other:python:jyp_steps
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
|
other:python:jyp_steps [2023/12/15 14:37] jypeter Moved scikit-learn and scikit-image in front of lesser known libraries |
other:python:jyp_steps [2023/12/15 14:45] jypeter [Data file formats] Added link to the NetCDF section |
||
|---|---|---|---|
| Line 326: | Line 326: | ||
| * //The method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.// | * //The method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.// | ||
| - | * [[https://medium.com/codex/automate-the-exploratory-data-analysis-eda-to-understand-the-data-faster-not-better-2ed6ff230eed|Automate the exploratory data analysis (EDA) to understand the data faster and easier]]: a nice comparison of some Python libraries listed below (''ydata-profiling'', ''D-Tale'', ''sweetviz'', ''autoviz'') | + | * [[https://medium.com/codex/automate-the-exploratory-data-analysis-eda-to-understand-the-data-faster-not-better-2ed6ff230eed|Automate the exploratory data analysis (EDA) to understand the data faster and easier]]: a nice comparison of some Python libraries listed below ([[#ydata_profiling|YData Profiling]], [[#d-tale|D-Tale]], [[#sweetviz|sweetviz]], [[#autoviz|AutoViz]]) |
| * [[https://www.geeksforgeeks.org/exploratory-data-analysis-in-python/|EDA in Python]] | * [[https://www.geeksforgeeks.org/exploratory-data-analysis-in-python/|EDA in Python]] | ||
| Line 412: | Line 412: | ||
| ===== Data file formats ===== | ===== Data file formats ===== | ||
| - | We list here some resources about non-NetCDF data formats that can be useful | + | * We list below some resources about **non-NetCDF data formats** that can be useful |
| + | |||
| + | * Check the [[#using_netcdf_files_with_python|Using NetCDF files with Python]] section otherwise | ||
| ==== The shelve package ==== | ==== The shelve package ==== | ||
other/python/jyp_steps.txt · Last modified: 2024/03/07 10:15 by jypeter
