Why You Should Learn Python In 2022

Life is short (You Need Python) — Bruce Eckel

The very first time Python was heard of as a programming language was in 1991. Python is one of the hot topics in the field of programming these days. Python as a result of new technologies and advent (as well as a bunch of YouTube videos) has reached the peak of its popularity as a result, Python is now the most widely used programming language in the world right now. It is the most loved language for programmers, developers, software engineers, and many others. How did Python become so popular? Well, it’s because of its simplicity, adaptability, and object-oriented features. But before we go into why you should learn Python, let’s look at what we can do with it as a programming language.

What is Python Used For

Python is commonly used for web development, data science, software development, data analysis and visualization, and task automation. It’s easy to learn syntax has made it a choice language for even non-programmers for a variety of tasks. Here’s a closer look at what you can do with Python.

Web Development

Python is often used as a backend programming language for web applications — the part the user doesn’t see. The availability of different Python frameworks such as Django and Flask, which generate faster and more stable code allows one to develop efficient web applications seamlessly.

Artificial Intelligence and Machine Learning

One of the areas where Python shines as a programming language is in the sphere of Artificial Intelligence and Machine Learning. Artificial Intelligence enables machines to analyze problems by thinking up an efficient solution. Artificial Intelligence is present in almost all areas such as voice recognition, social media feed algorithms, and even self-driving cars. Thanks to libraries such as Keras and Tensorflow (which are being updated every day), Python can implement machine learning algorithms.

Automation and Scripting

Python can be used to automate tasks efficiently. In the coding world, automation can be used for executing simple math, checking errors across multiple files, removing duplicates in data, etc. Scripting is the process of writing these automation processes. Many things can be done automatically with Python.

Software Development.

With Python software, developers can automate testing for new products or features. Python aids tasks such as bug tracking, build control, and testing.

Data Science / Data Analysis

Python has become a major language in data science. This allows data analysts and other professionals to create data visualizations, manipulate and analyze data, conduct complex statistical calculations, and other data-related tasks.

Even though python is a good programming language a beginner can encounter certain peculiarities, here are the pros and cons of the programming language.

Pros:

• Python syntax is easy to learn, making it a rather simple programming language for beginners to pick up.
• Python as a multiplatform language enables it to integrate well with other Programming languages
• It doesn’t need to be compiled before running, as it is an interpreted language.
• Offers unrestricted to a large number of frameworks and libraries that are often constantly being updated.
• It is one of the most popular programming languages that is utilized in nearly every popular field of technology.
• Relatively higher salary opportunities than other Programming languages.

Cons:

• Python is relatively slow compared to other programming languages.
• Python is not a good choice for mobile app development.
• Distinct levels of code are represented by whitespaces and indentations. This makes it easier to see and understand but can cause problems in large projects.

Python is a good choice and is recommended to those that are making their way into the IT industry. This is why a variety of courses for beginners are readily available. Everything is intuitive and simple enough.