PyCodePro

Previously LP16 - A website that teaches Python programming language through interactive tutorials, practice exercises, and real-world projects.

COMPUTATIONAL THINKING


COMPUTATIONAL THINKING




Collective Thought Processes involved in formulating Problems and Solutions. So That they are represented in a form that can be effectively carried out by computer.

Decomposition


The Breaking Down of a Complex Problem, data or process into smaller, more manageable parts.


PATTERN RECOGNITION


It Refers to Looking for Similarities, patterns and trends in the data.

ABSTRACTION


It Is the Filtering Out Unnecessary details/information to focus only on the important information.

GENERALISATION


It Is Identifying the Common or Shared Characteristics.


ALGORITHMS

It is the Developing step by step instructions to solve the problems.


PYTHON PLUS POINTS


1 – High Level Language
2 – easy in swapping values
3 – uses interpreter
4 – Do Not Need To install additional libraries
5 – Run on Many Operating Systems. Such as –          Windows, Linux, macOs
6 – Free to Download
7 – Variety of Usage


PYTHON MINUS POINTS

1 – Not the Fastest Language
2 – Lesser Libraries
3 – Not Strong On Type Binding
4 – Not Easily Convertible


WORKING IN PYTHON

Before Working on python you need install the python from the official website of python and other python distributors are available on internet.


Default Installation – python.org

Other Distributors – Anaconda, Spider


Working in Default Installation comes with Python Interpreter, Python IDLE and Package Installer.

 I am Telling You to Work in Default Python Installation.

Now to work in python you need to open the python IDLE.


Python Has two modes –

1 – Interactive Mode
2 – Script Mode


To Work In interactive Mode As Well As Script Mode You Need Open The Python IDLE.




Now to Know How To work In Python IDLE Keep Visiting Our Blog And Wait For The Next Blog
The Next Blog Is On the Topic –
HOW TO WORK IN PYTHON IDLE

COMPUTATIONAL THINKING COMPUTATIONAL THINKING Reviewed by Learn Python on October 29, 2019 Rating: 5

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