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Python Programmers

Popular with academic applications and businesses that value stability in applications, Python can be used for diverse array of tasks from web applications to data science. First released in 1991, it is an interpreted language, which emphasizes code readability with a rather unique (among mainstream languages) approach of using whitespace delimitation of code blocks. Like Ruby, Python came into existence inspired by multiple languages including C/C++, Java, Perl, Lisp and Icon. It’s now more popular than many used almost as often as Javascript for web development. As such, Python can be used on many platforms. CPython, its reference, is open-source software, managed by the non-profit Python Software Foundation.

Common use cases

Web Development

Python’s popular Django framework along with microframeworks like Flask allow developers a variety of approaches from which to build web solutions ready for deployment quickly. For companies who need to deploy quickly and stick to budget, Python frameworks work, even with large projects.

Django

Blue chip companies like Google, Instagram and Youtube use Django. With a diverse user base to maintain libraries full of functions as well as create robust implementations of integrated languages,, Python-Django also powers academic and science web applications. Django frameworks include fewer lines of code that do more. It values clear referencing for troubleshooting and debugging. It’s quick to learn how to read the code, all of which means prototypes can to be rolled out quickly. Developers love to work with Python-Django because it is fast, secure, very scalable, and chock-full of extras that save coders from hassle of looking for or writing unique authentication, RSS, content administration, and similar systems.

Flask

Flask is a microframework used by Pinterest and Linkedin. Flask, like other microframeworks, does not provide database abstractions, form validation, and other elements of a web app, which can easily be abstracted away. Instead, it supports extensions which provide these functionalities. It’s more complex, but also more customizable. It works well for smaller, lighter projects and can be a great start from which to launch a prototype.

Data Science

Python is a general purpose language commonly used for data analysis and work with statistics. Due to its syntax, flexibility, and simplicity (without sacrificing ability) it is one of the two languages of choice (the other being R) for such tasks.

Python is an especially good choice when data analysis tasks need to be combined with web apps or if statistics code needs to be incorporated into a production database. Data science packages in Python include NumPy for scientific computing, pandas for data manipulation, matplotlib for 2D plotting, NLTK and StanfordcoreNLP for text analysis tools and scikit-learn for machine learning.

Technology

One of the top ten languages taught, Python is an interpreted language that is easy to read and uses whitespace to delimit code blocks. The syntax allows for fewer lines of code while still expressing concept. It borrows elements from the functional programming paradigm, for instance, basics such as map(), reduce(), filter(), list and dictionary comprehensions, and generators.

Python is a multi-paradigm language with full support for object-oriented and structured programming, and partial support for functional and aspect-oriented programming (including metaprogramming and metaobjects). With extensions, it can also be used for logic programming, design by contract, and more.

Python is dynamically typed with a cycle-detecting garbage collector for memory management and dynamic name resolution for SEO and human readability.

Being an interpreted language, Python relies on extension modules written in languages like C or using PyPy, which is a just-in-time compiler. Another option is to use Cython, which translates a Python script into C. It focuses on clarity as opposed to speed.

Conclusion

Python competes at the top of the pack on various programming language leaderboards. Its URLs can be human-readable and it’s optimized for SEO. Python is secure and stable with an extensive library from years of open-source development. Whatever sized project, if you want reliability and soon, get in touch with our pythonistas, and let them help you make your plans reality.