mathematical
Mathematical tools for Python 📐 🐍 🛠️
Includes tools for calculating mean, median and standard deviation of rows in data frames, detection of outliers, and statistical calculations
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Installation
mathematical can be installed from PyPI or Anaconda.
To install with pip:
$ python -m pip install mathematicalTo install with conda:
First add the required channels
$ conda config --add channels https://conda.anaconda.org/conda-forge $ conda config --add channels https://conda.anaconda.org/domdfcoding
Then install
$ conda install mathematical
1 maintainer
Release files for mathematical 0.5.1.post1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mathematical-0.5.1.post1.tar.gz | 21.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mathematical-0.5.1.post1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 99.8 kB
Release files / mathematical-0.5.1.post1.tar.gz
| Download URL | mathematical-0.5.1.post1.tar.gz |
|---|---|
| Size | 21.1 kB |
| Tags | Source |
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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/4.0.2 CPython/3.9.18
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Release files / mathematical-0.5.1.post1-py3-none-any.whl
| Download URL | mathematical-0.5.1.post1-py3-none-any.whl |
|---|---|
| Size | 78.7 kB |
| Tags | Python 3 |
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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/4.0.2 CPython/3.9.18
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