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Python A Powerful Language for High Traffic, Data-Heavy Apps

Python A Powerful Language for High Traffic, Data-Heavy Apps
Yashwant Shakyawal

What is Python?

Python is a computer programming language that lets you work more quickly than other programming languages. Experienced programmers in any other language can pick up Python very quickly, and beginners find the clean syntax and indentation structure easy to learn.


Python was conceived in the late 1980s, and its implementation began in December 1989 by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC language (itself inspired by SETL) capable of exception handling and interfacing with the operating system Amoeba. Van Rossum is Python’s principal author, and his continuing central role in deciding the direction of Python is reflected in the title given to him by the Python community, benevolent dictator for life (BDFL).

Getting Started

First appeared: 20 February 1991; 25 years ago
Stable release: 3.5.2 / 27 June 2016; 2 months ago
2.7.12 / 28 June 2016; 2 months ago

Python may be a widely used, general, high-level back-end artificial language that’s extremely valued by startups UN agencies have to be compelled to quickly epitome and develop applications, similarly to knowledge-driven corporations that require to integrate data analysis and applied mathematics techniques into their workflows.

Its combination of readability, flexibility and quality to knowledge science operations have created Python one amongst the foremost standard and beloved languages per developers on Stack Overflow. That’s not surprising, since using Python is even possible to determine the geolocation, check this guide to learn how to do it. during this article, we’ll explore what sets Python except for different programming languages, why it’s fashionable knowledge scientists, and what you must search for during a Python engineer.

High-level, Readable, and Efficient

One of Python’s shaping characteristics is its potency. each artificial language should balance the programmer’s time and therefore the machine’s resources. Python is biased toward the previous, with a guiding philosophy that comes all the way down to “there ought to be one—and ideally solely one—obvious thanks to doing one thing.” that may mean there’s a small amount of a learning curve as developers learn the ins and outs of Python syntax, however, the top side is that developers will do additional with fewer lines of code compared to additional lower-level implementation languages like Java or C++. This potency is particularly valuable for startups WHO ought to quickly image applications and obtain them to promote.

Python is additionally far-famed for its code readability, which means that an associate degree application written by a developer in Python is additional seemingly to be intelligible to the developers WHO got to maintain it months and years down the road.

Beloved by Data Scientists

Along with R and Java, Python is one in every of the foremost well-liked languages for information science and applied mathematics analysis. Python combines Java’s quality for building high-traffic internet applications with R’s specialize in capital punishment complicated applied mathematics functions for information scientists.

Another one in every of Python’s strongest assets is its intensive set of libraries. These libraries will build it easier for developers to perform complicated machine learning or applied mathematics analysis tasks while not having to rewrite several lines of code. a number of the foremost well-liked libraries embrace tools for information manipulation and image (NumPy, SciPy, and matplotlib), data processing, and language process (Pattern, NLTK). maybe unsurprisingly, Python is that the language of alternative for organizations with data-heavy workflows, from YouTube to the big apple exchange to the National internet Service.

Python Basics

-> It’s object-oriented.
-> It’s cross-platform, functioning on the UNIX system, Windows, Mac, and most different operating systems.
-> Python’s customary library supports:
*E-mail process
*HTTP Server libraries, simple for developing servers, and support for FTP, IMAP, and different web protocols
*It’s free and supported by a full of life ASCII text file community.
*It’s typically substituted for PHP within the LAMP package stack.

Popular Python Frameworks

Python engineers have a variety of choices once it involves frameworks. Frameworks are collections of packages that pay attention to the implementation details, therefore, you’ll be able to quickly write applications. that framework is best for your project depends on the size of your application, its complexness, and your knowledge desires.

*Django: an awfully structured, all-in-one framework with several “scaffolding,” it’s designed for large-scale, advanced applications. several elements and stylish direction build it an honest selection for data-heavy sites.

*Flask: a lightweight, minimalist framework offers developers a lot of versatile approaches to victimization Python. kind of like Pyramid, it’s a loose development vogue and is good for smaller, easier applications.

*Pyramid: the centre road of Flask and Django, this framework offers a combination of flexibility and structure and is additionally sensible for classy, larger applications.

*Twisted: A low-level networking Python framework.

*Tornado: A framework that’s sensible for internet servers and internet apps.

The Python Developer’s Toolbox

What must you rummage around for in an exceedingly Python engineer? expertise on large-scale, high-traffic applications is at the highest of the list, in conjunction with fluency in SQL and information optimization. Python developers’ common duties and core skills embrace standard programming, object-oriented programming, and intensive expertise with SQL.

Other connected skills and technologies a Python engineer ought to apprehend include:

*Unix/Linux operational systems
*Frameworks: Django, Flask, or Pyramid
*MVC pattern
*Strong SQL data and electronic database-style understanding, with a familiarity of MySQL, MS SQL, or Postgres
*Experience with web-based user interfaces, as well as relaxing genus Apis
*Back-end cloud applications and internet services
*Object-oriented programming
*the LAMP software package stack


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