Planning python package structure for publishing to pypi
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planning a python package structure for publishing to pypi is an important step to ensure that your package is well-organized, easy to maintain, and user-friendly. here is a guideline on how to structure your python package:
1. **choose a package name**: choose a unique and descriptive name for your package that is not already taken on pypi.
2. **create a root directory**: create a root directory for your package. this directory will contain all the necessary files and folders for your package.
3. **create a package directory**: inside the root directory, create a directory with the same name as your package. this directory will contain the actual python code for your package.
4. **add a setup.py file**: create a `setup.py` file in the root directory. this file will contain metadata about your package, such as its name, version, description, and dependencies.
5. **add a readme.md file**: create a `readme.md` file in the root directory to provide information about your package, including installation instructions, usage examples, and any other relevant details.
6. **add a license file**: include a `license` file in the root directory to specify the licensing terms for your package.
7. **create an init.py file**: inside the package directory, create an `__init__.py` file. this file can be left empty or used to import modules or define initialization code for your package.
8. **create python modules**: create one or more python modules inside the package directory. these modules will contain the actual code for your package. make sure to organize your code into logical units and keep related functionality together.
9. **add tests**: create a `tests` directory inside the package directory to store your unit tests. writing tests is crucial to ensure the reliability and correctness of your package.
10. **optional: add documentation**: consider adding documentation for your package using tools like sphinx. documentation is essential for users to understand how to ...
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Видео Planning python package structure for publishing to pypi канала CodeMade
planning a python package structure for publishing to pypi is an important step to ensure that your package is well-organized, easy to maintain, and user-friendly. here is a guideline on how to structure your python package:
1. **choose a package name**: choose a unique and descriptive name for your package that is not already taken on pypi.
2. **create a root directory**: create a root directory for your package. this directory will contain all the necessary files and folders for your package.
3. **create a package directory**: inside the root directory, create a directory with the same name as your package. this directory will contain the actual python code for your package.
4. **add a setup.py file**: create a `setup.py` file in the root directory. this file will contain metadata about your package, such as its name, version, description, and dependencies.
5. **add a readme.md file**: create a `readme.md` file in the root directory to provide information about your package, including installation instructions, usage examples, and any other relevant details.
6. **add a license file**: include a `license` file in the root directory to specify the licensing terms for your package.
7. **create an init.py file**: inside the package directory, create an `__init__.py` file. this file can be left empty or used to import modules or define initialization code for your package.
8. **create python modules**: create one or more python modules inside the package directory. these modules will contain the actual code for your package. make sure to organize your code into logical units and keep related functionality together.
9. **add tests**: create a `tests` directory inside the package directory to store your unit tests. writing tests is crucial to ensure the reliability and correctness of your package.
10. **optional: add documentation**: consider adding documentation for your package using tools like sphinx. documentation is essential for users to understand how to ...
#python package vs module
#python package naming conventions
#python packages for data science
#python package vs library
#python packages list
python package vs module
python package naming conventions
python packages for data science
python package vs library
python packages list
python package manager
python package index
python packages
python package version
python package structure
python motion planning
python planning tool
python planning to eat owner
planningsceneinterface python
python path planning
python route planning
python planning algorithm
python planning library
Видео Planning python package structure for publishing to pypi канала CodeMade
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18 июля 2024 г. 2:46:22
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