This package is a companion to the book Applied Time Series Analysis and Forecasting with Python, Springer 2022.
It contains several key Python functions for analyzing time series and most data sets analyzed in the book. Naturally, these functions can also be used to analyze other time series data.
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Release files for PythonTsa 1.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pythontsa-1.5.3.tar.gz | 427.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pythontsa-1.5.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:868.5 kB
Release files / pythontsa-1.5.3.tar.gz
| Download URL | pythontsa-1.5.3.tar.gz |
|---|---|
| Size | 427.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.13.11
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Release files / pythontsa-1.5.3-py3-none-any.whl
| Download URL | pythontsa-1.5.3-py3-none-any.whl |
|---|---|
| Size | 441.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
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