mcwpy 0.0.10

A new way to create Minecraft datapacks

Minecraft-Datapacks-Generator

Description:

A new way of coding Minecraft. Minecraft is a game that you can play on your computer. It is a popular game for people who are interested in building their own worlds. And since a way to code the game itself has been implemented, I tried it. But it was not simple. So I decided to make a generator for the Minecraft Datapacks, so people can make their own Datapacks easily, even though they still need to know Python until I can make it look like Scratch or something this easy.

Installation:

• First of all make sure you have one of the latest Python version installed on your computer.
• Ensure you also have pip installed: try running the command "pip3 -V" in a terminal.
• If this gets you an error message follow these steps to install it.
• Once you have Python and pip installed, run the command: "pip3 install mcwpy".

Usage:

Now you should be able to import the library in your new Python programs you can use the project below to help you get started with the library:

from mcwpy import *

• Create and compile your own datapack.
• Once the datapack is generated, paste it in the datapacks folder of your Minecraft world.
• Type /reload to load the datapack.
• Have fun playing with your brand new handmade datapack!

Example:

from mcwpy import *

# Since this is still in development, this should only print "Hello from the MCWPy community :)".

Contributing:

If you want to contribute to this project, you can do so by forking it and sending a pull request, I am opened to any idea and contribution.

Credits:

Thanks to @theskyblockman for the idea of using workspaces.

0.0.10 (2021/07/30)

• Fixed library import issues.

0.0.7 (2021/07/30)

• Added requests==2.26.0 to REQUIREMENTS.txt.
• Added tests.py in which unit tests are and will be written.
• Added workspace.py to create the class Workspace which handles the Datapack workspaces.
• Improved the README.md.
• Improved the Datapack's workspaces default attribute.
• Removed test.py.
• Wrote several tests for the Datapack class (datapack.py).

0.0.6 (2021/07/29)

• Fixed version 0.0.5 by using relative imports.
• Printing the library version when imported.

0.0.5 (2021/07/29)

• Fixed version 0.0.4 by removing inputs in setup.py.
• Updated verify_setup.py to check if the display format is correct.

0.0.4 (2021/07/29)

• Added ANSI escape sequences to the output for prettier messages (ansi_escape_sequences.py).
• Added an automatic version code for Datapacks with unspecified versions.
• Added verify_setup.py to check if the package can be created.
• Changed warnings to be easier to read.
• Version 0.0.3 did not work so MCWPy will be developed without subfolders.

0.0.3 (2021/07/29)

• Attempt to use subfolders...
• If creating a Datapack using the MCWPy library works then it is a success.

0.0.2 (2021/07/28)

• Made the library check it is running on Python 3.9.5 or above.

0.0.1 (2021/07/28)

• Fixed (or tried to) CHANGELOG.md, LICENSE and README.md looks on pypi.org.

Initial (2021/07/28)

• Created a setup.py file to setup the library.
• Created two functions to add or substract numbers together.
• Created mcwpy\__init__.py.
• Created REQUIREMENTS.txt.
• Used python3 setup.py sdist in a terminal to create the library's first package.
• Used twine upload --repository-url https://upload.pypi.org/legacy/ dist/* to upload the library's first package on pypi.
• Wrote LICENSE.
• Wrote MANIFEST.md.
• Wrote README.md.