MLCoder
MLCoder is a Python package that provides a collection of frequently used code snippets for Machine Learning, offering a command-line interface (CLI) to search and copy files from its built-in repository. Users can easily install it via PyPI or GitHub and leverage its simple commands to quickly access useful scripts.
Installation
You can install MLCoder from PyPI:
pip install mlcoder
Alternatively, install it directly from GitHub:
pip install git+https://github.com/hissain/mlcoder.git
Usage
MLCoder provides a CLI utility to search and copy files from the package's files directory.
Commands
search: Search for files in the package'sfilesdirectory.copy: Copy a specified file from the package'sfilesdirectory to the current working directory.
Examples
Search for a file
To search for files containing a specific term:
mlcoder search <search_term>
Example:
mlcoder search pretty
Copy a file
To copy a file from the package's files directory to the current working directory:
Example:
mlcoder copy pretty_print.py
Project Links
- GitHub: MLCoder Repository
- PyPI: MLCoder Package
License
This project is licensed under the MIT License.
Metadata
Release files for mlcoder 0.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlcoder-0.1.3.tar.gz | 105.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlcoder-0.1.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 210.5 kB
Release files / mlcoder-0.1.3.tar.gz
| Download URL | mlcoder-0.1.3.tar.gz |
|---|---|
| Size | 105.1 kB |
| Tags | Source |
|
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/6.1.0 CPython/3.11.0
|
Release files / mlcoder-0.1.3-py3-none-any.whl
| Download URL | mlcoder-0.1.3-py3-none-any.whl |
|---|---|
| Size | 105.4 kB |
| 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.0
|