semvec/pypi-packages huggingface dataset:
qbandas 1.2.1
Integrates the popular data handling library Pandas and the QuickBase API
Requires Python: >=3.7

# qBandas

qBandas (QuickBase + Pandas) is a Python package designed to effeciently 
transfer tabular data between QuickBase applications and the popular Python data
handling package Pandas. If you are new to Pandas, you can read more about it 
[here](https://pandas.pydata.org/).

The advantages of this approach over a QuickBase pipeline are:

* Access to databases through Python packages.
* Greater control over features like error logging, data processing, 
  automated reporting, and scheduling.
* Significantly less performance impact on your QuickBase application.
* Access tabular data from local sources. 
* Easily pull data from a QuickBase app into Python.

The disadvantages of this approach compared to a pipeline are:

* Requires some knowledge of Python and Pandas.

Please [read the docs](https://jhopwood-jjk.github.io/qbandas/index.html) before
using this package.

## Installation

```bash
python3 -m pip install -U pip qbandas
```

You can now use it through import.

```python
import qbandas
```
pyida 2023.2.1
Python code protection/obfuscation tool
Requires Python: >=3.10, <3.13
Keywords: obfuscate obfuscation distribute production tool

PyLovelace Python protection tool.
===================================

PyLovelace is a Python protection tool that can be used to protect
Python source code from being reverse engineered.

Installation
------------
PyLovelace is available on PyPI and can be installed using pip:

    pip install pylovelace

Usage
-----
PyLovelace can be used as a command line tool to protect Python source
code. The following command will protect the Python source code in
`my_script.py` and write the protected code to `dist/my_script.py`:

    pylovelace protect my_script.py

Supported Python versions
-------------------------
PyLovelace supports Python 3.11 with 3.10 and 3.12 support coming soon.
Windows only for now.

More information
----------------
- PyLovelace on PyPI: https://pypi.org/project/pylovelace/
- PyLovelace on GitHub: https://github.com/pylovelace/pylovelace
- PyLovelace documentation: https://pylovelace.com/docs/getting-started/introduction