- Python Introduction
- Python - Overview
- Python - History and Evolution
- Python - Significance in Modern Development
- Python - Understanding Python's design philosophy and the Zen of Python
- Python - Installing Python and Setting up the Development Environment
- Python - Setting Up the Development Environment
- Python - Basic Syntax and Execution of Python Scripts
- Python - Getting Started to Python
- Python Basics
- Python - Control flow (If statements, Loops - For and While)
- Python - Operators (Arithmetic, Comparison, Logical, Assignment)
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Logical Operators
- Python - Assignment Operators
- Python - Integers (int)
- Python - Floats (float)
- Python - Strings (str)
- Python - Loop Control Statements
- Python - Loops
- Python - If Statements
- Python - Python's built-in functions
- Python - Using Built-in Functions
- Python - Examples of Common Built-in Functions
- Python Data Structures
- Python - Understanding Lists, Tuples, Sets, and Dictionaries
- Python - Lists
- Python - Tuples
- Python - Sets
- Python - Dictionaries
- Python - Operations on Data Structures (Indexing, Slicing, Appending, Removing)
- Python - Advanced Usage
- Python - Advanced Data Manipulation Techniques (List Comprehension, Dictionary comprehension)
- Python - List Comprehensions
- Python - Dictionary Comprehensions
- Python Functions and Modules
- Python - Defining a Function
- Python - Function arguments and return values
- Python - Function Arguments
- Python - Return Values
- Python - Defining and calling functions
- Python - Using the Return Value
- Python - Calling the Function with Arguments
- Python - Creating a Module
- Python - Importing a Module
- Python - Creating a Package
- Python - Importing from a Package
- Python - Creating and importing modules and packages
- Python - Introduction to Python standard libraries.
- Python - File and Directory Access
- Python - Internet Data Handling
- Python - Networking
- Python - Data Persistence and Serialization
- Python - Data Compression and Archiving
- Python - Concurrent Execution
- Python - Mathematics
- Python - Date and Time
- Python - Development Tools
- Python Object-Oriented Programming
- Python - Understanding classes and objects
- Python - Understanding Classes
- Python - Understanding Objects
- Python - Inheritance, encapsulation, and polymorphism
- Python - The constructor, class variables, and instance variables
- Python - Magic methods and their importance
- Python Error Handling and Debugging
- Python - Exceptions
- Python - Working Code Sample Demonstrating Both
- Python - Handling exceptions with try-except blocks
- Python - Syntax Errors versus Exceptions
- Python - Using logging for Debugging and Error tracking
- Python Working with Files
- Python - Reading from and writing to files
- Python - Writing to a File
- Python - Reading from a File
- Python - Combined Example of Reading and Writing
- Python - Understanding file handling modes
- Python - Common File Handling Modes
- Python - Working with different file formats (text, CSV, JSON)
- Python - Working with Text Files
- Python - Working with JSON Files
- Python - Working with CSV Files
- Python Web Scraping
- Python - Introduction to Beautiful Soup and requests library
- Python - Beautiful Soup
- Python - Requests Library
- Python - Legality of Web Scraping
- Python - Overview of web scraping and its legality
- Python - Combined Example: Using Both Requests and Beautiful Soup
- Python - Conclusion
Python - Creating and importing modules and packages
Creating and Importing Modules and Packages in Python
In Python, namespace management, reusability, and code structure are improved by creating and importing modules and packages.
A module is a self-contained Python file that contains Python statements and definitions, a file named "file_name.py" can be considered as a module named "file_name" which can be imported with the help of import statements. However, one may need clarification about the difference between module and package.
Packages are a collection of modules in directories that give structure and hierarchy to the modules, whereas a module is a single Python file.
Advantages of modules:
- Reusability: Working with modules makes the code reusability a reality.
- Simplicity: The module helps us to focus on a small portion of the problem, rather than focusing on the entire problem.
- Scoping: It gives a separate namespace defined by a module that helps to avoid collisions between identifiers.
Advantages of Packages:
- Modularity & organization: It helps us to organize code into small, reusable modules. Instead of having a large, monolithic codebase. We can break it down into logical components that are easy to maintain and understand.
- Namespace management: Packages create separate namespaces, avoiding name collisions between modules with the same name. This is especially useful in large projects or when using third-party libraries.
- Reusability: We can reuse the code within a package across different projects.
- Scalability: This helps us scale the project code base as the project size grows.
- Encapsulation: With the help of encapsulation we can expose only the necessary parts of a module or package through the __init__.py file, keeping internal details hidden from the rest of the codebase.
- Distribution: This makes it simple to share our code and dependencies with the Python community.
- Maintainability: By separating concerns into packages, it becomes easier to maintain and update specific modules without affecting other parts of the code.
We can improve the readability, maintainability, and reusability of your Python code by organizing it through the creation and import of modules and packages. By efficiently utilizing namespaces, it also aids in preventing naming conflicts.
