Introduction : 

Python has become one of the hottest topics in the field of programming in the past few years and has been widely used among big tech giants and developers today. Especially today when it’s all about data in almost every field, Python is giving a glorious touch to data mining, machine learning, and many other fields that were not common earlier. It is commonly known for its vast set of tools, and libraries that make it go smoother than any other language today.

1. Data Science: 

Python is the preferred programming language of most data scientists. Be it IT ops, software development, or marketing, currently every job makes use of data and depends on it to drive its operations. With the release of ‘Numpy‘ and ‘Pandas’, Python rose to prominence in the world of data. Python also handles statistical, tabular, and matrix data and also visualizes it with libraries like ‘Matplotlib’ and ‘Seaborn‘.

Moreover, in the data science arena, python job postings outnumber all others. 

This indicates the fact that the skills you gain with Python will directly transfer to developing your analytic skills.

2. Versatile Language and Platform: 

Python remains very relevant today as it can be used in any operations scenario or software development, be it in managing local and cloud infrastructure, working against an SQL database, developing a custom function for Hive & Pig, supporting object-oriented design or even developing a small tool for the user.

3. Python used in other industries: 

Python is a versatile programming language that is widely used across various industries due to its simplicity, readability, and extensive libraries Python – and programming in general – is in such high demand because it is useful in just about every industry. Python is used by companies in recruiting, healthcare, financial services, marketing, education, and many more.

For example, ‘Growth Marketers’ are now basing their marketing decisions on the analysis done in Python. Businesses are turning away from Excel spreadsheets and towards Python-driven analysis.

4. Vast Libraries: 

Python is supported by PyPI which has 85,000+ Python scripts and modules accessible to the user. These modules provide pre-packaged functionality available to the users in their local Python environment. It can solve diverse problems such as executing advanced data analytics like developing REStful web services or 

sentiment analysis and establishing computer vision.

5. Web Development: 

Python’s different frameworks support website development. Python has an array of frameworks for developing websites. Popular frameworks such as Django, Flask, and Pylons are characterized by faster and more stable code; 

this is because they are written in Python. Using Python, the users can perform web scraping which means fetching details from other websites.

Startups and Entrepreneurship: 

Python's ease of use and rapid development capabilities make it a popular choice for startups and entrepreneurs looking to build MVPs (Minimum Viable Products) or prototypes quickly.

6. High Salary: 

The salary of Python engineers is comparatively higher as compared to others in the industry. In the United States, a Python developer earns an average of $116,028 per year.

Conclusion : 

Remember, the best language to learn depends on your goals and interests. However, given Python's versatility and widespread use, it's often an excellent choice for beginners and experienced programmers alike. We provide the best Python Intership in Ahmedabad