semvec/pypi-packages huggingface dataset:
AutoMCServer-Carlover101 1.2
Automatic Minecraft Server installer.
Requires Python: >=3.6

# AutoMCServer

This is a project for those who don't know have the technical knowledge to create a Minecraft Server or those who don't want to.

Please leave any comments/suggestions on how I could improve this project. (It's appreciated)

Thanks for using my work!

# Instructions

# **Warning: This only works on linux/debian devices**.  Windows is in developement.

After you download the project:
1. Extract it into whatever folder you want to.

2. Open the command line and navigate to the directory.

3. Run **python3 script_main.py** in the terminal. Note - If you don't have Python installed, go to [python.org](https://www.python.org/downloads/) for help.

4. When you are asked to choose between the four types of servers, choose the Vanilla option if you don't know what the others options are.

5. The terminal will then ask you if you want to accept the EULA, type **Yes** or **No**.

6. Then you will be asked if you want to format the EULA, type **Yes** or **No**
  *- If you choose to format the EULA, it will go through all of the options. If your answer does not fit the requirements, it will fall back onto the default. And, if you do not know what to answer, just leave it blank and it will enter the default.*

7. After a few more seconds it should then start up the minecraft server.

8. Connect to it in minecraft by typing in the ip that the program will print out into the *server address* box.

9. It should then pop up. Note - If it does not pop up or it says *Can't Resolve Hostname*/*Can't Connect To Server* then you aren't plugged into LAN/Ethernet. Also, you can't use this server over Wi-fi if you want to make it public.

*If you want to download the files from the command line instead, then type* **cd ~/Downloads** *then* **wget -O AutoMCServer.zip "https://github.com/Carlover101/AutoMCServer/archive/main.zip"** *and it will download the same files.*

# Thanks Again! And, remember, questions/comments are appreciated.


________________________________________________________________________________________________________________________


# Security Policy

## Supported Versions

:heavy_check_mark: = supported

:white_check_mark: = last security update

:x: = not supported

| Version | Supported          |
| ------- | ------------------ |
|   1.2   | :heavy_check_mark: |
|   1.1   | :heavy_check_mark: |
|   1.0   | :white_check_mark: |


## Reporting a Vulnerability

Report a vulnerability by emailing me at my [email](mailto:zmanmustang2017@gmail.com)

You can expect an update within 48 hours.
whale-pipelines 2.0.0b3
A pared-down metadata scraper + SQL runner.
Requires Python: >=3.6

# whale-pipelines

whale-pipelines is a library based on amundsen's databuilder that enables easy extraction of metadata into whale's markdown format. The library references static config files in `~/.whale/` to establish connections and customize the scraping process. Whale also provides hooks into SQLAlchemy for easy execution of SQL queries against these locally defined connections, without having to specify connection strings at every request.

For information on the full CLI platform, visit [whale](https://github.com/dataframehq/whale).

There are two main functions: `pull`, which handles metadata extraction, and `run`, which is enables execution of SQL queries.

## `pull`
While [whale](https://github.com/dataframehq/whale) invokes a `build_script.py` function to run `pull`, it does nothing else than call `pull()`, with some logging set up around it. If, therefore, you'd like to pare down/write a custom CI/CD pipeline, all you need to do is:

```
pip install whale-pipelines
```

then run:
```
import whale as wh
wh.pull()
```

## `run`
While libraries like pydobc, sqlalchemy, pyhive, etc. provide easy-to-use interfaces against a warehouse, the stateless nature of these libraries can make it a bit repetitive -- whenever you need to write a query, you generally need to open a cursor, specifying your warehouse URI and credentials. While somewhat trivial, `run` simply wraps SQLAlchemy, enabling you to open a connection automatically against connections defined in `~/.whale/config/connections.yaml`.

To use this, simply run:
```
import whale as wh
wh.run()
```

A `warehouse_name` kwarg can be specified, which will force `run` to establish a connection with the first warehouse with the corresponding `name` field matching the argument passed. If not given, the first warehouse in the list will be used.