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Science","Frontend Development","Web","Database","Backend Development","Technical Blog","E-Book","Cloud Infrastructure","Technical Vlog","IOTG"],"sub_categories":["Web Hosting","Data","Frontend Other Notes","Machine Learning","Structured Query Language","Domain Specific","Visualization","DevOps","REST","Backend Other Notes","Monitoring","Basic Stack","Data Science Other Notes","Data Science Environment","ML Ops","Package Management","Data Format","Command Line","Security","Cloud Provider","Cloud Other Notes","Software Architecture","Deployment"],"readme":"# Awesome Data Science Development [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)\nA continual adding list of libraries, frameworks, softwares and tools used in data science.\n\n\nTable of Contents\n-----------------\n\n- [Data Science](#data-science)\n  - [Machine Learning](#machine-learning) \n  - [ML Ops](#ml-ops)\n  - [Visualization](#visualization)\n  - [Package Management](#package-management)\n  - [Domain Specific](#domain-specific)\n  - [Data Science Environment](#data-science-environment)\n  - [Data](#data)\n  - [Other Notes](#data-science-other-notes)\n- [Backend Development](#backend-development)\n  - [Roadmap](#backend-development-roadmap) \n  - [Software Architecture](#software-architecture)\n  - [REST](#rest) \n  - [Message Queue](#message-queue) \n  - [Version Control](#version-control-system) \n  - [Git-Based Hosting Platform](#git-based-code-hosting-platform)\n  - [DevOps](#devops)\n  - [Monitoring](#monitoring)\n  - [Code Analysis](#code-analysis)\n  - [Robotic Process Automation](#robotic-process-automation)\n  - [Data Format](#data-format)\n  - [Command Line](#command-line)\n  - [Deployment](#deployment)\n  - [Security](#security)\n  - [Programming](#programming)\n  - [Other Notes](#backend-other-notes)\n- [Database](#database)\n  - [Structured Query Language](#structured-query-language)\n  - [ERD Diagram Tool](#erd-diagram-tool)\n  - [Data Warehouse](#data-warehouse)\n- [Cloud Infrastructure](#cloud-infrastructure)\n  - [Cloud Provider](#cloud-provider)\n  - [Other Notes](#cloud-other-notes)\n- [Frontend Development](#frontend-development)\n  - [Basic Stack](#basic-stack)\n  - [Frontend Library](#frontend-library)\n  - [Frontend Framework](#frontend-framework)\n  - [IDE](#frontend-ide)\n  - [Other Notes](#frontend-other-notes)\n- [Web](#web)\n  - [Web Hosting](#web-hosting)\n- [IOTG](#iotg)\n- [Business Intelligence](#business-intelligence)\n- [Book](#e-book)\n- [Course](#course)\n- [Technical Blog](#technical-blog)\n- [Technical Vlog](#technical-vlog)\n\n\n## Data Science\n\n### Machine Learning\n\n**Machine Learning Library**\n\n| Python Libraries |\n| ---------------------  |\n| [NumPy _Multi Dimensional Array Processing_ ](https://numpy.org/doc/stable/user/whatisnumpy.html)|\n| [Scipy _Scientific Library for Python_](https://docs.scipy.org/doc/scipy/reference/) |\n| Pandas _Data Manipulation \u0026 Analysis_ |\n| [Scikit-Learn _Machine Learning Library_](https://scikit-learn.org/stable/) |\n| Matplotlib _Data Visualization_ |\n| Seaborn _Data Visualization with Matplotlib_ |\n| Wandb _ML Visualization_ |\n| [Prefect _Data Automation_ ](https://github.com/PrefectHQ/prefect) |\n| [OpenCV](https://pypi.org/project/opencv-python/) |\n| [Pillow](https://github.com/python-pillow/Pillow) |\n| [FlashLight](https://github.com/flashlight/flashlight) |\n| [statsmodel _Statistical modeling and econometrics in Python_](https://github.com/statsmodels/statsmodels) |\n| [Numpy_ml _Machine Learning, in Numpy_](https://github.com/ddbourgin/numpy-ml)|\n| [HuggingFace _NLP Oriented \u0026 Model HuB_](https://huggingface.co/) |\n| [Augly _Data Augmentation_](https://github.com/facebookresearch/AugLy) |\n| [Cleverhans _Benchmark ML System to Adversarial Examples_](https://github.com/cleverhans-lab/cleverhans) |\n| [Foolbox _Run adversarial attacks against ML models_](https://github.com/bethgelab/foolbox) |\n\n| Deep Learning Frameworks |\n| ---------------------  |\n| Pytorch |\n| [Pytorch Video](https://github.com/facebookresearch/pytorchvideo) |\n| Tensorflow 1 / 2 |\n| [Flax](https://github.com/google/flax) |\n| Keras |\n| Eclipse DeepLearning4j |\n\n| Neural Network Optimization |\n| ---------------------  |\n| TensorRT |\n\n| Data, Model Probing | \n| ---------------------  |\n| [What-If Tool](https://pair-code.github.io/what-if-tool/)\n\n**Auto ML**\n\n| Auto ML | \n| ---------------------  |\n| [H20 AutoML](https://www.h2o.ai/products/h2o-automl/) |\n\n### ML Ops\n\n| Model Serving |\n| ---------------------  |\n| FAST API |\n| Flask |\n| Tensorflow Serving |\n| [TorchServe (Experimental)](https://github.com/pytorch/serve)\n| [KbServing](https://www.kubeflow.org/docs/components/serving/kfserving/)  |\n\n| Other  |\n| ---------------------  |\n| [Tensorflow Extended (TFX) _Google-production-scale ML platform_](https://www.tensorflow.org/tfx) |\n\n\n### Visualization\n\n| Dashboard, Data Exploration \u0026 Visualization  |\n| ---------------------  |\n| [Apache Superset _Data Exploration and Visualization_](https://superset.apache.org/) |\n| [Grafana](https://grafana.com/) |\n| Prometheus _Monitoring System and Time Series Database_ |\n| Looker _Data Analytics Platform_ |\n| Google Data Studio |\n\n### Package Management\n\n**Python** \n\n| Python | Notes |\n| ---------------------  | ---------------------  |\n| Anaconda / Miniconda | [Common Commands](https://gist.github.com/codenamewei/a1ac37a4d94264bac9517a306116f0e3)\n| Pip | [Virtualenv and pip](https://docs.python.org/3/tutorial/venv.html) |\n\n| Java |\n| ---------------------  |\n| Apache Maven |\n| Gradle |\n\n### Domain Specific\n\n| Text Detector  |\n| ---------------------  |\n| [EAST: An Efficient and Accurate Scene Text Detector CVPR 2017](https://paperswithcode.com/paper/east-an-efficient-and-accurate-scene-text) |\n \n| OCR  |\n| ---------------------  |\n| [EasyOCR](https://github.com/JaidedAI/EasyOCR) |\n\n| Speech Recognition  |\n| ---------------------  |\n| [Top 5 OSS Library](https://medium.com/analytics-vidhya/top-5-speech-recognition-open-source-projects-and-libraries-with-most-stars-on-github-d705408b834) |\n\n| Time Series  |\n| ---------------------  |\n| [Forecasting: Principles and Practice](https://otexts.com/fpp3/) |\n\n### Data Science Environment \n\n| Python  |\n| ---------------------  |\n| [Google Colab](https://colab.research.google.com/notebooks/intro.ipynb) |\n| [Deepnote](https://deepnote.com/home) |\n| Jupyter Notebook / [Jupyter Lab](https://github.com/mauhai/awesome-jupyterlab) / [Jupyter Lite](https://github.com/jtpio/jupyterlite)(Data Science)|\n| [Polynote](https://github.com/polynote/polynote) |\n\n### Data\n| Data  |\n| ---------------------  |\n| [A Beginner Guide's To Data](https://jameskle.com/writes/beginner-guide-to-data)  |\n\n| Dataset  |\n| ---------------------  |\n| [Awesome Data](https://github.com/datasets/awesome-data)  |\n| [Awesome Public Dataset](https://github.com/awesomedata/awesome-public-datasets)  |\n\n### Data Science Other Notes\n\n| Other Notes |\n| ---------------------  |\n| [Jupyter Docker _Data Science Notebooks in Docker image_](https://github.com/jupyter/docker-stacks) |\n| [Clean Code for Data Science Workflow](https://www.youtube.com/watch?v=Edn6XxWmtEs\u0026list=PLO9pkowc_99ZhP2yuPU8WCfFNYEx2IkwR\u0026index=3) |\n| [Netron _Neural Network Visualization_](https://netron.app/)|\n\n\n## Backend Development\n\n### Backend Development Roadmap\n| Overview |\n| ---------------------  |\n| https://roadmap.sh/backend |\n\n### Software Architecture\n| Software Architecture |\n| ---------------------  |\n| Service-Oriented (SOA) |\n| [Microservices](https://github.com/ivan-bilan/The-Microservices-Pandect) |\n\n| Other Notes |\n| ---------------------  |\n| [Domain Driven Hexagon](https://github.com/Sairyss/domain-driven-hexagon) |\n\n### REST\n\n| REST |\n| ---------------------  |\n| [Representational State Transfer (REST) Architectural Style](https://www.vinaysahni.com/best-practices-for-a-pragmatic-restful-api) |\n\n| REST API Reference |\n| ---------------------  |\n| [Github](https://developer.github.com/v3/) |\n| [Stripe](https://stripe.com/docs/api) |\n\n| Others  |\n| ---------------------  |\n| Postman _API Testing Platform_ |\n| Swagger _REST API Documentation_ |\n\n\n### Message Queue\n\n| Message Queue | Notes |\n| ---------------------  | ---------------------  |\n| RabbitMQ | |\n| Kafka | - https://bit.ly/2JZH45D\u003cbr /\u003e- https://jaceklaskowski.gitbooks.io/apache-kafka/content/ |\n\n### Version Control System\n\n| Version Control System  |\n| ---------------------  |\n| Git |\n\n### Git-Based Code Hosting Platform\n\n| Git-based Code Hosting Platform  |\n| ---------------------  |\n| Github |\n| Gitlab |\n| Bitbucket |\n\n### DevOps\n\n| DevOps, CI/CD |\n| ---------------------  |\n| [Github Actions](https://lab.github.com/githubtraining/github-actions:-hello-world) |\n| [CircleCI](https://circleci.com/)\n| Jenkins |\n| Ansible |\n| Azure DevOps |\n\n### Monitoring\n\n| DevOps, CI/CD |\n| ---------------------  |\n| [Datadog](https://www.datadoghq.com/) |\n\n### Code Analysis\n\n| Code Analysis |\n| ---------------------  |\n| SonarQube |\n| SonarCloud |\n| SonarLint |\n\n### Robotic Process Automation\n\n| Robotic Process Automatic (RPA)|\n| ---------------------  |\n| UiPath |\n| Automation Anywhere |\n\n### Data Format \n\n| Data Format|\n| ---------------------  |\n| XML |\n| [Javascript Object Notation (JSON)](https://www.tutorialspoint.com/json/index.htm) |\n| [Base 64 Encoded String](https://bit.ly/2H2W0hT) |\n\n### Command Line\n\n| Command Line|\n| ---------------------  |\n| [Learn CLI The Hard Way](https://cglab.ca/~morin/teaching/1405/clcc/book/cli-crash-course.html)\n| [The Art Of Command Line](https://github.com/jlevy/the-art-of-command-line) |\n\n\n### Deployment\n\n| Containerization  |\n| ---------------------  |\n| [Docker](https://docs.docker.com/get-started/) |\n\n| Scaling  |\n| ---------------------  |\n| Docker Swarm |\n| Kubernetes |\n\n### Security\n\n| General  |\n| ---------------------  |\n| Hashing |\n| Encryption |\n| [OAuth](https://www.csoonline.com/article/3216404/what-is-oauth-how-the-open-authorization-framework-works.html) |\n\n| Authentication Token  |\n| ---------------------  |\n| [JSON Web Token (JWT)](https://jwt.io/introduction) |\n| Simple Web Token (SWT) |\n| Security Assertion Markup Language Token (SAML) |\n\n### Programming\n\n| Python | Resources|\n| ---------------------  | ---------------------  |\n| Unstructured | - https://github.com/vinta/awesome-python\u003cbr /\u003e- https://github.com/faif/python-patterns\u003cbr /\u003e- https://uwpce-pythoncert.github.io/SystemDevelopment/advanced_oo.html\u003cbr /\u003e- https://medium.com/@yong.cui01 |\n| Clean Code | - https://github.com/zedr/clean-code-python\u003cbr /\u003e- https://www.amazon.com/Clean-Code-Python-maintainable-efficient/dp/1800560214 |\n\n| Language | IDE |\n| ---------------------  | ---------------------  |\n| Java | - Intellij Community / Ultimate (Paid) |\n| Python | - PyCharm\u003cbr /\u003e- Visual Studio Code|\n\n| Algorithm Performance  |\n| ---------------------  |\n| Big O Notation |\n\n| Others | Resources |\n| ---------------------  | ---------------------  |\n| Programming Practice Platform | - https://www.hackerrank.com/ |\n\n### Backend Other Notes\n\n| Other Notes |\n| ---------------------  |\n| [How to deal with breaking changes](https://nordicapis.com/what-are-breaking-changes-and-how-do-you-avoid-them/) |\n| [Keep a change log](https://keepachangelog.com/en/1.0.0/) |\n| [Semantic Versioning](https://semver.org/) |\n| [Readme.so _Easy to structure readme_](https://readme.so/editor) |\n## Database \n\n### Structured Query Language\n\n| Structured Query Language |\n| ---------------------  |\n| [MySQL](https://www.mysqltutorial.org/) |\n| [PostgreSQL](https://www.postgresql.org/) |\n\n### ERD Diagram Tool\n\n| ERD Diagram Tool |\n| ---------------------  |\n| Diagram.net |\n| DbDesigner.net |\n| SqlDbm |\n| DbDiagram.io |\n| Visual Paradigm |\n| DbSchema |\n\n### Data Warehouse \n\n| Data Warehouse |\n| ---------------------  |\n| Apache Hive  |\n\n## Cloud Infrastructure\n\n### Cloud Provider\n\n| Cloud Provider |\n| ---------------------  |\n| AWS |\n| Google Cloud Platform |\n| Microsoft Azure |\n| [Naver Cloud](https://www.ncloud.com/) |\n\n### Cloud Other Notes\n| Other Notes |\n| ---------------------  |\n|[Server Setup Guidelines](https://www.digitalocean.com/community/tutorials/5-common-server-setups-for-your-web-application)|\n\n## Frontend Development\n\n### Basic Stack\n\n| Basic Stack| Functionality |\n| ---------------------  | ---------------------  |\n| HTML | Content Layer |\n| CSS | Presentation Layer |\n| JavaScript | Interactive Layer |\n\n| Javascript |\n| ---------------------  |\n| [Understanding ECMAScript 6](https://leanpub.com/understandinges6/read)\u003cbr /\u003e-[Github es6features](https://github.com/lukehoban/es6features#readme)|\n\n| Typescript |\n| ---------------------  |\n| [TypeScript From Scratch](https://www.typescriptlang.org/docs/handbook/typescript-from-scratch.html)|\n| [Awesome Typescript 1](https://github.com/dzharii/awesome-typescript)|\n| [Awesome Typescript 2](https://github.com/semlinker/awesome-typescript)|\n\n### Frontend Library\n\n| Name | Library |\n| ---------------------  | ---------------------  |\n| React | Javascript Library |\n\n### Frontend Framework\n\n| Name | Framework |\n| ---------------------  | ---------------------  |\n| Angular | Typescript framework |\n| VueJS | Javascript framework |\n\n### Frontend IDE\n\n| Language | IDE |\n| ---------------------  | ---------------------  |\n| JavaScript/TypeScript | - Visual Studio Code\u003cbr /\u003e - JetBrains WebStorm (Paid) |\n\n\n### Frontend Other Notes\n| Name | Functionality |\n| ---------------------  | ---------------------  |\n| [Electron](https://github.com/electron/electron)| Cross Platform Desktop Application |\n\n## Web\n\n### Web Hosting\n\n| Web Hosting  |\n| ---------------------  |\n| [Github Pages _Hosting with Github_](https://pages.github.com/)\n| [Streamlit _Web Hosting with Python, focusing on Data Science_](https://streamlit.io/)\n## IOTG\n\n| Edge Device | \n| ---------------------  | \n| Raspberry Pi | \n| Nvidia Jetson TX1, Nano, TX2, Xavier | \n\n| Application | Functionality |\n| ---------------------  | ---------------------  |\n| [Thingsboard](https://github.com/thingsboard/thingsboard) | IOT data collection, processing and visualization |\n\n\n## Business Intelligence\n\n| Business Intelligence Tool |\n| ---------------------  |\n| Excel |\n| Google Data Studio |\n| Power BI |\n| Tableau |\n\n## E-Book \n\n| Data Science  |\n| ---------------------  |\n| [Designing Data Intensive Applications](https://github.com/Yang-Yanxiang/Designing-Data-Intensive-Applications) |\n| [Rules for Machine Learning, Best Practices for ML Engineering](https://drive.google.com/file/d/1JerUZwcMV6se8u-JkERVENgAVnTgdf5j/view?usp=sharing) |\n| [Web Scraping With Python](https://drive.google.com/file/d/1Yg8fLmdLBWVot9lOZ6JrWeX4bqCvIKoM/view?usp=sharing) |\n| [Practical AI on the Google Cloud Platform](https://drive.google.com/file/d/1_vXUazysEG9EzXadvGWV5PiByy_54C4v/view?usp=sharing) |\n| [Full Stack Deep Learning](https://fall2019.fullstackdeeplearning.com/) |\n| [Principle of Data Wrangling](https://drive.google.com/file/d/1esVWOzVoitAayixFhAGMOXNvz2fPSWHX/view?usp=sharing) |\n| [Python for Data Analysis](https://drive.google.com/file/d/1fyQ5WpDhOeFBidpTo26lDAT8nc70EtvE/view?usp=sharing) |\n| [Data Science Cheatsheet](https://drive.google.com/file/d/17HW8Y44PFIoVevIbs2B_uzuMJ7IIVjOg/view?usp=sharing) |\n| [Data Cleaning](https://drive.google.com/file/d/1l8rXcxpFNrBg9mmIl7DGjN9KjRVkJ28U/view?usp=sharing) |\n| [Approaching Almost Any Machine Learning Problem](https://github.com/abhi1thakur/approachingalmost) |\n\n| Data Science (Domain Specific) |\n| ---------------------  |\n| [Python For Finance](https://drive.google.com/file/d/1hWBiUiZiYf9CeFnDe5_K11IHmwujutYX/view?usp=sharing) |\n\n| Programming  |\n| ---------------------  |\n| [Java Notes for Professionals](https://www.computer-pdf.com/programming/java/830-tutorial-java-notes-for-professionals-book.html) |\n\n| Database |\n| ---------------------  |\n| [MySQL_NotesForProfessional](https://drive.google.com/file/d/1DOvXKckGNXqety0-1WQybPzbhKenlHnJ/view?usp=sharing) |\n\n\n## Course\n\n**Computer Science**\n\n| Computer Science  |\n| ---------------------  |\n| [Awesome CS Courses](https://github.com/prakhar1989/awesome-courses) |\n| [The missing CS semester](https://missing.csail.mit.edu/) |\n| [Deep Dive Into Modern Web Development](https://fullstackopen.com/en/) |\n| [Stanford Python Numpy Tutorial](https://cs231n.github.io/python-numpy-tutorial/)|\n\n**Cybersecurity**\n\n| Cybersecurity |\n| [Cloudfare](https://www.cloudflare.com/en-gb/learning/) |\n| [How HTTP works](https://howhttps.works/) |\n\n**Data Science**\n\n| Deep Learning | \n| ---------------------  |\n| [Practical Deep Learning for Coders](https://course.fast.ai/)\n\n| Computer Vision | \n| ---------------------  |\n| [Convolutional Neural Network for Visual Recognition CS231n](https://cs231n.github.io/)\n\n| NLP |\n| ---------------------  |\n| [Hugging Face Course](https://huggingface.co/course) |\n| [Stanford NLP CS224n](http://web.stanford.edu/class/cs224n) |\n| [The NLP Pandect](https://github.com/ivan-bilan/The-NLP-Pandect) |\n\n| Hands On Learning | \n| ---------------------  |\n| [Qwiklabs _Hand On Cloud Training_](https://www.qwiklabs.com/) |\n\n\n## Technical Blog\n\n| Software Engineering |\n| ---------------------  |\n| [NormCore Tech](https://vicki.substack.com/) |\n| [Linked In Engineering](https://engineering.linkedin.com/blog) |\n| [Dropbox Tech](https://dropbox.tech/)\n| [Uber Engineering Tech](https://eng.uber.com/category/articles/)\n| [Github](https://github.blog/) |\n| [Microsoft](https://www.microsoft.com/en-us/research/blog/) |\n| [Gojek Tech](https://blog.gojek.io/) |\n| [Netflix Tech](https://netflixtechblog.com/) |\n| [fast.ai](https://www.fast.ai/) |\n\n\n| Data Science |\n| ---------------------  |\n| [Google AI Blog](https://ai.googleblog.com/)\n| [Facebook AI](https://ai.facebook.com/) |\n| [Landing AI](https://landing.ai/developer/) |\n| [DeepMind AI](https://deepmind.com/blog) |\n| [Cleverhands _Security \u0026 Privacy in ML_](http://www.cleverhans.io/) |\n| [DataRobot Wiki](https://www.datarobot.com/wiki/) |\n| [SOCAR (In Korean)](https://tech.socarcorp.kr/posts/) |\n| [ZZSZA (In Korean)](https://zzsza.github.io/)\n\n\n## Technical Vlog\n\n| Software Engineering |\n| ---------------------  |\n| [Joma Tech](https://www.youtube.com/channel/UCV0qA-eDDICsRR9rPcnG7tw) |\n| [승지니어 Sengineer (In Korean)](https://www.youtube.com/channel/UCW4ixpFivk6eJl8b5bFOLkg) |\n\n\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/praneshkrishnan%2Fawesome-data-science-development/projects"}