AkShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 13.000+ companies.

A utility for fundamentals data of China commodity futures

Implementations of Fundamental Algorithms & Data Structures in C++.

JavaScript & jQuery 첫걸음 CAMP × 패스트캠퍼스

A tutorial on stereoscopic depth maps, focusing on triangulation and rectification

Typesettings.css is a lite design system for minimal website or article design, inspired by traditional graphic design fundamentals.

Script simples para auxiliar na análise fundamentalista de ações da Bovespa. Feito usando o site (http://www.fundamentus.com.br/resultado.php). Praticamente tudo o que ele faz já pode ser feito pelo pela busca avançada do site. Escrito como exercício de programação e para filtrar dados também com indicadores personalizados.

Learning The Fundamental of Typescript Such As Basic Data Types, Class, Enum, Function, Array, etc.

Data Preprocessing in Python and R

Principles of Computer Science and Programming

A very useful collection of Jupyter Notebooks, which aims to introduce the Python programming language.

🎖🎖Spring+SpringMVC+MyBatis

Fully functional website project with feature of photo hosting and share

Belajar Java Basic https://rosyid-grobogan.github.io/belajar-java-fundamental/

Sample project for Fundamental-react

Front-end Fundamentals - Srcset & Sizes Attributes For Images Companion Code

task school

NLS algorithm for estimation has been implemented successfully and has provided good estimates for all range of frequencies. It has also been tested for different sampling frequencies and this estimator is better compared to autocorrelation method as it doesn’t require any pre-processing. The NLS method is statistically efficient if the noise is modelled as white and Gaussian and much more accurate than the autocorrelation based methods. But a drawback of this algorithm is that it takes time to calculate the cost function matrix as it involves matrix multiplication with an inverse matrix. This method can be made faster if implemented using recursive solver for Toeplitz-plus-Hankel systems for computing NLS cost function.

Workshop Fundamental Node.js

Python Fundamental Exam at JCDS Purwadhika

Materi fundamental study group frontend - javascript dom

Python Fundamental Exam at JCDS Purwadhika

PHP Fundamental

Belajar Fundamental Aplikasi Android Submission 2 - Github User

OpenGL example based on the work by Marten Chirsten (2007). Adapted for my lectures

Basic of go

My algorithm practices.