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python Data Structures

Data structures Python programming mein bahut important hote hain kyunki ye data ko organize aur manipulate karne ka efficient tareeka provide karte hain. Yahan kuch popular data structures ke concepts aur unke examples Python code ke saath diye gaye hain: 1. Lists: Lists Python mein ordered collections hote hain jo heterogeneous data types ko store…

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Python Functions

Functions Python mein reusable blocks of code hote hain jo specific task ko perform karte hain. Yeh code ko organize aur modular banane mein madad karte hain. Neeche kuch important concepts aur examples diye gaye hain jo functions ke use ko samjhate hain: 1. Basic Function Definition: Function define karne ke liye def keyword ka…

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Python Modules and Packages

Let’s delve into modules and packages in Python, which are essential for organizing and structuring code into reusable components. Modules are single Python files containing functions, classes, and variables, while packages are directories of modules. Here’s an overview with code examples: Modules A module is a file containing Python definitions and statements. It can be…

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Python File Handling

File handling in Python involves reading from and writing to files on the disk. It allows you to interact with external files to store or retrieve data. Here’s an overview of file handling with code examples: Reading from a File Reading Entire File python Reading Line by Line python Writing to a File Writing to…

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Python Object-Oriented Programming (OOP)

Object-Oriented Programming (OOP) is a programming paradigm that uses “objects” to design applications and organize code. Python supports OOP principles such as encapsulation, inheritance, and polymorphism. Let’s explore OOP concepts with code examples: 1. Defining a Class A class is a blueprint for creating objects. It defines attributes (data) and methods (functions) that the objects…

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Python Advanced Topics

Advanced topics in Python cover a wide range of concepts beyond the basics, including iterators, generators, decorators, context managers, and more. Let’s explore these advanced topics with code examples: 1. Iterators and Iterables Iterators are objects that implement the __iter__() and __next__() methods, allowing iteration over a sequence of elements. python 2. Generators Generators are…

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Python Error Handling

Error handling in Python involves catching and handling exceptions that may occur during program execution. Python provides a structured way to handle errors using try, except, finally, and else blocks. Let’s explore error handling with code examples: 1. Handling Specific Exceptions You can use try and except blocks to handle specific exceptions that may occur…

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Python Libraries

Python is rich with libraries that extend its capabilities for various tasks, including data manipulation, scientific computing, web development, machine learning, and more. Let’s explore some popular Python libraries along with code examples demonstrating their usage: 1. NumPy NumPy is a fundamental package for numerical computing with Python. It provides support for large, multi-dimensional arrays…

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Python Best Practices and Tips

Adhering to best practices in Python coding ensures readability, maintainability, and efficiency of your code. Here are some essential tips and practices along with code examples to help you write clean and effective Python code: 1. Use Meaningful Variable Names Choose descriptive variable names that convey the purpose of the variable. python 2. Follow PEP…

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