matplobblib
A comprehensive educational Python library for Numerical Methods, Machine Learning, and more, with from-scratch implementations and automated release workflows.
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Introduction
The matplobblib library provides a set of tools and functions for various subject areas, including Analysis and Data Structures (AISD), Probability Theory and Mathematical Statistics (TViMS), Machine Learning (ML), and Numerical Methods (NM).
Table of Contents
- Installation
- Quick Start
- Modules
- Dependencies
- Contributing
- License
- Contacts
Installation
To install the matplobblib library, execute the following command:
pip install matplobblib
Ensure you have Python version 3.6 or higher installed.
Quick Start
Import the necessary modules and start using the functions:
# Example of importing modules
import matplobblib.aisd as aisd
import matplobblib.tvims as tvims
import matplobblib.ml as ml
import matplobblib.nm as nm
# Example of using a function from the tvims module to display available topics
tvims.description()
# For detailed information about the functions of each module,
# refer to the respective README files of the modules.
Modules
The library includes the following main modules:
-
aisd: Implementations of various algorithms and data structures.
-
tvims: Functions and tools for probability theory and mathematical statistics. Includes theoretical materials, calculations for random variables, hypothesis testing, and much more.
-
ml: Tools and algorithms for machine learning tasks.
-
nm: Implementations of numerical methods for solving mathematical problems.
Each module has its own README.md with a more detailed description of its content and usage examples.
Dependencies
Main project dependencies:
- numpy
- sympy
- pandas
- scipy
- pyperclip
- pymupdf
- graphviz
- statsmodels
- cvxopt
A complete list of dependencies can be found in the setup.py file.
Contributing
We welcome contributions to the project! If you want to suggest improvements, fix bugs, or add new features, please create an Issue/Pull Request in the repository.
License
The project is distributed under the MIT license. See the LICENSE.txt file for more details.
Contacts
- Author: Ackrome
- Email: ivansergeyevicht@gmail.com
- GitHub: https://github.com/Ackrome/matplobblib
1 maintainer
Release files for matplobblib 0.4.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| matplobblib-0.4.3.tar.gz | 17.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| matplobblib-0.4.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.8 MB
Release files / matplobblib-0.4.3.tar.gz
| Download URL | matplobblib-0.4.3.tar.gz |
|---|---|
| Size | 17.9 MB |
| Tags | Source |
|
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Transparency logRelease files / matplobblib-0.4.3-py3-none-any.whl
| Download URL | matplobblib-0.4.3-py3-none-any.whl |
|---|---|
| Size | 17.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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