》

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Tasks microservice (Spring Boot, MVC, Data, Lombok, Cloud, OAuth2, Config, Eureka, Zuul, Hystrix, Docker)

A Cloud Native App with Spring Coud Security with KeyCloak Auth Server, API Gateway Server, Naming Server, Config Server and Distributed Tracing and ELK Stack hosted in K8s

Spring Cloud services with 5 microservices - End to End Example

本项目是完全基于Spring Boot2和Springcloud Finchley所进行了开发的，目的是简化和统一公司内部使用微服务框架的使用方法

A Pandas Styler class for making beautiful tables

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Interactive reports to analyze machine learning models during validation or production monitoring.

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Random dataframe and database table generator

DataFrame Server for Financial Timeseries Data

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Dataframe Integration with spaCy.

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

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Working with molecular structures in pandas DataFrames

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

This repository helps you understand python from the scratch.

Visualize and compare datasets, target values and associations, with one line of code.

A Jupyter notebook that uses the Watson Visual Recognition and Natural Language Understanding services to enrich Facebook Analytics and uses Cognos Dashboard Embedded to explore and visualize the results in Watson Studio

Treinamento voltado para arquitetos de software, líderes de equipe, desenvolvedores em geral...

SciKIt-learn Pipeline in PAndas

Python driver for MarketStore

A tutorial-based introduction to web scraping with Python.

InfluxDB 2.0 python client

Some useful Tips and Tricks to speed up the data analysis process in Python.

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Collection of Databricks and Jupyter Notebooks

SimpleSQLite is a Python library to simplify SQLite database operations: table creation, data insertion and get data as other data formats. Simple ORM functionality for SQLite.

a chat app using flutter & dart & jpush

Tutorials

Repository to store sample python programs for python learning

Ordinal regression in Python

Powerful product analytics for data teams, with full control over data & models.

DataFrame support for scikit-learn.

Jupyter magics and kernels for working with remote Spark clusters

Python client for Finnhub API

Grafana Pandas Datasource - using Python for generating timeseries-, table-data and annotations

Python package to read sas, spss and stata files into pandas data frames. It is a wrapper for the C library readstat.

Create HTML profiling reports from pandas DataFrame objects

Downloads historical EOD (end of day) prices from yahoo finance

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

Read and write Python objects to S3, caching them on your hard drive to avoid unnecessary IO.

《史上最简单的Spring Cloud教程源码》

springCloud学习

bigdatatutorial

Python package to read and write R RData and Rds files into/from pandas dataframes. No R or other external dependencies required.