Golang Vs Python- Which One Is Better In 2021?

Web development industry has been in the focus since the introduction of internet, and this would remain in the trend for a long time. But the technologies that are being used in web development are continually changing. There are lots of programming languages available for software development. Golang and Python are two advanced web languages and most developers are still confused about which to choose. So here we’ll compare Golang vs Python on the basis of various parameters. But before digging to it, lets have a quick review of Golang and Python.

What Is Golang?

Go is a statically typed compiled language, originated from C family. It is designed to overcome some complexity like memory leaks and speed performance. Till now java is the only considered language after Go that plays head-to-head with Java in speed performance. Go has a lot of use cases, and on top of that are data science projects. Using Go, data scraping process turned out far easier and speedy.

What Is Python?

Python is an advanced language that caters to a wide range of development. It is a structured programming language which is interpreted and object-oriented. Python helps to design web apps, software, desktop GUIs, business applications, ERP and eCommerce systems and so on. Also it is used in AI and Machine learning. This advanced high level language offers a wide range of frameworks for web development, and its library supports a wide variety of internet protocols. Hence, it is worth learning Python.

Know the latest features of Python at- Must Know Features Of Python 3.10

Golang Vs Python-

1. Beginner-Friendly-

Golang-

Go has easy to ready syntaxes and small learning curve. Main reason for that is a beginner might feel some kind of limits while applying Go code, however if it is for leaning data science, network programming, machine learning, or something IT related projects.

Python-

Python is a beginner-friendly language all over the world because its syntaxes are closer to English which increases its readability. Beginners choose python, because it has lots of working applications. You can easily find anything that you want, and you can build simple to complex mobile and desktop games with python code. 

2. Performance-

While comparing python and golang on the basis of performance, then it will better to compare by performing mathematical operations. Hence here we’ll perform binary search, bubble sort and a read file actions.

Binary Search-

Creating a lists of ints (from 1 to 100000) and then using binary search to find always the same number 629. The results are:

Language	Speed
Go	20.8 ns/op
Python	2442.13377 ns/op

Bubble Sort-

Generating a list of integers and sorting them using bubble sort algorithms, the required resulting time is-

Language	Speed
Go	90805247 ns/op (0,09s)
Python	6708160950.6 ns/op (6,7s)

Read From File-

A test of reading “lorem ipsum” text file.

Language	Speed
Go	5305 ns/op
Python	58359 ns/op

3. Faster For Web Development-

Everyone loves to finish their job early. Python is a feature-rich language and is not very very slow to develop websites but Golang comes across to be faster than Python. 

Golang is decent language to write server-side scripts for high performance. It offers rapid development cycles and so is a master of speed and performance. It also has better support for concurrent. Python needs more top resources use for concurrency process, whereas, golang is better at saving resources and memory by using isolated goroutines.

Golang is good for backend development, it can manage a huge number of requests with high concurrency. It also has quick startup time and is more lightweight than Python. Overall, golang is designed for those who want to rapidly build websites.

You can also know, how to speed up the python code at- How To Speed Up The Python Code?

4. Bug Handling-

Python has dynamically typed language while go is statically typed and compiled. Many programmers love Golang for the way it handles errors. It could handle errors at the compile-time, that makes it programmer-friendly.

5. Concurrency Support-

Python does not have built-in concurrency, while Golang has concurrency support. This is advantage of using Golang for efficient development.

Know more at- https://solaceinfotech.com/blog/golang-vs-python-which-one-is-better-in-2021/

Golang Vs Python For AI Development

 

These days, AI programming has gone far beyond pure software or hardware development firms. Ecommerce companies, real estate, healthcare and so on are already started adopting AI. AI applications help to improve user experience, customer interaction, healthcare accessibility, Financial planning, purchase experience and so on. With the use of machine learning, logical reasoning and self correction, it is possible to mimic human intelligence and human knowledge. Neural networks create high-level abstractions for many industries and disciplines. Ai 

Python and Golang are the most popular programming languages for AI. Choosing the best one between two is a critical task so here we came with a detailed guide- golang vs python for AI development. Before digging to the comparison, let us see overview of each language.

What Is Golang?

Go is an open-source programming language developed by Google. It is a statically typed compiled language that supports concurrent programming and allows running multiple processes simultaneously. Go has garbage collection that itself does the memory management and allows the deferred execution of functions.

Also it delivers great performance with lightning speed and Go Web Framework is one of its kind. It has built lots of robust web apps and mobile apps.

Features Of Golang-

• Golang is an open source language created at Google 
• It is a compiled language including great libraries, concurrency support.
• Also it includes garbage collection called goLand
• Code is Golang is easy and readable
• Easy concurrency support via goroutines
• Package management
• Static typing
• Features powerful standard library

What Is Python?

Python is a popular and potential programming language that is used by developers to build robust server-side development. It has built-in data structures, combined with dynamic binding and typing, which makes it an ideal choice for rapid application development. It can be used for cognitive technologies like machine learning, artificial intelligence and so on. Because of the versatility and easy learning, Python has retained its first position in IEEE spectrum. It includes various libraries that supports a particular niche like mobile apps, desktop apps, cognitive technologies etc.

Features Of Python-

• Python language is easy to learn, and read
• It has an ability to run various hardware platforms and using same interface.
• This language offers an ideal structure and support for large programs, and automatic garbage collection.
• It supports interactive mode of testing and debugging, and also offers a high level dynamic data types and dynamic type checking
• Python language can be integrated with Java, C and C++ programming code
• It has a simple and minimal syntax, offers high performance and fast compilation times
• You can include low-level modules to the Python interpreter.

Golang Vs Python For AI Development-

Advantages Of Golang For AI Programming-

1. Superior Error Handling And Easier Debugging-

As the name suggests AI must mimic human intelligence. In its result, input and output must be simultaneous because of which error handling must be quick. Downtime due to debugging cannot take long. Golang has a variety of good machine learning, reinforcement learning and deep learning libraries focussed on all parts of pipeline. Some of them are for natural language processing, tensor operations and even a GPU accelerated deep learning stack. The resultant app are refined and functionality rich.

2. Speed And Accuracy-

Concurrency model and simple syntax helped to improve the speed of language. It allows to manage number of concurrent requests simultaneously. With accuracy that tops the list Golang source code is also fast, thread ready, easy, clean, compiled and simple. Also, it has a huge number of support of libraries for Natural language processing, machine learning, data analysis, extraction, processing and visualization. This makes it appropriate to develop comprehensive real world AI applications.

3. Good At Scale And Computations-

Golang scales and performs well within large-scale projects. Speed is one more reason to use Golang for AI programming, particularly for math computations. Golang is 20 to 50 times faster than Python in case of complex math problems.

Know the best practices for golang at- Top 11 Golang Best Practices For 2020.

4. Minimalism And Good Code Readability-

Most of the algorithms stick to a minimalist approach, this enables developers to write a readable code after algorithm implementation. But minimalistic approach can be a weak point too, in case of where there’s a need for recursive algorithms, that can run slower because of the absence of tail-call optimization.

Golang’s Downsides For AI Programming-

1. Need For Deep AI Expertise-

Some of the Golang advantages for web development can play against it about AI programming. For example, default multithreading works good for Golang web development. But using multithreading for AI purpose needs skilled Go developers with deep expertise in data science.

2. Golang Toolkit Extension In Progress-

Go has its libraries for AI and it can cover the most necessary purposes, but the toolkit is not that much extensive. Inshort, it’s in the process of extension with Golang community itself. So far, Golang developers have performed about 285K pull requests globally. 

Advantages Of Python For AI Programming-

1. Extensive Set Of Libraries-

Libraries of Python helps developers to build new algorithms, do model prediction, and datasets processing, work with complex data and so on. Tensorflow is a popular open source library used for many Google’s machine learning applications. 

2. Strong Community-

Community and ecosystem around Python are vibrant and active. According to GitHub’s annual statistics, Global community send more than 1 million of pull requests. There is a huge community support for creating new libraries, updating documentation and extending toolset.

3. Python As A Language Is Accessible-

Python is an accessible programming language. For businesses, accessibility means vast market of Python experts. Apart from all this, Python is widespread. It’s been ranked by IEEE as a top programming language.

Also know the details of use of Python in finance, analytics and artificial intelligence at- Using Python in Finance, Analytics and Artificial Intelligence.

Know the amazing new features of Python 3.10 at- Must Know Features Of Python 3.10.

Python’s Downsides For AI Programming-

1. Not Good For Large Scale Engineering-

Python is losing to scalability for projects that involve a few hundred programmers.  If you need a very ordered and disciplined way to do programming, then it will be challenging with Python. It is also challenging while deploying AI systems.

2. Lack Of Performance And Multicore Processing-

Performance is also a challenge, specially CPU nad GPU processing. Something that works for specific use cases often can not be applied for most common uses

3. Codebase May Be Difficult To Maintain-

From developers point of view, Python is not easy to maintain. Python lacks several language features like static type system.  It’s syntax goes against assumptions that other languages make. Also libraries of different versions often conflict with each other. And it can cause problems with cluster configuring or leads to general stop of working code.

Which One To Choose?

As mentioned above, python is readable and offers you various ways to say the same thing again and again that often leads to creating confusion. Whereas, Go follows strict rules in terms of programming. It does not allow unwanted libraries to simply get imported neither allows the creation of unnecessary variables.