Virtualization-Emulation-Guide

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

Last synced: 4 days ago
JSON representation

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
- 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
- Google Cloud Certified Professional Cloud Security Engineer
- Cybersecurity Courses and Certifications by Offensive Security
- Citrix Certified Associate – Networking(CCA-N)
- Citrix Certified Professional – Virtualization(CCP-V)
- Cisco Security Certifications
- Juniper Networks Certification Program Enterprise (JNCP)
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
Kubernetes Learning Resources
- Interfaces
Kubernetes Tools, Frameworks, and Projects
- Interfaces
  - Amazon EKS
  - AWS Controllers for Kubernetes (ACK) - available Kubernetes applications that utilize AWS services.
  - 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.
  - 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.
  - 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.
  - Containerd - level storage to network attachments and beyond. It is available for Linux and Windows.
  - 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.
  - Kata Operator
  - OpenShift Hive
  - VMware Tanzu
  - KubeInit
  - Rancher
  - K3s - constrained, remote locations or inside IoT appliances.
  - Charmed Kubernetes - key, conformant Kubernetes platform, optimized for your multi-cloud environments developed by Canonical.
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
  - Podman
  - Buildah
  - Open Container Initiative
  - Docker Desktop
  - Docker Containers
Models of FPGA Boards
- Interfaces
FPGA Learning Resources
- Interfaces
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.
  - Apio - built packages, project configuration tools and easy command interface to verify, synthesize, simulate and upload your verilog designs.
  - IceStorm
  - FuseSoC - winning package manager and a set of build tools for HDL (Hardware Description Language) code and FPGA/ASIC development.
  - OpenWiFi - source IEEE802.11/Wi-Fi baseband chip/FPGA design.
  - PipeCNN - based FPGA Accelerator for Large-Scale Convolutional Neural Networks (CNNs). Currently, there is a growing trend among developers in the FPGA community to utilize High Level Synthesis (HLS) tools to design and implement customized circuits on FPGAs.
  - Tock - M and RISC-V based embedded platforms. Tock's design centers around protection, both from potentially malicious applications and from device drivers.
  - OpenTimer - Performance Timing Analysis Tool for VLSI Systems.
  - The Eclipse Embedded CDT - ins for Arm & RISC-V C/C++ developers.
  - Unicorn - platform, multi-architecture CPU emulator framework(ARM, AArch64, M68K, Mips, Sparc, X86) based on [QEMU](https://www.qemu.org/).
  - Keystone - platform, multi-architecture(Arm, Arm64, Hexagon, Mips, PowerPC, Sparc, SystemZ & X86) assembler framework.
  - Reko
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.
  - 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.
  - EDA Playground
  - 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.
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.
  - 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.
  - 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-X HPC - X HPC includes highly tuned kernels essential for high-performance computing (HPC).
  - NVIDIA Container Toolkit - container) and utilities to automatically configure containers to leverage NVIDIA GPUs.
  - CUTLASS - performance matrix-multiplication (GEMM) at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS.
  - CUB
  - Tensorman
  - Numba - aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.
  - cuML - learn.
  - Thrust - level interface greatly enhances programmer productivity while enabling performance portability between GPUs and multicore CPUs.
  - Arraymancer - dimensional array) project in Nim. The main focus is providing a fast and ergonomic CPU, Cuda and OpenCL ndarray library on which to build a scientific computing ecosystem.
  - Kintinuous - time dense visual SLAM system capable of producing high quality globally consistent point and mesh reconstructions over hundreds of metres in real-time with only a low-cost commodity RGB-D sensor.
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 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™
  - 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™
  - ROS 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.
  - 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.
  - MATLAB Schemer
  - LRSLibrary - Rank and Sparse Tools for Background Modeling and Subtraction in Videos. The library was designed for moving object detection in videos, but it can be also used for other computer vision and machine learning problems.
  - 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.
  - SEA-MAT
  - Gramm - level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
  - 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.
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
  - Chromium C++ Style Guide
  - C++ Core Guidelines
  - C++ Style Guide for ROS
  - Learn C++
  - Learn C : An Interactive C Tutorial
  - 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
  - Introduction to C++ for Programmers | Harvard
  - 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
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/).
  - Azure SDK for C++
  - Azure SDK for C
  - C++ Client Libraries for Google Cloud Services
  - Vcpkg
  - CppSharp
  - JavaCPP
  - Spdlog - only/compiled, C++ logging library.
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.
  - C# development with Visual Studio
  - C# Tutorial by W3Schools
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.
  - 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.
  - MSBuild
  - Bot Framework - source, visual authoring canvas for developers and multi-disciplinary teams to design and build conversational experiences with Language.
  - Quasar - weight remote administration tool coded in C#. The usage ranges from user support through day-to-day administrative work to employee monitoring. Providing high stability and an easy-to-use user interface, Quasar is the perfect remote administration solution for you.
  - CodeMaid
  - AutoRest - Specification) format. It Supports C#, PowerShell, Go, Java, Node.js, TypeScript, Python, Ruby.
  - Markdig
Python Learning Resources
- Interfaces
Python Frameworks and Tools
- Interfaces
  - Python Package Index (PyPI)
  - PyCharm
  - Django - level Python Web framework that encourages rapid development and clean, pragmatic design.
  - 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.
  - CherryPy - oriented HTTP web framework.
  - Falcon - performance Python web framework for building large-scale app backends and microservices with support for MongoDB, Pluggable Applications and autogenerated Admin.
  - Pillow
  - IPython
  - Pandas
  - Matplotlib - quality figures in a variety of hardcopy formats and interactive environments across platforms.
  - Scikit-Learn
  - Pyramid - world web application development and deployment more fun and more productive.
  - TurboGears
  - Python Tools for Visual Studio(PTVS)
  - Python Tools for Visual Studio(PTVS)
  - Pylance
  - Pyright
  - AWS Chalice
  - Pipenv
  - Python Fire
  - 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/).
  - Sanic
  - Neural Network Intelligence(NNI)
  - Luigi - in.
  - Locust
  - spaCy
  - PuLP
Rust Learning Resources
- Interfaces
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).
  - 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.
  - Cargo
  - VSCode-Rust - either by the official Rust Language Server (RLS) or rust-analyzer, depending on the user's preference. If you don't have it installed, the extension will install it for you (with permission). This extension is built and maintained by the Rust IDEs and editors team with the focus on providing a stable, high quality extension that makes the best use of the respective language server.
  - Apache Arrow - memory analytics. It contains a set of technologies that enable big data systems to process and move data fast. Arrow's libraries are available for C, C++, C#, Go, Java, JavaScript, MATLAB, Python, R, Ruby, and Rust.
  - Tokio - driven, non-blocking I/O platform for writing asynchronous applications with the Rust programming language.
  - TiKV - source distributed transactional key-value database that also provides classical key-vlue APIs, but also transactional APIs with ACID compliance.
  - Hyper
  - Rocket
  - Clippy
  - Servo
  - RustPython
  - Miri - level intermediate representation. It can run binaries and test suites of cargo projects and detect certain classes of undefined behavior. Miri will alsowill also tell you about memory leaks: when there is memory still allocated at the end of the execution, and that memory is not reachable from a global static, Miri will raise an error.
  - Simpleinfra
  - Rustlings
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).
  - Bottlerocket OS - source Linux-based operating system meant for hosting containers. Bottlerocket focuses on security and maintainability, providing a reliable, consistent, and safe platform for container-based workloads.
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
  - Traefik
  - Gitea - hosted git service. Using Go, this can be done with an independent binary distribution across all platforms which Go supports, including Linux, macOS, and Windows on x86, amd64, ARM and PowerPC architectures.
  - OpenFaaS - driven functions and microservices to Kubernetes without repetitive, boiler-plate coding. Package your code or an existing binary in a Docker image to get a highly scalable endpoint with auto-scaling and metrics.
  - micro - based text editor that aims to be easy to use and intuitive, while also taking advantage of the capabilities of modern terminals. As its name indicates, micro aims to be somewhat of a successor to the nano editor by being easy to install and use. It strives to be enjoyable as a full-time editor for people who prefer to work in a terminal, or those who regularly edit files over SSH.
  - Gravitational Teleport - over-HTTPS in a browser or Kubernetes clusters.
  - Act
  - Glide
  - BadgerDB - value (KV) database written in pure Go. It is the underlying database for [Dgraph](https://dgraph.io/), a fast, distributed graph database. It's meant to be a performant alternative to non-Go-based key-value stores like RocksDB.
  - Go kit
  - Codis
  - zap
  - HttpRouter
  - Gorilla WebSocket
  - Delve
  - GORM
  - Go Patterns
Java Learning Resources
- Interfaces
Java Tools, Libraries, and Frameworks
- Interfaces
  - Java SE
  - JDK Development Tools
  - IntelliJ IDEA
  - 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
  - Junit
  - Mockito
  - SpotBugs
  - YourKit
  - Java Design Patterns
  - Elasticsearch
  - okhttp
  - LeakCanary
  - 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.
Swift Learning Resources
- Interfaces
  - Swift - C.
  - Xcode + Swift
  - Swift 5.3 Basics
  - Apple Developer Documentation
  - Apple Foundation Framework
  - Apple Core Animation Framework
  - Apple Core Graphics Framework
  - Virtualization Framework
  - Paravirtualized Graphics Framework
  - Getting Started with LLDB
  - Mac Catalyst - iOS - Human Interface Guidelines
  - Amazon EC2 Mac Instances
  - Apple Developer Forums
  - Swift Forums
  - Swift Courses Online from Coursera
  - Swift Courses Online from Udemy
  - Learning Swift course from Codecademy
  - Swift - C.
  - Swift Evolution - visible enhancements to the Swift Programming Language.
  - Swift GitHub
  - Google's Swift Style Guide
Swift Tools and Frameworks
- Interfaces
  - 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.
  - 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.
  - Perfect - facing and server-side applications.
  - Alamofire
  - Eureka
  - Carthage
  - ReactiveCocoa
  - 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.
  - 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.
  - Realm - C.

Programming Languages

Go 17 Python 17 Rust 13 C++ 10 Swift 8 C# 7 C 6 Java 4 MATLAB 3 Kotlin 2

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