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Is Python a Tech Stack?

Table of Contents

Python is one of the top programming languages that use scripting or a machine-specific executable format. Python is open source and can be passed off to other languages fairly easily. For most programmers, Python offers relative flexibility and applicability when working with other programming languages, including Ruby, Java, Perl, C++, and more.

Tech stacks are the combination of programming languages and development tools working together to complete one or a variety of tasks. Tech stacks consist of a unique combination of Compute, Storage, and Archiving (CSA) software, web applications, and more.

CSA systems can rewrite in any other language. A programmer can also move their web application or web development to another database system while remaining compatible with the original system if required by the web server, tech stack, operating system, or whatever else the development team needs to achieve their web technology goals.

While this might sound complicated to initially setup.

Skills required by Python Programmers in an Organization

Python is a good choice for those who have the following skills.

Data Science with R and Python

People who have some experience and knowledge of the programming language will be able to start a data science project with Python on their own. With the help of Python and R, they can get better results by experimenting with machine learning algorithms that are available in these languages.

After this, programmers can also deploy their projects via real-time analytics tools such as DataScience Solutions’ BigQuery BigInsights platform, Cloudant Cloud Database, MongoDB, and any other web application they might find useful for their specific needs.

Internet of Things (IoT) Development Using Python

A large number of companies are also involved with software development for IoT solutions using Python. They are trying to create a wide range of IoT solutions, from security systems to smart cars. The difference in how different companies develop IoT solutions is that some companies have developed a cloud-based management system for managing their vehicles.

Other companies have tried to integrate their solution with Google Maps to display the available parking spots in a particular area. Python is a core technology for developing these solutions because Python is easy to learn and very powerful at the same time.

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Testing in the Python Environment

Python’s unit builds a test framework into the language, so there is no need to have an external library or package. It makes it very simple to write unit tests for your code. More importantly, this allows you to run the tests quickly in a simple interactive interpreter and decide whether your code works as it should without running them on every computer you want to test. It also lets you run the tests on multiple computers simultaneously to increase your test coverage quickly.

Examples of Python in Tech Stacks

Python offers the most power and fastest speed of development. It provides a wide range of libraries usable by people from the community and companies like Google, Microsoft, etc. Python is also open-source. Programmers can use tech stacks that use Python to modify it without affecting other projects in the same environment.

The most notable features of the Python programming language are as follows:

Python is a high-level language that compiles into bytecode which can run on any hardware with an interpreter or JIT compiler. It has an extensive standard library that provides all the basic functionalities required while developing an application, like data analysis, mathematical operations, web-scraping, etc. It also includes support for multiple operating systems.

Python supports object-oriented programming and functional programming. You can extend it in C, C++, and Java.

On the other hand, Python is not good at parallel computing. The concurrency model of Python is generally considered inferior to that of other languages like Erlang, Haskell, or even Java.

Python uses a scripting language for web development. One can use it to develop web applications(like blogs), Web Services, etc. It has frameworks to build websites like Django and Flask. These frameworks make development more accessible as there are already libraries for most common tasks(like displaying everyday things like links on a webpage).

Python offers you an effortless way to develop e-commerce websites as many open source web frameworks can be used. The Django framework is the most popular one. People are using it to build e-commerce websites. Python also has a console that experts can use to extend existing applications and write new ones.

Python continues to power hundreds of third-party applications and services, like Couchbase, Cloudant, Dropbox, ReadTheDocs, etc. Its features make it popular for developing services like these.

Popular Stacks Built with a Heavy Focus on Python

There are many examples of tech stacks that heavily rely on the Python programming language. While we could talk ad nauseum about the myriad of stacks using Python, it’s worth noting just how flexible Python is in relation to technology stacks.

Popular stacks built with a heavy focus on Python

Some examples of heavy python focus tech stacks include the following:

  • Django

  • LAMP

  • MEAN

  • React

  • Bootstrap

  • Meteor

Let’s take a look at these individually. Please note, much of the following is likely going to sound like a bunch of web development tech stacks geekery, but that’s only because that’s exactly what we’re about to drool over. Sorry, not sorry.

Django

Django is a Web Framework in Python. It makes it easier and better to develop websites. Django’s significant features are:

Django has an ORM which gives this framework easy access to data from databases and supports a variety of them like MySQL, PostgreSQL, etc. It also offers an admin module that provides an interface to manage those database records particularly efficiently. It also offers a template language that makes web development a snap, especially when compared to many other programming languages.

LAMP

LAMP is the combination of Linux, Apache, MySQL, and Python.

This web application development stack is widely used by a number of companies and organizations. Oh, it’s also worth mentioning that the P in “LAMP” originally stood for (and still often stands for) PHP.

LAMP was at its peak when PHP was a more popular programming language than Python. Still, a LAMP technology stack can be built using Python either alongside or as a replacement for PHP. Many companies use Python for their web applications instead of PHP since Python requires far lower resources to run and operate properly on servers. As you can imagine, this makes web app development accrue lower costs while keeping servers running.

Using Python makes it easy to build fast, scalable websites with fewer resources needed to keep business going smoothly. Python also makes sites easier to maintain for those in administrative roles.

MEAN

MEAN combines MongoDB, ExpressJS, AngularJS, and Node.js.

It is a web application development stack that many companies and organizations have used.

Opinions about the MEAN stack have been controversial as Apache has removed MongoDB from the LAMP stack and added Python to replace PHP for web development. Many developers have not accepted it. They think that Python cannot be used as a replacement for PHP because it is not suited for creating dynamic websites like WordPress or Facebook, which requires extensive usage of popular languages like PHP.

React

React is a framework that makes it easy to build single-page applications using JavaScript. It is a general framework for developing web applications. Many companies and organizations have used it over the years. The main difference between ReactJS and other JavaScript frameworks is that ReactJS uses JSX syntax while other frameworks use plain JavaScript or CoffeeScript. It also has a WYSIWYG editor like Bootstrap, making it easy to develop web user interfaces in ReactJS.

Bootstrap

Bootstrap is an accessible user interface library that makes it easy to develop websites with web user interfaces. Many companies and organizations have used it over the years.

Twitter created it in 2005, and companies like Pinterest, GitHub, Instagram, and many others still use it.

Meteor

Meteor is a full-stack JavaScript framework that allows easy development of mobile and web applications using JavaScript. Many companies and organizations have used it over the years.

Meteor is built on top of NodeJS as it makes it easier to develop web applications using JavaScript. It also uses MongoDB to store data for its clients.

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Python Technology Stack

Python is also usable for scientific computation, with packages such as NumPy, and SciPy, offering functionality for scientific calculation, data analysis, and visualization. You can use Python in conjunction with advanced mathematical libraries like Scipy to provide computational capabilities for developing too complicated algorithms to be put into pure Python code.

Conclusion

Python is a general-purpose language. You can use it for web development, server programming, web applications, as a standalone programming language, as one of many tech stack components, and much, much more. Its libraries also make it easy to create programs without wasting server-side resources.

If you’d like to learn more about Python programming language, tech stacks, web development, or have questions about anything having to do with the digital marketing landscape, our Kennected Keynote program should be your next stop. 

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