Web Development
HTML Course
CSS Course
JavaScript Course
PHP Course
Python Course
SQL Course
SEO Course

Modules and Packages

Importing Standard Modules in Python

Python comes with a rich collection of standard modules that can be imported directly, without installation. These provide useful functionalities for math, data, files, system operations, and more.

Simple Import

import math
import datetime

Import with Alias

import math as m
print(m.sqrt(16))   # Displays: 4.0

Partial Import

from datetime import date
print(date.today())   # Displays: current date
Note:
  • Standard modules are part of the official Python distribution.
  • Aliases (as) help shorten the code.
  • Selective import (from ... import ...) reduces the namespace.

Creating Your Own Modules in Python

A module is a Python file containing functions, classes, or variables that can be reused in other files. Creating your own modules helps organize code and separate logic into clear components.

Creating a Module

# File: salut.py
def salut(name):
    return f"Hello, {name}!"

Importing the Module

# Main file: main.py
import salut

print(salut.salut("John"))   # Displays: Hello, John!

Selective Import

from salut import salut
print(salut("Anna"))   # Displays: Hello, Anna!
Note:
  • A module is any .py file that can be imported.
  • The module name must be valid and contain no spaces.
  • You can split your application into modules for a clearer and testable structure.

Python Standard Library: math - random - datetime - os

The Python standard library provides powerful modules for mathematical operations, random generation, date/time manipulation, and file system interaction.

math - Mathematical Functions

import math

print(math.sqrt(25))     # Displays: 5.0
print(math.pi)           # Displays: 3.141592653589793

random - Random Generation

import random

print(random.randint(1, 10))     # Integer between 1 and 10
print(random.choice(["red", "green", "blue"]))   # Random element from list

datetime - Working with Dates and Times

from datetime import datetime

now = datetime.now()
print(now.strftime("%d-%m-%Y %H:%M"))   # Displays current date and time

os - File System Interaction

import os

print(os.getcwd())       # Displays current directory
print(os.listdir())      # Lists files in directory
Note:
  • Modules from the standard library do not require separate installation.
  • math and random are useful in algorithms and simulations.
  • datetime is essential for working with time and scheduling.
  • os enables automation of file and directory tasks.

Installing Packages with pip

pip is the official package manager for Python. It allows you to install external libraries from the Python Package Index (PyPI) and integrate them into your projects.

Installing a Package

pip install requests

Checking Installed Packages

pip list

Updating a Package

pip install --upgrade requests

Uninstalling a Package

pip uninstall requests
Note:
  • Python must be correctly installed on your system to use pip.
  • Packages installed with pip can be used immediately via import.
  • You can install specific versions: pip install name==version.

Structure of a Python Package

A Python package is a directory containing one or more modules and a special file __init__.py. Packages allow organizing code logically and reusing components.

Basic Structure

project/
├── util/
│   ├── __init__.py
│   ├── calc.py
│   └── text.py
├── main.py

Importing from a Package

# File: main.py
from util.calc import add
from util.text import uppercase

The __init__.py File

# File: util/__init__.py
# Can be empty or expose common functions
Note:
  • The __init__.py file marks the directory as a Python package.
  • You can create nested packages for multi-level organization.
  • Imports must respect the folder structure.

Using venv for Virtual Environments in Python

venv is Python's standard module for creating virtual environments. They allow isolation of packages and dependencies per project, avoiding version conflicts.

Creating a Virtual Environment

python -m venv env

Activating the Environment

# Windows
env\Scripts\activate

# macOS / Linux
source env/bin/activate

Deactivating the Environment

deactivate

Installing Packages in the Environment

pip install flask
Note:
  • Each virtual environment has its own pip and installed packages.
  • Activating the environment changes the terminal prompt.
  • Using venv is recommended for any serious project.

🧠 Quiz - Modules and Packages in Python

Top