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A curated list of awesome places to learn and/or practice algorithms.
Header-Only C++ Library for Graph Representation and Algorithms
🚀 Kick-start your C++! A template for modern C++ projects using CMake, CI, code coverage, clang-format, reproducible dependency management and much more.
The MPLAPACK: multiple precision version of BLAS and LAPACK
A fast and flexible C++ simulation engine and differential equation solver.
Extremely fast, in memory, JSON and interface library for modern C++
Julia for High Performance Computing Course @ HLRS
Python books free to read online or download
Minimal examples of data structures and algorithms in Python
Always know what to expect from your data.
A parallel application binary interface for Fortran 2018 compilers.
Course materials for PRACE Introduction to Spark for Data Scientists.
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
A template directory structure for a Fortran project using CMake as the build system.
Parallel Fortran Unit Testing Framework
dplyr-style piping operations for pandas dataframes
A beautiful and useful prompt for your shell
Visualizer for neural network, deep learning and machine learning models
Code for a tutorial on Bayesian Statistics by Allen Downey.
A tool for use with clang to analyze #includes in C and C++ source files
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
Fortran 2018 standard examples with broad applications
Dim (/dɪm/; a contraction of Default IMproved) is a clone of Vim’s default colorscheme, with some improvements.
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files