semvec/pypi-packages huggingface dataset:
silverscript 1.0.12
Silver is a customizable python based shell prompt
Requires Python: >=3.6

<h1>Silver - A Python shell prompt</h1>


                   �� Hi-Yo, Silver! Away!                      



<p align="justify">Silver is a customizable shell written in Python. Silver can run basic linux and windows commands. The source code of
silver is available at "https://github.com/AugustinJose1221/silver". Making custom commands and configuring commands 
do multiple tasks is possible by making required tweaks to the source code. The entire code is written in Python and 
compatible with Windows and Unix systems. Open issues to raise errors found while installation or runtime. Any 
additional features/commands can be added by making pull requests to the master git branch.</p>

Description
-----------
<p>
Release version &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;1.0<br>
Author &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Augustin Jose<br>
Python version &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3.6<br>
Supported Platforms &nbsp;&nbsp;Windows and UNIX<br>
</p>
typhonql-mlconnector 0.0.1
typhonql-mlconnector package for queries
Requires Python: >=3.6

# Prerequisites

```python
pip install requests 
pip install python-dotenv
python requires = '>=3.6'
```

# Use
```bash
1.This package has been developed with python3.
2.Once you install the package navigate to the package file 
  for example(Programs\Python\Python37\Lib\site-packages\'the package file name')
  and create an .env file like this:

	USER_NAME = ''
	PASS_WORD = ''
	QUERY_URL= ''
	HEALTH_URL= ''
	INGEST_URL= ''
```

3.After this, the files structure in the package file should look like this:

```bash
'the package file name'/
    __pycache__/
    __init__.py
    .env
```
4.Contact me for the credentials you must fill in the .env file.


5.The way to check if you can connect to the API is shown in the example below

```python
import typhonql_mlconnector
typhonql_mlconnector.health_check()
```

6.The way to get data from a select statement is shown in the example below

```python
import typhonql_mlconnector
data = typhonql_mlconnector.query(query_string)
```

7.The way to ingest a json object  is shown in the example below

```python
import typhonql_mlconnector
typhonql_mlconnector.ingest(name_of_entity, json_object_to_ingest)
```
pdepy 1.0.4
A Finite-Difference PDE solver.
Requires Python: >=3.6
Keywords: partial-differential-equations finite-difference-method

# PDEPy

[![Supported Python versions](https://img.shields.io/pypi/pyversions/pdepy.svg)](https://pypi.org/project/pdepy/)
[![PyPI version](https://badge.fury.io/py/pdepy.svg)](https://badge.fury.io/py/pdepy)
[![Build Status](https://travis-ci.org/olivertso/pdepy.svg?branch=master)](https://travis-ci.org/olivertso/pdepy)
[![Coverage Status](https://coveralls.io/repos/github/olivertso/pdepy/badge.svg?branch=master)](https://coveralls.io/github/olivertso/pdepy?branch=master)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)

A Python 3 library for solving initial and boundary value problems of some linear partial differential equations using finite-difference methods.

- Laplace
    - Implicit Central
- Parabolic
    - Explicit Central
    - Explicit Upwind
    - Implicit Central
    - Implicit Upwind
- Wave
    - Explicit
    - Implicit

## Usage

### Installation

```
pip install pdepy
```

### Examples

#### Laplace's Equation

```python
import numpy as np
from pdepy import laplace

xn, xf, yn, yf = 30, 3.0, 40, 4.0

x = np.linspace(0, xf, xn + 1)
y = np.linspace(0, yf, yn + 1)

f = lambda x, y: (x - 1) ** 2 - (y - 2) ** 2
bound_x0 = f(0, y)
bound_xf = f(xf, y)
bound_y0 = f(x, 0)
bound_yf = f(x, yf)

axis = x, y
conds = bound_x0, bound_xf, bound_y0, bound_yf

laplace.solve(axis, conds, method="ic")
```

#### Parabolic Equation

```python
import numpy as np
from pdepy import parabolic

xn, xf, yn, yf = 40, 4.0, 50, 0.5

x = np.linspace(0, xf, xn + 1)
y = np.linspace(0, yf, yn + 1)

init = x ** 2 - 4 * x + 5
bound = 5 * np.exp(-y)

p, q, r, s = 1, 1, -3, 3

axis = x, y
conds = init, bound, bound
params = p, q, r, s

parabolic.solve(axis, params, conds, method="iu")
```

#### Wave Equation

```python
import numpy as np
from pdepy import wave

xn, xf, yn, yf = 40, 1.0, 40, 1.0

x = np.linspace(0, xf, xn + 1)
y = np.linspace(0, yf, yn + 1)

d_init = 1
init = x * (1 - x)
bound = y * (1 - y)

axis = x, y
conds = d_init, init, bound, bound

wave.solve(axis, conds, method="i")
```

## Development

Create virtual environment and install requirements:
```
bin/setup_venv
```

### Other commands

Run command in virtual environment:
```
bin/run <command>
```

Install requirements:
```
bin/install_requirements
```

Format codebase:
```
bin/format
```

Lint codebase:
```
bin/lint
```

Run unit tests:
```
bin/test
```

## Publish

Package and distribute:
```
bin/publish
```