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TABLE OF CONTENS

Introduction to Python
Reasons to choose Python
Installing and Running Python Development Environments
Compiling v/s Interpreting
Basics of Python Programming

Expressions o
o Math Commands
Variables o
o Basic Data types
White spaces o
o Comments
Assignment o

Naming Rules and Conventions Starting with Code
Most Used Python Operators
Most Used Python Tuples
Most used Python Sets
Python Dictionaries
Conditional Statements
Python Loops
Python Functions
Python Arrays
Classes and Objects in Python Glossary
Conclusion

What exactly is Python? Executive summary

Python is a high-level, object-oriented, dynamic-seed programming language. Combined with dynamic typing and dynamic referencing, its high-level data structures render it very appealing for Rapid Application Development as well as for use as a scripting or adhesive language for connecting established components. Python 's simple, easy-to - learn code information can make and reduces the expense of maintaining the program. Python promotes modules and bundles that facilitate software modularity and reuse of code.
Python is a high-level, open-source programming language that acts as a general purpose language; it is most commonly compared to Ruby, JavaScript, and Scheme. What separates Python from other programming languages is that it is simple to use, can be taught to a novice, can be incorporated in any application, and can run on all modern operating systems, including Mac, Windows , and Linux; It is also one of the most powerful languages that a programmer can use, and is about three to five times faster than JavaScript and C++, respectively.

Relevant explanations why you need to use Python? .

You may use Python to build GUI mobile apps , websites and web applications. Additionally, Python, as a high-level programming language, helps you to concentrate on the main features of the code by taking care of specific programming tasks. The simple syntax rules of the programming language make it easier for you to keep the code base readable and the application maintained. There are also many explanations why you would favor Python over other programming languages.

1) Script Readable and Maintainable.
While writing a software application, you need to focus on the quality of your source code to make maintenance and updates easier. The Python syntax rules allow you to express concepts without writing additional code. Around the same time, Python, unlike other programming languages, stresses code readability and encourages you to use English keywords instead of pronunciations. You may also use Python to create custom apps without writing specific code. A functional and tidy code base can help you manage and upgrade the program without any additional time and effort.

2) Multiple programming paradigms.

Like other modern programming languages, Python also supports a number of programming paradigms. This completely promotes object driven and organized programming. The language features also support different principles of practical and aspect-oriented programming. Around the same moment, Python often provides a complex form framework and automated memory management. The programming paradigms and language features allow you to use Python to build broad and complex software applications.

3) Compatible with global technologies and system
Python actually supports a variety of operating systems. You can even use Python interpreters to run your code on specific platforms and tools. Python is also an interactive programming language. This helps you to run the same app on different devices without recompiling this. So, after making any modifications, you are not forced to recompile the file. You can run the modified application code without recompiling it and check the impact of changes made to the code immediately. The functionality allows it easy for you to make improvements to the code without through the period of creation.

4)Simplify the development of complex software
Python is a general programming language of function. You will also use the programming language to build both desktop and mobile apps. You may also use Python to create advanced science and numerical applications. Python is developed with software intended to enable data processing and visualization. You may take advantage of Python's data processing capabilities to build personalized big data applications without any additional time and energy. Around the same time, Python's data analysis frameworks and APIs enable you interpret and view data in a more compelling and efficient way.

5) A range of open source platforms and resources
As an open source programming language, Python lets you substantially raising the expense of software creation. You may also use many open source Python modules, plugins and programming resources to reduce production time without growing development costs. You even have the option to choose from a wide range of open source Python frameworks and development tools based on your specific needs. For starters, you can simplify and speed up the creation of web applications utilizing robust Python web frameworks such as Django, Flask, Pyramid, Bottle and Cherrypy.

Installing and Running Python

You'll need to have access to the Python interpreter to get started working with Python 3. There are several common ways to do this:
Python can be downloaded on the Python Software Foundation website at python.org. Usually, this includes installing the correct software for your operating system and running it on your computer.
Some operating systems , particularly Linux, provide a package manager that can be run to install Python.
The best way to install Python 3 on MacOS is to install a package manager called Home brew. You will install applications that have a Python programming framework on smart phone operating systems including Android and iOS. It may be a perfect place to exercise your coding skills on the road.
Windows
It is extremely doubtful that the Windows machine has already been updated with Python. Normally, Windows computers don't. Fortunately, installation does not require anything other than uploading and running the Python update from the python.org website. Take a peek at how to run Python 3 on Windows:

Step 1 : Download the Installer for Python 3.

Open a browser window and navigate to the Windows Download page on python.org.
Below the caption at the top that says Python Releases for Windows , click the link for the latest Python 3 release-Python 3.x.x. (The newest in text is Python 3.6.5.)

Python 32-bit or 64-bit?
You may select either a 32-bit or a 64-bit installer for Windows. Here's what goes down to the disparity between the two:
If your processor has a 32-bit processor, you can use a 32-bit installer. On a 64-bit processor, any installer would probably function for most of the purposes. The 32-bit edition can typically consume less power, although the 64-bit edition is best optimized for heavy computing applications.
If you don't know which edition to pick, go for the 64-bit option.

Step 2: Execute the installer
After you have installed and downloaded the installer, simply run it by doubleclicking the downloaded link. There should be a dialog that looks like this:

Then just click the Install Now button. That's going to be what there is to it. You will have a functioning Python 3 installation on your machine a few minutes later. OR

Installing Python

To run Python from the Windows Store:
Go to the Start menu (lower left windows icon), type "Microsoft Store," click the button to access the shop.

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