entaroadun

Movies Recommendation:

• MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
• Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
• Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
• Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/

Music Recommendation:

• Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

tsaqib

Ideas

I have collected and moderated these ideas from various public sources and put into one place so that problem solvers and solution developers may find inspirations. Because I wish to update it regularly, I have setup as a single page wiki. You may try these ideas on hackathons/competitions/research; some are quite intense problems and some are not. Many of the problems were prepared keeping Dhaka/Bangladesh in mind, but of course can be applied to just about any underdeveloped/developing and sometimes developed countries.

Categories:

• Eradicate Extreme Poverty and Hunger
• Education
• Healthcare
• Governance

adrialuzllompart

def plot_learning_curves(estimator, X_train, y_train, X_val, y_val,
                         suptitle='', title='', xlabel='', ylabel=''):
    """
    Plots learning curves for a given estimator.

    Parameters
    ----------

    estimator : sklearn estimator
    X_train : pd.DataFrame

SergiyKolesnikov

brianpurkiss

<?php
/**
 * Gravity Forms Bootstrap Styles
 *
 * Applies bootstrap classes to various common field types.
 * Requires Bootstrap to be in use by the theme.
 *
 * Using this function allows use of Gravity Forms default CSS
 * in conjuction with Bootstrap (benefit for fields types such as Address).
 *

bradtraversy

Pipenv Cheat Sheet

Install pipenv

pip3 install pipenv

Activate

pipenv shell

Venkatstatistics

#Resume Phrase Matcher code


#importing all required libraries

import PyPDF2
import os
from os import listdir
from os.path import isfile, join
from io import StringIO

maurelian

Feel free to copy and paste this list into a README, issue or elsewhere in your project.

Audit prep checklist (reference)

• Documentation (A plain english description of what you are building, and why you are building it. Should indicate the actions and states that should and should not be possible)
  • For the overall system
  • For each unique contract within the system
• Clean code
  • Run a linter (like EthLint)
• Fix compiler warnings

elrayle

Byebug Cheatsheet

This cheatsheet includes most of the byebug commands organized by related commands (e.g. breakpoint related commands are together).

To see official help...

Command	Aliases	Example	Comments
help	h	h	list top level of all commands
help cmd	h cmd-alias	h n	list the details of a command (example shows requesting details for the next command) (this works for all commands)