Where is python used the most?
Python is an object-oriented high-level programming language.
Introduced in 1992, it’s built in such a way that it is easy to understand so anyone from any non programming background can adopt it for day to day tasks, like for Data Visualisation, Data analysis, Web development, Automation or scripting, Software testing and prototyping. Python is mostly used for developing websites and softwares.
Why is Python so popular?
- Its ease of use: For those who are new to coding and programming, Python can be an excellent first step. It’s relatively easy to learn, making it a great way to start building your programming knowledge.
- It’s simple syntax: Python syntax is easy to read and understand, it’s more like English. Its syntax is designed in such a way that many lines of code can be just written in few steps with python
- Its thriving community: As it’s an open-source language, anyone can use Python to code. It has its own contributions and libraries.
- Its versatility: There are many uses for Python. Whether you’re interested in data visualisation, artificial intelligence or web development, you can find a use for the language.
How long does it take to learn Python?
Compared to other languages, Python is much easier to learn.
It is possible to learn python’s basics in just a few weeks with just a few hours of learning required each day.
What is Python used for?
1. AI and machine learning
Because of python’s stability, flexibility and simple programming syntax it is used in AI and in machine learning.
2. Data analytics
Data analytics is another rapidly developing field that utilises Python programming. At a time when we’re creating more data than ever before, there is a need for those who can collect, manipulate and organise the information.
3. Data visualisation
As python is open-source, It provides a variety of graphing libraries with all kinds of features allowing you to transform the data into meaning insight.
4. Programming applications
You can program all kinds of applications using Python. The general-purpose language can be used to read and create file directories, create GUIs and APIs, and more. Whether it’s blockchain applications, audio and video apps, or machine learning applications, you can build them all with Python.
5. Web development
Python is a great choice for web development. Some of the web development frameworks are Django, Pyramid, and Flask.
6. Game development
It’s possible to create simple games using the programming language, which means it can be a useful tool for quickly developing any prototype.
7. Language development
The simple design of Python and its syntax means that it has inspired the creation of new programming languages. Languages such as Cobra, CoffeeScript, and Go all use a similar syntax to Python.
Python is increasingly being utilised in the world of finance, often in areas such as quantitative and qualitative analysis. It can be used in price predictions and automating workflows across different data sources.
Another slightly surprising entry on our list of Python uses is in the field of search engine optimisation (SEO). It’s an area that often benefits from automation, which is certainly possible through Python. Whether it’s implementing changes across multiple pages or categorising keywords, Python can help.
Emerging technologies such as natural language processing (NLP) are also likely to be relevant to those working in SEO. Python can be a powerful tool in developing these NLP skills and understanding how people search and how search engines return results.
Python can be used to develop graphic design applications. It is used across a range of 2D imaging software, such as Paint Shop Pro and Gimp.
Python is even used in 3D animation software such as Lightwave, Blender, and Cinema 4D, showing just how versatile the language is.
Why do companies use Python?
Large companies use Python because it’s easy to read, easy to learn, and its libraries and frameworks make everything more efficient. Plus, it plays well with other languages like C++ which makes it simple to integrate with preexisting code when a company wants to upgrade or just add on.
Frameworks and libraries are scalable and secure blocks of reusable code that was usually written by someone else. Together, these developer tools make writing web applications more efficient because a developer doesn’t have to write every line of code themselves. Libraries are smaller chunks of reusable code that you can add to your own code. Frameworks are a collection of larger blocks of code that allow developers to write large applications more efficiently.
Think of your coding project as a house. You can imagine a framework as a model home that’s mostly already built, you simply have to choose the finishing touches.
What do companies use Python for?
The increasingly popular language–currently the world’s third most popular–has become a foundation of major companies like Google, Instagram, Spotify, Quora, and Dropbox. Some companies, like Netflix, Facebook, and Reddit have even released open-source Python frameworks and libraries for outside developers to use. Every company uses Python a bit differently. You’ll find it in back end development, behind huge social media platforms, powering recommendation engines, crawling and indexing web pages, and connecting teams at large companies.
Google loves Python so much that they rewrote their entire web crawler, originally coded in Java, in Python. Web crawlers gather information from webpages and organise them in the search index. This crawler is who we appeal to when we optimise a web page for search engines.
Python projects for beginners
- Build a guessing game
- Design a text-based adventure game
- Create a simple Python calculator
- Write a simple, interactive quiz
- Build an alarm clock
Applications for Python
Web and Internet Development
Python offers many choices for web development:
- Frameworks such as Django and Pyramid.
- Micro-frameworks such as Flask and Bottle.
- Advanced content management systems such as Plone and django CMS.
Python’s standard library supports many Internet protocols:
- HTML and XML
- Email processing.
- Support for FTP, IMAP, and other Internet protocols.
- Easy-to-use socket interface.
Scientific and Numeric
Python is widely used in scientific and numeric computing:
- SciPy is a collection of packages for mathematics, science, and engineering.
- Pandas is a data analysis and modelling library.
- IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualisations and parallel computing.
- The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials.
Python is often used as a support language for software developers, for build control and management, testing, and in many other ways.
- SCons for build control.
- Buildbot and Apache Gump for automated continuous compilation and testing.
- Roundup or Trac for bug tracking and project management.
Python is also used to build ERP and e-commerce systems:
- Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications.
- Tryton is a three-tier high-level general purpose application platform.
Which Companies Use Python?
Companies that require Developers and Data Specialists to work with Python are Uber, Goldman Sachs, PayPal, Netflix, and Google.Google has backed Python from almost the very beginning. Python enabled ease of maintenance and relatively fast delivery.
Facebook loves Python because the ease of using its libraries means that production engineers don’t have to write or maintain as much code, freeing them to focus on getting improvements live. Also, it ensures that Facebook’s infrastructure scales efficiently.
Netflix Engineers have cheered Python’s standard library, the extremely active development community, and the rich variety of third-party libraries available to solve nearly any given problem.
Finally, because many of Dropbox’s libraries and internals are proprietary and not open source, the company has released a very efficient API coded in Python that allows you to see how their engineers are thinking. Interviews with Dropbox Engineers have indicated that a huge percentage of their server side code is Python.
Python, however, isn’t only sought after in specific companies, there are entire industries that rely on the use of Python. Astronomy, social science, AI, and the Internet of Things are examples of fields that have multiple roles that rely on Python.
Scope in Python
A wide range of financial institutions, tech companies, government agencies, and more look for candidates who have a mastery of Python for roles within web and software development and data science, among others.Generally speaking, Python Developers (sometimes just referred to as Web Developers, or, more precisely Back-End Developers) use Python to develop websites, applications, games, and more.
Data Scientists use Python for computing large amounts of data and drawing from large databases and libraries.
Python is used by Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify, and a number of other massive companies. It’s one of the four main languages at Google, while Google’s YouTube is largely written in Python. Same with Reddit, Pinterest, and Instagram. The original BitTorrent client was also written in Python. And it is used as a scripting language to control Maya, the industry standard 3D modelling and animation tool.
Python is used heavily in academic research, particularly in bioinformatics, biology, and mathematics. It is the standard introductory language for many university computer science programs.
That concludes our look at what Python programming can be used for. As you can see, there are many applications for this popular language, with a wide support network and a diverse range of libraries that can help.
There are many reasons why you might want to start learning Python. It’s a future-proof and in-demand skill that’s required across all kinds of industries.