other:python:jyp_steps
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other:python:jyp_steps [2021/09/22 13:42] jypeter Added xarray |
other:python:jyp_steps [2022/02/21 13:27] jypeter [Extra numpy information] Added link to useful stuff page and sorting routines page |
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| ==== Extra numpy information ==== | ==== Extra numpy information ==== | ||
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| + | <WRAP center round tip 60%> | ||
| + | You can also check the [[other:python:misc_by_jyp#numpy_related_stuff|numpy section]] of the //Useful python stuff// page | ||
| + | </WRAP> | ||
| + | |||
| * More information about **array indexing**:\\ <wrap em>Always check what you are doing on a simple test case, when you use advanced/fancy indexing!</wrap> | * More information about **array indexing**:\\ <wrap em>Always check what you are doing on a simple test case, when you use advanced/fancy indexing!</wrap> | ||
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| * [[https://numpy.org/doc/stable/reference/routines.array-creation.html|Array creation routines]] | * [[https://numpy.org/doc/stable/reference/routines.array-creation.html|Array creation routines]] | ||
| * [[https://numpy.org/doc/stable/reference/routines.array-manipulation.html|Array manipulation routines]] | * [[https://numpy.org/doc/stable/reference/routines.array-manipulation.html|Array manipulation routines]] | ||
| + | * [[https://numpy.org/doc/stable/reference/routines.sort.html|Sorting, searching, and counting routines]] | ||
| * [[https://numpy.org/doc/stable/reference/maskedarray.html|Masked arrays]] | * [[https://numpy.org/doc/stable/reference/maskedarray.html|Masked arrays]] | ||
| * [[https://numpy.org/doc/stable/reference/routines.ma.html|Masked array operations]] | * [[https://numpy.org/doc/stable/reference/routines.ma.html|Masked array operations]] | ||
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| This document will teach you even more things about python, numpy and matplotlib, debugging and optimizing scripts, and about using python for statistics, image processing, machine learning, washing dishes (this is just to check if you have read this page), etc... | This document will teach you even more things about python, numpy and matplotlib, debugging and optimizing scripts, and about using python for statistics, image processing, machine learning, washing dishes (this is just to check if you have read this page), etc... | ||
| * Example: the [[http://www.scipy-lectures.org/packages/statistics/index.html|Statistics in Python]] tutorial that combines [[other:python:jyp_steps#pandas|Pandas]], [[http://statsmodels.sourceforge.net/|Statsmodels]] and [[http://seaborn.pydata.org/|Seaborn]] | * Example: the [[http://www.scipy-lectures.org/packages/statistics/index.html|Statistics in Python]] tutorial that combines [[other:python:jyp_steps#pandas|Pandas]], [[http://statsmodels.sourceforge.net/|Statsmodels]] and [[http://seaborn.pydata.org/|Seaborn]] | ||
| + | |||
| + | ===== statsmodels ===== | ||
| + | |||
| + | [[https://www.statsmodels.org/|statsmodels ]] is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. | ||
| + | |||
| + | ===== scikit-learn ===== | ||
| + | |||
| + | [[http://scikit-learn.org/|scikit-learn]] is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other utilities. | ||
| + | |||
| + | ===== scikit-image ===== | ||
| + | |||
| + | [[https://scikit-image.org/|scikit-image]] is a collection of algorithms for image processing in Python | ||
| ===== Quick Reference and cheat sheets ===== | ===== Quick Reference and cheat sheets ===== | ||
other/python/jyp_steps.txt · Last modified: 2024/03/07 10:15 by jypeter
