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Virtualization-Emulation-Guide

Virtualization/Emulation Guide
https://github.com/mikeroyal/Virtualization-Emulation-Guide

Last synced: about 5 hours ago
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Network Learning Resources
- AWS Certified Security - Specialty Certification
- Microsoft Certified: Azure Security Engineer Associate
- Google Cloud Certified Professional Cloud Security Engineer
- Cisco Security Certifications
- The Red Hat Certified Specialist in Security: Linux
- Linux Professional Institute LPIC-3 Enterprise Security Certification
- Cybersecurity Training and Courses from IBM Skills
- Cybersecurity Courses and Certifications by Offensive Security
- CCNP Routing and Switching
- Certified Information Security Manager(CISM)
- Wireshark Certified Network Analyst (WCNA)
- Juniper Networks Certification Program Enterprise (JNCP)
- Networking courses and specializations from Coursera
- Network & Security Courses from Udemy
- Network & Security Courses from edX
- Microsoft Certified: Azure Security Engineer Associate
- Google Cloud Certified Professional Cloud Security Engineer
- Cybersecurity Training and Courses from IBM Skills
- Cybersecurity Courses and Certifications by Offensive Security
- Juniper Networks Certification Program Enterprise (JNCP)
- Citrix Certified Associate – Networking(CCA-N)
- Citrix Certified Professional – Virtualization(CCP-V)
- Google Cloud Certified Professional Cloud Security Engineer
Networking Tools & Concepts
- cURL - line tool for transferring data using various network protocols(HTTP, HTTPS, FTP, FTPS, SCP, SFTP, TFTP, DICT, TELNET, LDAP LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP or SMTPS). cURL is also used in cars, television sets, routers, printers, audio equipment, mobile phones, tablets, settop boxes, media players and is the Internet transfer engine for thousands of software applications in over ten billion installations.
- Authelia - source highly-available authentication server providing single sign-on capability and two-factor authentication to applications running behind [NGINX](https://nginx.org/en/).
- nginx(engine x)
- Proxmox Virtual Environment(VE) - source platform for enterprise virtualization. It inlcudes a built-in web interface that you can easily manage VMs and containers, software-defined storage and networking, high-availability clustering, and multiple out-of-the-box tools on a single solution.
- Wireshark
- cURL Fuzzer
- DoH - alone application for DoH (DNS-over-HTTPS) name resolves and lookups.
- HTTPStat
- Wuzz
- Websocat - line client for WebSockets, like netcat (or curl) for ws:// with advanced socat-like functions.
- HTTPie - line HTTP client. Its goal is to make CLI interaction with web services as human-friendly as possible. HTTPie is designed for testing, debugging, and generally interacting with APIs & HTTP servers.
Network Protocols
- Interfaces
  - REST(REpresentational State Transfer)
  - JSON Web Token (JWT) - safe means of representing claims to be transferred between two parties. The claims in a JWT are encoded as a JSON object that is digitally signed using JSON Web Signature (JWS).
  - OAuth 2.0 - party applications to access the user account.
  - Kubernetes.io
  - REST(REpresentational State Transfer)
  - JSON Web Token (JWT) - safe means of representing claims to be transferred between two parties. The claims in a JWT are encoded as a JSON object that is digitally signed using JSON Web Signature (JWS).
Kubernetes Learning Resources
- Interfaces
Kubernetes Tools, Frameworks, and Projects
- Interfaces
  - Azure Kubernetes Service (AKS) - grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.
  - Amazon EKS
  - AWS Controllers for Kubernetes (ACK) - available Kubernetes applications that utilize AWS services.
  - Container Engine for Kubernetes (OKE) - managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute.
  - Anthos - premises environments.
  - Red Hat Openshift - premises, hybrid, and multicloud deployments.
  - OKD - tenant deployment. OKD adds developer and operations-centric tools on top of Kubernetes to enable rapid application development, easy deployment and scaling, and long-term lifecycle maintenance for small and large teams.
  - Odo
  - Thanos
  - Rook - managing, self-scaling, self-healing storage services. It automates the tasks of a storage administrator: deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migration, disaster recovery, monitoring, and resource management.
  - Kubespray - sigs/kubespray/blob/master/docs/aws.md), GCE, [Azure](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/azure.md), [OpenStack](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/openstack.md), [vSphere](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/vsphere.md), [Packet](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/packet.md) (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal.
  - Rancher
  - K3s - constrained, remote locations or inside IoT appliances.
  - Helm
  - Knative - based platform to build, deploy, and manage modern serverless workloads. Knative takes care of the operational overhead details of networking, autoscaling (even to zero), and revision tracking.
  - KubeFlow
  - Etcd - value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. Etcd is used as the backend for service discovery and stores cluster state and configuration for Kubernetes.
  - OpenEBS - based tool to create stateful applications using Container Attached Storage.
  - Container Storage Interface (CSI) - in.
  - MicroK8s - the-air updates for ultra-reliable operations. It is supported on Linux, Windows, and MacOS.
  - Charmed Kubernetes - key, conformant Kubernetes platform, optimized for your multi-cloud environments developed by Canonical.
  - Grafana Kubernetes App
  - KubeEdge
  - Lens
  - kind
  - Flux CD
  - Platform9 Managed Kubernetes (PMK) - 2 operations with 99.9% SLA on any environment, whether in data-centers, public clouds, or at the edge.
  - Azure Kubernetes Service (AKS) - grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.
  - Red Hat Openshift - premises, hybrid, and multicloud deployments.
  - OKD - tenant deployment. OKD adds developer and operations-centric tools on top of Kubernetes to enable rapid application development, easy deployment and scaling, and long-term lifecycle maintenance for small and large teams.
  - Kata Operator
  - Rancher
  - K3s - constrained, remote locations or inside IoT appliances.
  - Charmed Kubernetes - key, conformant Kubernetes platform, optimized for your multi-cloud environments developed by Canonical.
  - Grafana Kubernetes App
  - KubeEdge
  - OKD - tenant deployment. OKD adds developer and operations-centric tools on top of Kubernetes to enable rapid application development, easy deployment and scaling, and long-term lifecycle maintenance for small and large teams.
  - Container Engine for Kubernetes (OKE) - managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute.
Docker Learning Resources
- Interfaces
Docker Tools
- Interfaces
  - Docker
  - Docker Enterprise - center/company-news/mirantis-acquires-docker-enterprise/).
  - Docker Desktop
  - Docker Hub - source projects, and the community.
  - Docker Compose - container applications. With Docker Compose, you can create a YAML file to define the services and with a single command, can spin everything up or tear it all down.
  - Docker Swarm - native clustering system swarm is a simple tool which controls a cluster of Docker hosts and exposes it as a single "virtual" host.
  - Dockerfile - line instructions in succession.
  - Docker Containers
  - Docker Engine
  - Docker Network
  - Docker Daemon
  - Docker Storage
  - Kitematic
  - Containerd - level storage to network attachments and beyond. It is available for Linux and Windows.
  - Docker Enterprise - center/company-news/mirantis-acquires-docker-enterprise/).
  - Docker Desktop
  - Docker Containers
  - Docker Engine
  - Containerd - level storage to network attachments and beyond. It is available for Linux and Windows.
  - Buildah
  - Podman
  - Open Container Initiative
Models of FPGA Boards
- Interfaces
FPGA Learning Resources
- Interfaces
  - FPGA(Field Programmable Gate Arrays)
  - TinyFPGA - cost, [open source FPGA boards](https://github.com/tinyfpga) in a tiny form factor.
  - FPGA & SoC Design Tools from Microsemi
  - QuickLogic Embedded FPGA (eFPGA) Intellectual Property (IP) and Software
  - FPGA for Beginners with Development Boards from Digilent®
  - Hundreds of FPGA Projects on Instructables
  - FPGA Fundamentals from NI(National Instruments)
  - Getting Started With LabVIEW FPGA from NI(National Instruments)
  - Programming and FPGA Basics - INTEL® FPGAS
  - Intel FPGA Training Program
  - FPGA Courses on Coursera
  - FPGA Courses on Udemy
  - FPGA Online Training Courses on LinkedIn Learning
  - UMass Lowell's Graduate Certificate in Field Programmable Gate Arrays(FPGA)
  - FPGA Design Fundamentals Course (UC San Diego Extension)
  - FPGA II Course (UC San Diego Extension)
  - FPGAs & SoCs Training from Microsemi
  - DSP fundamentals for FPGAs course from MATLAB and Simulink Training
  - DSP fundamentals for FPGAs course from MATLAB and Simulink Training
  - TinyFPGA - cost, [open source FPGA boards](https://github.com/tinyfpga) in a tiny form factor.
  - FPGA for Beginners with Development Boards from Digilent®
  - FPGA Fundamentals from NI(National Instruments)
  - Getting Started With LabVIEW FPGA from NI(National Instruments)
  - FPGA Design Fundamentals Course (UC San Diego Extension)
  - FPGA II Course (UC San Diego Extension)
FPGA Tools
- Interfaces
  - LabVIEW FPGA - on for LabVIEW that you can use to more efficiently and effectively design FPGA-based systems through a highly integrated development environment, IP libraries, a high-fidelity simulator, and debugging features.
  - Tock - M and RISC-V based embedded platforms. Tock's design centers around protection, both from potentially malicious applications and from device drivers.
  - LLVM - end(parser and lexer) and a back-end (code that converts LLVM's representation to actual machine code).
  - TinyGo - line tools.
  - Chipyard - based systems-on-chip. It will allow you to leverage the Chisel HDL, Rocket Chip SoC generator, and other [Berkeley](https://berkeley.edu/) projects to produce a RISC-V SoC with everything from MMIO-mapped peripherals to custom accelerators.
  - Renode
  - Diosix - metal hypervisor written in Rust for RISC-V.
  - LabVIEW FPGA - on for LabVIEW that you can use to more efficiently and effectively design FPGA-based systems through a highly integrated development environment, IP libraries, a high-fidelity simulator, and debugging features.
  - Tock - M and RISC-V based embedded platforms. Tock's design centers around protection, both from potentially malicious applications and from device drivers.
Verilog/SystemVerilog Tools
- Interfaces
  - Verilator - source SystemVerilog simulator and lint system.
  - EDA Playground
  - Chisel - lang.org/) programming language, providing designers with the power of a modern programming language to write complex, parameterizable circuit generators that produce synthesizable Verilog.
  - Clash compiler - level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog.
  - Verilator - source SystemVerilog simulator and lint system.
  - EDA Playground
  - Clash compiler - level descriptions to low-level synthesizable VHDL, Verilog, or SystemVerilog.
  - Cascade - In-Time Compiler for Verilog from VMware Research. Cascade executes code immediately in a software simulator, and performs compilation in the background. When compilation is finished, the code is moved into hardware, and from the user’s perspective it simply gets faster over time.
  - Icestudio
  - PlatformIO for VSCode
  - PlatformIO - in. It provides support for multiplatforms and frameworks such as IoT, Arduino, CMSIS, ESP-IDF, FreeRTOS, libOpenCM3, mbed OS, Pulp OS, SPL, STM32Cube, Zephyr RTOS, ARM, AVR, Espressif (ESP8266/ESP32), FPGA, MCS-51 (8051), MSP430, Nordic (nRF51/nRF52), NXP i.MX RT, PIC32, RISC-V.
  - Verilog to Routing(VTR) - source framework for conducting FPGA architecture and CAD Research & Development. The VTR design flow takes as input a Verilog description of a digital circuit, and a description of the target FPGA architecture.
CUDA Tools Libraries, and Frameworks
- Interfaces
  - Chainer - based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.
  - CuPy - compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it. It supports a subset of numpy.ndarray interface.
  - CatBoost
  - cuDF - like API that will be familiar to data engineers & data scientists, so they can use it to easily accelerate their workflows without going into the details of CUDA programming.
  - ArrayFire - purpose library that simplifies the process of developing software that targets parallel and massively-parallel architectures including CPUs, GPUs, and other hardware acceleration devices.
  - AresDB - powered real-time analytics storage and query engine. It features low query latency, high data freshness and highly efficient in-memory and on disk storage management.
  - NVIDIA cuDNN - accelerated library of primitives for [deep neural networks](https://developer.nvidia.com/deep-learning). cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN accelerates widely used deep learning frameworks, including [Caffe2](https://caffe2.ai/), [Chainer](https://chainer.org/), [Keras](https://keras.io/), [MATLAB](https://www.mathworks.com/solutions/deep-learning.html), [MxNet](https://mxnet.incubator.apache.org/), [PyTorch](https://pytorch.org/), and [TensorFlow](https://www.tensorflow.org/).
  - CUDA Toolkit - accelerated applications. The CUDA Toolkit allows you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms and HPC supercomputers. The toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library to build and deploy your application on major architectures including x86, Arm and POWER.
  - CUDA-X HPC - X HPC includes highly tuned kernels essential for high-performance computing (HPC).
  - GraphVite - speed and large-scale embedding learning in various applications.
  - Minkowski Engine - differentiation library for sparse tensors. It supports all standard neural network layers such as convolution, pooling, unpooling, and broadcasting operations for sparse tensors.
Verilog/SystemVerilog Learning Resources
- Interfaces
CUDA Learning Resources
- Interfaces
  - CUDA Toolkit Documentation
  - CUDA Quick Start Guide
  - CUDA on WSL
  - CUDA GPU support for TensorFlow
  - NVIDIA Deep Learning cuDNN Documentation
  - NVIDIA GPU Cloud Documentation
  - NVIDIA NGC - optimized software for deep learning, machine learning, and high-performance computing (HPC) workloads.
  - NVIDIA NGC Containers - accelerated software for AI, machine learning and HPC. These containers take full advantage of NVIDIA GPUs on-premises and in the cloud.
  - CUDA GPU support for TensorFlow
  - NVIDIA NGC - optimized software for deep learning, machine learning, and high-performance computing (HPC) workloads.
  - NVIDIA NGC Containers - accelerated software for AI, machine learning and HPC. These containers take full advantage of NVIDIA GPUs on-premises and in the cloud.
  - CUDA - accelerated applications, the sequential part of the workload runs on the CPU, which is optimized for single-threaded. The compute intensive portion of the application runs on thousands of GPU cores in parallel. When using CUDA, developers can program in popular languages such as C, C++, Fortran, Python and MATLAB.
MATLAB Learning Resources
- Interfaces
MATLAB Tools, Libraries, Frameworks
- Interfaces
  - SoC Blockset™
  - MATLAB and Simulink Services & Applications List
  - MATLAB in the Cloud - cloud) including [AWS](https://aws.amazon.com/) and [Azure](https://azure.microsoft.com/).
  - MATLAB Online™
  - Simulink - Based Design. It supports simulation, automatic code generation, and continuous testing of embedded systems.
  - Simulink Online™
  - MATLAB Drive™
  - ROS Toolbox
  - Image Processing Toolbox™ - standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing.
  - Computer Vision Toolbox™
  - Statistics and Machine Learning Toolbox™
  - Lidar Toolbox™ - camera cross calibration for workflows that combine computer vision and lidar processing.
  - Mapping Toolbox™
  - UAV Toolbox
  - Partial Differential Equation Toolbox™
  - Robotics Toolbox™ - holonomic vehicle. The Toolbox also including a detailed Simulink model for a quadrotor flying robot.
  - Deep Learning Toolbox™ - term memory (LSTM) networks to perform classification and regression on image, time-series, and text data. You can build network architectures such as generative adversarial networks (GANs) and Siamese networks using automatic differentiation, custom training loops, and shared weights. With the Deep Network Designer app, you can design, analyze, and train networks graphically. It can exchange models with TensorFlow™ and PyTorch through the ONNX format and import models from TensorFlow-Keras and Caffe. The toolbox supports transfer learning with DarkNet-53, ResNet-50, NASNet, SqueezeNet and many other pretrained models.
  - Reinforcement Learning Toolbox™ - making algorithms for complex applications such as resource allocation, robotics, and autonomous systems.
  - Deep Learning HDL Toolbox™ - built bitstreams for running a variety of deep learning networks on supported Xilinx® and Intel® FPGA and SoC devices. Profiling and estimation tools let you customize a deep learning network by exploring design, performance, and resource utilization tradeoffs.
  - Model Predictive Control Toolbox™ - loop simulations, you can evaluate controller performance.
  - Vision HDL Toolbox™ - streaming algorithms for the design and implementation of vision systems on FPGAs and ASICs. It provides a design framework that supports a diverse set of interface types, frame sizes, and frame rates. The image processing, video, and computer vision algorithms in the toolbox use an architecture appropriate for HDL implementations.
  - Wireless HDL Toolbox™ - verified, hardware-ready Simulink® blocks and subsystems for developing 5G, LTE, and custom OFDM-based wireless communication applications. It includes reference applications, IP blocks, and gateways between frame and sample-based processing.
  - ThingSpeak™ - of-concept IoT systems that require analytics.
  - hctsa - series analysis using Matlab.
  - Plotly
  - YALMIP
  - GNU Octave - level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation.
  - MATLAB Online™
  - Plotly
  - GNU Octave - level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation.
  - Parallel Computing Toolbox™ - intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs such as parallel for-loops, special array types, and parallelized numerical algorithms enable you to parallelize MATLAB® applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink® to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes.
  - hctsa - series analysis using Matlab.
C/C++ Learning Resources
- Interfaces
  - Online C Courses | Harvard University
  - C++ - platform language that can be used to build high-performance applications developed by Bjarne Stroustrup, as an extension to the C language.
  - C - purpose, high-level language that was originally developed by Dennis M. Ritchie to develop the UNIX operating system at Bell Labs. It supports structured programming, lexical variable scope, and recursion, with a static type system. C also provides constructs that map efficiently to typical machine instructions, which makes it one was of the most widely used programming languages today.
  - Embedded C - committee) to address issues that exist between C extensions for different [embedded systems](https://en.wikipedia.org/wiki/Embedded_system). The extensions hep enhance microprocessor features such as fixed-point arithmetic, multiple distinct memory banks, and basic I/O operations. This makes Embedded C the most popular embedded software language in the world.
  - C & C++ Developer Tools from JetBrains
  - Open source C++ libraries on cppreference.com
  - C++ Graphics libraries
  - C++ Libraries in MATLAB
  - C++ Tools and Libraries Articles
  - Google C++ Style Guide
  - Introduction C++ Education course on Google Developers
  - C++ style guide for Fuchsia
  - C and C++ Coding Style Guide by OpenTitan
  - Chromium C++ Style Guide
  - C++ Core Guidelines
  - C++ Style Guide for ROS
  - Learn C++
  - Learn C : An Interactive C Tutorial
  - C++ Institute
  - C++ Online Training Courses on LinkedIn Learning
  - C++ Tutorials on W3Schools
  - Learn C Programming Online Courses on edX
  - Learn C++ with Online Courses on edX
  - Learn C++ on Codecademy
  - Coding for Everyone: C and C++ course on Coursera
  - C++ For C Programmers on Coursera
  - Top C Courses on Coursera
  - C++ Online Courses on Udemy
  - Top C Courses on Udemy
  - Basics of Embedded C Programming for Beginners on Udemy
  - C++ For Programmers Course on Udacity
  - C++ Fundamentals Course on Pluralsight
  - Introduction to C++ on MIT Free Online Course Materials
  - C++ - platform language that can be used to build high-performance applications developed by Bjarne Stroustrup, as an extension to the C language.
  - C++ Tools and Libraries Articles
  - Top C Courses on Coursera
  - Introduction to C++ on MIT Free Online Course Materials
  - Introduction to C++ for Programmers | Harvard
  - Online C Courses | Harvard University
  - Introduction to C++ for Programmers | Harvard
C/C++ Tools, Libraries and Frameworks
- Interfaces
  - AWS SDK for C++
  - Visual Studio Code
  - ReSharper C++
  - CLion - platform IDE for C and C++ developers developed by JetBrains.
  - Code::Blocks
  - Conan
  - High Performance Computing (HPC) SDK
  - Boost - edge C++. Boost has been a participant in the annual Google Summer of Code since 2007, in which students develop their skills by working on Boost Library development.
  - Automake
  - Cmake - source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice.
  - GDB
  - GCC - C, Fortran, Ada, Go, and D, as well as libraries for these languages.
  - GSL - squares fitting. There are over 1000 functions in total with an extensive test suite.
  - OpenGL Extension Wrangler Library (GLEW) - platform open-source C/C++ extension loading library. GLEW provides efficient run-time mechanisms for determining which OpenGL extensions are supported on the target platform.
  - Libtool
  - Maven
  - TAU (Tuning And Analysis Utilities) - based sampling. All C++ language features are supported including templates and namespaces.
  - Clang - C, C++ and Objective-C++ compiler when targeting X86-32, X86-64, and ARM (other targets may have caveats, but are usually easy to fix). Clang is used in production to build performance-critical software like Google Chrome or Firefox.
  - OpenCV - time applications. Cross-Platform C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android.
  - Oat++ - efficient web application. It's zero-dependency and easy-portable.
  - Cython
  - Infer - C, and C. Infer is written in [OCaml](https://ocaml.org/).
  - Libcu++
C# Learning Resources
- Interfaces
  - C# - oriented programming language developed by Microsoft to write any application using the C# programming language on the .NET platform.
  - Taking your first steps with C#
  - Learning C#
  - C# development with Visual Studio
  - C# programming with Visual Studio Code
  - Working with data in C#
  - C# Tutorial by W3Schools
  - Windows Forms for .NET 5 and .NET Core 3.1
  - Advanced Topics in C# by Udemy
  - The complete C# tutorial
  - Unity C# Survival Guide
  - RabbitMQ .NET/C# Client API
  - C# - oriented programming language developed by Microsoft to write any application using the C# programming language on the .NET platform.
  - Taking your first steps with C#
  - Learning C#
  - C# development with Visual Studio
  - Working with data in C#
  - C# Tutorial by W3Schools
  - Windows Forms for .NET 5 and .NET Core 3.1
  - Xamarin documentation
C# Tools, Libraries and Frameworks
- Interfaces
  - Mono
  - Roslyn
  - Uno Platform - based code (C# and XAML) to run on iOS, Android, macOS, WebAssembly, Linux and Windows 7. It provides the full definitions of the UWP [Windows 10 2004 (19041)](https://docs.microsoft.com/en-us/windows/uwp/whats-new/windows-10-build-19041), and the implementation of a growing number of parts of the UWP API, such as Windows.UI.Xaml, to enable UWP and WinUI applications to run on these platforms.
  - Rider - platform .NET IDE devloped by JetBrains to develop .NET, ASP.NET, .NET Core, Xamarin; or Unity applications for Windows, Mac, Linux.
  - Resharper - the-fly code quality analysis for C#, VB.NET, XAML, ASP.NET, ASP.NET MVC, JavaScript, TypeScript, CSS, HTML, and XML. Letting you know right away if your code needs to be improved.
  - dotPeek
  - dotTrace
  - dotMemory
  - dotCover - the-fly which unit tests are affected by your latest code changes, and automatically re-runs the affected tests for you. The continuous testing mode can be switched on for any unit test session.
  - Json.NET - performance JSON framework for .NET.
  - .NET Fiddle
  - Octopus Deploy
  - Appveyor - based continuous integration system that integrates natively with your source control and allows CI configuration files to live alongside your projects.
  - AppHarbor - as-a-Service that let's developers deploy and scale any standard .NET application to the cloud.
  - Markdig
  - AppHarbor - as-a-Service that let's developers deploy and scale any standard .NET application to the cloud.
  - Roslyn
  - Markdig
  - ANTLR (ANother Tool for Language Recognition)
  - Visual Studio - rich application that can be used for many aspects of software development. Visual Studio makes it easy to edit, debug, build, and publish your app. By using Microsoft software development platforms such as Windows API, Windows Forms, Windows Presentation Foundation, and Windows Store.
Python Learning Resources
- Interfaces
  - Python - level programming language. Python is used heavily in the fields of Data Science and Machine Learning.
  - Python Developer’s Guide
  - Azure Functions Python developer guide - us/azure/azure-functions/functions-reference).
  - CheckiO
  - Python Institute
  - PCEP – Certified Entry-Level Python Programmer certification
  - PCAP – Certified Associate in Python Programming certification
  - Getting Started with Python in Visual Studio Code
  - MTA: Introduction to Programming Using Python Certification
  - Google's Python Style Guide
  - Google's Python Education Class
  - Real Python
  - Intro to Python for Data Science
  - Intro to Python by W3schools
  - Codecademy's Python 3 course
  - Learn Python with Online Courses and Classes from edX
  - Python Courses Online from Coursera
  - Python - level programming language. Python is used heavily in the fields of Data Science and Machine Learning.
  - Python Developer’s Guide
  - Azure Functions Python developer guide - us/azure/azure-functions/functions-reference).
  - Python Institute
  - MTA: Introduction to Programming Using Python Certification
  - Real Python
  - PCPP – Certified Professional in Python Programming 2
Python Frameworks and Tools
- Interfaces
  - Python Package Index (PyPI)
  - PyCharm
  - Django - level Python Web framework that encourages rapid development and clean, pragmatic design.
  - Flask
  - Web2py - source web application framework written in Python allowing allows web developers to program dynamic web content. One web2py instance can run multiple web sites using different databases.
  - Tornado - blocking network I/O, which can scale to tens of thousands of open connections.
  - Scrapy - level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing.
  - Sentry
  - Bottle - framework for Python. It is distributed as a single file module and has no dependencies other than the [Python Standard Library](https://docs.python.org/library/).
  - CherryPy - oriented HTTP web framework.
  - Sanic
  - Pyramid - world web application development and deployment more fun and more productive.
  - TurboGears
  - Falcon - performance Python web framework for building large-scale app backends and microservices with support for MongoDB, Pluggable Applications and autogenerated Admin.
  - Dash
  - NumPy
  - Pillow
  - IPython
  - Pandas
  - Matplotlib - quality figures in a variety of hardcopy formats and interactive environments across platforms.
  - Scikit-Learn
  - HTTPie
  - Pipenv
  - CherryPy - oriented HTTP web framework.
  - Pyramid - world web application development and deployment more fun and more productive.
  - TurboGears
  - Falcon - performance Python web framework for building large-scale app backends and microservices with support for MongoDB, Pluggable Applications and autogenerated Admin.
  - Neural Network Intelligence(NNI)
  - Dash
  - spaCy
  - Scikit-Learn
  - Flask
  - Tornado - blocking network I/O, which can scale to tens of thousands of open connections.
  - HTTPie
  - Sentry
  - CherryPy - oriented HTTP web framework.
  - Sanic
  - Pyramid - world web application development and deployment more fun and more productive.
  - TurboGears
  - Dash
  - NumPy
  - GraphLab Create - scale, high-performance machine learning models.
  - Python Tools for Visual Studio(PTVS)
Rust Learning Resources
- Interfaces
  - Rust - paradigm programming language focused on performance and safety. Rust has a comparable amount of runtime to C and C++, and has set up its standard library to be amenable towards OS development. Specifically, the standard library is split into two parts: core and std. Core is the lowest-level aspects only, and doesn't include things like allocation, threading, and other higher-level features.
  - The Rust Language Reference
  - Learning Rust
  - Why AWS loves Rust
  - Rust Programming courses on Udemy
  - Safety in Systems Programming with Rust at Standford by Ryan Eberhardt
  - WebAssembly meets Kubernetes with Krustlet using Rust
  - Microsoft's Project Verona
  - Rust - paradigm programming language focused on performance and safety. Rust has a comparable amount of runtime to C and C++, and has set up its standard library to be amenable towards OS development. Specifically, the standard library is split into two parts: core and std. Core is the lowest-level aspects only, and doesn't include things like allocation, threading, and other higher-level features.
Rust Tools, Libraries, and Frameworks
- Interfaces
  - Crater
  - Wasmer - integrations).
  - Firecracker - built for creating and managing secure, multi-tenant container and function-based services that provide serverless operational models. Firecracker runs workloads in lightweight virtual machines, called microVMs, which combine the security and isolation properties provided by hardware virtualization technology with the speed and flexibility of containers. Firecracker has also been integrated in container runtimes, for example [Kata Containers](https://github.com/kata-containers/documentation/wiki/Initial-release-of-Kata-Containers-with-Firecracker-support) and [Weaveworks Ignite](https://github.com/weaveworks/ignite).
  - Sonic - less search backend similar to Elasticsearch in some use-cases.
  - Rocket
  - Vector - performance, end-to-end (agent & aggregator) observability data platform that puts the user in control of their observability data.
  - Chalk - like logic solver.
  - stdarch - specific APIs and run-time feature detection.
  - Krustlet - and-toleration/). The project is currently experimental.
  - Firecracker - built for creating and managing secure, multi-tenant container and function-based services that provide serverless operational models. Firecracker runs workloads in lightweight virtual machines, called microVMs, which combine the security and isolation properties provided by hardware virtualization technology with the speed and flexibility of containers. Firecracker has also been integrated in container runtimes, for example [Kata Containers](https://github.com/kata-containers/documentation/wiki/Initial-release-of-Kata-Containers-with-Firecracker-support) and [Weaveworks Ignite](https://github.com/weaveworks/ignite).
  - Rocket
Rust-based Operating Systems
- Interfaces
  - Redox - like Operating System written in Rust, aiming to bring the innovations of Rust to a modern microkernel and full set of applications. Acitvely being developed by [Jeremy Soeller](https://gitlab.redox-os.org/jackpot51).
  - Tock - M and RISC-V based embedded platforms. Tock's design centers around protection, both from potentially malicious applications and from device drivers. Tock uses two mechanisms to protect different components of the operating system. First, the kernel and device drivers are written in Rust, a systems programming language that provides compile-time memory safety, type safety and strict aliasing. Tock uses Rust to protect the kernel (the scheduler and hardware abstraction layer) from platform specific device drivers as well as isolate device drivers from each other. Second, Tock uses memory protection units to isolate applications from each other and the kernel.
  - Redox - like Operating System written in Rust, aiming to bring the innovations of Rust to a modern microkernel and full set of applications. Acitvely being developed by [Jeremy Soeller](https://gitlab.redox-os.org/jackpot51).
  - Tock - M and RISC-V based embedded platforms. Tock's design centers around protection, both from potentially malicious applications and from device drivers. Tock uses two mechanisms to protect different components of the operating system. First, the kernel and device drivers are written in Rust, a systems programming language that provides compile-time memory safety, type safety and strict aliasing. Tock uses Rust to protect the kernel (the scheduler and hardware abstraction layer) from platform specific device drivers as well as isolate device drivers from each other. Second, Tock uses memory protection units to isolate applications from each other and the kernel.
Go Learning Resources
- Interfaces
Go Tools and Frameworks
- Interfaces
  - golang tools
  - Go in Visual Studio Code
  - NATS - premise, in the cloud, at the edge, and even on a Raspberry Pi. NATS can secure and simplify design and operation of modern distributed systems.
  - Fiber
Java Learning Resources
- Interfaces
Java Tools, Libraries, and Frameworks
- Interfaces
  - Java SE
  - JDK Development Tools
  - IntelliJ IDEA
  - NetBeans
  - Elasticsearch
  - RxJava - based programs by using observable sequences. It extends the [observer pattern](http://en.wikipedia.org/wiki/Observer_pattern) to support sequences of data/events and adds operators that allow you to compose sequences together declaratively while abstracting away concerns about things like low-level threading, synchronization, thread-safety and concurrent data structures.
  - Guava
  - Retrofit - safe HTTP client for Android and Java develped by Square.
  - Apache Spark - scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.
  - Apache Flink - and batch-processing capabilities with elegant and fluent APIs in Java and Scala.
  - Fastjson
  - libGDX - platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, Mac OS X, Android, your WebGL enabled browser and iOS.
  - Jenkins - source automation server. Built with Java, it provides over 1700 [plugins](https://plugins.jenkins.io/) to support automating virtually anything, so that humans can actually spend their time doing things machines cannot.
  - DBeaver - platform database tool for developers, SQL programmers, database administrators and analysts. Supports any database which has JDBC driver (which basically means - ANY database). EE version also supports non-JDBC datasources (MongoDB, Cassandra, Redis, DynamoDB, etc).
  - Redisson - Memory Data Grid. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Publish / Subscribe, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, MyBatis, RPC, and local cache.
  - GraalVM - based languages like Java, Scala, Clojure, Kotlin, and LLVM-based languages such as C and C++.
  - Gradle - language software development. From mobile apps to microservices, from small startups to big enterprises, Gradle helps teams build, automate and deliver better software, faster. Write in Java, C++, Python or your language of choice.
  - Apache Groovy - typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.
  - JaCoCo
  - Apache JMeter
  - Junit
  - Mockito
  - SpotBugs
  - SpringBoot - powered, production-grade applications and services with absolute minimum fuss. It takes an opinionated view of the Spring platform so that new and existing users can quickly get to the bits they need.
  - YourKit
  - Elasticsearch
  - Apache JMeter
  - SpringBoot - powered, production-grade applications and services with absolute minimum fuss. It takes an opinionated view of the Spring platform so that new and existing users can quickly get to the bits they need.
Swift Learning Resources
- Interfaces
Swift Tools and Frameworks
- Interfaces
  - Xcode - based CPUs and Apple Silicon. It includes a unified macOS SDK that features all the frameworks, compilers, debuggers, and other tools you need to build apps that run natively on Apple Silicon and the Intel x86_64 CPU.
  - SwiftUI
  - UIKit - Touch and other types of input to your app, and the main run loop needed to manage interactions among the user, the system, and your app.
  - AppKit
  - ARKit - reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.
  - RealityKit - performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.
  - SceneKit - level 3D graphics framework that helps you create 3D animated scenes and effects in your iOS apps.
  - Mac Catalyst
  - Instruments - analysis and testing tool that’s part of the Xcode tool set. It’s designed to help you profile your iOS, watchOS, tvOS, and macOS apps, processes, and devices in order to better understand and optimize their behavior and performance.
  - Cocoapods - C used in Xcode projects by specifying the dependencies for your project in a simple text file. CocoaPods then recursively resolves dependencies between libraries, fetches source code for all dependencies, and creates and maintains an Xcode workspace to build your project.
  - Vapor
  - Hero
  - Kingfisher - Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app.
  - Realm - C.
  - Perfect - facing and server-side applications.
  - Alamofire
  - Eureka
  - Carthage
  - ReactiveCocoa
  - Realm - C.
  - AppCode - fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages.

Programming Languages

Swift 8 Java 2 C# 1 Rust 1 Go 1 Python 1 C 1 C++ 1 HTML 1

Ecosyste.ms: Awesome

Virtualization-Emulation-Guide

Network Learning Resources

Networking Tools & Concepts

Network Protocols

Interfaces

Kubernetes Learning Resources

Interfaces

Kubernetes Tools, Frameworks, and Projects

Interfaces

Docker Learning Resources

Interfaces

Docker Tools

Interfaces

Models of FPGA Boards

Interfaces

FPGA Learning Resources

Interfaces

FPGA Tools

Interfaces

Verilog/SystemVerilog Tools

Interfaces

CUDA Tools Libraries, and Frameworks

Interfaces

Verilog/SystemVerilog Learning Resources

Interfaces

CUDA Learning Resources

Interfaces

MATLAB Learning Resources

Interfaces

MATLAB Tools, Libraries, Frameworks

Interfaces

C/C++ Learning Resources

Interfaces

C/C++ Tools, Libraries and Frameworks

Interfaces

C# Learning Resources

Interfaces

C# Tools, Libraries and Frameworks

Interfaces

Python Learning Resources

Interfaces

Python Frameworks and Tools

Interfaces

Rust Learning Resources

Interfaces

Rust Tools, Libraries, and Frameworks

Interfaces

Rust-based Operating Systems

Interfaces

Go Learning Resources

Interfaces

Go Tools and Frameworks

Interfaces

Java Learning Resources

Interfaces

Java Tools, Libraries, and Frameworks

Interfaces

Swift Learning Resources

Interfaces

Swift Tools and Frameworks

Interfaces