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                              Top 9 Use Cases of Python in Business

                              Lal Pratap by Lal Pratap
                              April 2, 2022
                              in Education, Tech
                              Reading Time: 7 mins read
                              0
                              Use Cases of Python in Business
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                              What programming language became the most popular software development tool by beating seemingly stable leaders such as Java and C? This is Python, of course. At the beginning of 2022, Python’s growth was about 14%, and it took a bold first position. It is trusted with its development by world-famous enterprises such as Google, Instagram, Netflix, YouTube, and Spotify. The right question is why. So, we decided to look closer at cases that find Python development suitable for their businesses in 2022.

                              Tiobe Programming Community Index

                              Table of Contents

                              • Reasons to Choose Python
                                • 1. Simplicity
                                • 2. Great Community
                                • 3. Scalable and Flexible
                              • Advanced functionality
                              • Top 9 Python Cases
                                • 1. Web Application Development
                                • 2. Data Science
                                • 3. Artificial Intelligence and Machine Learning
                                • 4. Gaming Industry
                                • 5. Corporate Applications and Video Conferences
                                • 6. Natural Language Processing Platforms
                                • 7. Internet of Things
                                • 8. Text processing
                                • 9. Development of Entertainment Applications
                              • Conclusion

                              Reasons to Choose Python

                              Developers worldwide want to feel excited and amazed when writing code. But how can Python help them? We are ready to answer all questions.

                              Reasons to Choose Python

                              1. Simplicity

                              By choosing Python, companies get a simple syntax that is easy to work with, even for juniors. Developers can start complex projects with minimal training time. Clear syntax reduces the number of errors and simplifies automatic testing of the product, which means that the product will reach the market faster.

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                              2. Great Community

                              Companies and businesses find Python attractive not only because it’s free and open-source but has vast numbers of proven communities where experts can quickly consult and find a better solution in different situations.

                              3. Scalable and Flexible

                              The market giants have long realized that Python allows them to easily handle a large amount of traffic, thereby scaling the product faster. That’s why it is used in various business interactions like eCommerce, gaming and entertainment platforms, educational businesses, IoT and virtual reality, etc.

                              Advanced functionality

                              Choosing Python advanced functionality, companies get advanced functionality such as:

                              • Managing database and content
                              • Providing maintenance and support of user accounts
                              • Collecting online data
                              • Handling repetitive complex tasks

                              JetBrains created a study that shows all cases for Python development opportunities in 2021. 2022 has just begun, so perhaps more exciting ideas will be added to this list.

                              What do you use Python for

                              Source: JetBrains

                              Top 9 Python Cases

                              Here are the nine best uses in Python in the real world.

                              1. Web Application Development

                              Almost 50% of Python development efforts were for developing web apps the previous year. Global companies choose Python for their software because of its secure, convenient, and scalable opportunities. Django and Flask were the most popular framework for building highly productive and well-performed websites in 2021. They went almost hand in hand to the final line regarding the number of uses, but Django emerged victorious at the very end.

                              Django took the first place of leadership thanks to its ability to build a full-fledged dynamic environment for web development and reduce product creation time.

                              Web Application Development
                              Source: Medium

                              2. Data Science

                              In 2021, data science firmly established itself in the market with considerable popularity among businesses and staff involved. Using data analytic tools, over 65% of companies in the insurance, finance, and telecommunication sectors made crucial business decisions in 2020.

                              From 2020 to 2021, the number of data science specialists has increased by 50%, and at LinkedIn, the number of requests for specialists in this field will grow to almost 12 million experts by 2026.

                              Python, along with its libraries like Pandas, NumPy, SciPy, and some others, helps in working with data and extracting valuable information and ideas that will influence important decisions.

                              3. Artificial Intelligence and Machine Learning

                              In 2021, about 57% of businesses had improved their customer experience using artificial intelligence and machine learning.

                              AI and ML are fashionable and extremely useful for fast processing and obtaining data in real-time. Consumers will get a better user experience if their desires are carefully crafted and researched.

                              Python is highly effective if companies plan to develop a safe and stable app for data processing because developers can write simple, productive algorithms.

                              The use of Python in AI has the following advantages:

                              • Advanced analyzing systems
                              • Helpful tools for image recognition
                              • Speech to text conversion or vice versa

                              4. Gaming Industry

                              Experts can build tree-like algorithms that are useful when designing different levels in a game. Since modern games require complex treatments simultaneously, Python works well in this matter. Many world-famous games are written on Python, such as Battlefield 2, Freedom Force, World and Tanks, The Sims 4, Civilization IV, etc. Most of these games use libraries for Python, such as PySoy and Pygame for development.

                              For example, Fire, VegaStrike, and other games have been built using Python. The language allows companies to build a rapid game prototype and make real-time testing. Python also offers developers the opportunity to install a 3D game engine that helps create influential games and interfaces.

                              5. Corporate Applications and Video Conferences

                              Since 2020, when the pandemic swept the world, the use of Python for creating corporate applications and video conferencing platforms has increased significantly. 

                              Python allows creating comfortable scalable platforms distinguished by their convenience, functionality, and ease of use. People can communicate in groups without problems, especially when it’s a massive corporation with hundreds of experts inside.

                              6. Natural Language Processing Platforms

                              NLP consists of artificial intelligence or/and machine learning tools ready to understand, recognize and use human language to perform specific actions.

                              NLP is an incredible tool that can also:

                              • create a large-scale analysis of visitors with the help of more objective data
                              • help to understand customers and create a greater degree of product satisfaction
                              • expand product capabilities and optimize costs associated with internal processes
                              • reduce staff costs and save money.

                              Technology giants like Google, Amazon, or Facebook invest millions in NLP technology for their chatbots, virtual assistants, recommendation systems, and other machine learning-based solutions. Python also extends the capabilities of operations with NLP technology, such as data entry implemented in Google Home Assistant, where commands such as “OK, Google, I want to find the best tool for.”

                              7. Internet of Things

                              The Internet of Things (IoT) is now on the verge of popularity since people want to receive intelligent and innovative things in their lives.

                              Suppose companies connect Python with Raspberry Pi (a minicomputer designed not for everyday use but experiments and the creation of IoT devices). In that case, developers can perform high-level calculations using Python applications. With this tool, programmers create intelligent products embedded in special machines and track order processing, determining the speed of shipment and the quality of work performed.

                              8. Text processing

                              At the moment, text processing helps users convert certain information from audio or video format to text or vice versa. Applications written in Python allow companies to process text quickly.

                              9. Development of Entertainment Applications

                              Netflix, Spotify, YouTube are some of the large corporations that use Python to create their entertainment applications due to such significant advantages as:

                              • Built-in recommendation engine
                              • Configurable preferences
                              • Product offering based on previous options.

                              Conclusion

                              It is crucial to choose a technology that will be as effective as possible, satisfying all business needs in today’s world. The development speed is also essential for the product to enter the market ahead of the competition.

                              Modern users are very demanding, so companies should look at programming languages that can easily combine with high-quality analytics, processes, artificial intelligence, high-quality graphics, and smooth performance. Python software development is ready to meet these needs.

                              Also read: How To Ensure an Efficient Mobile Game Development Process?

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