Andy Thomason is a Senior Programmer at Genomics PLC. He has been witing graphics systems, games and compilers since the '70s and specialises in code performance.
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#!/usr/bin/env python3 | |
# -*- coding: utf-8 -*- | |
"""Convert a music .cue file into a label file. | |
This module will accept an optional string attribute that specifies the input | |
.cue file. If this file is not provided in the call then file-select box will | |
be presented to the user. Output is a .txt file of labels that can be input | |
into Audacity. | |
Examples: |
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:
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g_LastCtrlKeyDownTime := 0 | |
g_AbortSendEsc := false | |
g_ControlRepeatDetected := false | |
*CapsLock:: | |
if (g_ControlRepeatDetected) | |
{ | |
return | |
} |