PyStats
PyStats is a Python 3 library of statistical analysis and distribution functions with simple R-like syntax, scalar/list input/output with OpenMP parallelization.
Contents
Distributions
Functions to compute the cdf, pdf, quantile, as well as random sampling methods, are available for the following distributions:
- Bernoulli
- Beta
- Binomial
- Cauchy
- Chi-squared
- Exponential
- F
- Gamma
- Inverse-Gamma
- Laplace
- Logistic
- Log-Normal
- Normal (Gaussian)
- Poisson
- Student's t
- Uniform
- Weibull
Installation
You can use pip to install this library:
pip3 install pystats
Alternatively, you can also clone this repository and install the plugin manually using pip:
$ git clone git@github.com:marcizhu/PyStats.git
$ pip3 install ./PyStats
After that, you can just import pystats (or do from pystats import * if you don't want to type pystats. before all functions) and you're ready to go.
Documentation
Full documentation is available online:
A PDF version of the documentation is available here.
Syntax and Examples
Functions are called using an R-like syntax. Some general rules:
- Density functions:
pystats.d*. For example, the Normal (Gaussian) density is called using
pystats.dnorm(<value>, <mean>, <standard deviation>)
- Cumulative distribution functions:
pystats.p*. For example, the Gamma CDF is called using
pystats.pgamma(<value>, <shape parameter>, <scale parameter>)
- Quantile functions:
pystats.q*. For example, the Beta quantile is called using
pystats.qbeta(<value>, <a parameter>, <b parameter>)
- Random sampling:
pystats.r*. For example, to generate a single draw from the Logistic distribution:
pystats.rlogis(<location parameter>, <scale parameter>)
The library also supports lists as input/output:
- The pdf, cdf and quantile functions can take list arguments. For example:
norm_pdf_vals = pystats.dnorm([x / 10 for x in range(-10, 10, 1)], 1.0, 2.0)
- The randomization functions (
r*) can output lists of arbitrary size. For example, the following code will generate a 100-item list of iid draws from a Gamma(3,2) distribution:
gamma_rvs = pystats.rgamma(100, 3.0, 2.0)
Additionally, most parameters have defaults to most common values and named parameters are also supported. For example, to generate a single draw from a Normal(0, 2) the following can be used:
norm_draw = pystats.rnorm(sd=2.0)
Examples
More examples with code:
# Evaluate the normal PDF at x = 1, mu = 0, sigma = 1
dval_1 = pystats.dnorm(1.0, 0.0, 1.0)
# Evaluate the normal PDF at x = 1, mu = 0, sigma = 1, and return the log value
dval_2 = pystats.dnorm(1.0, 0.0, 1.0, True)
# Same as above, but using default values and named parameters
dval_3 = pystats.dnorm(1.0, log=True)
# Evaluate the normal CDF at x = 1, mu = 0, sigma = 1
pval = pystats.pnorm(1.0, 0.0, 1.0)
# Evaluate the Laplacian quantile at q = 0.1, mu = 0, sigma = 1
qval = pystats.qlaplace(0.1, 0.0, 1.0)
# Draw from a t-distribution with dof = 30
rval = pystats.rt(dof=30)
# List output
beta_rvs = pystats.rbeta(100, 3.0, 2.0)
# List input
beta_cdf_vals = pystats.pbeta(beta_rvs, 3.0, 2.0)
For more information on default values, parameter names and other examples, check the documentation.
Credits
This library uses kthohr/stats for the statistical distribution functions, kthohr/gcem (a dependency of the previous library) and pybind/pybind11 to generate the binding code.
License
Copyright (c) Marc Izquierdo 2021-2024
This library is licensed under the MIT License. See
LICENSE for more details.
1 maintainer
Metadata
1 maintainer
Release files for PyStats 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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|---|---|---|---|---|
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Built distributions (wheels)
Total release size: 36.1 MB
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp313-cp313-macosx_10_13_x86_64.whl
| Download URL | PyStats-0.1.2-cp313-cp313-macosx_10_13_x86_64.whl |
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| Size | 162.3 kB |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp312-cp312-win_amd64.whl
| Download URL | PyStats-0.1.2-cp312-cp312-win_amd64.whl |
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| Size | 134.6 kB |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp312-cp312-win32.whl
| Download URL | PyStats-0.1.2-cp312-cp312-win32.whl |
|---|---|
| Size | 116.7 kB |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp312-cp312-musllinux_1_2_x86_64.whl
| Download URL | PyStats-0.1.2-cp312-cp312-musllinux_1_2_x86_64.whl |
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| Size | 1.4 MB |
| Tags | CPython 3.12 Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp312-cp312-musllinux_1_2_i686.whl
| Download URL | PyStats-0.1.2-cp312-cp312-musllinux_1_2_i686.whl |
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| Size | 1.5 MB |
| Tags | CPython 3.12 Linux musl 1.2+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | PyStats-0.1.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 335.6 kB |
| Tags | CPython 3.12 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | PyStats-0.1.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl |
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| Size | 348.8 kB |
| Tags | CPython 3.12 Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp312-cp312-macosx_10_13_x86_64.whl
| Download URL | PyStats-0.1.2-cp312-cp312-macosx_10_13_x86_64.whl |
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| Size | 162.3 kB |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp311-cp311-win_amd64.whl
| Download URL | PyStats-0.1.2-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 133.9 kB |
| Tags | CPython 3.11 Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp311-cp311-win32.whl
| Download URL | PyStats-0.1.2-cp311-cp311-win32.whl |
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| Size | 115.9 kB |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp311-cp311-musllinux_1_2_x86_64.whl
| Download URL | PyStats-0.1.2-cp311-cp311-musllinux_1_2_x86_64.whl |
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| Size | 1.4 MB |
| Tags | CPython 3.11 Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp311-cp311-musllinux_1_2_i686.whl
| Download URL | PyStats-0.1.2-cp311-cp311-musllinux_1_2_i686.whl |
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| Size | 1.5 MB |
| Tags | CPython 3.11 Linux musl 1.2+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | PyStats-0.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 333.9 kB |
| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | PyStats-0.1.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl |
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| Size | 348.6 kB |
| Tags | CPython 3.11 Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp311-cp311-macosx_10_9_x86_64.whl
| Download URL | PyStats-0.1.2-cp311-cp311-macosx_10_9_x86_64.whl |
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| Size | 165.3 kB |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp310-cp310-win_amd64.whl
| Download URL | PyStats-0.1.2-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 133.9 kB |
| Tags | CPython 3.10 Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp310-cp310-win32.whl
| Download URL | PyStats-0.1.2-cp310-cp310-win32.whl |
|---|---|
| Size | 116.0 kB |
| Tags | CPython 3.10 Windows x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp310-cp310-musllinux_1_2_x86_64.whl
| Download URL | PyStats-0.1.2-cp310-cp310-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.10 Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp310-cp310-musllinux_1_2_i686.whl
| Download URL | PyStats-0.1.2-cp310-cp310-musllinux_1_2_i686.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.10 Linux musl 1.2+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | PyStats-0.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 333.9 kB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | PyStats-0.1.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 348.7 kB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | PyStats-0.1.2-cp310-cp310-macosx_10_9_x86_64.whl |
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| Size | 165.3 kB |
| Tags | CPython 3.10 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp39-cp39-win_amd64.whl
| Download URL | PyStats-0.1.2-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 133.9 kB |
| Tags | CPython 3.9 Windows x86-64 |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp39-cp39-win32.whl
| Download URL | PyStats-0.1.2-cp39-cp39-win32.whl |
|---|---|
| Size | 115.9 kB |
| Tags | CPython 3.9 Windows x86-32 |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp39-cp39-musllinux_1_2_x86_64.whl
| Download URL | PyStats-0.1.2-cp39-cp39-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp39-cp39-musllinux_1_2_i686.whl
| Download URL | PyStats-0.1.2-cp39-cp39-musllinux_1_2_i686.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-32 |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | PyStats-0.1.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 334.1 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | PyStats-0.1.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 349.5 kB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-32 |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp39-cp39-macosx_10_9_x86_64.whl
| Download URL | PyStats-0.1.2-cp39-cp39-macosx_10_9_x86_64.whl |
|---|---|
| Size | 165.4 kB |
| Tags | CPython 3.9 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp38-cp38-win_amd64.whl
| Download URL | PyStats-0.1.2-cp38-cp38-win_amd64.whl |
|---|---|
| Size | 133.9 kB |
| Tags | CPython 3.8 Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp38-cp38-win32.whl
| Download URL | PyStats-0.1.2-cp38-cp38-win32.whl |
|---|---|
| Size | 115.9 kB |
| Tags | CPython 3.8 Windows x86-32 |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp38-cp38-musllinux_1_2_x86_64.whl
| Download URL | PyStats-0.1.2-cp38-cp38-musllinux_1_2_x86_64.whl |
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| Size | 1.4 MB |
| Tags | CPython 3.8 Linux musl 1.2+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp38-cp38-musllinux_1_2_i686.whl
| Download URL | PyStats-0.1.2-cp38-cp38-musllinux_1_2_i686.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.8 Linux musl 1.2+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
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Release files / PyStats-0.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | PyStats-0.1.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 333.9 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | PyStats-0.1.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 348.8 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp38-cp38-macosx_10_9_x86_64.whl
| Download URL | PyStats-0.1.2-cp38-cp38-macosx_10_9_x86_64.whl |
|---|---|
| Size | 165.3 kB |
| Tags | CPython 3.8 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp37-cp37m-win_amd64.whl
| Download URL | PyStats-0.1.2-cp37-cp37m-win_amd64.whl |
|---|---|
| Size | 132.2 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp37-cp37m-win32.whl
| Download URL | PyStats-0.1.2-cp37-cp37m-win32.whl |
|---|---|
| Size | 116.5 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Windows x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp37-cp37m-musllinux_1_2_x86_64.whl
| Download URL | PyStats-0.1.2-cp37-cp37m-musllinux_1_2_x86_64.whl |
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| Size | 1.4 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp37-cp37m-musllinux_1_2_i686.whl
| Download URL | PyStats-0.1.2-cp37-cp37m-musllinux_1_2_i686.whl |
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| Size | 1.6 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux musl 1.2+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | PyStats-0.1.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 362.5 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | PyStats-0.1.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 372.7 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | PyStats-0.1.2-cp37-cp37m-macosx_10_9_x86_64.whl |
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| Size | 160.7 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp36-cp36m-win_amd64.whl
| Download URL | PyStats-0.1.2-cp36-cp36m-win_amd64.whl |
|---|---|
| Size | 132.2 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp36-cp36m-win32.whl
| Download URL | PyStats-0.1.2-cp36-cp36m-win32.whl |
|---|---|
| Size | 116.5 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Windows x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp36-cp36m-musllinux_1_2_x86_64.whl
| Download URL | PyStats-0.1.2-cp36-cp36m-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp36-cp36m-musllinux_1_2_i686.whl
| Download URL | PyStats-0.1.2-cp36-cp36m-musllinux_1_2_i686.whl |
|---|---|
| Size | 1.6 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux musl 1.2+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | PyStats-0.1.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 362.6 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | PyStats-0.1.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl |
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| Size | 372.4 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / PyStats-0.1.2-cp36-cp36m-macosx_10_9_x86_64.whl
| Download URL | PyStats-0.1.2-cp36-cp36m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 160.6 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Security for PyStats 0.1.2
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