semvec/pypi-packages huggingface dataset:
gilfoyle 0.915
Gilfoyle is a Python-based report generator for data scientists who use Pandas.
License: MIT
Keywords: python,reports,reporting,pandas,pdf

# Gilfoyle
Gilfoyle is a report generation tool for Python which makes it quick and easy to create stylish looking reports or presentations using data. 

#### Installation
You can install Gilfoyle by entering `pip3 install gilfoyle` in your terminal. 

#### Usage
Gilfoyle can be used within a regular Python script or from inside a Jupyter notebook. See the `example.py`
file for some working examples. 

```python
# Load packages
import pandas as pd
from gilfoyle import report

# Define output filename
pdf = report.Report(output='example.pdf')

# Set report title
pdf.set_title('Monthly ecommerce report')

# Create payload
payload = pdf.get_payload()

# Add a cover slide
payload = pdf.add_page(payload,
                       page_type='cover',
                       page_title='Monthly report',
                       page_subheading='Matt Clarke')

# Fetch your data
df = pd.read_csv('data.csv', 
                 skiprows=1,
                 names=['Period', 'Entrances', 'Sessions', 'Pageviews',
                        'Transactions', 'Conversion Rate', 'AOV']).head(13)

payload = pdf.add_page(payload,
                       page_type='report',
                       page_layout='simple',
                       page_title='Organic search',
                       page_dataframe=df
                       )

# Save to PDF
pdf.create_report(payload, verbose=True, output='pdf')
```


#### Dependencies

Gilfoyle is written in Python 3 and uses the Jinja 2 templating engine, the Bulma HTML and CSS framework, and the Weasyprint PDF generator package. Gilfoyle is compatible with Pandas and can automatically turn your dataframes into tables.
sciformlib 1.0.0.dev2
A Simplified Science Formula Library, to solve science problems with few more easy steps.
License: MIT

# Sciformlib
Sciformlib(Science Formula Library) is a library created to make science formulations and calculations easier. This library comprises many scientific formulations already written which is easy to use and deploy.

## Installation
```pip install sciformlib```

## How to use it?
```from sciformlib import *```
Using this command you can import all the script files in the module

## Script Usage

```sum_of_pos_int_pow(base_value,start_point,end_point)```

It is used to find the sum of same base integers with increasing power
eg: if base value = 2 , start\_point = 3 , end\_point = 7
it evaluates as 2³+2⁴+2⁵+2⁶+2⁷ (Geometric Progression)

### Mechanics - Instantaneous Velocity
```mechanics_instant_velocity(pos,time)```

pos = distance , and time = time

### Mechanics - Average Velocity
```mechanics_average_velocity(initial_pos,final_pos,initial_time,final_time)```

### Displacement - Formula 1 
```mechanics_displacement_f1(initial_velocity,acceleration,time```

### Displacement - Formula 2
```mechanics_displacement_f2(initial_velocity,final_velocity,time)```

### Final Velocity - Formula 1 
```mechanics_velocity_f_f1(initial_velocity,acceleration,time)```

### Final Velocity - Formula 2
```mechanics_velocity_f_f2(initial_velocity,acceleration,position)```

This function gives value of "v not v²"

### Acceleration 

```mechanics_acce_f1(initial_velocity,final_velocity,time)```

### Instantaneous Acceleration

```mechanics_instant_acce(velocity,time)```

### Average Acceleration


```mechanics_average_acce(final_velocity,initial_velocity,final_time,initial_time)```
## License

MIT LISCENSE

© 2021 Iamrealbhuvi .

This repository is licensed under the MIT license. See LICENSE for details.