Python is one of the most popular programming languages in the world. It’s remarkably versatile while also being easy to learn. Python is perfect for beginners because it’s simple syntax and object-oriented compatibility make it more approachable to novice coders. This popular programming language is blowing up in the job market. 

One of the reasons for Python’s extreme popularity is its universal compatibility with APIs and many other coding languages such as C/C++ and Java. Python is used and partially funded by Google and Microsoft because they use it in almost all of their technologies, so it’s sure to be well-supported and around for a long time. 

Data Science is a relatively new field in the tech world. There are organizations in nearly every industry going digital and with the transition comes huge amounts of data. Data is extremely useful for business. Data scientists and analysts are more in-demand than they’ve ever been before.

Machine learning uses data to teach a machine how to make an informed decision based on patterns in datasets. Python can be used for every stage of machine learning from data extraction to the development of complex algorithms. Python’s massive selection of libraries makes machine learning easier than ever. 

Python is the most beginner-friendly programming language for machine learning. It offers an easy to read syntax and a strong support network. Machine learning is complex, but Python offers libraries to help developers create faster and more securely.

Data Science is used by businesses and researchers alike to find meaningful insights into the numbers. IT, e-commerce, healthcare, news organizations, political campaigns, and more are using data science to maximize their work. In 2018, 66% of data scientists reported using Python every day. 

Python is a beginner-friendly programming language with an easy to read syntax and simple testing mechanisms. It’s loved by developers around the world who make up a strong support network for this open-source tool. 

Python is one of the most in-demand programming languages for those working in the financial services sector. The number of Python jobs in the financial sector has more than doubled over the past two years. Some banks even offer Python classes or training for their analysts and traders as a part of their onboarding and continuing education. 

It’s true that Java used to be the go-to language for fintech applications, but Python is closing in fast on Java’s number one slot. Python is the perfect programming language for banking, fintech, and financial app development.

Django is insanely popular and widely used. It’s the blueprint for a full website. The creators of Django say that it’s a “complete web framework – batteries included.” This framework has made using Python for web development easier than ever before. 

This application of Python was revolutionary for the already versatile programming language. It has set the stage for Python to creep into the number slot on the list of most popular programming languages in the world.

Python libraries and frameworks are one of the major benefits of Python. A framework is like a blueprint while a library is more like a module. They’re both chunks of reusable code that are secure and standard. Sometimes the words library and framework are used interchangeably.

Python is one of the world’s most popular programming languages, and for good reason. Hundreds of companies use Python for data science, machine learning, web development, app development, and fintech. Large companies can easily collaborate on projects that are written in Python because it’s easy to read, easy to learn, and its libraries and frameworks make everything more efficient.

Python is a programming language that was created in 1991 to make coding fun and fast by using English-like code and lots of white space. It’s easy to learn, has a strong global support network, and is regarded as the most versatile programming language in the world. 

Python has been growing exponentially in popularity over the past decade and is predicted to continue moving up the charts among the world’s most popular coding languages. From job opportunities to job growth, there are a plethora of reasons to learn Python right now!