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[ CourseWikia com ] PluralSight - Validate Data Cleanliness Using Asserts in Python
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Name:[ CourseWikia com ] PluralSight - Validate Data Cleanliness Using Asserts in Python
Infohash: C8209D2413780ED09A7ED98DF622F22E5C559778
Total Size: 207.53 MB
Magnet: Magnet Download
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Last Updated: 2025-11-27 11:48:31 (Update Now)
Torrent added: 2023-05-11 22:01:48
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01_open_close
open_close.py
with_open.py
02
demos
Demos
Before
BeginEnd
BeginEnd.sln
BeginEnd
BeginEnd.cpp
BeginEnd.vcxproj
BeginEnd.vcxproj.filters
BeginEnd.vcxproj.user
vs
BeginEnd
project-colors.json
v17
suo
demo1.txt
demo2.txt
demo3.txt
demo4.txt
demo5.txt
importing-text-files-slides.pdf
python-and-data-science-slides.pdf
standard-library-philosophy-and-approach-slides.pdf
validating-and-verifying-data-using-asserts-slides.pdf
02_read_print
read_print.py
03
basics-of-python-slides.pdf
counting-and-finding-slides.pdf
demos
Demos
After
Counting
Counting.sln
Counting
Counting.cpp
Counting.vcxproj
Counting.vcxproj.filters
Counting.vcxproj.user
vs
Counting
project-colors.json
v17
suo
ProjectSettings.json
VSWorkspaceState.json
Finding
Finding.sln
Finding
Finding.cpp
Finding.vcxproj
Finding.vcxproj.filters
Finding.vcxproj.user
vs
Finding
project-colors.json
v17
suo
Remove
Remove.sln
Remove
Remove.cpp
Remove.vcxproj
Remove.vcxproj.filters
Remove.vcxproj.user
Resource.cpp
Resource.h
vs
Remove
project-colors.json
v17
suo
Before
Counting
Counting.sln
Counting
Counting.cpp
Counting.vcxproj
Counting.vcxproj.filters
Counting.vcxproj.user
vs
Counting
project-colors.json
v17
suo
Finding
Finding.sln
Finding
Finding.cpp
Finding.vcxproj
Finding.vcxproj.filters
Finding.vcxproj.user
vs
Finding
project-colors.json
v17
suo
Remove
Remove.sln
Remove
Remove.cpp
Remove.vcxproj
Remove.vcxproj.filters
Remove.vcxproj.user
Resource.cpp
Resource.h
vs
Remove
project-colors.json
v17
suo
demo1.txt
demo2.txt
m3-demo
Arithmetic Operators.ipynb
Comparison Operators.ipynb
Expressions and Operators.ipynb
Identifiers and Literals.ipynb
Logical Operators.ipynb
loading-and-reading-flat-files-slides.pdf
using-assert-based-tests-for-data-cleaning-slides.pdf
03_read_manually
read_manually.py
04
demos
Demos
Before
Sorting
Sorting.sln
Sorting
Employee.cpp
Employee.h
Sorting.cpp
Sorting.vcxproj
Sorting.vcxproj.filters
Sorting.vcxproj.user
vs
Sorting
project-colors.json
v17
suo
Packages in Python.ipynb
Python Lists.ipynb
Sets.ipynb
Tuple.ipynb
import-text-file-with-numpy-slides.pdf
python-packages-and-data-structures-slides.pdf
sorting-slides.pdf
04_parse_manually
parse_manually.py
05
comparing-and-accumulating-slides.pdf
demos
Demos
Before
Accumulate
Accumulate.sln
Accumulate
Accumulate.cpp
Accumulate.vcxproj
Accumulate.vcxproj.filters
Accumulate.vcxproj.user
vs
Accumulate
project-colors.json
v17
suo
Compare
Compare.sln
Compare
Compare.cpp
Compare.vcxproj
Compare.vcxproj.filters
Compare.vcxproj.user
vs
Compare
project-colors.json
v17
suo
ForEach
ForEach.sln
ForEach
ForEach.cpp
ForEach.vcxproj
ForEach.vcxproj.filters
ForEach.vcxproj.user
vs
ForEach
project-colors.json
v16
suo
v17
suo
import-text-file-into-pandas-slides.pdf
05_csv_reader
csv_reader.py
06
copying-and-moving-slides.pdf
demos
Demos
Before
Copy
Copy.sln
Copy
Copy.cpp
Copy.vcxproj
Copy.vcxproj.filters
Copy.vcxproj.user
vs
Copy
project-colors.json
v17
suo
final-takeaway-slides.pdf
06_numpy
numpy_import.py
07
demos
Demos
Before
Ranges
Ranges.sln
Ranges
Ranges.cpp
Ranges.vcxproj
Ranges.vcxproj.filters
Ranges.vcxproj.user
vs
Ranges
project-colors.json
v17
suo
Replace
Replace.sln
Replace
Replace.cpp
Replace.vcxproj
Replace.vcxproj.filters
Replace.vcxproj.user
vs
Replace
project-colors.json
v17
suo
Transform
Transform.sln
Transform
Transform.cpp
Transform.vcxproj
Transform.vcxproj.filters
Transform.vcxproj.user
vs
Transform
project-colors.json
v17
suo
transforming-slides.pdf
07_pandas
pandas_import.py
08
demos
Demos
Before
Generating
Generating.sln
Generating
Generating.cpp
Generating.vcxproj
Generating.vcxproj.filters
Generating.vcxproj.user
vs
Generating
project-colors.json
v17
suo
Reverse
Reverse.sln
Reverse
Reverse.cpp
Reverse.vcxproj
Reverse.vcxproj.filters
Reverse.vcxproj.user
vs
Reverse
project-colors.json
v17
suo
Rotate
Rotate.sln
Rotate
Rotate.cpp
Rotate.vcxproj
Rotate.vcxproj.filters
Rotate.vcxproj.user
vs
Rotate
project-colors.json
v17
suo
Unique
Unique.sln
Unique
Unique.cpp
Unique.vcxproj
Unique.vcxproj.filters
Unique.vcxproj.user
vs
Unique
project-colors.json
v17
suo
generating-and-manipulating-slides.pdf
09
conventions-slides.pdf
1. Course Overview
1. Course Overview.mp4
1. Course Overview.vtt
2. Validating and Verifying Data Using Asserts
1. Introduction.mp4
1. Introduction.vtt
2. Asserts for Validation.mp4
2. Asserts for Validation.vtt
3. Demo - Asserts in Python.mp4
3. Demo - Asserts in Python.vtt
4. Demo - Verifying Index Equality.mp4
4. Demo - Verifying Index Equality.vtt
5. Demo - Verifying Series Equality.mp4
5. Demo - Verifying Series Equality.vtt
6. Demo - Verifying DataFrames Equality.mp4
6. Demo - Verifying DataFrames Equality.vtt
7. Demo - Verifying Data Tidiness with NumPy.mp4
7. Demo - Verifying Data Tidiness with NumPy.vtt
8. Summary.mp4
8. Summary.vtt
3. Using Assert-based Tests for Data Cleaning
1. Introduction to Assert-based Tests.mp4
1. Introduction to Assert-based Tests.vtt
2. Quantitative Test for Clean Data Using Asserts.mp4
2. Quantitative Test for Clean Data Using Asserts.vtt
3. Logical Test for Clean Data Using Asserts.mp4
3. Logical Test for Clean Data Using Asserts.vtt
4. Summary.mp4
4. Summary.vtt
Bonus Resources.txt
files
badges-five-header.txt
badges-five-missing-value.txt
badges-five-numpy.txt
badges-five.txt
people.csv
posts-100-header copy.csv
posts-100-header.csv
posts-100.csv
posts-100.tsv
users-five.csv
users-five.tsv
users-simple-five.csv
playlist.m3u
tracker
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