akshilshah

# Source: https://stackoverflow.com/questions/44602191/how-to-completely-uninstall-python-2-7-13-on-ubuntu-16-04
# Remove python2
sudo apt purge -y python2.7-minimal &&
sudo ln -s /usr/bin/python3 /usr/bin/python &&
sudo apt install -y python3-pip &&
sudo ln -s /usr/bin/pip3 /usr/bin/pip

singhrahuldps

# required libraries - numpy, pandas, pytorch
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.optim as optim
import random

# laoding the table as a pandas dataframe
ratings = pd.read_csv('ratings.csv')

sharavsambuu

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from __future__ import print_function

__author__ = 'maxim'

import numpy as np
import gensim
import string

wojteklu

Code is clean if it can be understood easily – by everyone on the team. Clean code can be read and enhanced by a developer other than its original author. With understandability comes readability, changeability, extensibility and maintainability.

---

General rules

1. Follow standard conventions.
2. Keep it simple stupid. Simpler is always better. Reduce complexity as much as possible.
3. Boy scout rule. Leave the campground cleaner than you found it.
4. Always find root cause. Always look for the root cause of a problem.

Design rules

sharmaeklavya2

Starting out with Competitive Programming

(This guide is meant for beginners. If you have solved 100+ problems and are looking for guidance on how to solve problems involving algorithms and data structures, this document is not for you.)

Competitive Programming is an interesting activity which mixes problem solving with programming. It is not only enjoyable but also very demanded in placements. Competitive programming will make you very good at writing efficient programs quickly.

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)