The fastest way to read a CSV in Pandas
This article covers:
1. Pandas’ default CSV reading.
2. The faster, more parallel CSV reader introduced in v1.4.
3. A different approach that can make things even faster.
https://pythonspeed.com/articles/pandas-read-csv-fast/
This article covers:
1. Pandas’ default CSV reading.
2. The faster, more parallel CSV reader introduced in v1.4.
3. A different approach that can make things even faster.
https://pythonspeed.com/articles/pandas-read-csv-fast/
Python⇒Speed
The fastest way to read a CSV in Pandas
Learn the fastest way to read a CSV in to Pandas.
#Snippet
Useful constants in #python
Using #Python's calendar module + the enumerate built-in to make a mapping of month names -> numbers
Useful constants in #python
Using #Python's calendar module + the enumerate built-in to make a mapping of month names -> numbers
>>> import calendar
>>> MONTH_NAMES_TO_NUMBERS = {
... v: k for k, v in enumerate(calendar.month_abbr[1:], start=1)
... }
>>> MONTH_NAMES_TO_NUMBERS
{'Jan': 1, 'Feb': 2, 'Mar': 3, 'Apr': 4, 'May': 5, 'Jun': 6, 'Jul': 7, 'Aug': 8, 'Sep': 9, 'Oct': 10, 'Nov': 11, 'Dec': 12}Forwarded from Information for IT Students
How to send a tweet with #Python and TweePy in under 10 lines of code
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For more information, refer the Twitter thread given below👇🏻
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For more information, refer the Twitter thread given below👇🏻