Why Business should use Python

In recent years, Python has developed the language of excellent for data science and artificial intelligence—two technology trends important for global businesses to stay competitive today. In fact, Python is the fastest-growing programming language today as per to Stack Overflow’s 2019 Developer Survey. It’s used crosswise a wide variety of requests from web growth to task automation to data analysis. Startups may optimize a small business team’s workflow by utilizing Python’s efficient syntax and leveraging its many package lending library. Huge enterprises may turn to Python to process huge datasets using machine learning algorithms.

While Python is the existing language of choice for many web developers, data scientists, and machine learning experts, is it the right language for you and your team to use? Here, we look at the features of Python that make it so popular, the libraries that expand Python’s functionality, and some of the most common use cases of Python in professionals today.

The reason why Python is so popular:

As an object-oriented language, Python can run on most operating systems together with Windows, Mac, and Linux. It’s also a developer favorite, with Python round off the number two most popular language in Stack Overflow’s 2019 developer survey. What’s the secret behind its popularity?

Easy to Learn:

Python uses significantly less code than other languages while producing related outcomes. According to Karen Panetta, Dean of Graduate Engineering at Tufts University, Python “reads like English, which makes it more contributing to for a broad level of user audiences to learn. Many of the ‘nerdy’ low-level details we used to worry about in any other languages, such as announcing types of variables or arguments, are handled by Python, so it makes programming very flexible and easier to use than additional languages.

Simplicity:

Rather than using curling brackets, like ({and}), Python uses whitespace to denote blocks of code. This simple and easy-to-follow syntax provides a frank learning experience for beginners and helps more knowledgeable developers focus their time on solving more complex actions like AI algorithms rather than code debugging.

 Libraries:

There’s a wealth of open source lending library built on Python. Libraries are gatherings of packages and modules that can be reused throughout the development cycle, permitting developers to work more efficiently and avoid writing and rewriting common commands. If you are developing for exact actions such as webs craping, for instance, there’s likely already a related Python library that can do those actions without you having to write new code.

Wild In build functionality

Python’s source delivery has a way of life of “Wild In build functionality ” meaning there are already countless standard libraries included in Python. For instance, a math library built into Python provides access to mathematical functions without needful developers to build each function.

Vital for data science and AI professions:

 Python has develop the go-to language for uses in both artificial intelligence and data analysis. For AI tasks, machine learning lending library make it easier for companies to deploy AI functionalities in business. For data analysis tasks, a Python script can systematize many repetitive tasks related to the gathering of data.

8 uses of Python in business

Python’s popularity is driven by a wide range of businesses using it across their products. Developer jobs calling for Python skills have continuous to grow over the last several years, according to data from Dice, a tech recruiting firm. In fact, Glass door called Data Scientist the best job in America for 2019, a role where Python knowledge is now ubiquitous. Python isn’t just adored by one type of manufactured goods or industry. Its flexibility and simplicity have inspired use cases across many common service area including:

Python for web development:

Instagram has one billion employers around the globe and uses Python to efficiently scale its infrastructure across such a large user base.

Python for machine learning:

To power rides across the world, User’s various engineering teams use Python as a primary language and also influence Python-based machine learning and data science agendas to build algorithms that better connect drivers to passengers.

Python for data science:

Spotify has redefined music flowing with its Discover playlists and smart Radio channels thanks a lot to data insights built on Python.

Python for game development:

Video games like The Sims 4 use Python to allow players to create in-game alterations such as changes to the background or helping your characters find true happiness.

Python for entertainment:

Industrial Light and Magic, the movie superior effects studio founded by George Lucas, uses Python in its proprietary lighting software.

Python for natural language processing:

Google Home assistant actions like “OK Google, turn the lights on” are power-driven through natural language processing technology running on Python.

Python for blockchain:

Thanks to lending library like Pyethereum, Python can be used to build blockchain-based secure, smart contracts on Ethereum.

Python for finance:

Investment banks like Citigroup and JP Morgan Chase train forecasters in Python for use in risk assessments and algorithmic trading models.

With Python’s continuous dominance across business functions like data science and artificial intelligence, it’s not amazing nearly 50 thousands students are learning Python on TIB Academy.

Want to up skill your entire team or organization on Python? Request a TIB Academy for corporate training demo and see how we can meet your team’s data science and machine learning goals with Python courses.