Python is one of the most widely used programming languages in the world. Python is even used in most top US universities’ beginning coding programmes.
Students learn how to use Python to create basic games, read data from websites, and even do language processing!
Still, many parents and students alike often wonder – how is Python used in companies or various fields.
Read on to learn how Python powers today’s leading industries and plays a major role in numerous computer science disciplines.
Python is a high-level and general-purpose programming language, which means it’s easy to learn and can be used to tackle a wide variety of issues! Python is a great language to learn and use for various applications due to its simple syntax, high readability, and portability between operating systems.
It’s therefore not surprising that Python is prevalent in not only today’s job market but also in common technology we use every day.
Python programming is a talent that applies to practically every business and job function other than software development. Python-based technology is driving innovation and innovative solutions across sectors such as banking, healthcare, insurance, and disciplines such as aerospace and entertainment.
In our What is Python 101 guide, we introduced Python and a few of the fields Python is used in, such as tech, finance, and biotech. But in this article, we’ll be taking a deeper look at even more of Python’s broad uses — specifically in the following areas:
- Web development
- Data science
- Machine learning
- Artificial intelligence
Applications of Python
Coding is crucial in web development to build out site functions, optimize user experience, and ensure that information is organized properly. Python’s web frameworks, such as Django and Flask, have become popular options for website development.
Python is an excellent option for backend web development and is used by many companies today. These open-source frameworks allow users to build web applications more efficiently due to Python’s ability to handle vast amounts of data and automate tasks. In fact, companies such as Instagram, Pinterest and Google incorporate Python in their backend web development.
Python is also a major language of choice when it comes to data science and data analysis.
In the age of big data, we frequently contact data in our everyday lives, with technology such as navigation (GPS), online shopping, energy use, and wearables such as smartwatches.
The average household contains around eleven devices, and that number is likely to increase in the future! With so many devices, there is a vast amount of data that businesses need to process to provide their services.
Python-based tools are often used to visualize, process, and analyze large amounts of data. Data science relates to processing data and inferencing trends — and Python is incredibly useful in this area due to its intensive packages like Scipy, NumPy, and pandas. Additionally, the Matplotlib package can be used to build data visualizations. This makes Python a popular choice in fields like bioinformatics which also involve a lot of data and modelling.
These Python-based tools have become popular due to their ease of use and scalability. For example, Netflix uses Scipy and Numpy for numerical computing to manage user traffic across the platform.
By analyzing vast amounts of data, machine learning algorithms can find patterns and apply those patterns to make sense of future behaviour.
The most obvious use of machine learning in products is recommendation systems. Companies such as Netflix, Spotify, and Youtube collect user activity to make predictions and suggest playlists and videos.
Scikit-learn and TensorFlow are Python libraries that enable the use of algorithms for classification, clustering, and regression on large data sets. The high performance and extensive functionality of these libraries make them essential in any exploration of machine learning.
Machine learning is actually just one facet of artificial intelligence. AI refers to the brightness of machines and the development of computer systems to perform human-oriented tasks such as perception or decision-making.
One prominent example of artificial intelligence is in ridesharing apps like Uber and Lyft. Python is used in artificial intelligence for apps like Lyft or Uber. The AI system can then predict things like user demand and estimated arrival times. Uber utilizes AI for predicting user demand and estimated arrival times (among other features), and much of this is accomplished through Python.
In addition to some of the previously mentioned Python libraries, AI functionality such as prediction models and neural networks can be created through other libraries like Keras and PyTorch.
Python is Everywhere!
Among popular programming languages, Python is one of the most diverse in its applications. Moreover, it’s deeply integrated into our everyday life as well as today’s leading companies.
Professionals in a wide range of fields can use Python in their work. These include software engineers and web developers, as well as data scientists and product managers. Python is the ideal tool for data-driven decision making in today’s modern age, regardless of industry.
If you or your child are interested in the fields or roles listed above, then learning Python is a great choice!