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A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing
A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing
Python for Finance module for Imperial MSc in Mathematics and Finance
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
📚 Freely available programming books
Courses, Articles and many more which can help beginners or professionals.
Data structures and algorithms are fundamental concepts in computer science and programming.Data structures are ways of organizing and storing data, and algorithms are step-by-step procedures for s…
Top ideas for a particular compmay to build some crazy projects.
Source code and all the details for the Ultimate Python Course on CodeWithHarry channel
Machine Learning Tutorials in Python
Python wrapper for TA-Lib (http://ta-lib.org/).
Financial data platform for analysts, quants and AI agents.
Python training for business analysts and traders
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These vide…
Adversarial Lab is a comprehensive Python library designed for launching adversarial attacks on any machine learning model.
An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
Simple API to get a chart (in the form of a calendar) with the count of the katas completed in Codewars by a user in a specified year.
💎Collection of algorithms and data structures
Master programming by recreating your favorite technologies from scratch.