# CythonBuilder
CythonBuilder; automated compiling and packaging of Cython code
<table>
<tr>
<th>Version</th>
<td>
<a href="https://pypi.org/project/cythonbuilder">
<img alt="version" src="https://img.shields.io/pypi/v/cythonbuilder">
</a>
</td>
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<tr>
<th>Package</th>
<td>
<a href="https://pypi.org/project/cythonbuilder">
<img alt="PythonVersion" src="https://img.shields.io/pypi/pyversions/cythonbuilder">
</a>
<a href="https://pypi.org/project/cythonbuilder">
<img alt="Platform" src="https://img.shields.io/badge/os-windows%20%7C%20linux-blue">
</a>
<a href="https://github.com/mike-huls/cythonbuilder/blob/main/license.txt">
<img alt="License" src="https://img.shields.io/pypi/l/cythonbuilder">
</a>
<a href="https://cython.org/">
<img alt="implementation" src="https://img.shields.io/pypi/implementation/cythonbuilder">
</a>
</td>
</tr>
<tr>
<th>Status</th>
<td>
<a href="https://pypi.org/project/cythonbuilder">
<img alt="status" src="https://img.shields.io/pypi/status/cythonbuilder">
</a>
<a href="https://pypi.org/project/cythonbuilder">
<img alt="DependencyStatus" src="https://img.shields.io/librariesio/release/pypi/cythonbuilder">
</a>
<a>
<img alt="CoverageStatus" src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/mike-huls/cythonbuilder/main/stats/coverage.json">
</a>
</td>
</tr>
<tr>
<th>Stats</th>
<td>
<a href="https://pypi.org/project/cythonbuilder/">
<img alt="DownloadsCount" src="https://img.shields.io/pypi/dm/cythonbuilder">
</a>
</td>
</tr>
<tr>
<th>Social</th>
<td>
<a href="https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Fgithub.com%2Fmike-huls%2Fcythonbuilder">
<img alt="tweet" src="https://img.shields.io/twitter/url?style=social&url=https%3A%2F%2Fgithub.com%2Fmike-huls%2Fcythonbuilder">
</a>
<a href="https://img.shields.io/twitter/follow/mike_huls?style=social">
<img alt="twitterfollow" src="https://img.shields.io/twitter/follow/mike_huls?style=social">
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</td>
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</table>
## Installation
```commandline
pip install cythonbuilder
```
## How to use
CythonBuilder makes it easy to use Cython in your Python project by automating the building process.
You can use CythonBuilder from the commandline or import it as a package in Python.
Generated files can be imported in Python directly
### With Commandline
Add `-v` (verbose) for more information
1. Listing files with and without filter
```commandline
cybuilder list
cybuilder list --files file1 file2.pyx
```
2. Build with and without optional build arguments
```commandline
cybuilder build
cybuilder build --include-numpy --no-annotation --no-cleanup
```
3. Clean
```commandline
cybuilder clean
cybuilder clean --no-cleanup
```
<hr>
### With python
1. Listing files with and without filter
```python
from cythonbuilderr import cythonbuilder as cybuilder
print(cybuilder.cy_list()) # without a filter
print(cybuilder.cy_list(target_files=['some_name.pyx'])) # with a filter
```
2. Build with and without optional build arguments (cleans automatically afterwards)
```python
from src import cythonbuilder as cybuilder
cybuilder.cy_build()
found_files = cybuilder.cy_build(target_files=['some_name'])
cybuilder.cy_build(target_files=found_files, include_numpy=False, create_annotations=False)
```
3. Clean
```python
from src import cythonbuilder as cybuilder
cybuilder.cy_clean()
found_files = cybuilder.cy_build(target_files=['some_name'])
cybuilder.cy_clean(target_files=['some_name'])
```
4. Setting debug level for verbose logging
```python
from cythonbuilderr import logger
from cythonbuilderr import set_logger_debug_mode
set_logger_debug_mode(logger=logger)
```
### In-depth, step by step Explanation
I've written a few articles that explain why Python is slow, why Cython can be a solution and how CythonBuilder helps us develop fast code easily:
- [Why Python is so slow and how to speed it up](https://mikehuls.medium.com/why-is-python-so-slow-and-how-to-speed-it-up-485b5a84154e)
- [Getting started with Cython; how to perform >1.7 billion calculations per second with Python](https://mikehuls.medium.com/getting-started-with-cython-how-to-perform-1-7-billion-calculations-per-second-in-python-b83374cfcf77)
- [Cython for data science: 6 steps to make this Pandas dataframe operation over 100x faster](https://mikehuls.medium.com/cython-for-data-science-6-steps-to-make-this-pandas-dataframe-operation-over-100x-faster-1dadd905a00b)
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