semvec/pypi-packages huggingface dataset:
f1-racers-report 1.0.8
Application that generates the report from provided files
Keywords: packaging,resources

# Report of Monaco 2018 Racing

## Overview

This is a command line application that generates a report for the racers of a racing cup. It creates a list 
of the best racers who will go to the second round and continue their competition. It evaluates the provided data and 
returns the result.


## Modules that are used
- [argparse](https://docs.python.org/3/library/argparse.html)
- [colorama](https://pypi.org/project/colorama/)

## How to install

> pip install f1-racers-report==1.0.8

## How to fill key files
You need to provide a path to directory where your 'start.log', 'end.log' and 'abbreviations.txt' 
files are located.

- 'start.log' file where start time of the lap for each racer is located
- 'end.log' file where end time of the lap for each racer is located
- 'abbreviations.txt' file with abbreviations explanations are located

### Examples of records for each file are presented below

#### start.log file
- KRF2018-05-24_12:03:01.250
- SVM2018-05-24_12:18:37.735

#### end.log file

- MES2018-05-24_12:05:58.778
- RGH2018-05-24_12:06:27.441

#### abbreviations.txt file
- EOF_Esteban Ocon_FORCE INDIA MERCEDES
- FAM_Fernando Alonso_MCLAREN RENAULT

## Usage

If you want to get list of racers who go to the next stage, type the following in the command line:

> py -m racers_report --files "<path_to_the_directory_with_needed_files>"

You can select the order in which racers will appear, with the help either '--asc asc' or '--desc desc':

> py -m racers_report --files "<path_to_the_directory_with_needed_files>" --desc desc

In order to obtain information only for the selected racer, type the following cmd:

> py -m racers_report --files "<path_to_the_directory_with_needed_files>" --driver "<name_of_the_driver>"
pypkagemodule 0.0.5
My first Python package
Keywords: python,first package

# package hello world

[How to Build Your Very First Python Package](https://www.freecodecamp.org/news/build-your-first-python-package/)

- 介绍了如何制作python lib库
- 编译出来的包，的确包含了目录 pypkagemodule 子目录和setup文件

## 优化

[An Introduction to Distutils](https://docs.python.org/3/distutils/introduction.html#distutils-simple-example)

[Writing the Setup Script](https://docs.python.org/3/distutils/setupscript.html)

- 优化了导出设置，可以导出子目录，以及根目录下的文件
myportfoliolab 0.0.0
PortfolioLab is a python library that enables traders who want to take advantage of the latest portfolio optimisation algorithms, used by professionals in industry.
Requires Python: >=3.7
Keywords: portfolio optimization,finance,investment,education

<div align="center">
   <a href="https://hudsonthames.org/">
   <img src="https://raw.githubusercontent.com/hudson-and-thames/mlfinlab/master/docs/source/logo/Hudson%20%26%20Thames_verticalblack.png" height="300"><br>
</div>


-----------------
# Portfolio Optimisation Laboratory (PortfolioLab)

PortfolioLab is a python library that enables traders who want to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.

## Documentation & Tutorials
We lower barriers to entry for all users by providing extensive documentation and tutorial notebooks, with code examples.

## Who is Hudson & Thames?
Hudson and Thames Quantitative Research is a company with a focus on implementing the most cutting edge algorithms in 
quantitative finance. We productionalize all our tools in the form of libraries and provide capability to our clients.

Adding our libraries to your company’s pipeline is like adding a department of PhD researchers.

* [Website](https://hudsonthames.org/)
* [Github Group](https://github.com/hudson-and-thames)
* [PortfolioLab](https://portfoliolab.readthedocs.io/en/latest/)

---

## Contact us
The best place to contact the team is via the Slack channel. Alternatively you can email us at: research@hudsonthames.org.

Looking forward to hearing from you!

## License
This project is licensed under an all rights reserved [licence](https://hudson-and-thames-portfoliolab.readthedocs-hosted.com/en/latest/additional_information/license.html).