It is not a secret that Python is one of the most used programming languages in the Data Science community. Be it coding or any data science need, Python takes care of any such needs. Its open-source structure and versatile functionality facilitate structural, object-oriented, and functional programming.
Hence, many colleges are focussing more on teaching their students Python programming to be job-ready after graduating from college. There are even many online websites offering Python homework help so that students get instant Python assignment help when they need it. However, the tech experts also believe that Python isn’t the ideal course that you should begin your career. Here are seven thoughts that back up their theory –
- Not the Ideal Language
Python is not the first programming language mobile app developers turn to while developing an app. This code is written in multiple lines, slowing down the entire coding process. Every programmer must learn how to work under a tremendous workload. It is one of the primary requisites of becoming a coder. However, while using Python, the speed decreases so drastically that it increases the physical and mental workload of the coders.
- Limits Multitasking
Python programmers need to simultaneously manage the front and back end throughout the day. They need to write the correct algorithm, analyse and test the codes and execute them while managing the front and back ends. Hence, they get annoyed and don’t prefer working with Python.
Python has its limitations. It restricts database access and poses to be a major barrier for large companies when they look for a language that ensures smooth communication with complex legacy data.
- Lack of a Programming Language Syntax
Python codes are usually weaker. So, it doesn’t really allow you to get the fluidity like other programming languages. Not to mention, there is no specific programming language syntax for the codes to function properly. So, experts advise new students to use Python at their own risk since it is not a secured language and makes the programming process challenging.
- Indentation Issues
It is arguably the most annoying thing about Python programming. Python uses black spaces at the beginning of each code. This marks which part of the program has an empty place. This makes rewriting and editing the codes extremely messy and confusing. If the new code gets written by a different coder, they may struggle to understand which part of the code has been intentionally keeping blank and which part marks the blank space at the beginning of lines. This leads to several errors and a loss of time.
- Limits Creativity
You cannot explore your creative side while doing Python coding. There are always high chances that some other writers have encountered the issue you are facing. If they already solve those issues, you can find them easily with a few simple google searches. Since you can get every solution from the web, you do not get many options to show your creative flair and come up with a unique solution.
- Design Issues
It is another issue that coders often face while Python coding. You need to undergo several testing phases during encoding. However, you can only find the errors during the runtime. Since Python is a vastly dynamic language, you cannot find any errors in the preliminary stages. Hence, this remains a major design flaw.
- Lacks a Compiler
Python doesn’t come with an inbuilt compiler. So, you cannot convert your code into an executable file automatically. You always have to do an extra step of converting the codes so that you can run them. So, in the long run, Python always becomes less productive.
So, coders get frustrated after doing extra steps in the long run and start writing the codes hastily, thus compromising the quality. So, we can say that while Python coding is good for small applications, it is not the ideal option for large applications.
On that note, here is a list of the best alternative programming languages that you may learn to start your career with –
- HTML [Hypertext Markup Language]
- C and C# [C Sharp]
If you want a little more advanced and professional knowledge, try starting with –
- Java Script
- Golang
- Java
- Kotlin
- PHP
All these programming languages are ideal for you if you are a beginner and planning to start a career based on programming languages. Although tools like Java, and C# are very old, we cannot undermine their role even in today’s world. A lot of professional assignments, like 2D and 3D designing. These concepts are widely used for
- Game development
- Game designing
- Interior Designing
- Web development
- Making of Desktop and Mobile applications
- Virtual Reality and many more.
Not only that having knowledge of multiple programming tools always acts as a big plus for your career.
Summing up:
These seven points aptly describe how Python coding, although having many real-life implications, is not the ideal option for a student starting his career. An IT student may not have the maturity and patience to use something as advanced as Python. So, they may make unnecessary errors and will not learn the nuances of advanced coding. So, although they may have the initial pedigree of a Python user on the CV, in the long run, they may struggle. So, always try to start your career with simpler options like Java, PHP, or HTML and then work your way up.
Author Bio:
Jacob Steiner worked as a professor of Programming language in a reputed university for more than two decades. Post his retirement, he decided to join MyAssignmenthelp.com to offer essay help to university students. He also loves to play his flute in his free time.
