Session 22 - Vectorized String Operations | DateTime in Pandas | Pivot Table | DSMP 2022-23

Data Science Mentorship Program (DSMP) 2022-23

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Datasets used in the session -

Notebook Links
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| Time stamp |
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0:00 Start
6:26 #pivot_table
15:58 #aggfunc
19:27 #multidimensional pivot_table
23:29 #pivot_table margin
25:31 #plotting_graph
36:50 #pandas_string
37:53 # What are vectorized string operations
40:04 # problem in vectorized opertions in vanilla python
42:52 # How pandas solves this issue?
# Common Functions
46:21 lower/upper/capitalize/title
47:54 #len/strip
51:03 #split -- get
1:00:27 #replace
1:02:58 # filtering - # startswith/endswith isdigit/isalpha...
1:05:21 # applying regex
1:07:06 # find last names with start and end char vowel
1:10:47 # slicing

1:14:56 #pandas date_time
1:17:00 Creating Timestamp objects
1:25:31 # fetching attributes - year/month/day/
1:26:41 #why separate objects to handle data and time when python already has datetime functionality?
1:31:34 #DatetimeIndex Object
1:37:45 #date_range function
1:44:55 #to_datetime function
1:52:33 #date time accessor
1:53:41 #plotting
2:00:12 Doubt

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[offtopic]

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[Vid_Lumina]

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[TheKumarAshwin]

18:15 i always hit errors when omitting the values parameter in pivot tables.

[sanketvarma]

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[licklock]

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[anjan]

Could not find the tips dataset in google drive