Python Infographic – A Complete Learning Path for Beginners
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How to Start Learning Python?
Do you often wonder about how to start learning Python? What are its advantages and disadvantages? What is the career scope in Python? The best books to learn Python? Here, we will answer all your queries with this Python Infographic.
In use widely as an introductory programming language, Python is powerful. From simple syntax and conciseness to extensive libraries and substantial frameworks, Python has it all. This also makes it suitable for domains like machine learning and data science. Being open-source and popular, it observes a large community always looking to bettering it.
Why Should You Learn Python?
There are a number of reasons which can influence you to learn Python.
- Python supports multiple programming paradigms
- Vast community and better support
- Python has a huge set of libraries and tools
- Specially designed for better code readability
- Python has the future in Big data, Artificial Intelligence, networking, etc.
Where can Python be used?
Python is an object-oriented programming language used in many sectors like:
- Desktop applications
- Website programming development
- GUI application development
- Software testing
- Artificial Intelligence
- Machine Learning
- Data Science
- Deep learning
- It can be used as a scripting language for blender, open office, SIMP, etc
Hope this answered all your questions. Python is an emerging programming language in the IT Industry; its popularity and demand are increasing day by day. You can check the Latest Python Career Opportunities and Job trends in this Python Tutorial.
Python is also great for data science and machine learning. Here, we can say that 99.4% of websites using Python use Python 2; only 0.6% of them use Python 3. It is also interesting to note that the support for Python 2.x ends on January 1, 2020.
So, what are you waiting for? Start learning Python today and enter a new world of Data Science! We have a series of Python tutorials, start your learnings from here – Python Tutorials Home