How to create your own library in python jupyter notebook
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- Опубликовано: 12 сен 2024
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creating your own library in python is a great way to package reusable code for your projects. in this tutorial, i'll guide you through the steps to create a simple library in a jupyter notebook, including how to structure your code, create modules, and use your library in other notebooks.
step 1: set up your project structure
first, let's create a directory for your library. you can do this using the terminal or command prompt. for this example, we'll create a library called `mylibrary`.
inside the `mylibrary` directory, create the following structure:
- `__init__.py` is required for python to recognize the directory as a package.
- `math_functions.py` will contain some mathematical functions.
- `string_functions.py` will contain some string manipulation functions.
step 2: create your library code
now, let's write some code in these files.
#### `math_functions.py`
open `math_functions.py` and add the following code:
#### `string_functions.py`
now, open `string_functions.py` and add the following code:
step 3: use your library in a jupyter notebook
now that your library code is set up, you can start using it in a jupyter notebook. to do this, follow these steps:
1. launch jupyter notebook in your terminal:
2. in the jupyter interface, create a new notebook (e.g., `test_mylibrary.ipynb`).
3. import your library functions. make sure to set the working directory to where your library is located. you can do this by running the following code in a notebook cell:
replace `path_to_your_mylibrary_directory` with the actual path to your `mylibrary` directory.
4. now you can import and use your library functions:
step 4: testing your library
it’s a good practice to test your library functions. you can create a separate test notebook or use a testing framework like `unittest` or `pytest`.
for quick testing, you can add some assertions directly in your notebook:
conclusion
you've just created a simple python library w ...
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