Package for Applied Time Series Analysis and Forecasting with Python, Springer 2022
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pythontsa-1.5.1.tar.gz.
File metadata
- Download URL: pythontsa-1.5.1.tar.gz
- Upload date:
- Size: 427.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cced3886b5461ef43e12b2462cb48e65ac37cce10af329e4e5767cf0084f26cb
|
|
| MD5 |
ab2a6686dd3680f73423b1fb1f1263e1
|
|
| BLAKE2b-256 |
cefab09b5f45a9d94004cd038a98284af9fcef7d321dc1b66b2e413a20037d97
|
File details
Details for the file pythontsa-1.5.1-py3-none-any.whl.
File metadata
- Download URL: pythontsa-1.5.1-py3-none-any.whl
- Upload date:
- Size: 441.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d0cdb5a4fc1067e1a2f7fbf65f6a45bdb14773dd28d5ef9c488b1d5700d953e6
|
|
| MD5 |
613571b2424d726d629fad5aba668ec3
|
|
| BLAKE2b-256 |
4ce5cf92735a1ab64dd6f97c5f8a6856226816476382a5168c67353b059c1713
|
