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Repository to store sample python programs for python learning
python python-tutorials jupyter numpy pandas-dataframe jupyter-notebook pandas jupyter-notebooks python-tutorial numpy-tutorial pandas-tutorial numpy-arrays python-pandas jupyter-tutorial
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
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Grokking Deep Reinforcement Learning
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中文版scipy-lecture-notes. 网站下线, 以离线HTML的形式继续更新, 见release.
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.
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Source material for Python Like You Mean it
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
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Implementation of the generalized 2D convolution with dilation from scratch in Python and NumPy
Best Jupyter Notebook Cheat Sheets and Training Docs for Developers 2026
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Deep learning library in python from scratch
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This repository contains jupyter notebook and other resources made by me during learning Data Science
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Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
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Cheat Sheet generated in the Introduction to NumPy course
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A Numpy Tutorial for Beginners
Repository for participants of the "Scientific Python" training
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NumPy fundamentals for tensor computation; Matplotlib for data visualization
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We design this course with 9 lessons to help beginners can quickly understand and utilize this useful library.
Basics of ML libraries Explained through Jupyter Notebooks
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Basic Python learning - notebooks
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