Programming languages have been around for a very long time, and each decade sees the emergence of a new language that completely captivates engineers. One of the most well-liked and in-demand programming languages is Python. According to a recent Stack Overflow study, Python has surpassed other programming languages like Java, C, and C++ and risen to the top.
One of the most sought-after programming certifications, as a result, is the Python course. In this blog, we will be discussing the top 10 reasons to learn Python in 2023. It’s best to get in now when the technology is still in its infancy if you plan to pursue a career in Python and want to learn the skills associated with it.
- 1 About Python
- 2 10 Reasons To Learn Python Programming
Today’s most widely used programming language, Python, frequently requires an introduction. Numerous business fields, including programming, web development, machine learning, and data science, use it extensively. Python is popular for Rapid Application Development and as a scripting or glue language to tie existing components together because of its high-level, built-in data structures, dynamic typing, and dynamic binding.
Python is also used for server-side web development, software development, mathematics, and system scripting. Python’s easy-to-learn syntax and emphasis on readability result in lower program maintenance costs. Additionally, Python’s support for modules and packages makes it easier to reuse code and create modular programs. As an open-source community language, Python is constantly being developed by multiple independent programmers.
10 Reasons To Learn Python Programming
1. Simple and Simple To Learn
Python is extremely simple and easy to master. It is a very powerful language that is similar to English in many ways.
What therefore makes it simpler? Python is
• Open source and free
• A vast and blessed community
2. Popularity & High Pay of Python
Some of the highest salaries in the industry are paid to Python engineers. In the United States, a Python developer can expect to earn about $116,028 annually. Additionally, during the past year, Python’s popularity has increased significantly.
3. Data Science
Python is the preferred language of many data scientists. To learn Data science with python consider LIVEWIRE Centre to learn in-demand software courses in Chennai.
Python works with tabular, matrix, and statistical data as well, and it even plots it using well-known libraries like “Matplotlib” and “Seaborn.” Python is renowned for its dependability, scalability, and flexible options for visualization and graphics. As a result, Data Science uses it extensively. Python is compatible with many well-known libraries.
4. Automation & Scripting
Although Python may also be used as a scripting language, most people only know it as a programming language. Writing scripts like,
• Scripts are used to write the code, which is then executed.
• The code is read and interpreted by a machine.
• Error checking takes place during runtime.
The code can be used multiple times after being verified. So you can automate some program tasks with automation. For learners looking for a course in python for beginners, LIVEWIRE is a perfect choice that offers the best python training in Vadapalani.
5. Big Dataset
Python manages a variety of data issues. Python is also compatible with Hadoop and supports parallel processing. You can construct a MapReduce program in Python and process data from the HDFS cluster due to the “Pydoop” package.
Other libraries exist for processing large amounts of data, such as Dask and Pyspark. Python is so frequently used for big data because it’s simple to process.
6. Testing Framework
Python is excellent for testing concepts or products for well-established businesses. There are several built-in testing frameworks in Python that support the quickest workflows and troubleshooting. Numerous tools and modules, such as Selenium and Splinter, are available to make things simpler.
With frameworks like PyTest and Robot Framework, it provides cross-platform and cross-browser testing. Every tester should use Python because it is the best tool for the hard work of testing.
7. Digital graphics
Most small, large, online, and offline projects use Python. It is utilized to create desktop and GUI applications. It offers a quick and simple approach to constructing apps using the “Tkinter” library.
It is also employed in game development, where the logic for using the “pygame” module, which is also compatible with Android devices, can be written.
8. Artificial Intelligence
Artificial Intelligence is the next big thing in the computer sector, which is why you should learn Python. The ability of a machine to think, reason, and make judgments to mirror the human brain is actually possible.
Furthermore, machine learning functionality is added to the mix by libraries like Keras and TensorFlow. It grants the capacity for learning without intentional programming. Additionally, we have libraries like OpenCV that support image recognition or computer vision.
9. Web Development
A variety of website development frameworks are available in Python. Django, Flask, Pylons, and more popular frameworks are available. The fact that these frameworks are developed in Python is the primary factor in the code’s speed and stability.
You can also use web scraping to gather information from different websites. You will be astounded by how many websites, including Instagram, Bitbucket, and Pinterest, rely only on these frameworks.
10. Extendable and portable
You can perform cross-language operations with ease because of Python’s extensible and portable features. The majority of platforms used in the market today, including Windows, Linux, Macintosh, Solaris, Playstation, and others, support Python. Python’s expansion capabilities let you incorporate both Java and .NET components. Additionally, you can use C and C++ libraries.
To Sum Up
The next step is easy now that you are aware of the Top 10 Reasons to Learn Python Programming in 2023 and how it can advance your career. You will learn the fundamentals of Python, data operations, shell scripting, conditional expressions, and Django in LIVEWIRE’s thorough Python Training Course. The curriculum will give you practical development experience and prepare you for a fast-paced and fascinating job in Python programming. LIVEWIRE is a good resource for more details.