Jupyter notebooks, data, slides and other materials for a brief workshop style class on using python for scientific data analysis
-
Updated
Mar 3, 2017 - Jupyter Notebook
Jupyter notebooks, data, slides and other materials for a brief workshop style class on using python for scientific data analysis
This repository contains tutorial exercises for the following scientific computing libraries: NumPy, SciPy, Matplotlib, and Pandas. These exercises were completed using Jupyter notebooks for exhibitionary purposes.
This repository consists of jupyter notebook file which explains about Numpy .
Jupyter notebooks of different python packages like opencv, numpy, PIL (Pillow) etc
The hands-on lab notebook and answer key for the Numpy Workshop held during the Big Data February event at @MSPC-Tech.
A list of jupyter notebook explaining the various functions and properties of Numpy.
Basics of ML libraries Explained through Jupyter Notebooks
A complete tutorial of numpy
This repository contains jupyter notebook and other resources made by me during learning Data Science
Notebooks for pandas, matplotlib, numpy and data analysis
Basic Python learning - notebooks
A basic tutorial of NumPy (w/ explanation) made on Jupyter Notebook. Please follow the number order of files (#1, #2, ...) to learn basics clearly.
A complete Notebook on Numpy for Data Science
implementation of the most machine learning algorithms with its explanation in jupyter notebooks
Using this notebook we can learn simple NUMPY for Data science and Machine learning
Using this notebook we can learn simple PANDAS for Data science and Machine learning
This repositories contains Jupyter notebook files on Numpy tutorials. The book used is Data analysis by Bernd Klein.
Jupyter notebooks for introductory Python course for the MSc program "Data Analytics for Economics and Finance" at the University of Glasgow.
Jupyter notebooks for the course "Introduction to Python Programming for Economics & Finance" taught at Glasgow University
Jupyter notebooks for part 1 of the course "Machine Learning in Finance with Python" (ECON5130) taught at Glasgow University
Add a description, image, and links to the numpy-tutorial topic page so that developers can more easily learn about it.
To associate your repository with the numpy-tutorial topic, visit your repo's landing page and select "manage topics."