Golang vs Python: 6 Questions to Decide Which Programming Language is Best For You

These two coding languages duke it out — but who’s the winner?

In a world where the ability to write any code at all is a tremendous advantage, often the biggest problem coders face is knowing which language to start learning, rather than whether to learn one at all. There are different languages for just about every purpose you could think of. Of those popular coding languages, programmers often face an intense battle of Golang vs Python. (The official name is Go, but the website is Golang.org, so programmers typically refer to it as either interchangeably.)

On the surface, the two are remarkably dissimilar: Python was created in 1991, an oldster in coding years, while Go was first published in 2012 by Google, making it a relative newcomer. Go is known for its speed, while Python is known to be a slower language. Python is versatile, while Go is stricter in syntax and formatting.

However, they’re both held up as answers to a lot of typical coding questions: which is the best language to learn as a beginner? Which language is best to gain a computer programming job? Which coding language is best? Each has its adherents who claim their language is the best no matter what.

The truth, like just about every article I write about how to  learn computer science online, is that it’s complicated. The answer to whether you should  learn Go vs Python depends on if you’re a beginner, what job you want, what your history with computer science is, and what your goal is.

Table of Contents

· Table of Contents
· Let’s start with a brief historical definition of Golang vs Python
· Golang vs Python: Which coding language is best for beginners?
· Golang vs Python: Which coding language is best for experienced coders?
· Golang vs Python: Which language is best for a job in computer science?
· Golang vs Python: Which language is best for machine learning?
· Golang versus Python: Which language is best for programmer productivity?
· Golang vs Python: Which language is best for the future?
· What’s the best language when deciding Golang vs Python?

Let’s start with a brief historical definition of Golang vs Python

Python slithered onto the coding scene in 1991, written by Guido van Rossum who wanted a successor for a programming language I’ve never even heard of, called ABC programming. Its hallmarks are readability, versatility, and scalability. It’s a beast of a language with tremendous libraries, a fervent community of supporters (called pythonistas), and three versions that are patchily compatible.

Go, meanwhile, arrived in 2012 much like Athena — sprung fully formed from the foreheads of its fathers: Robert Griesemer, Rob Pike, and Ken Thompson, all of whom worked together to release it in 2009. It was a built-for-purpose language, created to address a lot of the problems Google was facing in its code at the time, and also out of spite as the creators all disliked C++. Its supporters (Gophers) love it for taking the best of languages like C and Javascript while avoiding their pitfalls.

This background is useful to keep in your head when you begin to think about Golang vs Python, and which language you want for what task (or which coding nickname you’d prefer to be called). Both have pros and cons, but depending on your end desire, there’s a sure answer for you between Golang vs Python.

#python #coding #go #golang

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Automating WhatsApp Web with Alright and Python

Alright is a python wrapper that helps you automate WhatsApp web using python, giving you the capability to send messages, images, video, and files to both saved and unsaved contacts without having to rescan the QR code every time.

Why Alright?

I was looking for a way to control and automate WhatsApp web with Python; I came across some very nice libraries and wrappers implementations, including:

1. pywhatkit
2. pywhatsapp
3. PyWhatsapp
4. WebWhatsapp-Wrapper

So I tried

pywhatkit, a well crafted to be used, but its implementations require you to open a new browser tab and scan QR code every time you send a message, no matter if it’s the same person, which was a deal-breaker for using it.

I then tried

pywhatsapp,which is based onyowsupand require you to do some registration withyowsupbefore using it of which after a bit of googling, I got scared of having my number blocked. So I went for the next option.

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PyWhatsapp by shauryauppal, which was more of a CLI tool than a wrapper, surprisingly worked. Its approach allows you to dynamically send WhatsApp messages to unsaved contacts without rescanning QR-code every time.

So what I did is refactoring the implementation of that tool to be more of a wrapper to easily allow people to run different scripts on top of it. Instead of just using it as a tool, I then thought of sharing the codebase with people who might struggle to do this as I did.

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Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

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Golang vs Python: 6 Questions to Decide Which Programming Language is Best For You

These two coding languages duke it out — but who’s the winner?

In a world where the ability to write any code at all is a tremendous advantage, often the biggest problem coders face is knowing which language to start learning, rather than whether to learn one at all. There are different languages for just about every purpose you could think of. Of those popular coding languages, programmers often face an intense battle of Golang vs Python. (The official name is Go, but the website is Golang.org, so programmers typically refer to it as either interchangeably.)

On the surface, the two are remarkably dissimilar: Python was created in 1991, an oldster in coding years, while Go was first published in 2012 by Google, making it a relative newcomer. Go is known for its speed, while Python is known to be a slower language. Python is versatile, while Go is stricter in syntax and formatting.

However, they’re both held up as answers to a lot of typical coding questions: which is the best language to learn as a beginner? Which language is best to gain a computer programming job? Which coding language is best? Each has its adherents who claim their language is the best no matter what.

The truth, like just about every article I write about how to  learn computer science online, is that it’s complicated. The answer to whether you should  learn Go vs Python depends on if you’re a beginner, what job you want, what your history with computer science is, and what your goal is.

Table of Contents

· Table of Contents
· Let’s start with a brief historical definition of Golang vs Python
· Golang vs Python: Which coding language is best for beginners?
· Golang vs Python: Which coding language is best for experienced coders?
· Golang vs Python: Which language is best for a job in computer science?
· Golang vs Python: Which language is best for machine learning?
· Golang versus Python: Which language is best for programmer productivity?
· Golang vs Python: Which language is best for the future?
· What’s the best language when deciding Golang vs Python?

Let’s start with a brief historical definition of Golang vs Python

Python slithered onto the coding scene in 1991, written by Guido van Rossum who wanted a successor for a programming language I’ve never even heard of, called ABC programming. Its hallmarks are readability, versatility, and scalability. It’s a beast of a language with tremendous libraries, a fervent community of supporters (called pythonistas), and three versions that are patchily compatible.

Go, meanwhile, arrived in 2012 much like Athena — sprung fully formed from the foreheads of its fathers: Robert Griesemer, Rob Pike, and Ken Thompson, all of whom worked together to release it in 2009. It was a built-for-purpose language, created to address a lot of the problems Google was facing in its code at the time, and also out of spite as the creators all disliked C++. Its supporters (Gophers) love it for taking the best of languages like C and Javascript while avoiding their pitfalls.

This background is useful to keep in your head when you begin to think about Golang vs Python, and which language you want for what task (or which coding nickname you’d prefer to be called). Both have pros and cons, but depending on your end desire, there’s a sure answer for you between Golang vs Python.

#python #coding #go #golang