 a="Flux crypto  1480729632 VIP CLUB Premium our signals  1315974116 Alts center vip  1162600971 28 crypto group  1422413741 BEST VIP CHANNELS  1596770079 Crypto ease  1396982010 Vipclub_99 Triangle VIP  1432286574 9 the bull exclusive  1366236898 15 raticoin vip  1240042467 Smokey killers  1175666673 aman crypto vip & Binance killer  1233818080 Binance killers  1365457254 The Crypto Bulls Official ✅  1560940467 Crypto future spot signal leaks  1458724878 27 crypto vip  1384920033 WeTrade Premium Crypto Signals 🌟  1258575684 WeTrade Premium 🌟  1318927275 Fed russian vip  1441916493 Fir vip  1161804847 Buy and sell  1178747922 Walsh wealth group  1209521283 Crypto Crown ™  1215365882 19 signal express  1195075932 Crypto VIP premium  1485373051 14 crypto cove  1353457542 Crypto Binance Trading  Signals & Pumps  1448562668 The rich trader vip  1220700538 Yo crypto vip  1332775598 Crypto money  1568895835 Credible crypto vip  1471687759 10 all time signals  1375332432 Rekt proof  1478359911 Coldblood  1212952843 Bullet  1317178350 Binance Futures Robot Trading  1181990797 Pierre crypto  1294527627 Crypto slayer  1559916696 Special leverage  1563813203 Quality Signals Channel  1343688547 🔱VIPCLUB_99🔱  1476156286 Always win trades  1575874015 Universal  1413826877 Wcse leverage  1150693397 B.W VIP  1184658271 Crypto loma  1354483504 Birb nest  1476002957 20 mega crypto  1432309142 26 ozel club vip  1169153645 Uptrend signals vip  1155900484 Crypto Daily Trade Signals  1553100415 Crypto news  1410892516 Bitmex experts  1438799445 12 crypto tree vip  1216797012 Palm beach vip  1548401219 BPS VIP  1435124706 💵Margin whales VIP💵  1144911788 Trader SZ  1525514419 21 alan masters  1483890314 Rocket vip  1599838089 Z crypto  1491517125 32 500 signals team vip  1345198255 Swing channel  1463345515 Bitmex saviour  1259945264 Crypto Futures Spot Signals😘  1381384148 Elite binance @vipclub_99  1518393497 David smith  1193185026 100 eyes vip  1261930350 Income sharks  1557063786 Bullet  1305888695 Haven krillin vip  1220968037 Wallstreet  1418324168 Trading by CF  1474273170 TcA (tradingByCF)  1439739610 Mega Pump Group  1297239210 24 klondike vip  1343869075 17 crypto coach  1401988079 Predictum channel  1548483498 8 heisenberg  1212786466 Crypto world signals  1496445981 Fat Pig Signals  1172953720 36 alt signals binance futures  1213602171 Fast scalps  1349555199 7 fat pig vip  1473253023 Platter  1443299611 Whales guide  1177277488 Warsnop crypto  1591998679 Premium results daily  1163950834 Best Binance Pumps  1530110309 CRYPTO SIGNALS FREE  1448478981 Fear and gread  1467208342 100 btc vip  1474295304 Kim and crypto  1479684893 Alex clay scalping  1236576651 Richard temple  1545993377 Lizard vip  1553586537 Trader X  1313131209 Crypto chris  1154488225 Warsnop forex  1389812828 Pentagon  1511836615 11 wolfpack  1247748886 Crypto UB  1553982116 Perfect Scalping Binance Futures  1484533565 Killmex  1205293013 Artem crypto  1461790573 Vipclub_99  1177192597 18 wolves vip  1201294093 5 aman crypto vip  1222153258 Crypto hero vip  1240865333 25 crypto exchange news  1242407638 Predictum VIP  1250441004 13 whale crypto  1255107790 فرمانده کریپتو vip  1300696290 30 vip 25  1305914348 Forflies  1318361632 Kaiser crypto  1320814201 Binance futures angel  1329228981 Crypto whale signals  1345305063 35 crypto swings  1357813529 Vip signals  1386221854 Iran vip  1404662362 Forex and crypto vip signals  1435467859 Future x125 vip  1470542296 K&S signals  1504257671 B.N.C VIP future signals  1532707894 Future elite  1556431653 VIPCLUB_99 CRYPTO vip  1562682320 Binance future vip signals  1592920326 Section F,G,Z 3rd year  1282608404  Cosmos audiobook  1208187268"

def is_number(n):
    try:
        float(n)
    except ValueError:
        return False
    return True

b=a.split(' ')
c=[]
for i in b:
  if(is_number(i) and len(i)==10):
    c.append(i)
print(len(c))
print(",".join(c))

created 3 years ago by Abhinav

Python Online Compiler

Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

Taking inputs (stdin)

OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.

import sys
name = sys.stdin.readline()
print("Hello "+ name)

About Python

Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.

Tutorial & Syntax help

Loops

1. If-Else:

When ever you want to perform a set of operations based on a condition IF-ELSE is used.

if conditional-expression
    #code
elif conditional-expression
    #code
else:
    #code

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.

while condition  
    #code

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)

Below throws an error if you assign another value to tuple again.

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

Name	Description
NumPy	NumPy python library helps users to work on arrays with ease
SciPy	SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learn	Scikit-learn or Scikit-learn is the most useful library for machine learning in Python
Pandas	Pandas is the most efficient Python library for data manipulation and analysis
DOcplex	DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling