semvec/pypi-packages huggingface dataset:
primes-sieve 0.0.1
A sample Python project with some functionality
Requires Python: >=3.9

This is a sample python project for finding prime numbers less than N (N defined by user).

The main function impelements the sieve of Eratosphenes algorithm and returns list of prime numbers. It's quite optimized, though not intended for real-life projects use. Module sieve.py supports command-line interface and can be run as separate program. The program is looped, so enter "stop" when you're done.
fastmath 0.0.88
A math libary for easier use of math formulas
Requires Python: >=3.7
Keywords: ROSHAN LAMICHHANE,ROSHAN,FAST MATH,FASTMATH

<br />
<p align="center">
  <a href="https://github.com/roshanlam/FastMath/">
    <img src="./logo.png" alt="Logo" width="80" height="80">
  </a>

  <h3 align="center">FastMath</h3>

  <p align="center">
    A Soon To Be The Best Math Library In Python
    <br />
    <a href="https://github.com/roshanlam/FastMath/README.md"><strong>Explore the docs »</strong></a>
    <br />
    <br />
    <a href="https://github.com/roshanlam/FastMath/test.py">View Example</a>
    ·
    <a href="https://github.com/roshanlam/FastMath/issues">Report Bug</a>
    ·
    <a href="https://github.com/roshanlam/FastMath/issues">Request Feature</a>
    ·
    <a href="https://github.com/roshanlam/FastMath/pulls">Send a Pull Request</a>
  </p>


<!-- TABLE OF CONTENTS -->
## Table of Contents

- [Table of Contents](#table-of-contents)
  - [Prerequisites](#prerequisites)
  - [Installation](#installation)
- [Usage](#usage)
- [ToDo](#todo)
- [Contributing](#contributing)

### Prerequisites

Numpy

### Installation

* pip3 install fastmath

## Usage

To add numbers do: `add(1, 2)`

This is the same as 1 + 2

To subtract do: `sub(2, 3)`

This is the same as 2 - 3

To multiply do: `mul(2, 2)`

This is the same as 2 * 2

To divide do:`div(4, 2)`

This is the same as 4 / 2

To caculate the area of a circle do:

`circle_area(5)`

This is the same as 5^2 * 3.14

To use the quadratic formula do:

`qudratic(6, 17, 12)`

This is the same as (-17 (+ or -) sqrt(17^2 - 4 * 6 * 12)) / 2 * 6

To do factorial:

`fac(2)`

This is the same as !2

To do natural logarithm:

`ln(2)`


To do square root:

`sqrt(4)`

This is the same as √4

To do sine:

`sin(45)`

To do cosine:

`cos(45)`

To do tangent:
`tan(45)`


To do cotangent:
`cot(45)`

To do cosecant:
`csc(45)`

To do secant:

`sec(45)`

## ToDo
- [ ] Add More Math Formulas
 
- [ ] Make code faster

## Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **extremely appreciated**.

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
kicksaw-lambda-logger 0.0.1
A customized loger for seamlessly logging on an AWS Lambda or local environment, with reporting in Sentry and other logging-related featues
Requires Python: >=3.8,<4.0
Keywords: kicksaw,aws,lambda,logging

# kicksaw-lambda-logger

This is intended for use with Kicksaw's integration projects and our other open-source libraries like
[pycm](https://github.com/Kicksaw-Consulting/python-configuration-management). However, these aren't
hard dependencies.

# Usage

```python
from kicksaw_lambda_logger import get_logger

logger = get_logger(__name__)

logger.info("Logging is fun!")
```

# Environment variables

There are two environment variables this library makes use of:

- `STAGE`
- `LOG_LEVEL`

`STAGE` represents your deployment environment, e.g., `production`, `development`, `local`, or `test`. This affects
which logging mechanism the library uses under the hood.

`LOG_LEVEL` represents the log level, e.g., `DEBUG`, `INFO`, `WARNING`, or `ERROR`.

# Sentry

As this library grows, we'll be adding more helper methods for reporting in Sentry. For now, you can send an exception
to Sentry without your code dying by using `send_exception_to_sentry`.

# Future plans

- Write all logs to `tmp` so that other reporting tools can sweep the logs and do something with them
- Add moe Sentry features
- Pass in stage and level from outside?

---

This project uses [poetry](https://python-poetry.org/) for dependency management
and packaging.