semvec/pypi-packages huggingface dataset:
cloca 1.1.1
Global Clock Python Library

### cloca - Global Clock Python Library

[![License](https://img.shields.io/badge/license-GPL%203.0-blue.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html)

cloca is a simple Python library that provides a global clock with functionalities to increment time, read the current time, and reset the clock. It is designed to be used across multiple modules, ensuring they all share the same state.

### Features

- Global clock with manual time incrementation.
- Read the current time from anywhere in your Python project.
- Obtain future time after a specified delay.
- Reset the clock to zero as needed.

### Installation

You can install cloca using pip:

```
pip install cloca
```

### Usage

#### Importing cloca

```python
from cloca import increase, now, reset
```

#### Increasing Time

Use the `increase` function to manually increment the global clock time by a specified amount.

```python
# Increase time by 5 units
increase(5)
```

#### Reading Current Time

Use the `now` function to get the current time from anywhere in your project.

```python
current_time = now()
print(f"Current time: {current_time}")
```

#### Resetting the Clock

You can reset the global clock to zero using the `reset` function.

```python
reset()
```

### Example

Here's a simple example showcasing the usage of cloca:

```python
from cloca import increase, now

# Increase time by 10 units
increase(10)

# Read the current time
current_time = now()
print(f"Current time: {current_time}")

# Reset the clock to zero
reset()

# Read the time after resetting
current_time = now()
print(f"Current time after reset: {current_time}")
```

### About the Name

The name "cloca" comes from the Latin word "clocca" (also spelled "cloca"), which means "bell." In this context, it represents a bell-like timekeeping mechanism. Just like a bell that rings to mark the passing of time, cloca acts as a global clock to manage time in Python projects.

### License

This project is licensed under the GNU General Public License v3.0 - see the [LICENSE](LICENSE) file for details.

### Contributing

Contributions to cloca are welcome! Feel free to open issues and submit pull requests for any bug fixes or new features.

### Issues

If you encounter any problems or have questions, please feel free to open an issue [here](https://github.com/ahmad-siavashi/cloca/issues).

### Acknowledgments

This project was inspired by the need for a simple global clock for Python projects.
fudstop 1.12
Utilize several market-data APIs in production-ready format for real-time and simulated market analysis.
Keywords: trading,stocks,options,crypto,forex,indices,discord

## ```pip install api_master```



A terminal is being built: [polygonsdks](https://polygonsdks.herokuapp.com/)

# Welcome to the Polygon.io toolkit

This is a tool-kit designed for polygon.io users as well as anyone looking to integrate real-time data feeds into their personal Discord servers.

I'll be automating the creation process over-time, such as webhook and channel creation, as well as incorporating a stream-lined way to recieve

Discord feeds based upon your personal preference.


To view more in-depth README - please see the *read-me* folder.


Any questions can be sent to chuckdustin12@gmail.com and I'll do my best to reply promptly.


Here's a general walkthrough:


### STEP 1:
---
Visit https://www.polygon.io if you're wanting to work with their robust real-time data. Use code FUDSTOP at checkout to recieve a 10% discount.


Once you have your API key, you can place it in "cfg.py" after downloading or cloning the repo. Replace "YOUR POLYGON API KEY GOES HERE" with your API KEY.

---


### STEP 2:
---
You'll see five files in the root directory -

- 1. get_latest_crypto_data.py
- 2. get_latest_forex_data.py
- 3. get_latest_indices_data.py
- 4. get_latest_options_data.py
- 5. get_latest_ticker_data.py

Once you have your key, and depending on the service you chose - you can select the corresponding file and run it to generate a fresh spreadsheet of market-wide data.

For example - if you chose the stocks subscription - you would select *get_latest_ticker_data.py* and run it after placing your APIKEY into "cfg.py".

Once you have the file - you can then immediately utilize the *simulated_markets* sub-folder found in the *examples* folder to run a simulated options market or stock market data-stream using the latest data.

You can find real-time market stream examples in the *realtime_markets* folder.

If interested in the Discord aspect of this project - please see the discord readme inside of the *read-me* folder.
simple-swag 0.1.4
"Simple Website Auto Generator"
Requires Python: >=3.6

# simple-swag

`swag` is a simple Static Website Auto-Generator (also known as a
[Static Site Generator](https://en.wikipedia.org/wiki/Static_site_generator) or SSG).

To use it, first install to your Python environment:

```shell
pip install git+https://github.com/peterprescott/simple-swag
```

Then make a new folder for your site:

```shell
mkdir new-site
cd new-site
```

And use `swag` to `start` a new site:

```shell
swag start
```

Then serve it locally:

```shell
swag serve
```
svgdiagram 1.5.0
Create SVG diagrams with python

# SVG Diagram

Library for creating `*.svg` diagrams (Gantt, Network, GitBranching)
with also eports available to `*.png`, `*.eps`, `*.ps` (through `cariosvg`).

The library uses its own library for creating the `*.svg` files.

## Install

```
pip install svgdiagram
```

## Diagrams

### Gantt

The creation of a Gantt chart is controlled trough a dictionary / json file.
Executing the script

```py
from svgdiagram import Gantt

content = {
    "swimlanes": [
        {
            "name": "releases",
            "milestones": [
                {
                    "name": "candidate",
                    "due_date": "2022-09-02",
                },
                {
                    "name": "release",
                    "due_date": "2022-09-08",
                },
            ],
            "tasks": [
                {
                    "name": "bugfix",
                    "start_date": "2022-09-02",
                    "end_date": "2022-09-08",
                }
            ]
        }
    ]
}

gantt = Gantt(content)
gantt.write_svg('readme/images/simple_gantt.svg')
```

results in the following Gantt chart:

![Simple Gantt](https://raw.githubusercontent.com/MatthiasRieck/svgdiagram/main/readme/images/simple_gantt.svg)
walter-kit 0.0.2
Source code Repository
Requires Python: >=3.6

scdev_kit: 프       로젝트 디렉토리로 보면 된다.
src:                소스가 들어 있는 위치이다.
scdev_pd_column:    소스내부에 패키지 이름이 된다.
init.py:            패키지 디렉토리 내부에 파일들이 모듈임을 알려준다.
example.py:         모듈이 작성된 파일이다.
LICENSE.txt:        패키지의 라이선스를 정의한 파일이다.
pyproject.toml:     프로젝트에 필요한 라이브러리에 대한 내역을 기술해준다.
README.md:          프로젝트 라이브러리 사용 설명서를 기술한다.
setup.py:           빌드를 위한 빌드 정보를 기술하는 파일이다.