Which are the Important Python Frameworks for Developers in Future?

Python is arguably the simplest multi-purpose OOP language popularly used by software and web application developers across the world. It enables minimal coding development and seamless integration with other programming language and tools, making it a favorite for many developers.

C++ vs Java vs Python a comparison

C++, Java, and Python; these are undoubtedly 3 of the most preferred programming languages in the present times. Pick up any top programming languages list and you’re going to see each of the trio securing their place on it. However, if you’re to choose a winner among the three? Which one will it be? Obviously, this isn’t a question with a concrete answer.

Each one of the triad, C++, Java, and Python, has their own advantages and issues that they call forth with their use. C++ is preferred for its speed and memory management, while Java’s platform independency makes it an opportune option for cross-platform development. Python, on the other hand, is more like a human language with high readability, less complex syntax, and an active community support.

Choosing among C++, Java, and Python depends on the specific requirements that a programming task calls for. Personal preference is yet another parameter that adds value to each of the 3 options. Typically, it is advised to stick to a preferred programming language until one gets adequately adept in the same. Before advancing with the dissimilarities of C++, Java, and Python, let’s first have a brief review of their important aspects:

7 Reasons Why You Should Learn Python

Python is preferred by many developers for its strong emphasis on productivity and readability, especially when compared to other languages like Java, PHP, and C++.

Professionally, Python is great for backend web development, data analysis, artificial intelligence, and scientific computing. Here’s why Python is worth learning in 2017 and the years ahead:

10 Most Common Mistakes PYTHON Developers Make

Python is known as high-level programming language because of its easy-to-learn syntax and dynamic semantics. Python is widely used for rapid application development due to its large support of modules and packages and code reuse along with program modularity.

Python’s easy and simple syntax sometimes mislead developers - especially if they are new to the language. This blog covers some of the top mistakes that even an advanced Python developer can make.