Divyang Panchasara's repositories
websocket-server-demo
C++ WebSocket Server Demo
awesome-project-management
Awesome lists about Project Management interesting and useful topics.
compiler-explorer
Run compilers interactively from your web browser and interact with the assembly
grafana-prometheus-node-js-example
Step-by-step tutorial on creating beautiful dashboards for your Node JS application
integration-studio-examples
Example project files for WSO2 Integration Studio
Lab.Architecture
A repository that serves as my lab for exploring Architecture concepts, patterns, ideas
practical-aspnetcore
Practical samples of aspnet core 2.1, 2.2, 3.1 and 5.0 RC 1 projects you can use. Readme contains explanations on all projects.
sample-istio-services
providing inter-service communication on kubernetes via minikube using istio framework and spring boot resttemplate
Algorithmic-Alley
Code from posts at AlgorthmicAlley.com
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
docker-elk
Basic ELK stack in Docker
docker-influxdb-grafana
Docker-compose files for a simple InfluxDB + Grafana stack
docker-logentries
Forward all your Docker logs to logentries, like a breeze
Free-Security-eBooks
Free Security and Hacking eBooks
golang-vs-csharp
Golang vs C# comparison
graphql-to-mongodb
Allows for generic run-time generation of filter types for existing graphql types and parsing client requests to mongodb find queries
hadoop-book
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
LangSvcV2
"Language Service V2" reference repository
minsk
This repo contains Minsk, a handwritten compiler in C#. It illustrates basic concepts of compiler construction and how one can tool the language inside of an IDE by exposing APIs for parsing and type checking.
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.