semvec/pypi-packages huggingface dataset:
ito-diffusions 1.4.1
Library for stochastic process simulation
Requires Python: >=3.6

### ito_diffusions
Libraries for stochastic processes simulation and visualization including:
* Ito diffusion : Brownian motion, Geometric Brownian motion, Vasicek, CIR...
* Jump processes : Ito diffusion driven by a Levy process i.e with a jump component with a given intensity and jump size distribution;
* Multidimensional processes, stochastic volatility diffusions (SABR...);
* Fractional Brownian motion, Karhunen-Loeve expansion, fractional diffusions;
* Times series models (AR, MA, ARMA, ARCH, GARCH, NAGARCH...);
* Self-Avoiding Walks (SAW), Schramm-Loewner Evolution (SLE).

**To install** : pip install ito-diffusions
https://pypi.org/project/ito-diffusions/


**To test** : python -m pytest

For numerous examples : https://github.com/sauxpa/stochastic

<img src="./brownian_sheaf.png"
     style="float: left; margin-right: 10px;" />

<img src="./nagarch.png"
     style="float: left; margin-right: 10px;" />

<img src="./saw_square.png"
     style="float: left; margin-right: 10px;" />

<img src="./sle_peaks.png"
     style="float: left; margin-right: 10px;" />
funcio 0.0.1a1
Funcio is a versatile utility library that provides ease-of-use, flexibility, and extensibility tools to simplify common programming tasks and enhance the reliability and performance of the Python code.
Requires Python: >=3.7
Keywords: async,cache,context manager,limit,retry,timeout

# Funcio
Funcio is a versatile utility library that provides ease-of-use, flexibility, and extensibility tools to simplify common programming tasks and enhance the reliability and performance of the Python code.

### Warning: This library is still in development and is not ready for production use.

## Installation
```bash
pip install funcio
```

## Usage

Retry a function call until it succeeds:
```python
from funcio import retry

@retry(3)
def foo():
    # do something
    pass

foo()
```

Retry code block with context manager:
```python
from funcio import retry

with retry(3):
    # do something
    pass
```

## License
[MIT](https://choosealicense.com/licenses/mit/)
cpdb-api 1.0.8
An API to access the NewClimate Institute's Climate Policy Database
Requires Python: >=3.7
Keywords: nci,cpdb,climatepolicydatabase,newclimateinstitute

A Python API for NewClimate Institute's ClimatePolicy DataBase (CPDB). You can also view the database via the website at https://climatepolicydatabase.org/.

# Installation

Installation is simple, via pip.

```
pip install cpdb-api
```

If you *need* to specify a version, please do this (we strongly recommend against this unless you know what you're doing):
```
pip install cpdb-api==<version e.g. 1.0.5>
```

# Usage

```
from cpdb_api import request 

r = request.Request()

# set filters
r.set_country("IND")
r.set_decision_date(2010)
r.set_policy_status("In force")
r.add_sector("Electricity and heat")
r.add_sector("Coal")
r.add_policy_instrument("Energy and other taxes")
r.add_mitigation_area("Renewables")

# Issue the request (this returns a pandas dataframe, if you want to parse it programmatically)
r.issue()

# save the result to CSV file
r.save_csv("filtered_cpdb.csv")
```

# Releasing

To release to PyPi (pip), do the following:

1. Increment the version number in pyproject.toml
2. Run the following commands:
```
$ python3 -m build
$ python3 -m twine upload dist/*
```