Python is one of the most widely used programming languages, and it has been around for more than 28 years now. One common question arises in mind of most people, especially beginners and newbies, that why Python is popular in mainstream despite being slow?
or why programmers or developers don’t care about speed and performance limitations in Python? In this post, I will go through some main reasons for this.Why is Python Slow in Terms of Speed?
Before diving into details of why Python is popular in mainstream despite being slow, I will shortly explain how or why Python is slow in nature in terms of performance and speed as compared to other popular programming languages like C and C++.
I would say that 9/10 times the slower performance of Python does not matter. Below I will discuss some major aspects and reasons.
End-users just don’t care
9/10 times the slower performance of Python does not matter.
Can you really feel the difference between 0.001 seconds or 0.01 seconds? The answer is most likely “No”. Normally, it doesn’t matter too much to the end-users if your program takes just a little bit longer for its execution. As long as we don’t write a program which executes in centuries and totally destroys end-user experience, it’s fine. In case it takes too long, horizontal scaling can be used to solve many bottlenecks that would have been created by Python and make the execution faster.More Productive
First and foremost reason why Python is much popular because it is highly productive as compared to other programming languages like C++ and Java. It is much more concise and expressive language and requires less time, effort, and lines of code to perform the same operations.
The Python features like one-liners and dynamic type system allow developers to write very fewer lines of code for tasks that require more lines of code in other languages. This makes Python very easy-to-learn programming language even for beginners and newbies. For instance, Python programs are slower than Java, but they also take very less time to develop, as Python codes are 3 to 5 times shorter than Java codes.
Python is also very famous for its simple programming syntax, code readability and English-like commands that make coding in Python lot easier and efficient.Execution Speed does not matter as much as Business Speed
There were times when computer run time was to be the main issue and the most expensive resource. But now, things have changed. Computer, servers and other hardware have become much much cheaper than ever and speed has become a less important factor. Today, development time matters more in most cases rather than execution speed in terms of cost as employee’s time has become one of the most, or even the most, expensive resource. Reducing the time needed for each project saves companies tons of money.
As far as the execution speed or performance of the program is concerned, we can easily manage it by horizontal scaling, means getting more servers running to get that level of speed or performance. In this modern era, where we have the very high computing power and multi-core processors that are becoming cheaper by the time, the speed and performance issues can easily be resolved. But it is not the same story for human cost. It will just keep increasing and increasing over time.
In short, the amount of time you can save in the development process will possibly be more and cost-effective than whatever performance and execution speed in the application you get.
Not only does the shorter development process save money, but also improves it your competitiveness. Faster prototype and deliver enable companies to innovate and get ahead of the competition.
As a CEO, which option will you choose? (1) complete a project in 6 months (2) complete exactly the same project in 4 months but you have to pay 20% more for the server. If execution speed is your most concern, then (1) is your choice. But if you focus on development speed and faster innovation, (2) should be your choice.
That’s where Python gains its popularity as the time required to build a program using Python very short as compared to other programming languages.Is Speed the only factor you should consider?
When choosing any programming language to develop any type of application, there are several tens or hundreds of factors that you should consider, and speed is surely one of them. But, there are other things that also matter like language suitability.
Python has been in the market for a very long time and its community is very big. Thus, it is easy to find Python developers and supports.
In addition, the language has a rich set of standard libraries and frameworks for several purposes. For example, Django and Flask for developing web applications, TensorFlow for deep learning, and pandas for data analysis, etc.Is Python Good for Speed-Intensive Applications?
So far we have discussed why Python is slow in terms of speed and why Python is popular in mainstream despite being slow. But, what if you strictly require high-performance and fast execution speed in certain applications? In this case, I would say that Python is no good. Sure, you can optimize it but in general, other programming languages should be used. For example, for game development, C# would be a better option.
In short, Python is widely used even when it is somehow slower than other languages because:
But, it is also not suitable for speed-intensive applications including games that require high-performance and also OS or system-level applications.
Python GUI Programming Projects using Tkinter and Python 3
Learn Hands-On Python Programming By Creating Projects, GUIs and Graphics
Python is a dynamic modern object -oriented programming language
It is easy to learn and can be used to do a lot of things both big and small
Python is what is referred to as a high level language
Python is used in the industry for things like embedded software, web development, desktop applications, and even mobile apps!
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If you want to learn to code, Python GUIs are the best way to start!
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The Python coding language integrates well with other platforms – and runs on virtually all modern devices. If you’re new to coding, you can easily learn the basics in this fast and powerful coding environment. If you have experience with other computer languages, you’ll find Python simple and straightforward. This OSI-approved open-source language allows free use and distribution – even commercial distribution.
When and how do I start a career as a Python programmer?
In an independent third party survey, it has been revealed that the Python programming language is currently the most popular language for data scientists worldwide. This claim is substantiated by the Institute of Electrical and Electronic Engineers, which tracks programming languages by popularity. According to them, Python is the second most popular programming language this year for development on the web after Java.
Python Job Profiles
The median total pay for Python jobs in California, United States is $74,410, for a professional with one year of experience
Below are graphs depicting average Python salary by city
The first chart depicts average salary for a Python professional with one year of experience and the second chart depicts the average salaries by years of experience
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Who is the target audience?
Anyone who wants to learn to code
For Complete Programming Beginners
For People New to Python
This course was designed for students with little to no programming experience
People interested in building Projects
Anyone looking to start with Python GUI development
Access to a computer
Download Python (FREE)
Should have an interest in programming
Interest in learning Python programming
Install Python 3.6 on your computer
What will you learn
Build Python Graphical User Interfaces(GUI) with Tkinter
Be able to use the in-built Python modules for their own projects
Use programming fundamentals to build a calculator
Use advanced Python concepts to code
Build Your GUI in Python programming
Use programming fundamentals to build a Project
Signup Login & Registration Programs
Job Interview Preparation Questions
& Much More
Guide to Python Programming Language
The course will lead you from beginning level to advance in Python Programming Language. You do not need any prior knowledge on Python or any programming language or even programming to join the course and become an expert on the topic.
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An Enthusiast Mind
Basic Knowledge To Use Computer
What will you learn
Will Be Expert On Python Programming Language
Build Application On Python Programming Language
Python Programming Tutorials For Beginners
Hello and welcome to brand new series of wiredwiki. In this series i will teach you guys all you need to know about python. This series is designed for beginners but that doesn't means that i will not talk about the advanced stuff as well.
As you may all know by now that my approach of teaching is very simple and straightforward.In this series i will be talking about the all the things you need to know to jump start you python programming skills. This series is designed for noobs who are totally new to programming, so if you don't know any thing about
programming than this is the way to go guys Here is the links to all the videos that i will upload in this whole series.
In this video i will talk about all the basic introduction you need to know about python, which python version to choose, how to install python, how to get around with the interface, how to code your first program. Than we will talk about operators, expressions, numbers, strings, boo leans, lists, dictionaries, tuples and than inputs in python. With
Lots of exercises and more fun stuff, let's get started.
Download free Exercise files.
Who is the target audience?
First time Python programmers
Students and Teachers
IT pros who want to learn to code
Aspiring data scientists who want to add Python to their tool arsenal
Students should be comfortable working in the PC or Mac operating system
What will you learn
know basic programming concept and skill
build 6 text-based application using python
be able to learn other programming languages
be able to build sophisticated system using python in the future