semvec/pypi-packages huggingface dataset:
GameBlock 0.2.2
A pygame framework
Requires Python: >=3.6

This package is a framework for pygame development.
It is intended to simplify the pygame usage while not changing the basics of pygame itself this package should also speed up game development. To get started you can go to the "gameblock/Examples" directory where you can find projects for beginning your game development.

This is the first python module I have created, it is not completed yet and will be regularly updated.

Thank you for using gameblock :)
nse-fno-expiry-calculator 1.0.1
Util to calculate expiry date for FNO instruments which also considers NSE holiday calendar.
Requires Python: >=3.6
Keywords: nse,expiry,nse fno,nse holiday,trading,stock markets

# Introduction to NSE-FNO-expiry-calculator

This package gives you an easy methods to calculate near and far weekly and monthly expiry dates which also considers NSE holiday calendar.

## Installation

    pip install nse_fno_expiry_calculator
    // if you are using pipenv, then execute below
    pipenv install nse_fno_expiry_calculator

## Usage

There are 4 methods which reurns near and far weekly and monthly expiry dates

    # print('today is '+str(pendulum.now().date()))
    # print('nearest weekly exp is '+str(getNearestWeeklyExpiryDate()))
    # print('next weekly exp is '+str(getNextWeeklyExpiryDate()))
    # print('nearest monthly exp is '+str(getNearestMonthlyExpiryDate()))
    # print('next month exp is '+str(getNextMonthlyExpiryDate()))
hydrogels 1.1.1
Package for creating and analysing hydrogels in ReaDDy
Requires Python: >=3.6

# hydrogels

[![Manylinux](https://github.com/debeshmandal/hydrogels/workflows/ManyLinux/badge.svg)](https://github.com/debeshmandal/hydrogels/actions?query=workflow%3ALinux)
[![MacOS](https://github.com/debeshmandal/hydrogels/workflows/MacOS/badge.svg)](https://github.com/debeshmandal/hydrogels/actions?query=workflow%3AMacOS)
[![Coverage](https://codecov.io/github/debeshmandal/hydrogels/coverage.svg?branch=master)](https://codecov.io/gh/debeshmandal/hydrogels)

## Simulation and Numerical Integration for Hydrogel Degradation

This repository contains a variety of tools for simulating hydrogels. The main part of the code is for generating configurations and simulation systems for use with the software package called ReaDDy.

Then, in the `theory` folder, a numerical integration framework for integrating differential equations can be found. This is used for describing the enzymatic degradation of a hydrogel nanoparticle. This module in particular contains C++/Python code that is bound using `pybind11`. Also contained in the main repository, are Jupyter Notebooks with examples of how to use the `hydrogels.theory` module.

### Pre-requisites:

`hydrogels` is available on Linux, MacOS and Windows using Python `3.6`, `3.7`, `3.8`, and `3.9`.

At the time of writing it is only possible to install the package on a Linux architecture. This requires the following prerequisites:
  - `gxx`
  - `pybind11`
  - `numpy`
  - `pandas`
  - [`readdy`](https://github.com/readdy/readdy)
  - `scipy`
  - `networkx`
  - [`softnanotools`](https://github.com/softnanolab/softnanotools)
  - [`starpolymers`](https://github.com/debeshmandal/starpolymers)

Installing most these packages is generally trivial and can be done using either `pip` or `anaconda`. However install `readdy` is typically done only by using `anaconda`.

```bash
# optional - only add if you don't have it already
conda config --add channels conda-forge

# install readdy
conda install -c readdy readdy
```

In our continuous integration, we provide a method for installing `readdy` via `pip`, but in some environments, in particular on local machines, problems locating `HDF5` can arise, hence we recommend using `conda` instead. Here is how to build `readdy` manually using `pip`:

```bash
git clone https://github.com/readdy/readdy
pushd readdy
pip install .
popd
```

### Installing `hydrogels`

To install, do the following command from the main directory:

```bash
pip install .
```

And to test (also from the main directory):


```bash
pytest --import-mode=importlib
```