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Branching Basics and Multi-Branch Statements in PythonBranching is a fundamental concept in programming that allows your code to make decisions and execute different blocks of code based on certain conditions. In Python, we achieve branching using various statements, with the most common being: if statement else statement elif statement (else if) 1. if Statement The if statement is the core of branching. It checks a condition and executes...0 Comments 0 Shares 3K Views 0 Reviews
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Operators and Precedence RulesIn Python, operators are special symbols that perform operations on operands (values or variables). Operator precedence determines the order in which these operations are evaluated within an expression. Understanding precedence is essential for writing correct and predictable code. Precedence Levels: Python follows the PEMDAS (or BODMAS) order of operations, just like basic math. Here's a...
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Comparing Data Types and Conditional ExpressionsComparing Data Types: In Python, you can compare data types using the type() function. This function returns the data type of a variable or expression. Here's how it's used: Python x = 5 y = "hello" z = [1, 2, 3] print(type(x)) # Output: <class 'int'> (integer) print(type(y)) # Output: <class 'str'> (string) print(type(z)) # Output: <class 'list'> (list)...0 Comments 0 Shares 3K Views 0 Reviews
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While Loop and For LoopIn Python, while and for loops are fundamental constructs for repeated execution of code blocks. They serve different purposes, so understanding their strengths is crucial for writing efficient and readable code. While Loop: Syntax: Python while condition: # Code to execute as long as the condition is True Functionality: The while loop repeatedly...0 Comments 0 Shares 3K Views 0 Reviews
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Range and Nested LoopsRange Function (range()) The range() function is a built-in function in Python used to generate a sequence of numbers. It takes up to three arguments: start (optional): The starting number of the sequence (inclusive). Defaults to 0. stop (required): The number one greater than the last element in the sequence (exclusive). step (optional): The increment between each number in the sequence....0 Comments 0 Shares 3K Views 0 Reviews
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Break and Continue, Loop Else, and EnumerateBreak, Continue, Loop else, and Enumerate in Python These are all control flow statements used within loops in Python, each serving a specific purpose: 1. Break: This statement exits the loop prematurely, regardless of whether the loop condition is still True. It's typically used when you find what you're looking for within the loop or when a certain condition arises that makes further...0 Comments 0 Shares 3K Views 0 Reviews
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Functions, Parameters, and Return ValuesIn Python, functions are reusable blocks of code that perform specific tasks. They promote code modularity, readability, and maintainability. Here's a breakdown of their key aspects: Functions: Defined using the def keyword followed by the function name and parentheses. Can optionally take arguments (parameters) within the parentheses, which are used as inputs for the function. May or may...0 Comments 0 Shares 3K Views 0 Reviews
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Dynamic Typing, Stubs, and NamespacesDynamic Typing: In Python, variables don't have a pre-defined data type associated with them. The data type of a variable is determined by the value assigned to it at runtime. This makes Python code concise and flexible, but can sometimes lead to errors if you're not careful about what type of data a variable might hold. Example: Python x = 5 # x is an integer x =...0 Comments 0 Shares 3K Views 0 Reviews
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Keywords, Multiple Output, and Documentation1. Keywords: Keywords are reserved words in Python that have special meanings and cannot be used as variable names or function names. They define the syntax and structure of the language. Here are some common examples: def: Used to define functions. if: Used for conditional statements. for: Used for loop iterations. else: Used for alternative execution blocks. return: Used to...0 Comments 0 Shares 3K Views 0 Reviews