https://img87.pixhost.to/images/599/359020115_tuto.jpg


Analyzing Data With Polars in Python
Language: English | Size:1.63 GB
Genre:eLearning

Files Included :

1  About Me.mp4 (12.23 MB)
MP4
2  Installing Polars and Other Libraries.mp4 (5.69 MB)
MP4
3  Why Use Polars.mp4 (6.9 MB)
MP4
4  What to Know Upfront.mp4 (2.07 MB)
MP4
5  Contained in this Course.mp4 (3.99 MB)
MP4
6  Testing the Performance of Polars.mp4 (23.57 MB)
MP4
7  Understanding Series.mp4 (19.88 MB)
MP4
8  Understanding DataFrames.mp4 (38.26 MB)
MP4
1  Reading Files from the Web.mp4 (5.57 MB)
MP4
2  Selecting and Naming Columns while Reading.mp4 (36.28 MB)
MP4
3  Reading Excel Files.mp4 (20.38 MB)
MP4
4  Reading JSON Files.mp4 (14.1 MB)
MP4
5  Reading Parquet Files.mp4 (4.98 MB)
MP4
6  Writing Files to Disk.mp4 (29.37 MB)
MP4
1  Course Complete.mp4 (1.39 MB)
MP4
1  Filtering Rows with Square Brackets.mp4 (17.28 MB)
MP4
2  Filtering Rows with the Expression API.mp4 (25.59 MB)
MP4
3  Filtering in Lazy Mode.mp4 (21.89 MB)
MP4
4  Filtering Rows based on Values.mp4 (26.99 MB)
MP4
1  Filtering Columns with Square Brackets.mp4 (24.5 MB)
MP4
2  Filtering Columns with the Expression API.mp4 (19.02 MB)
MP4
1  Updating Columns.mp4 (22.31 MB)
MP4
2  Updating Rows.mp4 (40.2 MB)
MP4
3  Adding Columns.mp4 (47.42 MB)
MP4
4  Adding Rows.mp4 (8.44 MB)
MP4
1  Missing Values.mp4 (38.21 MB)
MP4
2  Replacing Missing Values.mp4 (30.19 MB)
MP4
3  Numerical Data Types and Precision.mp4 (30.91 MB)
MP4
4  String and Categorical Data Types.mp4 (24.99 MB)
MP4
5  Nested Data Types List, Struct, Object.mp4 (21.15 MB)
MP4
1  Formatting Text.mp4 (9.37 MB)
MP4
1 1 Section 6 jupyter notebooks.zip (138.7 MB)
ZIP
2  Replacing Text.mp4 (12.52 MB)
MP4
3  Slicing Text.mp4 (19.28 MB)
MP4
4  Filtering Text.mp4 (23.37 MB)
MP4
5  Splitting Text.mp4 (31.82 MB)
MP4
1  Statistics.mp4 (43.31 MB)
MP4
1 1 Section 7 jupyter notebooks.zip (138.71 MB)
ZIP
2  Counting Values.mp4 (19.04 MB)
MP4
3  Grouping Values.mp4 (56.62 MB)
MP4
4  Grouping Values with Over.mp4 (19.59 MB)
MP4
5  Quantiles.mp4 (16.57 MB)
MP4
1  Concatenating DataFrames.mp4 (42.1 MB)
MP4
1 1 Section 8 jupyter notebooks.zip (138.71 MB)
ZIP
2  Left and Inner Joins on Dataframes.mp4 (35.88 MB)
MP4
1  Time Zones.mp4 (23.65 MB)
MP4
1 1 Section 9 jupyter notebooks.zip (138.75 MB)
ZIP
2  Parsing Datetime Strings.mp4 (23.16 MB)
MP4
3  Adjusting Datetimes.mp4 (48.53 MB)
MP4
4  Extracting Datetime Components.mp4 (21.71 MB)
MP4
5  Filtering Timeseries.mp4 (16.95 MB)
MP4
6  Grouping on Datetimes.mp4 (28.21 MB)
MP4

https://img87.pixhost.to/images/1010/363506399_rg.png
Analyzing Data With Polars in Python.z01

Код:
https://rapidgator.net/file/650b26d4a6fb69cae49f3614a0b87034/Analyzing_Data_With_Polars_in_Python.z01

Analyzing Data With Polars in Python.zip

Код:
https://rapidgator.net/file/b573ffbf0819a8d667c4c1bc75ba9f06/Analyzing_Data_With_Polars_in_Python.zip

https://img90.pixhost.to/images/347/393110887_alfafile-logo.png
Analyzing Data With Polars in Python.z01

Код:
https://alfafile.net/file/Auu3q/Analyzing_Data_With_Polars_in_Python.z01

Analyzing Data With Polars in Python.zip

Код:
https://alfafile.net/file/Auu3s/Analyzing_Data_With_Polars_in_Python.zip