1. Iterable
- Explanation: An iterable is any Python object that can return its elements one at a time, allowing it to be iterated over in a loop. Examples include lists, tuples, dictionaries, and strings.
my_list = [1, 2, 3] for item in my_list: print(item)
2. Generator
- Explanation: A generator is a special type of iterable that generates values one at a time as they are needed, using the '
yield'
keyword. Generators are memory-efficient.
def my_generator(): yield 1 yield 2 yield 3
3. Virtual Environment
- Explanation: A virtual environment is an isolated environment that allows you to manage dependencies separately for different projects, avoiding conflicts.
python -m venv myenv # Creates a virtual environment named 'myenv'.
4. PIP
- Explanation: PIP is the package installer for Python. It allows you to install and manage additional libraries that are not part of the Python standard library.
pip install requests # Installs the requests library. pip install numpy # Installs the numpy library. pip install pandas # Installs the pandas library. pip install matplotlib # Installs the matplotlib library. pip install scikit-learn # Installs the scikit-learn library. pip install beautifulsoup4 # Installs the beautifulsoup4 library. pip install flask # Installs the flask web framework. pip install django # Installs the Django web framework. pip install tensorflow # Installs the TensorFlow library. pip install pytest # Installs the pytest testing framework. pip install jupyter # Installs the Jupyter Notebook interface.
5. Docstring
- Explanation: A docstring is a string literal that appears right after the definition of a function, method, class, or module. It is used to document the purpose and usage of the code.
def my_function(): """This is a docstring explaining what the function does.""" pass
Alright that's all for today, see you in our next tutorial!
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