Misconceptions about Python

Python is an interpreted, high-level, general-purpose programming language. Its language constructs and object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

Python is a widely recommended programming language for people who are new to computer programming. It is easy to learn. Its syntax is easy and code is very readable. Python allows you to write programs in fewer lines of code than most of the other programming languages. Python has a very vast community across the globe so it is easy to find help if we encounter any problem in its usage.

Is Python preferred for competitive programming?

Competitive Programming is a sport that mainly focuses on compete with other programmers in problem-solving using the computer programming language. In competitive programming, the important criteria are solving a problem in less time. Python is slow because it is an interpreted language. Since speed is an important criterion for competitive programming, it is better to use compiled programming languages rather than using Python. If you are a beginner then you can learn the basic syntax, data structures, and algorithms in python and you can easily switch to other languages.

Is it important to learn Machine Learning after Python?

Machine Learning is a subset of artificial intelligence which provides a system to automatically learn from the existing data. Machine learning is a buzz word used by most people because it is one of the top trending technology using in the industry at present. Machine learning consists of applying different mathematical concepts such as gradient descent, Tensors, optimization, etc. Python is the most preferred language for machine learning because it is very easy to use in numerical and scientific computation and its vast collection of libraries.  Many college students who learn Python mostly jump into machine learning without learning its required mathematical prerequisites. Due to this reason many students can do beginner-level projects but cannot able to continue their growth in the Machine learning sector. So it is important to learn mathematical prerequisites before starting Machine Learning.

Other Applications of Python

Not only Machine Learning but also there are many other applications of Python. They are

• Web Development (Django, Flask)
• Game Development (PyGame)
• Scientific and Numeric applications (SciPy, Pandas, Numpy)
• Desktop GUI (Kivy, Tkinter, Pyqt-5)
• Software Development (Scons, Buildbot, Apache Gump)
• Enterprise-Level/Business Applications (Odoo, Tryton)
• Web Scraping Applications (Selenium, Beautiful Soup)
• Image processing and Graphic Design (OpenCV)