They are objects that can be iterated upon. In this tutorial, you will learn how iterator functions and how you can build your own iterator using iter and next methods.
It make iterations easily using Python generators, how it is not quite the same as iterators and normal functions, and why you should use it.
How to define a closure, and the reasons you should use it.
A decorator takes in a function, includes some functionality, and brings it back. In this tutorial, you will learn how you can make a decorator and why you should use it.
Python programming provides us an inherent @property decorator which makes utilization of getter and setters a lot simpler in Object-Oriented Programming.
In this tutorial, you will find out about regular expressions (RegEx), and use Pythonβs re module to work with RegEx (with the help of examples).
| No. | Name |
|---|---|
| 01 | Python_Iterators |
| 02 | Python_Generators |
| 03 | Python_Closure |
| 04 | Python_Decorators |
| 4.1 Python_args_and_kwargs | |
| 05 | Python_Property |
| 06 | Python_RegEx |
These are online read-only versions. However you can Run βΆ all the codes online by clicking here β
You can and
Starring and Forking is free for you, but it tells me and other people that it was helpful and you like this tutorial.
Go here if you aren't here already and click β β° Star and β΅ Fork button in the top right corner. You'll be asked to create a GitHub account if you don't already have one.
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Go
hereand click the big green βCodebutton in the top right of the page, then click βDownload ZIP.
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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.
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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.
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 welcomeπ
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.
If you like this tutorial, please give it a β star.
You may use this tutorial freely at your own risk. See LICENSE.