7 reasons to why learn python?

Introduction:

There are plenty of programming languages around us varying from the well-established ones with roots very deep in many applications to the latest coding languages with multiple developing options for several structures and the mediocre similar to Python. Then why Python as a choice in the first place?

Let me introduce you to the top most factors defining the qualities of a perfect programming language. Hope you will definitely agree with me after having a glance through these. Happy reading!

Ease of coding and implementation

Most of the developers prefer the code to be built easy and written with less syntax along with being utmost functional at the same time. Python serves all of these purposes. The coding style is more of general purpose language and is more readable, most interactive and is not restricted to any specific platform. 

Python can be used as both an interpreted language and as a compiled language. With Python you can run the scripts directly as well. It is more of fun to code in Python than others.

White space is more meaningful in Python and are employed to quote placement and indentation of new lines of code. You should always start a new line only when you want to end your present line of code. No braces are needed to particularly specify start and end of code. Often a colon appears when starting a new block.

Being the friendliest, interpreted, interactive and object oriented Python is termed as the beginner’s language by large amount of developers using it. Python coding is very similar to coding languages like Java, C++ and supports many others.

Popularity

According to the latest analysis from PYPL (Popularity of Programming Language) Python is rated the second most popular and preferred language in comparison with other coding languages. PYPL analysis can be considered as a good resource to make a choice in selecting the best coding language to study, use and implement. Python showed an improvement from 12.6% to 22.05% competing Java which is at top with its 22.62%.

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An open source 

Being an open source Python can be downloaded and implemented and distributed for free across the globe. This helps the beginners and new developers in gaining access to the complete version of software and it also helps its users with supporting community which has a well-documented list of answers to the queries of coders.

It also features a GPL (General Public License) which enables the coder to use the customization without being added to the open source and thus will remain exclusive to the company.

Python library

Python has an extensive set of standard libraries containing built-in modules which provides with standardized applications. Another added feature to this is that, these libraries can be cloned and edited according to the purpose. These customized libraries are then added to Python open source for the benefit of others using it. Thus list of libraries are continuously updated with many enhancements in their functionality which is very beneficial to its future implementations. 

Extendable

With Python you can add low level modules to the interpreter enabling the programmer to add or customize their tools in order to increase efficiency.

Used for scripting

Python can be used for scripting similar to Perl and can also be compiled to byte code for developing applications on a large scale. It is mostly used for developing Html content on websites. This language has the mixed code environments combining various programming languages. This has inbuilt security API which uses programming approach like the context dependency injection in order to simplify API on all platforms.

Python’s application areas

Python has its list of diversified applications. Most of them include:

1. Data management systems and data analysis systems

Python has good list of packages (tools) to manage and analyse data in several forms. Python is capable of handle embulking data with limited resources. Some of these packages include Numpy, Scipy, Pandas, Matplotlib and Ipython. They are much interactive and support data visualization methods. These high performance tools are often used for parallel computing.

2. Web and internet development

Used extensively for designing relative data markups of structured data and includes modules to work with XML, HTML and SGML languages. Different applications online. Python Django and Pyramid are extensively used for web and internet development.

3. Python cloud computing

Many websites enable Python code to upload and run from the website. Google App Engine is one among such. Data persistence is handled by this app engine. Picloud, Star Cluster and Python anywhere are some among such apps. Some web browsers allow Python to run without any local installation. This process is achieved with few web services which allow submitting Python code to the back end system.

4. Testing and Cyber security

Many major software systems are tested extensively for their durability before releasing them into the market. There are several frameworks of Python like unittest, pytest, doctest and nose to support the testing process. These are easy to use and support test organization with the help of test suites. 

Used in performing crypto and malware analysis. You can quickly locate viruses. Security can be implemented in order to protect networks, computers and bulk data from unidentified sources.

5. Software development 

I am not talking about the terms good or bad coding but when you are putting your efforts to build the best, performance matters. Python is often used as a support language for software developers for controlling and managing the build quite smoothly when compared to others.

6. Business Applications

Used to build ERP and e-commerce systems. Odoo and Tryton are the management applications that are employed for this purpose. Both of these provide a complete business solution and are quite stable and secure. It is so simple yet solves

Other areas of its applications include imaging, audio and video, 3D CAD/CAM, internet, mobile, science, education, Graphical User Interface and machine learning and office applications.

What is python programming?

Python programming language is Interpreted and abnormal state programming language. This was planned by Guido Van Rossum in the year 1989. The main variant of python was discharged in the year 1991. In any case result is, with this python language we can Design, any sort of Desktop, and programming web applications and For the most part Frameworks will clarify what is python Programming.

Prior in the event that you know Java and C++ it is OK. in any case, Python language will end the divider, that you have intended for a basic programming language. Meanwhile prepare to Feel python!, Especially Python is the most utilized Programming language.

For what Python is utilized for?

PC Programming

Counting Physics and arithmetic

Creating programming

Server web Development



What is crafted by Python? 

In synopsis Python code is Coupled with Prototyping and quick Production for Software Development.

Utilized for overseeing Big Data and work with basic science.

In like manner it can interface with database, read and alter the documents.

Making work processes is simple with it. so then it Acts as a server for web applications.

Best things to know

Specifically the most recent rendition is Python 3

Intelligibility of python content is progressively, Such as English, maths, and details. It utilizes most recent lines to complete a direction, Furthermore some different dialects use semicolons.

Python programming dependent on space, For the most part it utilizes void area to characterize a degree. Extensions known as capacities and classes. Where other programming dialects utilize wavy sections.

A debt of gratitude is in order for remaining with me till now.

Why learn python is Important?

How to introduce python?

Nuts and bolts of Python?

Information Types

Stream control

Capacities

Record Handling

Article and class

Why learning Python is Important? 

Python is a High-level programming language. it is extremely simple to learn, you can type python all around effectively. It would seem that a characteristic language, perusing and understanding python is Easy. No semicolons and props. The best element is, it works on any stage, Solaris, Macintosh, Linux, and windows.

For instance magnificence of Python ventures makes it increasingly commonplace. The beneath are the visual cues about it.

Keeps running on Many Platforms.

Imposing business model for scripting and quick applications.

It is an Interpreted language.

Quick and smooth Typing.

Super string Manipulation.

Minute guidelines in exemptions

Delightful program format

For instance Even a child can Read this language.

Stop! I will demonstrate progressively about Python.

It is an extremely well known language in some division like Big Data, Automation, and Artificial Intelligence. For this situation it is utilized by, some worldwide organizations know as Google, Mozilla, YouTube, Facebook, IBM, Yahoo, NASA, Dropbox.

You can see our Amazing video Introduction, to Python programming language, here our Python preparing Professional. Clarified about Python in with best constant, precedents. This Python video instructional exercise will assist you with understanding much about Python programming language.

How to Install Python? 

Release us with Python Installation in windows.

click the connection: https://www.python.org/downloads/and introduce the refreshed form on your PC.

2) After that, the second alternative is to download and introduce Pycharm IDE.

What is Pycharm? 

Pycharm is an IDE that is actualized in the scripting of the PC, and it is mostly executed for Python Programming dialects. It offers legitimate code examination, a little graphical debugger. Furthermore, an incorporate testing unit. It does coordination with VCSes control frameworks. Furthermore, it underpins web advancement alternatives with Django.

Rudiments of Python

Coming up next are the five essential things that expected to Program python.

1)Object @ class

2)File Handling

3) Functions

4) Flow control

5) Datatypes

Items/classes

We definitely think about, python object idea programming language.

On the off chance that we watch Python Occasionally , everything in python resembles an article.

A class is known as outline structuring ventures.

Begin a Class.

To begin a class, make utilization of the Keyword class:

The fundamental string is known as Docstring

Class myclass:

X=9

Print(myclass)

C:\users\My Name>python demo_class1.py

<class '_main_. Myclass'>

Begin object

Presently we can actualize class name my class to begin objects:

Class My class:

X=9

P1 = Myclass()

Print(p1.X)

C:\users\My Name>python demo_class2.py

5 File Handling

For perusing or composing a record, we need document taking care of.

By playing out these means, we can complete it.

Open document

Peruse/compose document

Close document

Document opening

Python Designed an inbuilt capacity for an opening document that is open()

This capacity gives back us a document object. That is called as a handle. It principally utilized for change and comprehensibility of document in an arrangement.

Record = open("C:/clients/onlineITguru/hello.txt","r")

For line in the record:

Print (line)

The outcome is as beneath

One

Two

Three

Keeping in touch with A File

straightaway on the off chance that you need To start composing a document, you should open it in compose 'w', or 'a'

We should think about 'w' mode as it will change into, In brief a record which presence from the past. Every single past information has been ended.

Scripting a string by utilizing compose()

Test content

Open("c:/users?onlineitguru/writing_into_file.txt", "w") as f

f.write("first line\n")

f.write("second line\n")

document = open("D:/writing_Into_file.txt","r")

for line in the document:

print (line)

The outcome would be

First line

Second line

To peruse the substance from a document

For example for perusing the substance in a document, we should consider the opening record in the perusing mode.

Therefore we can actualize the read(size) procedure to peruse in how much number is the information.

Test content

File=open("c:/client/edureka/writing_Into_file.txt", "r")

Printf(file.read(5))

Printf(file.read(4))

Printf(file.read())

The outcome will be as beneath

First line

Second line

For shutting a record

Generally When we have not finished with activities in the document, By the manner in which we require to close it appropriately.

For example when you close a record, it will free up every single need, further that were screwed over thanks to the document. For this situation done by Including the nearby() strategy .

Test content

Document = open("c:/clients/edureka/hello.txt", "r")

Content = file.readlines()

Print(text)

File.close()

The yield is this way

['one\n', 'two\n', 'three']

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Information types 

Especially All the information types in python type appear by articles, However Besides every single item has an information type.

1)Dictionaries

2)sets

3)tuples

4)lists

5)Bytes and byte Arrays

6)strings

7)Numbers

8)Boolean

Stream control:- 

Consistently you need to control the stream of your program, Together with this six fundamental stream controls.

1)pass

2)continue

3)break

4)while

5)for

6)if

Capacities 

Up to the present time Functions in python writing computer programs, are a group of related proclamations. And furthermore this will work a specific errand. Later capacities structure a program in a sorted out route by reusing the code.

Python tutorial

Introduction:

Created in 1989 by Guido Rossum, Python is an object-oriented programming language. Python had been designed to offer rapid prototyping for complex applications. This language has interfaces to a lot of system calls of the operating system. Not only that, it is also extensible to C and C++. Lots of large multinational corporations like Google, NASA, Bit Torrent and others use Python for development. 

Python is also gaining huge popularity in fields like Artificial Intelligence, Neural Networks, Machine Learning, Natural Language Processing, Cloud Computing and the other advanced fields of Computer Science. One of the main focus of the language had been on the reliability of code.

Python training has always been easy to learn and offers a powerful programming language at the hands of the programmers. This language offers high-level data structures and constructs and is yet a very simple and effective approach to object-oriented programming. The syntax is elegant and coupled with dynamic typing and the interpreted nature. So, the language is ideal for rapid application development and scripting. Not only that, Python can be used on most platforms.

The interpreter along with the extensive standard library for Python is freely available in source code or binary form for all the major platforms. It can be availed from the online website and can be distributed freely. Extending the Python interpreter is easy with the new functions and the data types that are implemented in C or C++. Python is also suitable as an extension language. It can be customized for specialized applications.

The language is dynamic and interpreted and there are no type declarations for the functions, parameters, variable or methods in the source code. Thus the code is quite short as well as flexible. There would be no compile-time checking of the source code. Python would be tracking the types of all the values at run time and would flag a piece of code that does not carry sense. Using the interpreter for the language is one of the best ways to work with it. The beginners would have lots of questions about the basic concepts and would need to figure things out by themselves. Whenever there is a doubt that the programmer wants to clear, the interpreter would do the job best.

Experimenting with the operators and variables is quite easy. If there is a run time error, the interpreter would raise appropriate flags to let the programmer know about the bug. Python is a case-sensitive language. The statements would also not require a semicolon to end. It is easy to use comments in the language as well.

The source files would have a '.py' extension and they are known as modules. The easiest way to run the Python module is the shell command 'python' followed by the module name would call the Python interpreter to execute the code.

Thus, Python is a very versatile language and it can be used for a wide range of applications. The language can help you to develop a lot of different applications in diverse fields.

History of python

Though the implementation of the language began in December 1989, the conception of the Python programming language had already begun in the late 1980s. Guido van Rossum started the implementation AT CWI. The Python was designed to be capable of exception handling and forming an interface with the Amoeba operating system. The principal author of the language is Guido van Rossum. He is still one of the central characters in deciding how the language would proceed in the future. The language had received its name from Monty Python's Flying Circus. 

How to install Python?

You need to have access to the Python interpreter to start working with the language. There are a few ways for this to be done. It can just be availed at the website python.org from the Python Software Foundation. It would involve downloading the proper installer for the operating system and running it on the computer. Package managers can be run in some operating systems to install the language. In Android systems, a mobile app that provides the Python programming environment can be used.

Installation of Python on Windows

To create Python programs on Windows systems, you would need to have the Python interpreter.

·         This can be done by downloading the Python installer from the website.

·         You would need to navigate to the Download page for Windows at python.org.

·         Under the column Python Releases for Windows, you should click on the Latest Python 3 Release. You should be scrolling to the bottom. The Windows x86-64 executable installer is for the 64-bit systems and the Windows x86 executable installer is designed for the 32-bit systems.

·         After that, you would need to run the installer by double clicks on the downloaded file.

·         The 'Install Now' button needs to be clicked on the dialogue box. Once the installation finishes in a few minutes, you would be having a Python 3 installation on the system.

Installation of Python on Windows Subsystems for Linux

If you already have the Windows 10 Anniversary or Creators Update, you would be able to install Python in another way. There is a feature called Windows Subsystem for Linux which would allow running a Linux environment on the Windows platform. No virtual machines would be required for this.

Installation of Python on Linux

With Linux, there are high chances that the Python would already be installed. But, you might have problems with the fact that you would not have the latest version. You can, however, find out the version. You might want to have the latest installation of the interpreter.

How to Code in Python

Digital Ocean’s How to Code in Python 3 tutorial series is available for free as an open educational eBook in both EPUB and PDF formats. Having these tutorials together in an eBook format provides you with a resource that you can use on your favourite e-reader without maintaining a constant internet connection. This way, you can use the book to learn key concepts while offline, or as a reference guide while you are coding on your computer.

Because it is available in an eBook format, How to Code in Python can be used as an Open Educational Resource and therefore as an alternative to a textbook in the classroom. Additionally, the eBook can be made available for the wider public through libraries.

This eBook can be used in a variety of ways, so this guide will break down how the general reader may want to approach the book, how teachers and students can use the book as part of their classes, and how public and university librarians can increase availability of this eBook as an educational resource. Finally, for any reader who works through the book and wants guidance on what to do next, additional resources are discussed at the bottom of this page.

How to Use This Book as a General Reader

This book is designed to be used in a way that makes sense for you. While it is arranged to ramp up an emerging developer, do not be constrained by the order: feel free to move throughout the book to suit your needs. Once you are familiar with the concepts, you can continue to use the book as a source of reference.

If you use the book in the order it is laid out, you’ll begin your exploration in Python by understanding the key differences between Python 3 and the previous versions of the language. From there, you’ll set up a programming environment for your relevant local or server-based system, and begin by learning general Python code structure, syntax, and data types. Along the way, you'll gain a solid grounding in computational logic within Python, a set of skills relevant even when moving to other programming languages in the future. While the beginning of the book focuses on scripting in Python, object-oriented coding concepts are gradually introduced to help make your code more modular, flexible, and complex without repetition. By the end of the book, you’ll learn how to debug your Python code and finally how to port Python code across versions.

Use How to Code in Python in Your Classroom

If you’re a student, you can let your teacher, professor, or Computer Science department know about the availability of this free eBook on Python programming. Your school or university may have an open educational resource repository where they can make the eBook available to students or teachers. You can also share this eBook with clubs or groups you belong to that may be interested in learning more about Python programming. In addition to Computer Science clubs and programs, those involved in Data Science, Statistics, and the Digital Humanities may find this free resource useful.

If you’re a teacher offering classes or workshops on Python training, you can use this open educational eBook for free with your students. You can follow the order of the chapters in the eBook for your own curriculum, or you can pick and choose based on what you are planning to accomplish within your class. You can also supplement the eBook with the growing number of Digital Ocean project-based tutorials that are available for free online and can support students as they put their programming knowledge into practice by working through solutions to real-world scenarios.

Add How to Code in Python to Your Library’s Catalogue

If you’re a librarian, you can consider adding How to Code in Python to your library’s catalogue. Having the eBook available in a greater number of libraries will increase public access to a free resource that will support people as they learn to code. While not everyone is interested in a career in computer programming, everyone who learns some coding principles will be able to contribute to a larger discourse around software development and technology.

This free eBook is licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 International License and is available to be used as an Open Educational Resource.

The following information will be useful to librarians seeking to add the eBook to their library’s collection:

• Entry on World Cat: How To Code in Python 3
• OCLC number: 1020289950
• Book summary: This educational book introduces emerging developers to computer programming through the Python software development language, and serves as a reference book for experienced developers looking to learn a new language or re-familiarize themselves with computational logic and syntax.

If the Digital Ocean Community team can provide additional guidance, feel free to reach out in the comments section below.

Next Steps and Where to Go From Here

When you are done with the book, you can take a look at project-based tutorials to put your knowledge into play while creating projects that can help you solve problems. While you are working on these projects, you can continue to refer to the chapters in this book as reference material.

Anyone who learns how to code can contribute to an open-source project. Open-source software is software that is freely available to use, redistribute, and modify.

Contributing to open-source projects helps improve software by ensuring that it is representative of the broad base of technology end-users. When users contribute to open-source projects through code, technical documentation, or repository maintenance, their diverse perspectives provide added value to the project and the larger developer community.