semvec/pypi-packages huggingface dataset:
MfP3 0.0.5
Step by step solutions for MfP3
Requires Python: >=3.6

# Notwendige Imports aus MfP3
```python
from MfP3 import putzer

from MfP3 import picard
```

# Notwendige Imports aus sympy

```python

from sympy.abc import x,y

from sympy.matrices import Matrix

# Zur Nutzung von sin, cos, etc. empfiehlt sich 
# from sympy import *

```

# Putzer

```python

M = Matrix([[1,-1], [1,3]])

putzer(M)

```

# Picard

```python

f = y**2

x0 = 0

y0 = 1

n = 3

picard(f,x0,y0,n)

```
parchment-doooooom 0.0.1
A grid based financial tool for generating easy to use dictionary objects
Requires Python: >=3.6

# Parchment

A grid based financial tool for generating easy to use dictionary objects

## Usage
```python
import parchment
from datetime import datetime

row_index = (
    ('Debt', 'dollar', 2),
    ('Revenue', 'dollar', 2),
    ('Ratio', 'percentage', 4),
    ('Days', 'int', 0),
)

period_data = [
    200000.00,
    30000.00,
    0.7500,
    22,
]

other_period_data = [
    120000.00,
    60000.00,
    0.5000,
    14,
]

my_grid = parchment.Grid(row_index)

my_grid.add_period(datetime(2020, 4, 1), period_data)
my_grid.add_period(datetime(2020, 5, 1), other_period_data)
my_grid.add_period(datetime(2020, 6, 1), period_data)
my_grid.add_period(datetime(2020, 7, 1), other_period_data)

print(my_grid.to_dict())

```