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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:
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:
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:-
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 codeNodejs 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:
$ 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.
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
Src: Benchmarks Game
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