Why You Should Learn Python In 2024?

The IT industry is moving at a rapid pace and you get to hear about a new technology or programming language that is emerging and reinforced by people every day. For beginners who are confused about which programming language would be well adapted and fit for them, this becomes overwhelming.

The Python programming language is intuitive and suitable for a wide range of applications.

Python is a language for high-level programming. In our everyday language, the code of high-level programming languages uses common words. This makes it intuitive and relatively easy to learn Python code. This helps to quickly convert thoughts from concept to application. Readability also ensures that cooperation between programmers is simpler because the work of each other is easier to understand.

Pythoncan be used for a wide variety of applications, in addition to being easy to read. It can be used for activities in data science and for setting up an interactive web application or activity automation.

The popularity of Python is growing and will in the future be indispensable.

In the future, where other programming languages are likely to fade into the background, the programming industry strongly believes that Python will continue to hold a large share.
Research conducted by the Stack Overflow coding community suggests that Python is the world's fastest-growing programming language and is expected to continue. If someone is learning to program in Python now, they will increase the chances of a successful IT career.

The first question that probably comes to your mind is "Why do you learn Python specifically?" ”
Well, the answer is pretty simple to this question. Think about the variables that you would like in a programming language to include.\

1. Learnability

Will it be difficult? No!-No! Not at all at all. In many universities, Python is the first language of choice and even kids in school are learning to program with Python. The Python language was designed to ease English-like syntax programming, reduce all low-level tasks, and provide you with a high-level abstraction for performing any tasks you want.

2. Productivity Increased

What are you planning on doing after learning a programming language? Do you want to create applications, web services, exciting games, perform complex scientific or numerical calculations, automate a repetitive task, or gather insights from some data? Python has everything covered for you. It is one of the languages that are most products out there.

3. High-paying wages

The best investment that you can make today is learning Python. In the field of web development, machine learning, and data science, in particular, Python developers are paid the highest. Depending on the location and your experience in the industry, salaries can range from $70,000 to $1,50,000. In the IT industry, there is a lot of demand for Python developers, so you will not have any trouble finding Python jobs on the market. Python is #2 on the Tiobe index, and it has been the programming language of the year many times, including 2024, another fun fact.
It will probably also be the programming language of the year in 2024, according to our predictions.
There is no limit to the things you can do with Python, but here we are going to describe some of Python's most important real-world apps.

Web Development:

For rapid web application development, Python is a good choice. Python enables you to build web apps with great speed with many frameworks like Django, Pyramid, and Flask. You can use Python to interact with the database and build Rest API services. Python is used on the server-side of web development.

Data Science:

Earlier Python was mostly used to automate tasks for building applications and writing scripts, but now Python has become even more uplifted by a whole new data science trend.

Data science people rely heavily on Python because of its benefits, such as simplicity, great community, and the ability to easily compute huge calculations.

Python libraries and frameworks popular in the field of data science are:

Pandas (Data analysis)
Numpy (Numeric and scientific calculations)
Matplotlib, Seaborn (Data visualizations)
Scikit-learn (Machine learning)
Tensorflow, Keras (Machine and Deep learning )

Artificial Intelligence:

The artificial intelligence era will be soon
Computers and machines have been used at very high speeds to perform mathematical calculations, but now many large organizations and researchers are working on building smart systems that can perform tasks as a human being would.
Machines are, to some extent, capable enough to comprehend human emotions and their natural language.
They can imitate certain actions performed by humans that were previously not possible. Python is popular once again for building AI systems.
Below are some Python libraries that are used to build intelligent systems:

NLTK – Natural language toolkit for Natural language processing
OpenCV – Open-source computer vision library
Keras – Deep learning library
Microsoft cognitive toolkit – deep learning framework

Automation:

By automating many tasks, such as scrapping a website to collect data, automating test cases in software development areas, and automating mundane office tasks, Python can make life easier. All types of files can easily be accessed and read by Python, which opens up an opportunity to save a lot of time by automating repeated tasks.
For automation, the frameworks or libraries used are:

Robot framework
PyTest
Python selenium
PyUnit

Python is noticeably used in various fields and it shows no signs of stopping. It is safe to conclude that Python will remain in this ever-changing and evolving IT sector for the long term.

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