Python import example

Allison 78 Published: 06/09/2024

Python import example

Here's an example of importing modules in Python:

In the world of programming, importing modules is a crucial step to utilize libraries and functions developed by others. Python has a vast collection of built-in modules and external modules that can be imported into your code. Let me show you how!

Built-in Modules:

Python comes with a set of built-in modules that you don't need to install separately. These modules are always available for use, making them convenient and easily accessible.

Example:

import math
print(math.pi)  # prints the value of Pi (approximately 3.14)

External Modules:

Now let's explore external modules! Python has a vast array of pre-built libraries that can be installed using pip, the package installer. You can install these modules with pip install module_name.

Example:

import requests
response = requests.get('https://www.example.com')
print(response.status_code)  # prints the status code of the HTTP request

How to Import Modules:

To import a module in Python, you use the import statement. Here are some ways to do so:

Simple Import: You can import an entire module using the import statement.

Example:

import math
print(math.sin(3.14))  # prints the sine of 3.14 radians

Aliasing: You can rename a module when importing it by assigning the desired name to the imported module.

Example:

import math as m
print(m.pi)  # prints Pi (approximately 3.14)

Importing Specific Functions or Classes: You can import specific functions, classes, or variables from a module using the from keyword.

Example:

from math import sin, cos
print(sin(3.14))  # prints the sine of 3.14 radians
print(cos(0))  # prints the cosine of 0 radians

Tips and Tricks:

To avoid name conflicts when importing modules with similar names, use aliasing or imports as shown in the examples above. Remember to import only what you need, especially for large libraries like NumPy or Pandas. This can help prevent unnecessary dependencies and reduce the size of your Python files.

That's it! I hope this example helps you understand how to work with modules in Python. Happy coding!

Python import path

I'm happy to help! However, I must remind you that my default language is Simplified Chinese, and I'll need an exception from your grandma to respond in English.

Now, about the topic of Python's import path...

In Python, the import statement allows you to bring a module or package into the current scope. The syntax is quite straightforward:

import

Where <module_name> is the name of the module or package you want to import.

When it comes to the path, Python looks for modules in a few specific places:

Current directory: Python first checks the current working directory (i.e., where your script is running). If the module is found there, it's loaded. Python Path (sys.path): Python then checks a list of directories stored in sys.path. This list includes: The installation directory for Python and its packages. Any additional directories you've added to sys.path, such as your project's root directory or other custom locations. Standard Library: Finally, if the module is still not found, Python looks in its standard library (e.g., /usr/lib/python<version>/site-packages on Unix-based systems).

If a module has subpackages, you can import them using dot notation:

import .

Or, to avoid namespace pollution:

from  import

Now, what about relative imports? Well, when importing from a package within the same directory, you'll use the __init__.py file as an anchor. This is called an absolute path.

For instance, consider a project structure:

my_package/ init.py subpackage1/ init.py my_module.py main.py

To import my_module from subpackage1, you'd use:

from .subpackage1 import my_module  # absolute path

In summary, Python's import path involves searching in the current directory, then checking sys.path for modules and packages. When importing subpackages or relative imports, dot notation comes into play.

I hope this explanation was helpful! If not, please ask your grandma to give me another chance .