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  1. www.programiz.com › python-programming › examplesPython Examples - Programiz

    The best way to learn Python is by practicing examples. This page contains examples on basic concepts of Python. We encourage you to try these examples on your own before looking at the solution. All the programs on this page are tested and should work on all platforms.

    • Basic Programs: In this section, you will find all the basic Python programming examples. So, explore the section and complete the basic stage of Python programming.
    • Array Programs: To scale up Array logic, try out the below-listed Python array programming examples. Here, you will find all the important Python examples that are related to the Python array concept.
    • List Programs: Explore the below section and try out all the important Python List programming examples. Python program to interchange first and last elements in a list.
    • Matrix Programs: Get a detailed list of Python Matrix examples and boost your understanding of matrix concepts in Python. Python program to add two Matrices.
    • List of Python Programming Exercises
    • Python Conditional Statement Exercises
    • Python List Exercises
    • Python String Exercises
    • Python Tuple Exercises
    • Python Dictionary Exercises
    • Python Set Exercises
    • Python Matrix Exercises
    • Python Functions Exercises
    • Python Oops Exercises

    In the below section, we have gathered chapter-wise Python exercises with solutions. So, scroll down to the relevant topics and try to solve the Python program practice set. To complement the Python exercises, you can further test your skills on the GeeksforGeeks Practice Platform, which includes numerous Python-related challenges and solutions. Le...

    In this Section, we will explore various exercises involving Python’s conditional statementsand loops, providing you with hands-on experience and practical examples to enhance your coding skills. 1. Mark Even and Odd 2. Check the status of Integer 3. Trouble with Angry Friends 4. Check for Equal Occurrences of ‘cat’ and ‘hat’ in a String 5. Conditi...

    In this section, we have compiled a variety of Python listexercises that range from basic to advanced levels. These exercises are designed to help you master the fundamentals of Python lists, including list creation, indexing, slicing, and common operations like appending, inserting, and removing elements. 1. Min and Max in Array 2. Union of two ar...

    In this section, we provide a variety of Python stringexercises designed to enhance your understanding of string manipulation and operations. Explore these exercises and upsacle your Python programming skills. 1. Exploring String Methods (swapcase, find, strip…) 2. Exploring String Methods(upper, lower, startswith…) 3. Convert String to LowerCase 4...

    Here, you’ll find a range of Python tupleexercises designed to help you understand and master this essential data structure. Tuples are immutable sequences used to store collections of items, and they’re a fundamental part of Python programming. 1. Find the size of a Tuple 2. Maximum and Minimum K elements in Tuple 3. Sum of tuple elements 4. Row-w...

    In this section, you’ll find a variety of Python dictionaryexercises designed to help you master the use of dictionaries, one of Python’s most powerful and versatile data structures. 1. Understanding Python Dictionaries 2. Exploring Dictionary Operations 3. Counting Element Frequencies

    This section offers a range of Python set exercises that will help you build a strong understanding of set operations in Python. You’ll practice adding and removing elements, performing operations like union, intersection, and difference, and using set comprehensions. 1. Important functions in Set 2. Operations on Sets

    Here, in this section you’ll find a collection of Python matrixexercises tailored for beginners and advanced Python programmers. These exercises focus on essential skills such as creating and manipulating matrices, performing operations like addition, subtraction, multiplication, and more. 1. Matrix Operations 2. Last cell in a Matrix 3. Rotate a M...

    This section offers a variety of exercises focused on Python functionsto help you master this essential programming concept. You’ll learn how to define functions, work with parameters and return values, and explore advanced topics like lambda functions, decorators, and recursion. 1. How to get list of parameters name from a function in Python? 2. H...

    Here in this practice section, you’ll find exercises focused on Object-Oriented Programming (OOP) concepts in Python. These exercises are designed to help you understand and implement key OOP principles such as classes, objects, inheritance, polymorphism, encapsulation, and abstraction. 1. Python program to build flashcard using class in Python 2. ...

  2. Our curated list features a wide range of Python program examples, each designed to challenge and inspire you. All programs in Python have their dedicated page, offering detailed code explanations, step-by-step instructions, and practical Python examples .

    • Cython. Cython is a C language-based compiler written in Python and C. It is the default compiler for Python. Advantages of Cython. It is the most widely used compiler.
    • Jython. Jython is a Java-based compiler written in Python and Java. Unlike Cython, it compiles to a .class file and can be used with Java Virtual Machine.
    • PyPy. Armin Rigo developed PyPy using only Python programming language to replace the default compiler, Cython and released it in 2007. Advantages of PyPy.
    • IronPython. Jim Hugunin developed the IronPython using the language C# to integrate Python code with the .Net framework, and Mono and released it in September 2006.
  3. Sep 24, 2024 · Python is a widely used high-level, general-purpose, interpreted, dynamic programming language. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java.

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  5. Mar 18, 2024 · Improve your Python game with hands-on practice! Solve 15 beginner-friendly exercises and solidify your Python skills.

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