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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 aredecision 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:

if statements

else statements

elif statements

for loops

while loops

break statement

control statement

pass statement

000_Python_Flow_Control_statement

001_Python_if_statement

002_Python_if_else_statement

003_Python_if_elif_else_statement

004_Python_Nested_if_statement

005_Python_for_Loop

006_Python_while_Loop

007_Python_break_continue_pass_statements

These are online read-only versions.

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Gohere if you aren't here already and click the "⭐ Star" button in the top right corner. You will be asked to create a GitHub account if you don't already have one.

1. Gohere if you aren't here already.

2. Click the big green "Clone or download" button in the top right of the page, then click "Download ZIP".

   

3. 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.

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

   Cell > All Output > Clear

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.

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 welcome🙏

Seegithub's contributors page for details.

If you have trouble with this tutorial please tell me about it byCreate 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.

If you like this tutorial, pleasegive it a ⭐ star.

You may use this tutorial freely at your own risk. SeeLICENSE.