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All the latest and greatest happenings in the world of data science and machine learning these days seem to end up with Python programming language. In this blog, our main focus is Python language as we go on explaining the top 10 uses of Python in business today.
It is incontestable that Python has become a highly preferred and fastest-growing language as indicated by Stack Overflow’s 2019 Developer Survey. Python has been among the top 10 popular programming languages in 2017, as TIOBE Programming Community Index indicates. For developers ploughing — or wanting to plough — the field of both data science and AI-based deep learning algorithm development, Python is an omnipotent and robust general-purpose, interpretable, high-level programming language.
The reason why the use of Python for developing modern applications has exploded is due to Data Science and Machine Learning (ML). Businesses across the globe rely highly on these two tech twins to stay resilient and competitive among their closest rivals. Python is therefore integrated to build a huge variety of applications from web development and task automation to data analysis.
Uses of Python in Businesses
The following are the top 10 uses of Python development language in businesses:
1)Web Development
Python can be used to build web-based servers and applications. Instagram supports its one billion global users using its Python-powered web structure scaled to meet its dynamic and large userbase.
2)Data Science Solutions
Python is also a perfect tool for shaping data-driven solutions such as Spotify. The app offers an exquisite music streaming experience enabled by features like Discover playlists and smart Radio channels with Python-driven data insights.
3)Machine Learning Frameworks
The best example of a Python machine learning application would be Uber ride that is spread around the globe. Built by a team of skilled programming professionals, Uber leverages Python as a primary language and its library of machine learning and data science frameworks to build powerful algorithms for smooth dealings between drivers and riders.
4)Python for Natural Language Processing
Python also empowers NLP technology operations such as inputs implemented in Google Home Assistant where commands like “OK Google, play my favorite playlist”.
5)Video Game Development
Video games also make use of Python for special features. The Python based Sims 4 lets players make several modifications to its game elements like background, changing character attributes, etc.
6)Entertainment Applications
As unbelievable as it sounds, the world-class Industrial Light and Magic studio for adding special effects in Hollywood movies founded by George Lucas also utilizes the best of Python in its proprietary lighting software.
7)Computational and Scientific Operations
When it comes to building Numeric and scientific applications/models based on computational logic, Python frameworks and algorithms provide immense aid to developers and data scientists.
8)Graphic Application UI
Python has also shown its caliber as an efficient programming language in building unique, user-friendly and intuitive graphic application UI design.
9)Blockchain-Enabled Contracts
Python’s original libraries including Pyethereum are leveraged heavily to build smart, secure and encrypted contracts on Ethereum with blockchain technology.
10)Finance Fintech Platform
There could be no better application than analyst model training with Python. Leading finance banks like Citigroup and JP Morgan Chase use Python Fintech platform to train data analysts and trading-specific algorithms for accurate risk assessment.
Get trained and be a Python professional with Xccelerate courses
From introductory to intermediate, Xccelerate provides Python courses with flexible structure and advanced learning models. The tutors train beginners as well as skill adders to write, run and develop small as well as large applications to be used for diverse business services.
Python-curious learners will become familiar with a range of powerful Python tools and libraries to fuel their development process and manipulate different datasets. The learning platform will help you meet your goals and utilize the best of Python language to build competitive data science and ML models.
Learning at Xccelerate will get you the following gains:
- Advanced and interactive learning experience
- Flexible course structures built to suit your career goals
- In-depth understanding of Python and its industry applications
- Workshop with real-world challenges and resolutions
- Working knowledge of data science libraries (such as Numpy, Pandas, and Matplotlib)
- Direct interaction and career guidance from Python instructors
- World-class faculty of Python instructors and support team
Conclusion
Practically, in the present scenario, there is no general-purpose high-level programming language that is as prolific and as versatile as Python. In a literal sense, it is unfeasible to dream about developing complex algorithm models and business-quality applications integrated with Data science and machine learning platforms without Python code
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