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Shubhanshu Mishra napsternxg

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napsternxg / saveSQLSession.sh
Created Jun 13, 2014
Save current SQL interactive session to file
View saveSQLSession.sh
mysql --user=root --password=root --tee=./SQLSession.out
# To start the logging to the given file from the session use
# mysql> \T
# Logging to file ./SQLSession.out
# To stop logging use
# mysql> \t
View hist.sql
SELECT ROUND(numeric_value, -2) AS bucket,
COUNT(*) AS COUNT,
RPAD('', LOG(COUNT(*)), '*') AS bar
FROM my_table
GROUP BY bucket;
/*
numeric_value = column name
-2 to round in steps of 100. Use -1 for steps of 10 and any positive vale for rounding to nearest decimal
LOG(COUNT(*)) is to make the count on log scale
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napsternxg / monte_carlo_circle.py
Created Feb 11, 2015
Monte Carlo Method for approximating the value of pi using ratio of area of circle inscribed in unit length square.
View monte_carlo_circle.py
"""
Using Monte Carlo to find the value of pi.
Intiution: Ratio of area of circle to area of uniq length squre it is inscribed it can be used to approximate pi.
Area of circle = pi/4
Area of square = 1
Ratio = pi/4
Let us generate random points x,y inside the square. The probabilty of the point being inside circle is equal to the above ratio.
Circle centered on origin.
Given: -0.5 <= x,y <= 0.5
A point is inside circle if x**2 + y**2 <= 1/4
@napsternxg
napsternxg / gen10power_range.py
Last active Aug 29, 2015
Generate 10 power range like 1,2,3,..10,20,30,...90,100,200,300...
View gen10power_range.py
max_n = 1200
[k for k in range(1,max_n) if k % 10**int(np.log10(k)) == 0]
"""
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000]
"""
#More computationally effective solution for large max_n
@napsternxg
napsternxg / toy_dict.py
Created Jun 1, 2015
Toy demo for demostrating the implementation of a dictionary in python
View toy_dict.py
"""
This code snippet explains the implementation of a dictionary using a hashing function.
Problem: Store the marks of student with given roll numbers in a data structure for quick access of marks based on roll number.
Concept: Use a dictionary data structure.
"""
roll_numbers = [9,8,7,2,1,3,4,5]
marks = [10,20,5,13,77,33,2,99]
HASH_CONST=11 # Constant used for hashing. For practical purposes more sophesticated and optimized hash functions are used.
@napsternxg
napsternxg / Decrypt.vb
Last active Aug 29, 2015
Decrypt the passwords saved by Totroise SVN
View Decrypt.vb
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
' SAMPLE: Encryption and decryption using DPAPI functions.
'
' To run this sample, create a new Visual Basic.NET project using the Console
' Application template and replace the contents of the Module1.vb file with
' the code below.
'
' Go to the folder %APPDATA%\Subversion\auth\svn.simple
' Copy the Encrypted Value of the password denoted by the line below 2 lines below the line saying password
' Compile the code and put this value in a new file called InputFile.txt and in the same location where you are executing the code.
View np_extractor.py
# coding=UTF-8
import nltk
from nltk.corpus import brown
# This is a fast and simple noun phrase extractor (based on NLTK)
# Feel free to use it, just keep a link back to this post
# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
# Create by Shlomi Babluki
# May, 2013
@napsternxg
napsternxg / logit_scale.ipynb
Last active Aug 29, 2015 — forked from pierre-haessig/logit_scale.ipynb
Logit scale, for plotting cumulated probability distributions (matplotlib implementation). Better visualization of the tails
View logit_scale.ipynb
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View phrases.py
import nltk
import string
from collections import Counter
def untokenize(ngram):
tokens = list(ngram)
return "".join([" "+i if not i.startswith("'") and \
i not in string.punctuation and \
i != "n't"
else i for i in tokens]).strip()
View ObjectOperations.java
/*
* To change this template, choose Tools | Templates
* and open the template in the editor.
*/
/**
*
* @author napsternxg
*/