Repository to store sample python programs for python learning
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Updated
Jul 28, 2024 - Jupyter Notebook
Repository to store sample python programs for python learning
Grokking Deep Reinforcement Learning
Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
中文版scipy-lecture-notes. 网站下线, 以离线HTML的形式继续更新, 见release.
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Source material for Python Like You Mean it
This repository contains jupyter notebook and other resources made by me during learning Data Science
A Numpy Tutorial for Beginners
Cheat Sheet generated in the Introduction to NumPy course
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
NumPy fundamentals for tensor computation; Matplotlib for data visualization
A crash course on Python basics / Numpy / Scipy / Matplotlib / Pillow
Repository for participants of the "Scientific Python" training
Deep learning library in python from scratch
Investigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)
We design this course with 9 lessons to help beginners can quickly understand and utilize this useful library.
NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities
This repository will be the training documentation and "cheat sheets" I create for myself, my students, and any projects I need to work in. Documentation is KEY - and ensuring you utilize your knowledge solidifies it. So this is a mixture of both.
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