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Learning Python is A Smart Way to Start Your Programming Career

Learning Python is A Smart Way to Start Your Programming Career

All the developers understand that they should pay more attention to the quality of the source code when making a software application. Because you might need to maintain and update new things in that application, you should make a path for you in a long time. All syntax rules of Python enable you to convey concepts without writing extra codes.

It's an easy language to start as well as a hard one to learn. This is because it permits you using English keywords to write codes and build a system. Therefore, you ought to make a custom application and clean codes without spending time and effort on maintenance.

6 reasons to learn and use Python in advance

6 reasons to learn and use Python in advance

  • Diverse programming paradigms

Python is a modern programing language, which supports a lot of programming paradigm. It also helps you recognize oriented objects and the structure of a program. Moreover, It shows a good type of system and outstanding memory management. The programming paradigms and language features help you in growing big and complicated software applications.

  • Well-suited many platforms and systems

Python is a modern programing language, which supports a lot of programming paradigm. It also helps you recognize oriented objects and the structure of a program. Moreover, it shows a good type of system and outstanding memory management. The programming paradigms and language features help you in growing big and complicated software applications.

  • Strong library standard

The library standard is large and powerful, so it makes Python score higher than other languages in recent years. The standard permits you to select a variety of modules from your precise demands. Each module helps you add functions to the Python application without spending time on extra codes.

For example, you possibly utilize specific modules to apply web services when writing a web application in it. Also, you can manage the operating system interface and perform other operations. Even the gather information from various modules is available on Python. The Python Standard Library documentation has a wide range to choose from.

  • Plenty of open-source frameworks and tools

It is an open-source programming language; it assists you to minimize your cost in the software development. This is the reason new developers should learn Python at first. It also has a bundle of frameworks, tools, and frameworks to curtail your time. Starting your software development with Python is a smart way to encounter.

You even feel free to select frameworks and development tools from your requirements. You ought to speed a web application up by using the Python web frameworks such as Flask, Pyramid, Bottle, and Django. You could boost desktop GUI application development by using Python framework and tool kits like PyJs, PyGUI, Kivy, and PyGTK.

  • Become a life vest in your software development

Thanks to the Python programming language, you probably simplify lots of complex tasks for making the system in computers and web applications. Numeric and scientific applications are not your challenging once you have it.

It's made with remarkable features to build data analysis and visualization. When you need to do the database analysis, Python features may help you a lot even you have to deal with big databases. No worry about adding additional time and effort.

The data visualization, on the other side, is an obstacle if you do not use it. It can conclusively indicate all present databases. Believe it or not, some Python developers are also successful in processing AI tasks.

  • Implement Test Driven Development

Python developers may use this language to make a prototype in the software application. So, you also construct the software application smoothly from the prototype by using the Python code. With it, you can check the system as well as adopting the Test-Driven Development. The tests are simple before writing codes by using it. Then, you can access the application without taking extra time and effort.

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3 main applications of the Python programming language

  • Web development

Web development

Web frameworks are recently widespread like Flask and Django. These frameworks can create back-end codes with ease in it. Codes run on your server, user’s devices, and browsers (front-end code) promptly. A web framework in Python probably simplifies the system easier to build in the back-end logic. It could be URLs mapping, database resolutions, HTML files creation on their browsers.

  • Data science

The future of the data science is bright and It's a piece of the entire pie. In 2016, Python overlooked on Kaggle – a premier platform for data science. In 2017, it was more popular than KDNugget’s and other used tools. In 2018, 66% of data scientists have shown that they used it in their work as well as in their analytics tasks. Therefore, data science is the second popular in Python applications these days.

  • Scripting

Scripting is a vital piece in writing small programs to automate your simple tasks. Can you believe it? If you have to count the number of emails in a certain keyword, you will do it by hand only. Will you? You can use a simple script to handle this task. It's a good language to manage the task for you. Just understand some syntax rules and write some. It is so fast to write and test.



Other applications when using Python

Embedded applications

It can work well with Rasberry Pi. This is also a common application in the hardware hobbyists.


Desktop applications

In the past, we could make one with Tkinter and Python. However, it is not a common option anymore. Today, you ought to change C#, C++, Java, and JavaScript with Python.


Final Words

Like other programming languages, it also has some downsides in the built-in features. It has a slower speed than other languages such as C++ and Java. It does mean that you need to improve its application by changing the code or using custom runtime. In essence, we ought to use it in writing codes, build up software development, make software maintenance easier; and other tasks in coding.


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