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Articles by Niharika Aitam
Page 12 of 14
List vs tuple vs dictionary in Python
Python provides three fundamental data structures for storing collections of data: lists, tuples, and dictionaries. Each serves different purposes and has unique characteristics that make them suitable for specific use cases. What is a List? List is a mutable data structure that stores multiple values in an ordered sequence. Lists are created using square brackets [] and can hold elements of different data types separated by commas. Lists support indexing (both positive and negative) and can be modified after creation by adding, removing, or changing elements. Syntax variable_name = [e1, e2, e3] ...
Read MoreHow to create an empty tuple in Python?
Tuple is one of the data structures of the Python programming language. It is used to store multiple values separated by commas in an ordered manner. It is immutable in the sense that once the tuple is created you cannot perform any operations like deleting, appending, etc. The elements in the tuple can be int, float, string, or binary data types, and it allows duplicates of the elements. It uses indexing for accessing the elements. There are different ways to create an empty tuple. Let's see each method in detail. ...
Read MoreHow do I look inside a Python object?
Python provides several built-in functions that help you inspect and explore the internal structure of objects. These introspection tools are essential for debugging, learning, and understanding how objects work in Python. Using the help() Function The help() function provides comprehensive documentation about an object, including its methods, attributes, and usage examples ? Example from math import pow help(pow) Help on built-in function pow in module math: pow(x, y, /) Return x**y (x to the power of y). Using the dir() Function The dir() function ...
Read MoreHow to find out if a Python object is a string?
In Python, you often need to check whether an object is a string before performing string-specific operations. Python provides several methods to determine if an object is a string type. Using isinstance() Method The isinstance() function is the recommended way to check if an object is a string. It returns True if the object is an instance of the specified type. Syntax isinstance(obj, str) Example # Test with different data types text = "python" number = 42 my_list = [1, 2, 3] print("Testing isinstance() method:") print(f"'{text}' is string: {isinstance(text, str)}") ...
Read MoreHow to attach a C method to existing Python class?
Python's performance can be enhanced by integrating C methods into existing Python classes. Major libraries like NumPy, OpenCV, and PyTorch use this approach to execute performance-critical code in C while maintaining Python's ease of use. Why Use C Methods in Python? Python's dynamic typing reduces performance because the interpreter must determine operand types before executing operations. C modules allow us to bypass this overhead by executing compiled machine code directly through Python wrappers. Setting Up the Environment First, install the required development package ? pip install setuptools You'll also need Python development ...
Read MoreWhat\'s the best place for python classes in a Django project?
Django is one of the most popular Python web frameworks, known for its scalability and comprehensive documentation. When building Django applications, organizing Python classes properly is crucial for maintainable and clean code. This article explores the best practices for placing Python classes in a Django project structure. Django Project Structure Overview A typical Django project contains several key files and directories ? manage.py − Command-line utility for interacting with the project __init__.py − Python package initialization file settings.py − Configuration settings for the Django application urls.py − URL routing configuration wsgi.py − Web Server Gateway Interface ...
Read MoreHow we can split Python class into multiple files?
Object-oriented programming (OOP) helps organize code using classes and objects. In Python, splitting large classes across multiple files improves code maintainability, readability, and reusability. This approach is particularly useful for complex applications where a single file would become too large to manage effectively. Why Split Classes into Multiple Files? When we create entire applications in a single class file, the code becomes difficult to maintain, debug, and modify. Splitting classes into multiple files offers better organization and makes the codebase more manageable. Advantages of Splitting Classes Improved Readability Organizing Python classes into separate modules and ...
Read MoreHow to organize Python classes in modules and/or packages
Python provides a powerful way to organize code using modules and packages. When classes grow large or numerous, organizing them properly makes code more maintainable, reusable, and easier to understand. Understanding Modules and Packages Modules are Python files containing classes, functions, and variables. They have a .py extension and serve as containers for related code. Packages are directories containing multiple modules along with an __init__.py file. They group related modules together. Modules with 300−400 lines of code benefit from being split into smaller, focused modules for better readability. Module names become global variables once imported, allowing access ...
Read MoreWhat are Getters/Setters methods for Python Class?
Encapsulation is one of the fundamental concepts in object-oriented programming (OOP). It describes the idea of wrapping data and the methods that work on data within one unit. This restricts accessing variables and methods directly and can prevent the accidental modification of data. In Python, getters and setters are methods used to access and modify private attributes of a class. These methods are a key part of encapsulation and help control how to access and update the data, especially when we want to protect the internal state of an object. What are Getter Methods? In Python, getter ...
Read MoreDjango CRUD (Create, Retrieve, Update, Delete) Function Based Views
CRUD is abbreviated as Create, Retrieve, Update and Delete Functions. In Django, we can perform all these CRUD operations on the data we created into the database. Now let’s create the views.py function based on the operation that we want to perform. Create Operation with Django Create is used to create or add new data entries to the database table. In the following snippet, we begin by importing both the model form and the corresponding model. Next, we proceed to check whether the request is a POST request. If it is a POST request, we create a new form ...
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