Python has emerged as one of the programming languages with the fastest growth among those that are now on the market. Python has a wide range of uses, including creating web applications, creating games, developing machine learning algorithms, and doing scientific and numerical computations. Whether you want to work as a data scientist, machine learning engineer, data analyst, or even software developer, understanding Python will be helpful.
With its focus on statistical analysis and machine learning algorithms, a data science course equips professionals to make accurate predictions and reliable forecasts.
‘It is the second most loved programming language’, according to StackOverflow’s developer survey conducted in 2019.
Developed by Guido Van Rossum, Python is a high-level programming language that works on object-oriented concepts. It boasts dynamic semantics and built-in data structures. It seamlessly supports various programming paradigms, such as object-oriented programming, data structures, and functional programming.
It supports various packages and modules, which allows code reuse and program modularity.
This language is widely used in different business sectors, including web development, programming, data science, and machine learning. Learning Python has become crucial for tech professionals across the globe.
Since it is one of the most widely used languages among developers, machine learning engineers, data scientists, data architects, web developers, and other tech pros, taking python training and acquiring a sound knowledge of the language can be beneficial.
Having a bite of stats makes it more clear.
Quick Facts:
- Python continued to be the most popular programming language in 2020, topping even Java and JavaScript, according to GitHub and Google Trends.
- Some of the biggest organizations are looking for Python Developers, including Accenture, TCS, Google, Cognizant, Microsoft, Amazon, Facebook, MindTree, IBM, Wells Fargo, and many more.
- Python is used for developing high-end applications in industries such as healthcare and pharmaceuticals, aerospace, banking and finance, investment, insurance, and of course, information technology
- The average annual salary of a Python Developer, as stated by ZipRecruiter, is around USD 115,066
- As stated by Statista, Python boasts a popular community for programmers, counting a whopping 15.7 million developers
These stats clearly reveal that Python Developers are highly in demand and can prove to be a great career option. Its widespread use has made it popular among developers, and learning this language can provide you with a lucrative and rewarding career.
Let us look at the top reasons for learning Python.
Why Learn Python?
Although stats have made it clear, some of the most compelling reasons for learning Python are mentioned below.
- Great Career Opportunities and Enhanced Salary
As already stated, many big names are looking for developers who have acquired expertise in Amazon, Facebook, Netflix, Nasa, YouTube, Google, IBM, and many more. Learning Python provides you with various job opportunities and promises advanced career options with great salary prospects.
Also, the average annual salary of a Python Developer in India is around INR 4.5 Lakhs. With experience and certifications, you may earn as high as INR 15 Lakhs annually or more.
In the US, the average annual salary of a Python Developer is around USD 115,066, as per ZipRecruiter.
- Python is widely used in Web Development
Python is power-packed with a huge collection of frameworks that make it simpler for web developers to build robust web applications, including Pyramid, Django, Flask, Gears, and many more.
- Python is an ideal choice for Machine Learning
When it comes to building Machine Learning models, Python is regarded as the most preferred language owing to its simple syntax and its seamless support for various efficient machine learning libraries.
Some of the most widely used Python frameworks for Machine Learning include TensorFlow, OpenCV, PyTorch, Theano, Dlib, and many more.
- Python is extremely popular among Data Scientists
Python is very popular for its widespread use in Data Science. It is scalable and robust and offers extensible graphics and visualization options. It seamlessly supports multiple libraries that possess numerous built-in functions to ease your work of development. Some popular libraries widely used in the field of Data Science include PyTorch, Matplotlib, Scikit-learn, PyBrain, Pandas, TensorFlow, and many more.
- Python simplifies the processes of Scripting and Automation
Python programming is widely used for automating workflows, and that too without human intervention. It is also used for writing scripts.
- Python is power packed with many libraries and packages
Python comprises numerous frameworks, libraries, packages, and modules intended for statistical calculations, data manipulation, web development, data science, as well as machine learning.
- Python is Extensible and Portable
One of the most interesting features of Python is that it keeps you away from the worries of non-native platforms, as the code you write in Python is compatible with a majority of non-native platforms. It can easily be integrated with .NET components, Java, or C/C++ libraries.
- Ease of Use
Python is very easy to use. The syntaxes of Python are very similar to the plain English language making it easy to understand and learn. This is why it is popular among beginners as well as experienced programmers.
- Python supports Testing Frameworks
Python offers support to many built-in testing frameworks that simplify the processes of debugging, troubleshooting, and streaking workflows. Some popular tools and frameworks meant for testing supported by Python are Splinter and Pytest.
Python programming is a general-purpose skill used in almost every domain, including Scientific and Mathematical computing, Finance and Trading, Data Science, System Automation and Administration, Basic Game Development, Security and Penetration Testing, Mapping and Geography, General and Application-specific scripting, and Computer Graphics.
Conclusion
Now that it is clear that learning Python programming can give you a great career advancement opportunity anywhere in the world. Taking a comprehensive course and learning Python with Simplilearn can be a feasible and smart move. This edtech giant ensures that you are equipped with all the relevant skills and knowledge required to start working with Python. This course makes you industry-ready and helps you clear all your doubts with Ask Me Anything sessions, and enables you to work on hands-on industry projects to make sure that you have gained the relevant knowledge.
Enroll Yourself Now!!
