Modern Statistics: A Computer Based Approach with Python
Industrial Statistics: A Computer Based Approach with Python
Collection of utility functions
Install the mistat package using
pip3 install mistat
Notebooks and solutions
For instructions to install a python environment and access to notebooks and solutions go to https://github.com/gedeck/mistat-code-solutions
Metadata
Release files for mistat 0.1.17
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mistat-0.1.17.tar.gz | 13.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mistat-0.1.17-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 26.1 MB
Release files / mistat-0.1.17.tar.gz
| Download URL | mistat-0.1.17.tar.gz |
|---|---|
| Size | 13.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.2
|
Release files / mistat-0.1.17-py3-none-any.whl
| Download URL | mistat-0.1.17-py3-none-any.whl |
|---|---|
| Size | 13.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.2
|