An object-oriented, high-level, and interpreted programming language, Python can be used for various applications. It includes high-level data structures, dynamic typing, dynamic binding, and many more features that make it useful for developing complex applications.

It is also known as a universal language and can run on nearly every system architecture; thus, it is found in various applications. Beginners who plan to join a Python course usually have some language-related misconceptions, like it is only a scripting language, it is slow, and is not good for enterprise-scale production

In this article, we’ll be thoroughly analyzing the language to help you figure out whether all of these misconceptions are true or false. Go through these points and find for yourself how beautiful language Python is.

  1. Python is Old and Outdated
  • It is true Python is an old language, but that does not mean it is outdated. Python has evolved with time and leads the sector just like before.
  • Python is a general-purpose language, so it can be applied to various problems.
  • Python has come a long way with an ever-growing community of users and fans.
  • The core updates like Python 2 have provided tools not just for scripting but also for Developing complex software applications that are performant and scalable.
  1. Python is in Less Demand
  • Python is much more in demand than any other language. In common public opinion, it is ranked the 4th position after Java, C, and C++.
  • Python can guarantee a long-lasting career, meeting trending payment criteria ranging from $80,000 to $1,20,000 per year.
  1. Python is Difficult to Learn and is a Time-Consuming Process
  • Many beginner programmers think Python is difficult to learn, though it is not. You don’t need any specific programming knowledge to start learning Python, though it may be an added advantage.
  • Python is comparatively easy to code and implement, though it is a high-level language. You can also join the Simplilearn online certificate course to learn the basics of Python.
  • Most of the statements written in the Python program look like instructions written in the English language, with simple mathematical calculations and very less syntax.
  • Python has a large supporting community and plenty of resources to take care of the issues relating to programming
  1. Python is Costly
  • Python is an open-source language and is available for free download.Python Certifications.
  • It is operated by the Python Software Foundation (PSF), which provides its users and organizations (both small and large scale) with Open Source License (OSL).
  • Most of the licenses are open source, but some of the contributions also come from General Public License (GPL).
  1. Python is Slow and Weakly Typed
  • Python is slow compared to C++ and Java but is fast compared to languages like JavaScript, Ruby, etc.
  • Python has its specific runtime and is not slow compared to other languages.
  • Complex applications can be developed in no time within a justified pace by employing Python.
  • Python is a very strong typed, dynamic language and can be considered in broad areas of development.
  • Python can be used as a scripting language. It supports multiple programming paradigms like OOPs, Imperative, and Functional also.
  1. Python is Used Only for Scripting
  • The most common myth among beginner programmers is that Python is just a scripting language. However, Python is a general-purpose language with the additional feature of being a scripting language.
  • Most scripting languages do not have features like networking, exception, and regular expressions, but Python has all of these.
  • Python also supports compilation similar to other programming languages like Java.
  • The compilation process can be automated without being detected, and also there’s no need for any separate compiler for Python.
  1. Python is Not Scalable
  • Python can be scaled vertically and horizontally, though the process is not automated and requires some engineering efforts.
  • Very few companies face scalability issues with Python, mainly due to a lack of proper architecture and not because of wrong coding.
  • The top companies like YouTube, Dropbox, and Instagram, run massive-scale operations with a backend running on Python, thus proving this myth wrong.
  1. Python is Not For Large Projects
  • Python is one of the best choices for large projects. Bigger companies like Facebook, YouTube, Google, etc., use Python for a varied set of successful projects.
  • Python provides a predefined set of libraries to users, which can be cloned to create a new code of your own, according to the functionality.
  • Most of the newly customized libraries are added to Python and can be used multiple times to reduce the amount of time and work invested in composing the code.
  • Designing a program and implementing it in Python is much easier as other languages are complicated and take more time.
  1. Python Does Not Support Concurrency
  • Concurrency refers to the simultaneous occurrence, i.e., when two tasks starting simultaneously are executed in overlapping time intervals.
  • The things occurring simultaneously in Python are called by different names like threads, processes, and tasks, but at a high level, they’re all the same.
  • Python comes with built-in concurrency support and is supported by frameworks like Stackless and PyPy, that help in involving custom concurrency.
  1. Python is Insecure and Lacks Support
  • Many consider Python less secure because it has little coding and simple syntax. Also, coders assume that the Python code is prone to cyberattacks, but this is all just an assumption.
  • Python has a strong official support system to solve security issues and fix them. The organization can reach them anytime, and the details will remain confidential.
  • It can also be used similarly to other languages to develop networking security structures.
  • It is so secure that it can be used for building automation testing and security testing tools and can be used for developing critical functioning systems, even on a small level.
  • Python is adopted by Paypal, eBay, and other secure third-party global payment sites, proving that Python is very secure.

They are misconceptions about every programming language, and it will become clear when the programmer starts to implement that programming language. It could be a difficult choice to choose among so many programming languages. But Python is one of the best options for as it is simple, easy to learn, has fewer complexities, and is cost-efficient.

By mansi

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