Rodney Vg

Rodney Vg


Advantages and Disadvantages of the Python Programming

Python’s been gaining popularity year over the year for the past few years. In a 2019 Stack Overflow survey, Python was named the second-most beloved language of developers.

Python’s often cited as being multipurpose and easy to be productive in. Its domination in machine learning and data science is well-known.

In recent years, Python’s web-development frameworks — such as Django and Flask — are gaining popularity. For many developers, Python’s living up to its hype as it’s selected for more of a variety of projects in various organizations. For new developers, Python is increasingly becoming the first language to learn to enter the job market.

But for all of its hype, developers who’ve worked with Python for some time have noticed some limitations.

This article is a summary of some of the observations about Python from the development community without injecting my own experiences. Popular discussion threads in Quora, Stack Overflow, and various blog posts are the references for this article. For a complete list of references, see the end.

Advantages of Python

There are many advantages of Python. I’ve only listed the top few.

Python is multipurpose

You’ll find Python being used for front end, back end, data science, machine learning, web development, and mobile-app development. It’s one of the most multipurpose languages around. The fact it can be used for so many programming paradigms, from object-oriented to functional, makes it very versatile.

Python’s also often named as a great scripting language for people who don’t develop software but need to use scripts to retrieve information.

Python is used by many in education to teach programming basics

Python is increasingly used at the university level to teach programming basics to students.

This is mainly due to its ease of use and ease of learning. There’s a lower barrier to entry for new programmers to learn Python. This has also allowed many self-taught developers to transition into development roles.

Python has a huge, supportive community

One of the most cited advantages of Python is its inclusive community of programmers.

At the entry level, you can often find answers to your questions very easily in Python developer forums. There are various expert blogs online that are dedicated to spreading knowledge about Python — not only to learn it but to master it.

Python’s also open source, which allows it to continuously improve with the help of long-time community members.

Python’s dominance in data science and machine learning

With the integration of data science and machine learning into today’s systems, Python’s robust, mature libraries — such as scikit-learn, keras, pandas, etc. — are unmatched. These libraries allow engineers who work with data to be productive much more quickly.

Python’s a language of choice for prototyping

The simplicity of the Python language makes it a perfect choice to use for prototyping.

Often, when the prototyping is done with a lot of productivity and little effort, it’s then easier to select Python for developing the actual product.

Python code is simple, readable, and can be more maintainable

Python’s easy-to-use explicit syntax allows code to be more readable.

If used correctly, codebases for Python can be more maintainable than those done in other languages.

Python’s ability to integrate into other enterprise applications

Python’s extensible. You can write part of your project in Python and part of it in C++ or C. This is why many use it to plug into enterprise applications. You can also embed Python into the code of other programming languages.

Python’s matured

In the last few years, Python has matured into a language that’s chosen for large projects by Google, Yahoo, YoutTube, Dropbox, etc. — not to mention by nontechnology companies in finance, healthcare, education, etc.

Disadvantages of Python

Python has several disadvantages that developers often cite.

Python’s memory consumption and garbage collection

Python’s memory usage is high. Memory consumption has to be carefully tracked throughout a project. It’s often essential to follow best coding practices to sidestep potential memory issues.

Python uses reference counting in its garbage collection, which can be misunderstood.

Python’s dynamically typed

Many in data science and machine learning prefer statically typed languages.

Type error is the one thing you don’t want to be worried about when working with a lot of data. Using a statically typed language can potentially reduce a lot of bugs in the system.

Multithreading in Python is not really multithreading

Due to the global interpreter lock (GIL), Python’s multithreading model doesn’t truly have threads running at the same time. One thread can only hold the GIL at one time, which means you’re not achieving true multithreading.

Many use a different implementation of Python — such as IronPython, Jython, PyPy, or a C extension — to achieve true multithreading.

Python in functional programming

Python’s functional programming can be difficult to read, which defeats the purpose of using a language like Python that’s known to be simple and easy to read. Functional optimisations aren’t supported by the compiler. It also lacks some features of functional programming that need to be implemented manually.


With many obvious advantages over disadvantages, we’ll likely see Python grow further in the years to come.

Where will the usage of Python be headed is anyone’s guess.

Data science and machine learning are where Python has the potential to dominate. But in these areas, where large amounts of data will need to be processed often using functional programming, the disadvantages of using Python, such as speed, dynamic typing, multithreading, memory consumption, etc., will become more prominent.

Are you a Python programmer? If so, what are your thoughts?

#python #programming

What is GEEK

Buddha Community

Advantages and Disadvantages of the Python Programming
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

August  Larson

August Larson


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.

I then went for WebWhatsapp-Wrapper. It has some good documentation and recent commits so I had hoped it is going to work. But It didn’t for me, and after having a couple of errors, I abandoned it to look for the next alternative.

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.

#python #python-programming #python-tutorials #python-programming-lists #selenium #python-dev-tips #python-developers #programming #web-monetization

Biju Augustian

Biju Augustian


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.

The course is begin continuously developing by adding lectures regularly.

Please see the Promo and free sample video to get to know more.

Hope you will enjoy it.

Basic knowledge
An Enthusiast Mind
A Computer
Basic Knowledge To Use Computer
Internet Connection
What will you learn
Will Be Expert On Python Programming Language
Build Application On Python Programming Language

#uide to Python #Guide to Python Programming #Guide to Python Programming Language #Python Programming #Python Programming Language

Python Tips and Tricks for Competitive Programming

Python Programming language makes everything easier and straightforward. Effective use of its built-in libraries can save a lot of time and help with faster submissions while doing Competitive Programming. Below are few such useful tricks that every Pythonist should have at their fingertips:

  • **Converting a number into a List of digits using map() Function: **

Below is the implementation to convert a given number into a list of digits:

#competitive programming #python programs #python-itertools #python-library #python-list #python-list-of-lists #python-map