/03_Python_Flow_Control

Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements

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03_Python_Flow_Control

Introduction πŸ‘‹

The control flow statements are an essential part of the Python programming language.

A control flow statement is a block of programming that analyses variables and chooses a direction in which to go based on given parameters. In simple sentence, a control structure is just a decision that the computer makes. So, it is the basic decision-making process in programming and flow of control determines how a computer program will respond when given certain conditions and parameters. It determines the order in which the program’s code executes.

They are decision making statements that allow the program to take the decision as which statement should be executed next.

Decision Making statements are used when we want a set of instructions should be executed in one situation and different instructions should be executed in another situation .Decision making can be implemented in python using:

β†’ if statements

β†’ else statements

β†’ elif statements

β†’ for loops

β†’ while loops

β†’ break statement

β†’ control statement

β†’ pass statement

Table of contents πŸ“‹

No. Name
00 Python_Flow_Control_statement
01 Python_if_statement
02 Python_if_else_statement
03 Python_if_elif_else_statement
04 Python_Nested_if_statement
05 Python_for_Loop
06 Python_while_Loop
07 Python_break_continue_pass_statements

These are online read-only versions. However you can Run β–Ά the code online by clicking here ➞ binder

Frequently asked questions ❔

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  2. Extract the ZIP and open it. Unfortunately I don't have any more specific instructions because how exactly this is done depends on which operating system you run.

  3. Launch ipython notebook from the folder which contains the notebooks. Open each one of them

    Kernel > Restart & Clear Output

This will clear all the outputs and now you can understand each statement and learn interactively.

If you have git and you know how to use it, you can also clone the repository instead of downloading a zip and extracting it. An advantage with doing it this way is that you don't need to download the whole tutorial again to get the latest version of it, all you need to do is to pull with git and run ipython notebook again.

Authors ✍️

I'm Dr. Milaan Parmar and I have written this tutorial. If you think you can add/correct/edit and enhance this tutorial you are most welcomeπŸ™

See github's contributors page for details.

If you have trouble with this tutorial please tell me about it by Create an issue on GitHub. and I'll make this tutorial better. This is probably the best choice if you had trouble following the tutorial, and something in it should be explained better. You will be asked to create a GitHub account if you don't already have one.

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Licence πŸ“œ

You may use this tutorial freely at your own risk. See LICENSE.