This repository showcases my learning of numpy.

Repository to store sample python programs for python learning

Introduction to the Python programming language for data analysis in earth sciences

Repository for participants of the "Scientific Python" training

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

This repositories contains Jupyter notebook files on Numpy tutorials. The book used is Data analysis by Bernd Klein.

Awesome list of NumPy

NUMPY Notes

Files in Python

Source material for Python Like You Mean it

Build MLP from scratch only using Numpy. Able to perform simple supervised learning problems in any dimension and with variable layer configurations. It can also be used for Auto-Encoder problems.

:notebook: Python scripts and Jupyter Notebooks for the Physics Laboratory 3 course of the University of Florence

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.

This section provides NumPy tutorial or study stuffs

Python for Data Science

Jupyter notebooks for part 1 of the course "Machine Learning in Finance with Python" (ECON5130) taught at Glasgow University

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.

Using this notebook we can learn simple PANDAS for Data science and Machine learning

Using this notebook we can learn simple NUMPY for Data science and Machine learning

implementation of the most machine learning algorithms with its explanation in jupyter notebooks

Python Basic codes for Practice(PerfectPlus)

This repository helps to familiarize datascience tools like pandas, numpy, matplotlib, seaborn e.t.c.,

This repository is a workbook for coursera's Introduction to Data Science in Python course . link: https://www.coursera.org/learn/python-data-analysis?specialization=data-science-python

notes on numpy from online crash course

The main repo I created for my projects and first-hand documents in the field of Data Science

Resources for the session 'Debriefing Data' conducted by the Web and Coding Club, IIT Bombay.

Jupyter notebooks for introductory Python course for the MSc program "Data Analytics for Economics and Finance" at the University of Glasgow.

Deep learning library in python from scratch

Everything that I learn about Numpy in simple words.