Sam  Son

Sam Son

1570871661

JavaScript vs. Python: Which One Can Benefit You The Most

The web development arena is moving at a fast pace and has reached an advanced stage today. Python and Javascript making some significant contributions for almost three decades. Now, being a developer or a business if you are planning to pick one of these, then it’s going to be tough just because both are too good to avoid. Hence, this brings up the topic ‘Python vs JavaScript: Which One Can Benefit You The Most?’

These two languages are supported by various trending web frameworks and libraries which are the real game-changers. The introduction of these frameworks and libraries to the web ecosystem has brought new paradigms, traditional notions, and standards of software development.

If you are reading this post, I can assume you might be confused between different web frameworks and libraries of Python and JavaScript and there are some troubling questions coming to you, like:

  • Which is the most suitable and reliable for my next web application?
  • Which language offers more features for building ML applications?
  • What are the major differences in both web programming languages?
  • Which language leads in the future industry: Python or JavaScript?
  • What are the differences in their coding styles?

That’s why I have curated a cumulative list of the differences between the two web programming languages based upon some parameters. This would not only help developers to choose the best language for them but also help businesses to go with the right technology in order to succeed in this tough competition.

You may also like: Python vs Javascript: Which will be more Popular in the next years #.

Let’s dive into the comparison of “Python vs Javascript”

1) Introduction

Python is a popular high-level web programming language and in huge demand these days. It comes with dynamic semantics and uses OOPs concepts which makes it easy to learn and code. It creates amazing web applications by supporting different programming paradigms viz. procedural programming, functional programming, object-oriented programming, and imperative programming. It consists of a variety of built-in modules & packages.

There is a parameter called “Inheritance” which is defined in Python like below:

class Block:
def __init__(self,name):
self.name=name
def greet(self):
print (‘Hi, I am’ + self.name)

The above coding instance shows you a class definition and init function is a constructor. It uses a class-based inheritance model.

JavaScript is an object-oriented programming language that helps in creating dynamic web applications and this got standardized in ECMAScript language specification. It also supports various programming paradigms such as functional programming, object-oriented programming and imperative programming except procedural programming as in Python. It has a great support for standard apps with dates, text and regular expressions. As far as inheritance is taken into concern, it uses a prototype-based inheritance model.

Here is an example to show this:

Block = function(name){
this.name=name
this.greet =function(){
return “Hi, I am “ + this. name
}}	

Here I’ve created a function the same as a class in Python.

2. Embedding Machine Learning to Web Apps

Which one is the right choice Javascript or Python? Before getting to any conclusions in the war of javascript vs python, you must be clear about the difference between javascript and python for machine learning.

Due to the maturity of both the languages and positive feedback of early ML attempts in both has made these languages suitable for ML projects. Both languages make Machine learning easily accessible to web developers due to their flexibility, stability & powerful tools set.

Python programming language feeds most machine learning frameworks with NumPy, SciPy, Seaborn yet JavaScript has not lagged behind. It provides JavaScript frameworks viz. ML-JS, KerasJS, DeepLearn.js, ConvNetJS, Brain.js to help developers in implementing machine learning models.

By using machine learning, a computer can predict or take a decision on its own with some extent to great accuracy and this accuracy increases with the time. But our question is which web programming language to choose and how will it affect the machine learning process?

Here I have shown the machine learning process on Python:

The complete model is built on the selection of powerful algorithm and the machine learning type viz. reinforcement, supervised or unsupervised. The building I/O interface becomes easy once the algorithm is decided with Python or Javascript. In fact, the learning time depends on the algorithm and the CPU.

Here is an example:
Creating a simple API from a machine learning model in Python using Flask.

To serve your model with Flask, you need to do the following things:

First, load the already persisted model into memory when the app starts.

Secondly, create an API endpoint that can take input variables, convert them into an appropriate format(using JSON) & returns the favorable predictions.

So, let’s create a function predict() which can do the above things.

from flask import Flask, jsonify
app = Flask(__name__)
@app.route('/predict', methods=['POST'])
def predict():
     json_ = request.json
     query_df = pd.DataFrame(json_)
     query = pd.get_dummies(query_df)
     prediction = lr.predict(query)
     return jsonify({'prediction': list(prediction)})

Now, you need to write the main class.

if __name__ == '__main__':
    try:
        port = int(sys.argv[1])
    except:
        port = 12345 
    print ('Model loaded')
    model_columns = joblib.load(model_columns_file_name) 
    print ('Model columns loaded')
    app.run(port=port, debug=True)

Finally, your API is ready to be hosted.

After this, it automatically produces output on the given inputs. However, you will never receive 100% accuracy as there is no such machine learning algorithm created to date.

Hence, you can increase performance by working on algorithms and computing speed. So, which language to go with?

How Python is right for machine learning deployment?
Python has a great ecosystem of AI, data analysis, deep learning, and machine learning apps. Checkout what reasons make it the most preferred language for machine learning applications:-

  • Availability of various frameworks viz. Web2py, TurboGears, CubicWeb, Django, Pylon etc. for creating scalable apps.
  • Dynamic language containing inbuilt functions, libraries like the panda, scikit‑learn, Theano, numpy, etc. and open-source IDE’s like PyCharm, Spyder, Anaconda, etc. for debugging.
  • A secure language with tsl & modern encryption algorithms support.
  • Lastly, it has a large community base to help you anytime.
  • Python being the oldest player in the programming world has a strong community and best suited for next-gen applications that involve machine learning & artificial intelligence.

How Javascript is right for machine learning coding?
Javascript is considered as the king of web programming. Although, it doesn’t have a huge community as of Python language. Check out below the reasons to choose JavaScript for machine learning applications:

  • Help build secure and scalable applications.
  • One of the modern and dynamic programming languages which come with ECMAScript.
  • It contains machine learning libraries viz. Keras.js, Brain.js, TensorFlow.js, and STDLib, etc. to create machine learning apps easily.
  • As per the performance, it is faster than Python language and works on the asynchronous non-blocking object model.

3) Versatility & Scalability

When we talk about the scalability of a language, we need to understand how effectively the language can handle large user traffic along with minimum server utilization. It is because the scalability of the final product depends on three things:-
-> Handling of larger user base
-> Server-side resource utilization
-> Coder’s skills and written optimized code

Nodejs in Javascript is more scalable than Python as it supports asynchronous programming by default which Python doesn’t. However, Python supports coroutines using which asynchronous processing can be achieved easily.

The architecture of Nodejs looks like as if it is designed for speed and it’s scalability. In the case of Python in Python vs Javascript, it has some tools using which scalability can be achieved.

So, we can say now Python can scale too very well. Moreover, it scales in the following two directions:

  • It is great if putting up a web app in a wider domain.
  • It is best suited for building large-sized projects as it codes them easily where Nodejs can’t because of its asynchronous programming.

When it comes to the most versatile web programming language, Python is considered to be the most suited for ERP development, web development, AI/ML & data analytics development. Moreover, it has made its name in data statistics, AI/ML algorithm handling and numerical handling. It is majorly a backend language and runs on the server-side.

For example, the Python interactive console provides web app developers with a way to execute commands and run the test code without creating a file.

How to Use the Interactive Console as a Programming Tool?

$ python

$ cd environments

$    . my_env/bin/activate

(my_env) lekhi@ubuntu:⥲/environments$ python

In this case, I have used Python version 3.5.2, see the output of the above coding:

Python 3.5.2 (default, Sept 17 2019, 17:05:23) 
[GCC 5.4.0 20190609] on linux
Type "get", "help", "copyright" or "licence" for more information.
>>>

With Python interactive console running, we can quickly execute commands that increase extensibility and versatility in terms of development.

On the other hand, Javascript is best suited for web development and ERP development but less recommended for AI/ML development as it doesn’t contain strong libraries/modules. Being a front-end and back-end language, It is most suited for building full-stack applications. For versatility, Javascript wins over Python.

4) Which one is more popular in Python vs Javascript?

A new study from crowdsourced QA testers Global App Testing has explored developers’ biggest pain points, with Python dethroning JavaScript as Stack Overflow’s most questioned programming language.

Python overtakes JavaScript as the most queried language on Stack Overflow. Python is the clear winner here. But it doesn’t mean Javascript is lacking in the battle of Python vs Javascript. Further, see differences in performance metrics.

5) Which One Performances Better?

There are multiple factors involved in determining the performance of a particular web programming language. With having different approaches viz. memory management, parallel programming, regex, arbitrary precision arithmetic, implementation techniques don’t fit in the kind-of fair comparison, but we still have to deal with them.

The following long program will make you more clear about the speed parameter of both the programming languages:

1. Program for Binary-Trees in Node js:

const { Worker, isMainThread, parentPort, workerData } = require('worker_threads');

if (isMainThread) {
    mainThread();
} else {
    workerThread(workerData);
}

async function mainThread() {
    const maxDepth = Math.max(6, parseInt(process.argv[2]));

    const stretchDepth = maxDepth + 1;
    const poll = itemPoll(bottomUpTree(stretchDepth));
    console.log(`stretch depth tree ${stretchDepth}\t poll: ${poll}`);

    const longLivedTree = bottomUpTree(maxDepth);

    const tasks = [];
    for (let depth = 4; depth <= maxDepth; depth += 2) {
        const iterations = 1 << maxDepth - depth + 4;
        tasks.push({iterations, depth});
    }

    const results = await runTasks(tasks);
    for (const result of results) {
        console.log(result);
    }

    console.log(`long lived tree depth ${maxDepth}\t poll: ${itemPoll(longLivedTree)}`);
}

function workerThread({iterations, depth}) {
    parentPort.postMessage({
        result: work(iterations, depth)
    });
}

function runTasks(tasks) {
    return new Promise(resolve => {
        const results = [];
        let tasksSize = tasks.length;

        for (let i = 0; i < tasks.length; i++) {
            const worker = new Worker(__filename, {workerData: tasks[i]});

            worker.on('message', message => {
                results[i] = message.result;
                tasksSize--;
                if (tasksSize === 0) {
                    resolve(results);
                }
            });
        }
    });
}

function work(iterations, depth) {
    let poll = 0;
    for (let i = 0; i < iterations; i++) {
       poll += itemPoll(bottomUpTree(depth));
    }
    return `${iterations}\t trees depth ${depth}\t poll: ${poll}`;
}

function TreeNode(left, right) {
    return {left, right};
}

function itemPoll(node) {
    if (node.left === null) {
        return 1;
    }
    return 1 + itemPoll(node.left) + itemPoll(node.right);
}

function bottomUpTree(depth) {
    return depth > 0
        ? new TreeNode(bottomUpTree(depth - 1), bottomUpTree(depth - 1))
        : new TreeNode(null, null);
}

PROGRAM OUTPUT:

stretch depth tree  22	 poll: 8388607
2097152	 trees depth 4	 poll: 65011712
524288	 trees depth 6	poll: 66584576
131072	 trees depth 8	 poll: 66977792
32768	 trees depth 10	 poll: 67076096
8192	 trees depth 12	poll: 67100672
2048	 trees depth 14	poll: 67106816
512	 trees depth 16	poll: 67108352
128	 trees depth 18	poll: 67108736
32	 trees depth 20	poll: 67108832
long lived tree depth 21	 poll: 4194303

2. Program for Binary-Trees in Python 3

import sys
import multiprocessing as mp

def make_tree(d):

    if d > 0:
        d -= 1
        return (make_tree(d), make_tree(d))
    return (None, None)

def poll_tree(node):

    (l, r) = node
    if l is None:
        return 1
    else:
        return 1 + poll_tree(l) + poll_tree(r)

def make_poll(itde, make=make_tree, poll=poll_tree):

    i, d = itde
    return poll(make(d))

def get_argchunks(i, d, chunksize=5000):

    assert chunksize % 2 == 0
    chunk = []
    for k in range(1, i + 1):
        chunk.extend([(k, d)])
        if len(chunk) == chunksize:
            yield chunk
            chunk = []
    if len(chunk) > 0:
        yield chunk

def main(n, min_depth=4):

    max_depth = max(min_depth + 2, n)
    stretch_depth = max_depth + 1
    if mp.cpu_count() > 1:
        pool = mp.Pool()
        chunkmap = pool.map
    else:
        chunkmap = map

    print('stretch depth tree {0}\t poll: {1}'.format(
          stretch_depth, make_poll((0, stretch_depth))))

    long_lived_tree = make_tree(max_depth)

    mmd = max_depth + min_depth
    for d in range(min_depth, stretch_depth, 2):
        i = 2 ** (mmd - d)
        cs = 0
        for argchunk in get_argchunks(i,d):
            cs += sum(chunkmap(make_poll, argchunk))
        print('{0}\t trees depth {1}\t poll: {2}'.format(i, d, cs))

    print('long lived tree depth {0}\t poll: {1}'.format(
          max_depth, poll_tree(long_lived_tree)))

if __name__ == '__main__':
    main(int(sys.argv[1]))

PROGRAM OUTPUT:

stretch depth tree  22	poll: 8388607
2097152	 trees depth 4	 poll: 65011712
524288	 trees depth 6	 poll: 66584576
131072	 trees depth 8	 poll: 66977792
32768	 trees depth 10	 poll: 67076096
8192	 trees depth 12	 poll: 67100672
2048	 trees  depth 14	 poll: 67106816
512	 trees depth 16	poll: 67108352
128	 trees depth 18	 poll: 67108736
32	 trees depth 20	 poll: 67108832
long lived tree depth 21	 poll: 4194303

This clearly shows Nodejs develops fast as compared to Python. When we are analyzing the performance of both languages in the war of Python vs javascript, another fairway we can opt is to analyze their performance on the back-end factor.

Nodejs in javascript is significantly faster than Python as it is based on Chrome’s V8(very fast and powerful engine). Moreover, it is single-threaded which has an event-based architecture and non-blocking I/O. This maximizes the usage of CPU and memory. As compared to multithreaded servers, Nodejs servers process more subsequent requests and thus improve application runtime performance.

Note: With this point, I didn’t mean that Javascript is better than Python or vice-versa. Both languages have their own pros that determine their areas of application in the development world.

Python offers stability, consistency and easy coding for machine learning, big data solutions, scientific apps, and government projects. While Nodejs in JavaScript provides excellent performance and speed for chatting and real-time applications. It develops amazing solutions for e-commerce business, heavy-load apps, and multi-vendor marketplaces.

Below coding examples will show you that “JavaScript is almost Pythonic”

Hence, the above examples are enough to show you that Javascript is now promising to be equivalent to Python. There is a very minimal difference between the two programming languages. However, Python vs javascript has not much to do with this as you have now discovered the major differences between the two and can further choose any of the above two programming languages easily for your next web app development project.

Closing Note:

With the above-given points, we can say that no language is good or bad. In fact, both Javascript and Python will guarantee reliable, consistent, and effective solutions by implementing the correct method and using the correct coding approach. You can go with the one as per your project requirements.

Thank you for reading. Hope this tutorial will surely help and you!

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#javascript #python #web-development

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Buddha Community

JavaScript vs. Python: Which One Can Benefit You The Most
Ray  Patel

Ray Patel

1619518440

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

1619510796

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

Shardul Bhatt

Shardul Bhatt

1626775355

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.

#python development services #python development company #python app development #python development #python in web development #python software development

Python vs. Javascript Throwdown: Which One Should You Prefer?

Introduction

There are so many programming languages out there that it can be a bit overwhelming to know which is right for your project, and picking the right language is crucial for getting the best performance in the least amount of time. We’ll compare and contrast the two most popular languages- Python vs. JavaScript, and explain which situations are best aligned with each.

JavaScript was rated as the most popular developer language in 2019. Many packages and frameworks are built on top of JavaScript, and some of the most popular are React, Angular and Node js.

Python is also one of the top 5 programming languages, and it’s the fastest-growing major language in the world right now. While Python has been growing steadily for twenty years or so, it has experienced exponential growth in the past five (5) years because of its adaptation as the primary language for machine learning and data science.

JavaScript and Python have some similarities in their language specifics, but there are significant variations in the core use cases of the two programming languages. Let’s have a throwdown on Python vs. Javascript, analyzing both of them in detail.

#full stack development #comparison #javascript #python #python vs javascript

Shany  Jenkins

Shany Jenkins

1613982660

Python Vs Javascript: A Detailed Comparison

Python vs JavaScript. How often do you come across these terms? Unless you are living under a rock, you must have heard of each of these and must also have wondered what these are. And if you are a developer, you must already have also used either of these languages. When talking about Python vs Javascript, both of them are pretty popular languages and have come in handy in many situations.

Now, even though both are object-oriented programming languages, they are distinct in nature. There is a lot of similarities between Python and JS, but with some major variations. However, both Python and JavaScript developers have sufficient job prospects available. It is therefore a good choice to select one of the two programming languages for beginning a career in programming.

When talking about just beginning to learn, Python remains to be an easier choice somehow. In reality, being simple and easy to understand is one of the key design goals of the Python programming language. In this blog, we will carry out a thorough comparison between both of these languages and help you understand the key differences between each of them.

Want to become better at Javascript? Star working on live Javascript projects and you will see a decent improvement in your skills.

So, how should we proceed further? Let us first understand each one of these one by one and then hold the Python vs Javascript comparison.

What is Python?

Python comes with dynamic semantics and popularly known to be an interpreted, object-oriented, high-level programming language. The easy and simple to learn syntax of Python emphasizes readability and thus lowers the cost of maintenance of the program. Modules and packages are provided by Python, which facilitates program modularity and code reuse.

Uses of Python

  1. It can be used on a server for building web apps.
  2. To build workflows, Python can be used with the software.
  3. Python will link to the systems of a database. It can read and edit files as well.
  4. It can be made to use to manage big data and perform complex mathematics.
  5. It is used for rapid prototyping, or for production-ready software creation.

#javascript #python #javascript #python