git remote add origin remote_1_url
git remote set-url origin remote_1_url
# Set the default remote branch for the current local branch
git branch --set-upstream master
# or
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import re, string, unicodedata | |
import nltk | |
import contractions | |
import inflect | |
from nltk import word_tokenize, sent_tokenize | |
from nltk.corpus import stopwords | |
from nltk.stem import LancasterStemmer, WordNetLemmatizer | |
def replace_contractions(text): | |
"""Replace contractions in string of text""" |
The dplyr
package in R makes data wrangling significantly easier.
The beauty of dplyr
is that, by design, the options available are limited.
Specifically, a set of key verbs form the core of the package.
Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe.
Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R.
The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas
package).
dplyr is organised around six key verbs: