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Python Flow Control

How to control flows in Python?

Python Language

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Fundamentals

  1. 1 Introduction
  2. 2 Setup Installation
  3. 3 Program Structure
  4. 4 Data Types & Variables
  5. 5 Reserved Keywords
  6. 6 Operators

Control Flow

  1. 7 Flow Control
  2. 8 if-else Statement
  3. 9 if-elif-else Statement
  4. 10 for-in Loop
  5. 11 while Loop
  6. 12 Jump Statements

String

  1. 13 Python String
  2. 14 String Manipulation

Functions

  1. 15 Function Calling
  2. 16 Function Arguments
  3. 17 Function Return
  4. 18 Lambda Function
  5. 19 Scope Variables

Data Structures

  1. 20 Lists: Methods & Slicing
  2. 21 Dictionaries: Operations
  3. 22 Tuples: Immutability
  4. 23 Sets: Operations

Modules

  1. 24 Importing Modules
  2. 25 Concept of pip
  3. 26 Commonly Used Libraries

Arrays

  1. 27 Array Module
  2. 28 Array Dimensions

Files

  1. 29 File I/O
  2. 30 Files Modifying
  3. 31 File Errors Handling

OOP

  1. 32 OOP Concepts

Machine Learning

  1. 33 Data Science
  2. 34 Deep Learning
  3. 35 Machine Learning
  4. 36 Build AI Models

Exception Handling

  1. 37 try-except-finally Blocks
  2. 38 Custom Exceptions

Asynchronous

  1. 39 async & await

QnA

  1. 40 Interview QnA

Flow Control

Flow control refers to the order in which instructions are executed in a program. It allows you to direct the flow of execution based on conditions, loops, and other control structures. In essence, flow control determines the path that the program takes through its code, guiding it from one instruction to the next.

Flow control mechanisms enable you to make decisions, repeat actions, and respond to different scenarios dynamically during program execution. This ensures that your program behaves as intended and can handle various input conditions.

Common flow control constructs:

1. Conditional Statements: Conditional statements, such as 'if', 'if-else', and 'elif' in Python, allow you to execute different blocks of code based on certain conditions.

2. Loops: Loops, like 'for' and 'while' loops, enable you to repeat a block of code multiple times. They allow you to iterate over collections, perform calculations, and carry out other tasks iteratively.

3. Branching and Jumping: Branching statements like 'break', 'continue', and 'pass' allow you to alter the normal flow of control within loops or conditional blocks. For example, 'break' exits a loop prematurely, 'continue' skips the rest of the loop and proceeds to the next iteration, and 'pass' is used as a placeholder for code that does nothing.

4. Function Calls: Calling functions allows you to encapsulate blocks of code into reusable units. When a function is called, the flow of control temporarily transfers to the function, executes its code, and then returns to the point where the function was called.

5. Exception Handling: Exception handling mechanisms, such as 'try', 'except', 'finally', and 'raise', allow you to handle unexpected errors and exceptions that may occur during program execution. They enable you to gracefully handle errors and continue execution or perform cleanup actions as needed.

By combining these flow control mechanisms, programmers can create complex algorithms, implement decision-making logic, iterate over data structures, and handle various scenarios effectively

Note: Understanding flow control is crucial for writing clear, concise, and maintainable code in any programming language.

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