semvec/pypi-packages huggingface dataset:
SQLLink 1.0.0
SQLLink is a simple library which enables you to use SQLite databases without SQL.
Requires Python: >=3.6

# SQLLink

SQLLink is a Python library designed to simplify interactions with SQLite databases, abstracting away the need for direct SQL queries.

## Features

- Simplified database operations through intuitive Python functions.
- Automatic SQL query generation based on user input.
- Custom exception handling for robust error management.

## Installation

Install SQLLink using pip:

```bash
pip3 install sqllink
```

## Usage

### Creating a Table

```python
from sqllink import db_utils
import sqlite3
s
conn = sqlite3.connect('example.db')
columns = {
    'id': 'integer PRIMARY KEY',
    'name': 'text NOT NULL',
    'salary': 'real'
}
db_utils.create_table(conn, 'employees', columns)
```

### Adding Data

```python
data = [(1, 'Alice', 80000.0), (2, 'Bob', 90000.0)]
db_utils.add_data(conn, 'employees', data)
```

### Querying Data

```python
results = db_utils.query_data(conn, 'employees', "salary > 85000")
print(results)
```

### Deleting a Table

```python
db_utils.delete_table(conn, 'employees')
```

## Troubleshooting

If you encounter any issues:
- Verify that SQLite is correctly installed and accessible in your environment.
- Ensure that you're using Python 3.6 or later.
- Review the error messages carefully; they are designed to provide insights into potential issues.

## Contributions

Contributions to SQLLink are welcome! Please fork the repository and submit a pull request to contribute.

## License

SQLLink is released under the MIT License. View the license [here](https://github.com/TRC-Loop/SQLLink/blob/main/LICENSE).

## Repository

Link to the repository: [SQLLink Repository](https://github.com/TRC-Loop/SQLLink)
markcrowe 0.1.1
Data analytic functions for data projects.
Requires Python: >=3.6


# [markcrowe.pypi](https://github.com/marcocrowe/markcrowe.pypi)

This package is published at <https://pypi.org/project/markcrowe/>

## Requirements

- [Python &GreaterEqual; 3.10.0](https://www.python.org/downloads/)

The packages in this archive are:

- data_analytics
- population_planning

## Install Python Package Builders

To install/upgrade Python packages to build a Python package run these commands:

```bash
pip install -r requirements.txt
```

```bash
pip install --upgrade pip
pip install --upgrade build
pip install --upgrade twine
```

In the event of an error, consider running the following commands:

```bash
python -m pip cache purge
python -m pip install -U pip
```

## Recommended IDEs

- [VS Code](https://code.visualstudio.com/): [`Python`](https://code.visualstudio.com/docs/languages/python)

## Build and publish a Python package

*All these commands must be run from the project root:*

### Update the required packages

To build the requirements.txt file run these commands:

```bash
pipreqs --force
```

### Build/rebuild the Python package

To build the Python package, run the following command:

```bash
python -m build
```

### Publish the Python package

To publish the package to PyPI, run the following command:

```bash
python -m twine upload dist/*
```

For username enter `__token__` and then your password.

The package is then available at [markcrowe](https://pypi.org/project/markcrowe/)

### Installation of the Python package

#### Remote installation

To install the package from [pypi.org](https://pypi.org), run the following command:

```bash
pip install markcrowe
```

#### Local installation

To install the package from local sources, run the following command:

```bash
pip install .\dist\markcrowe-0.1.1-py3-none-any.whl
```

To force a reinstall of the package from local sources, run the following command:

```bash
pip install .\dist\markcrowe-0.1.1-py3-none-any.whl --force-reinstall
```

Conda:

```bash
conda install .\dist\markcrowe-0.1.1-py3-none-any.whl --channel conda-forge
```

---
Copyright &copy; 2021 Mark Crowe <https://github.com/marcocrowe>. All rights reserved.
fitsblender 0.4.4
Aggregate values in FITS headers
Requires Python: >=3.10

# fitsblender

[![Build Status](https://dev.azure.com/spacetelescope/fitsblender/_apis/build/status/spacetelescope.fitsblender?branchName=main)](https://dev.azure.com/spacetelescope/fitsblender/_build/latest?definitionId=14&branchName=main)
[![codecov](https://codecov.io/gh/spacetelescope/fitsblender/branch/main/graph/badge.svg)](https://codecov.io/gh/spacetelescope/fitsblender)

FITSBLENDER
============

This package supports the creation of a combined header for a FITS file based on the contents of the headers
of a set of input FITS images.  A rules file defines what keywords will be present in the combined
output header as well as how the output value will be determined from the set of values from all 
the input image headers.