 # importing nse from nse tools
from nsetools import Nse
from pprint import pprint # just for neatness of display

# creating a Nse object
nse = Nse()

index_list = nse.get_index_list()
nifty50 = nse.get_index_quote("NIFTY BANK")
q = nse.get_quote('infy') # it's ok to use both upper or lower case for codes.
all_stock_codes = nse.get_stock_codes()

#print(index_list)
#['NIFTY 50 Pre Open', 'NIFTY 50', 'NIFTY NEXT 50', 'NIFTY100 LIQ 15', 'NIFTY BANK', 'INDIA VIX', 'NIFTY 100', 'NIFTY 500', 'NIFTY MIDCAP 100', 
#'NIFTY MIDCAP 50', 'NIFTY INFRA', 'NIFTY REALTY', 'NIFTY ENERGY', 'NIFTY FMCG', 'NIFTY MNC', 'NIFTY PHARMA', 'NIFTY PSE', 'NIFTY PSU BANK', 
#'NIFTY SERV SECTOR', 'NIFTY IT', 'NIFTY SMLCAP 100', 'NIFTY 200', 'NIFTY AUTO', 'NIFTY MEDIA', 'NIFTY METAL', 'NIFTY DIV OPPS 50', 'NIFTY COMMODITIES', 
#'NIFTY CONSUMPTION', 'NIFTY CPSE', 'NIFTY FIN SERVICE', 'NIFTY GROWSECT 15', 'NIFTY50 VALUE 20', 'NIFTY50 TR 2X LEV', 'NIFTY50 PR 2X LEV', 'NIFTY50 TR 1X INV', 
#'NIFTY50 PR 1X INV', 'NIFTY ALPHA 50', 'NIFTY50 EQL WGT', 'NIFTY100 EQL WGT', 'NIFTY100 LOWVOL30', 'NIFTY MID LIQ 15', 'NIFTY PVT BANK', 'NIFTY100 QUALTY30', 
#'NIFTY GS 8 13YR', 'NIFTY GS 10YR', 'NIFTY GS 10YR CLN', 'NIFTY GS 4 8YR', 'NIFTY GS 11 15YR', 'NIFTY GS 15YRPLUS', 'NIFTY GS COMPSITE', 'NIFTY MIDCAP 150', 
#'NIFTY SMLCAP 50', 'NIFTY SMLCAP 250', 'NIFTY MIDSML 400', 'NIFTY200 QUALTY30']

#print(nifty50)
#{'name': 'NIFTY 50', 'lastPrice': 15689.8, 'change': '-38.10', 'pChange': '-0.24', 'imgFileName': 'NIFTY_50_open.png'}

#print(nifty50)
#pprint(q)
#print(nse.get_index_quote("nifty bank"))
#print(all_stock_codes)

adv_dec = nse.get_advances_declines()
#pprint(adv_dec[0])

top_gainers = nse.get_top_gainers()
#pprint(top_gainers)

print(nse.get_fno_lot_sizes('NIFTY'))

created 3 years ago

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