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Downloading & Installing Python 


For Machine Learning,Data Science,Deep Learning etc I will highly recommend you to download Python 3.6.


Key points before downloading & installing python :


* Lets see what do we mean by IDLE python


IDLE is Python’s Integrated Development and Learning Environment.
IDLE has the following features:
  1. coded in 100% pure Python, using the tkinter GUI toolkit
  2. cross-platform: works mostly the same on Windows, Unix, and macOS
  3. Python shell window (interactive interpreter) with colorizing of code input, output, and error messages
  4. multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features
  5. search within any window, replace within editor windows, and search through multiple files (grep)
  6. debugger with persistent breakpoints, stepping, and viewing of global and local namespaces
  7. configuration, browsers, and other dialogs

* Python program must be save in the extension .py

     eg: data.py

* Steps to Download Python are as follows :


Downloading python is really very easy...

Step 1 :

Just go to the pythons official site i.e www.python.org 

Step 2 :

Now you will see a page like this...

python.org



Step 4 :


Now Select you respective OS and click download link.
For windows just click button below Download for Windows

download button

Now python will get started to download


downloading image

You can also download older versions if you want.



Install Python :

Double click on your setup file and you will see some thing like this...

After installing

Just select the Add Python 3.8 to PATH. If you want you can customized it but i'll not recommend to do any changes now just hit Install Now.

Congratulations your python is now installed.


If you got any kind of doubt while installing python do check out this video which will help you to guide step by step to download the python.




So did this post or the video helped you? Leave a comment below & do check out our other posts to be a Data Scientist.



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