Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.

:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

A Data Structure Algorithms Low Level Design and High Level Design collection of resources.

📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

Resources to Learn Data Structures and Algorithms, ace competitive programming, Get a Job in Tech/CS

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

A curated list of various semantic web and linked data resources.

A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs

Curated Data Science resources (Free & Paid) to help aspiring and experienced data scientists learn, grow, and advance their careers.

scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.

Resources for visualizing data using C# and the .NET platform

Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources

🚀 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

Welcome to the Data Science EBooks repository! This collection offers a variety of high-quality ebooks on Data Science, Machine Learning, and AI. Perfect for both beginners and advanced learners, explore these resources to deepen your knowledge and skills.

Collection of papers and resources for data augmentation for NLP.

Workload Discovery on AWS is a solution to visualize AWS Cloud workloads. With it you can build, customize, and share architecture diagrams of your workloads based on live data from AWS. The solution maintains an inventory of the AWS resources across your accounts and regions, mapping their relationships and displaying them in the user interface.

Functions and classes to access online data resources. Maintainers: @keflavich and @bsipocz

Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.

Inferno® is a distributed operating system. Inferno represents services and resources in a file-like name hierarchy, including devices, network and protocol interfaces, dynamic data sources, and services.Applications are written in a concurrent programming language, Limbo.

All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

PostgreSQL Monitoring, Metrics Collection and Alerting Resources from Crunchy Data

Resources for working with time series and sequence data

A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

Get started with SQL database programming. This beginner's guide provides step-by-step tutorials, practical examples, exercises, and resources to master SQL. Let's unlock the power of data with SQL!

GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz