Diablo Immortal Legendary Chest -> ONE 5/5 Star Legendary Gem
Diablo Immortal Legendary Chest -> ONE 5/5 Star Legendary Gem
Output:
1700 167 591 2447 1064 2508 2450 7834 1466 1550 350 1238 3722 726 700 161 1680 900 400 2550 464 550 1215 1050 610 403 1450 224 894 1450 100 200 1511 850 600 4100 3950 1400 1160 706 1350 940 2493 1424 728 817 168 700 749 2150 844 1692 4700 1361 1660 1495 2942 249 5679 1520 626 4062 4547 5850 632 1800 1356 900 3800 854 470 1353 730 750 84 1849 101 750 5700 1070 700 150 1446 1599 1122 273 681 1050 1495 3598 64 587 675 157 43 911 1569 4721 1509 4397 2000 1276 500 1850 550 268 509 3836 276 1508 377 556 1210 3550 4964 1030 3169 3685 481 2000 1781 259 329 291 84 411 1274 873 1750 321 2150 3815 1272 2573 150 1296 1150 650 1348 808 874 1050 3145 696 1540 1068 494 5179 2679 750 564 3900 334 1850 7000 7124 2850 159 76 3825 141 1764 2869 200 1347 375 100 73 6267 539 4411 200 55 5150 1004 2708 6600 795 900 207 1821 281 1011 800 850 5850 452 1200 1822 566 1323 23 1112 3650 4303 1188 450 138 2892 45
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 |
Matplotlib | Matplotlib is a cross-platform, data visualization and graphical plotting library for Python programming and it's numerical mathematics extension NumPy |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |