12.3. Python packages¶

This chapter contains further python packages demos to show how itom is used as a general python IDE. Click on any image to see the full script documentation.

12.3.2. Numpy¶

This demos shows the features of numpy (https://numpy.org/doc/stable/user/quickstart.html).

Shape manipulation — Shape manipulation¶

Splitting array — Splitting array¶

Indexing, Slicing and Iterating — Indexing, Slicing and Iterating¶

Copy — Copy¶

Stacking arrays — Stacking arrays¶

Create array — Create array¶

Operations — Operations¶

Numpy FFT, PyFFTW — Numpy FFT, PyFFTW¶

Rank and nullspace demo — Rank and nullspace demo¶

12.3.3. others¶

Pyro4 — Pyro4¶

Matlab engine — Matlab engine¶

12.3.4. Pandas¶

This demos show the basics feature of pandas (copied from https://pandas.pydata.org/docs/user_guide/10min.html).

Plotting — Plotting¶

Missing data — Missing data¶

Categoricals — Categoricals¶

Getting data in/out — Getting data in/out¶

Operations — Operations¶

Grouping data — Grouping data¶

Merge data — Merge data¶

Create and view an object — Create and view an object¶

Selection of data — Selection of data¶

Reshaping data — Reshaping data¶

12.3.5. Parallelization and Threading¶

Worker thread — Worker thread¶

Thread pool executor — Thread pool executor¶

Multi processing — Multi processing¶

12.3.6. Plotly¶

Simple — Simple¶

GUI integrated — GUI integrated¶

12.3.7. PyTest¶

Pytest — Pytest¶

12.3.8. Scikit-learn¶

Recursive feature elimination — Recursive feature elimination¶

K-Means clustering — K-Means clustering¶

Principal Component Regression vs Partial Least Squares Regression — Principal Component Regression vs Partial Least Squares Regression¶

12.3.9. Scipy¶

Signal correlation — Signal correlation¶

Nearest neighbors — Nearest neighbors¶

Scipy — Scipy¶

12.3.10. Seaborn¶

Timerseries — Timerseries¶

Joint kernel — Joint kernel¶

Scatterplot — Scatterplot¶

Violinplots — Violinplots¶

Linear regression — Linear regression¶

Bivariate — Bivariate¶