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Data Analysis with Polars and Python

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File Name
Size
Chapter 01 Introduction/001. Welcome to Polars.mp4
91 MB
Chapter 01 Introduction/001. Welcome to Polars.en.srt
13 kB
Chapter 01 Introduction/002. [macOS] Intro to Terminal.en.srt
11 kB
Chapter 01 Introduction/002. [macOS] Intro to Terminal.mp4
56 MB
Chapter 01 Introduction/003. [macOS] Install uv, a Python package and project manager.en.srt
8.4 kB
Chapter 01 Introduction/003. [macOS] Install uv, a Python package and project manager.mp4
20 MB
Chapter 01 Introduction/004. [macOS] Download Course Materials and Setup Project.en.srt
5.3 kB
Chapter 01 Introduction/004. [macOS] Download Course Materials and Setup Project.mp4
13 MB
Chapter 01 Introduction/005. [Windows] Intro to PowerShell.en.srt
12 kB
Chapter 01 Introduction/005. [Windows] Intro to PowerShell.mp4
31 MB
Chapter 01 Introduction/006. [Windows] Install uv, a Python package and project manager.en.srt
6.9 kB
Chapter 01 Introduction/006. [Windows] Install uv, a Python package and project manager.mp4
17 MB
Chapter 01 Introduction/007. [Windows] Download Course Materials and Setup Project.en.srt
8.2 kB
Chapter 01 Introduction/007. [Windows] Download Course Materials and Setup Project.mp4
18 MB
Chapter 01 Introduction/008. Jupyter Lab Startup and Shutdown.en.srt
13 kB
Chapter 01 Introduction/008. Jupyter Lab Startup and Shutdown.mp4
31 MB
Chapter 01 Introduction/009. Intro to Jupyter Lab.en.srt
21 kB
Chapter 01 Introduction/009. Intro to Jupyter Lab.mp4
44 MB
Chapter 01 Introduction/010. Setting Up Ruff Formatter in Jupyter Lab.en.srt
3.5 kB
Chapter 01 Introduction/010. Setting Up Ruff Formatter in Jupyter Lab.mp4
5.6 MB
Chapter 01 Introduction/011. Import Libraries into Jupyter Lab.en.srt
6.3 kB
Chapter 01 Introduction/011. Import Libraries into Jupyter Lab.mp4
13 MB
Chapter 02 Python Crash Course/001. Comments.en.srt
11 kB
Chapter 02 Python Crash Course/001. Comments.mp4
19 MB
Chapter 02 Python Crash Course/002. Data Types.en.srt
16 kB
Chapter 02 Python Crash Course/002. Data Types.mp4
29 MB
Chapter 02 Python Crash Course/003. Operators.en.srt
19 kB
Chapter 02 Python Crash Course/003. Operators.mp4
38 MB
Chapter 02 Python Crash Course/004. Equality and Inequality Operators.en.srt
14 kB
Chapter 02 Python Crash Course/004. Equality and Inequality Operators.mp4
27 MB
Chapter 02 Python Crash Course/005. Variables.en.srt
11 kB
Chapter 02 Python Crash Course/005. Variables.mp4
21 MB
Chapter 02 Python Crash Course/006. Built-In Functions.en.srt
19 kB
Chapter 02 Python Crash Course/006. Built-In Functions.mp4
53 MB
Chapter 02 Python Crash Course/007. Custom Functions.en.srt
25 kB
Chapter 02 Python Crash Course/007. Custom Functions.mp4
61 MB
Chapter 02 Python Crash Course/008. String Methods.en.srt
29 kB
Chapter 02 Python Crash Course/008. String Methods.mp4
67 MB
Chapter 02 Python Crash Course/009. Lists.en.srt
21 kB
Chapter 02 Python Crash Course/009. Lists.mp4
40 MB
Chapter 02 Python Crash Course/010. Index Positions and Slicing.en.srt
27 kB
Chapter 02 Python Crash Course/010. Index Positions and Slicing.mp4
53 MB
Chapter 02 Python Crash Course/011. Tuples.en.srt
12 kB
Chapter 02 Python Crash Course/011. Tuples.mp4
22 MB
Chapter 02 Python Crash Course/012. Dictionaries.en.srt
21 kB
Chapter 02 Python Crash Course/012. Dictionaries.mp4
44 MB
Chapter 02 Python Crash Course/013. Classes and Objects.en.srt
9.7 kB
Chapter 02 Python Crash Course/013. Classes and Objects.mp4
27 MB
Chapter 02 Python Crash Course/014. Importing Modules.en.srt
17 kB
Chapter 02 Python Crash Course/014. Importing Modules.mp4
42 MB
Chapter 02 Python Crash Course/015. Importing Libraries.en.srt
5.0 kB
Chapter 02 Python Crash Course/015. Importing Libraries.mp4
11 MB
Chapter 02 Python Crash Course/016. Unsigned and Signed Integers.en.srt
17 kB
Chapter 02 Python Crash Course/016. Unsigned and Signed Integers.mp4
74 MB
Chapter 03 Series/001. Import the Polars Series.en.srt
8.2 kB
Chapter 03 Series/001. Import the Polars Series.mp4
18 MB
Chapter 03 Series/002. Create a Series.en.srt
16 kB
Chapter 03 Series/002. Create a Series.mp4
37 MB
Chapter 03 Series/003. Data Type Inference.en.srt
16 kB
Chapter 03 Series/003. Data Type Inference.mp4
37 MB
Chapter 03 Series/004. Attributes.en.srt
5.8 kB
Chapter 03 Series/004. Attributes.mp4
11 MB
Chapter 03 Series/005. Missing Values.en.srt
9.9 kB
Chapter 03 Series/005. Missing Values.mp4
21 MB
Chapter 03 Series/006. The alias Method.en.srt
6.3 kB
Chapter 03 Series/006. The alias Method.mp4
15 MB
Chapter 03 Series/007. Import a CSV File with the read csv Function.en.srt
17 kB
Chapter 03 Series/007. Import a CSV File with the read csv Function.mp4
39 MB
Chapter 03 Series/008. The head and tail Methods.en.srt
10 kB
Chapter 03 Series/008. The head and tail Methods.mp4
23 MB
Chapter 03 Series/009. Memory Optimization and the schema overrides Parameter.en.srt
18 kB
Chapter 03 Series/009. Memory Optimization and the schema overrides Parameter.mp4
43 MB
Chapter 03 Series/010. Sorting a Series.en.srt
10 kB
Chapter 03 Series/010. Sorting a Series.mp4
21 MB
Chapter 03 Series/011. Mathematical Methods.en.srt
10 kB
Chapter 03 Series/011. Mathematical Methods.mp4
22 MB
Chapter 03 Series/012. Rounding Methods.en.srt
6.0 kB
Chapter 03 Series/012. Rounding Methods.mp4
11 MB
Chapter 03 Series/013. How Polars Differs from Pandas.en.srt
20 kB
Chapter 03 Series/013. How Polars Differs from Pandas.mp4
48 MB
Chapter 04 DataFrames I/001. Intro to DataFrames.en.srt
4.7 kB
Chapter 04 DataFrames I/001. Intro to DataFrames.mp4
11 MB
Chapter 04 DataFrames I/002. Create a DataFrame from Scratch.en.srt
4.2 kB
Chapter 04 DataFrames I/002. Create a DataFrame from Scratch.mp4
9.0 MB
Chapter 04 DataFrames I/003. Read a DataFrame from CSV.en.srt
10 kB
Chapter 04 DataFrames I/003. Read a DataFrame from CSV.mp4
32 MB
Chapter 04 DataFrames I/004. No Index, No Problem.en.srt
6.3 kB
Chapter 04 DataFrames I/004. No Index, No Problem.mp4
19 MB
Chapter 04 DataFrames I/005. Intro to Expressions.en.srt
8.4 kB
Chapter 04 DataFrames I/005. Intro to Expressions.mp4
26 MB
Chapter 04 DataFrames I/006. The select Method I.en.srt
10 kB
Chapter 04 DataFrames I/006. The select Method I.mp4
24 MB
Chapter 04 DataFrames I/007. Renaming Columns.en.srt
14 kB
Chapter 04 DataFrames I/007. Renaming Columns.mp4
34 MB
Chapter 04 DataFrames I/008. The select Method II.en.srt
18 kB
Chapter 04 DataFrames I/008. The select Method II.mp4
40 MB
Chapter 04 DataFrames I/009. The select Method III - Targeting by Data Type.en.srt
6.4 kB
Chapter 04 DataFrames I/009. The select Method III - Targeting by Data Type.mp4
16 MB
Chapter 04 DataFrames I/010. Expressions as Building Blocks.en.srt
8.6 kB
Chapter 04 DataFrames I/010. Expressions as Building Blocks.mp4
19 MB
Chapter 04 DataFrames I/011. Expressions that Count Values.en.srt
12 kB
Chapter 04 DataFrames I/011. Expressions that Count Values.mp4
28 MB
Chapter 04 DataFrames I/012. Extracting One or More Rows.en.srt
9.4 kB
Chapter 04 DataFrames I/012. Extracting One or More Rows.mp4
25 MB
Chapter 04 DataFrames I/013. List Slicing Syntax.en.srt
9.8 kB
Chapter 04 DataFrames I/013. List Slicing Syntax.mp4
24 MB
Chapter 04 DataFrames I/014. Expressions that Target Row Values.en.srt
8.8 kB
Chapter 04 DataFrames I/014. Expressions that Target Row Values.mp4
20 MB
Chapter 04 DataFrames I/015. Extracting a Single Value from DataFrame with the item Method.en.srt
5.1 kB
Chapter 04 DataFrames I/015. Extracting a Single Value from DataFrame with the item Method.mp4
13 MB
Chapter 04 DataFrames I/016. Extracting Rows by Index Positions with the gather and gather every Methods.en.srt
5.9 kB
Chapter 04 DataFrames I/016. Extracting Rows by Index Positions with the gather and gather every Methods.mp4
16 MB
Chapter 04 DataFrames I/017. Extracting a Random Set of Values.en.srt
3.5 kB
Chapter 04 DataFrames I/017. Extracting a Random Set of Values.mp4
9.7 MB
Chapter 04 DataFrames I/018. Casting Columns to Different Types.en.srt
11 kB
Chapter 04 DataFrames I/018. Casting Columns to Different Types.mp4
21 MB
Chapter 04 DataFrames I/019. Customizing the DataFrame Schema.en.srt
9.2 kB
Chapter 04 DataFrames I/019. Customizing the DataFrame Schema.mp4
24 MB
Chapter 04 DataFrames I/020. Renaming Columns.en.srt
5.8 kB
Chapter 04 DataFrames I/020. Renaming Columns.mp4
16 MB
Chapter 04 DataFrames I/021. The name Attribute.en.srt
8.8 kB
Chapter 04 DataFrames I/021. The name Attribute.mp4
23 MB
Chapter 04 DataFrames I/022. Dropping Columns.en.srt
5.7 kB
Chapter 04 DataFrames I/022. Dropping Columns.mp4
13 MB
Chapter 04 DataFrames I/023. Replacing Values.en.srt
5.2 kB
Chapter 04 DataFrames I/023. Replacing Values.mp4
10 MB
Chapter 04 DataFrames I/024. Mathematical Operations I.en.srt
17 kB
Chapter 04 DataFrames I/024. Mathematical Operations I.mp4
43 MB
Chapter 04 DataFrames I/025. Mathematical Operations II.en.srt
5.9 kB
Chapter 04 DataFrames I/025. Mathematical Operations II.mp4
14 MB
Chapter 04 DataFrames I/026. Cumulative Mathematical Operations.en.srt
12 kB
Chapter 04 DataFrames I/026. Cumulative Mathematical Operations.mp4
26 MB
Chapter 04 DataFrames I/027. The with columns Method.en.srt
12 kB
Chapter 04 DataFrames I/027. The with columns Method.mp4
36 MB
Chapter 04 DataFrames I/028. The all and exclude Functions.en.srt
8.3 kB
Chapter 04 DataFrames I/028. The all and exclude Functions.mp4
22 MB
Chapter 05 DataFrames II/001. The fill null Method.en.srt
19 kB
Chapter 05 DataFrames II/001. The fill null Method.mp4
46 MB
Chapter 05 DataFrames II/002. Interpolation.en.srt
7.6 kB
Chapter 05 DataFrames II/002. Interpolation.mp4
18 MB
Chapter 05 DataFrames II/003. Dropping Missing Data.en.srt
17 kB
Chapter 05 DataFrames II/003. Dropping Missing Data.mp4
41 MB
Chapter 05 DataFrames II/004. Sorting by a Single Column.en.srt
19 kB
Chapter 05 DataFrames II/004. Sorting by a Single Column.mp4
51 MB
Chapter 05 DataFrames II/005. Sorting by Multiple Columns I.en.srt
11 kB
Chapter 05 DataFrames II/005. Sorting by Multiple Columns I.mp4
30 MB
Chapter 05 DataFrames II/006. Sorting by Multiple Columns II.en.srt
11 kB
Chapter 05 DataFrames II/006. Sorting by Multiple Columns II.mp4
33 MB
Chapter 05 DataFrames II/007. Characters vs Bytes.en.srt
15 kB
Chapter 05 DataFrames II/007. Characters vs Bytes.mp4
36 MB
Chapter 05 DataFrames II/008. Sorting based on Expressions.en.srt
12 kB
Chapter 05 DataFrames II/008. Sorting based on Expressions.mp4
30 MB
Chapter 05 DataFrames II/009. The top k and bottom k Methods.en.srt
6.2 kB
Chapter 05 DataFrames II/009. The top k and bottom k Methods.mp4
13 MB
Chapter 05 DataFrames II/010. The rank Method.en.srt
7.5 kB
Chapter 05 DataFrames II/010. The rank Method.mp4
22 MB
Chapter 05 DataFrames II/011. The shuffle Method.en.srt
7.7 kB
Chapter 05 DataFrames II/011. The shuffle Method.mp4
19 MB
Chapter 05 DataFrames II/012. Counting and Extracting Unique Values.en.srt
10 kB
Chapter 05 DataFrames II/012. Counting and Extracting Unique Values.mp4
26 MB
Chapter 05 DataFrames II/013. The value counts Method.en.srt
13 kB
Chapter 05 DataFrames II/013. The value counts Method.mp4
29 MB
Chapter 06 DataFrames III - Filtering/001. Introducing the Dataset.en.srt
6.5 kB
Chapter 06 DataFrames III - Filtering/001. Introducing the Dataset.mp4
17 MB
Chapter 06 DataFrames III - Filtering/002. The filter Method.en.srt
17 kB
Chapter 06 DataFrames III - Filtering/002. The filter Method.mp4
40 MB
Chapter 06 DataFrames III - Filtering/003. Filtering with Mathematical Operators.en.srt
9.0 kB
Chapter 06 DataFrames III - Filtering/003. Filtering with Mathematical Operators.mp4
25 MB
Chapter 06 DataFrames III - Filtering/004. Filtering with Missing Values.en.srt
14 kB
Chapter 06 DataFrames III - Filtering/004. Filtering with Missing Values.mp4
38 MB
Chapter 06 DataFrames III - Filtering/005. Filtering with Boolean Columns.en.srt
4.0 kB
Chapter 06 DataFrames III - Filtering/005. Filtering with Boolean Columns.mp4
12 MB
Chapter 06 DataFrames III - Filtering/006. Applying And Logic (Multiple Boolean Expressions).en.srt
20 kB
Chapter 06 DataFrames III - Filtering/006. Applying And Logic (Multiple Boolean Expressions).mp4
59 MB
Chapter 06 DataFrames III - Filtering/007. Keyword Argument Filtering.en.srt
5.3 kB
Chapter 06 DataFrames III - Filtering/007. Keyword Argument Filtering.mp4
15 MB
Chapter 06 DataFrames III - Filtering/008. Applying Or Logic.en.srt
9.7 kB
Chapter 06 DataFrames III - Filtering/008. Applying Or Logic.mp4
26 MB
Chapter 06 DataFrames III - Filtering/009. Operator Precedence.en.srt
8.7 kB
Chapter 06 DataFrames III - Filtering/009. Operator Precedence.mp4
24 MB
Chapter 06 DataFrames III - Filtering/010. Applying Exclusive OR (xor) Logic.en.srt
4.4 kB
Chapter 06 DataFrames III - Filtering/010. Applying Exclusive OR (xor) Logic.mp4
13 MB
Chapter 06 DataFrames III - Filtering/011. Filtering for Unique and Duplicate Values.en.srt
9.5 kB
Chapter 06 DataFrames III - Filtering/011. Filtering for Unique and Duplicate Values.mp4
27 MB
Chapter 06 DataFrames III - Filtering/012. Filtering with Datetimes.en.srt
15 kB
Chapter 06 DataFrames III - Filtering/012. Filtering with Datetimes.mp4
43 MB
Chapter 06 DataFrames III - Filtering/013. The is between Method.en.srt
11 kB
Chapter 06 DataFrames III - Filtering/013. The is between Method.mp4
32 MB
Chapter 06 DataFrames III - Filtering/014. The is in Method.en.srt
4.8 kB
Chapter 06 DataFrames III - Filtering/014. The is in Method.mp4
13 MB
Chapter 06 DataFrames III - Filtering/015. The remove Method.en.srt
9.7 kB
Chapter 06 DataFrames III - Filtering/015. The remove Method.mp4
29 MB
Chapter 06 DataFrames III - Filtering/016. Negation with Tilde Symbol.en.srt
12 kB
Chapter 06 DataFrames III - Filtering/016. Negation with Tilde Symbol.mp4
30 MB
Chapter 06 DataFrames III - Filtering/017. When, Then, Otherwise.en.srt
11 kB
Chapter 06 DataFrames III - Filtering/017. When, Then, Otherwise.mp4
33 MB
Chapter 06 DataFrames III - Filtering/018. Partitioning DataFrames.en.srt
16 kB
Chapter 06 DataFrames III - Filtering/018. Partitioning DataFrames.mp4
50 MB
Chapter 07 Joins/001. Introducing the Datasets.en.srt
9.1 kB
Chapter 07 Joins/001. Introducing the Datasets.mp4
21 MB
Chapter 07 Joins/002. Inner Joins.en.srt
21 kB
Chapter 07 Joins/002. Inner Joins.mp4
58 MB
Chapter 07 Joins/003. The on Parameter.en.srt
4.1 kB
Chapter 07 Joins/003. The on Parameter.mp4
11 MB
Chapter 07 Joins/004. Full Joins.en.srt
14 kB
Chapter 07 Joins/004. Full Joins.mp4
36 MB
Chapter 07 Joins/005. Left and Right Joins.en.srt
9.8 kB
Chapter 07 Joins/005. Left and Right Joins.mp4
25 MB
Chapter 07 Joins/006. Semi Join.en.srt
4.1 kB
Chapter 07 Joins/006. Semi Join.mp4
11 MB
Chapter 07 Joins/007. Anti Join.en.srt
3.7 kB
Chapter 07 Joins/007. Anti Join.mp4
9.7 MB
Chapter 07 Joins/008. Cross JoinsCartesian Products.en.srt
6.9 kB
Chapter 07 Joins/008. Cross JoinsCartesian Products.mp4
14 MB
Chapter 07 Joins/009. Joining on Multiple Columns.en.srt
14 kB
Chapter 07 Joins/009. Joining on Multiple Columns.mp4
34 MB
Chapter 07 Joins/010. The validate Parameter.en.srt
20 kB
Chapter 07 Joins/010. The validate Parameter.mp4
52 MB
Chapter 07 Joins/011. The join asof Method I.en.srt
17 kB
Chapter 07 Joins/011. The join asof Method I.mp4
48 MB
Chapter 07 Joins/012. The join asof Method II - Tolerance.en.srt
10 kB
Chapter 07 Joins/012. The join asof Method II - Tolerance.mp4
29 MB
Chapter 07 Joins/013. The join asof Method III - The by Parameter.en.srt
18 kB
Chapter 07 Joins/013. The join asof Method III - The by Parameter.mp4
51 MB
Chapter 08 Concatenation/001. Vertical Concatenation.en.srt
6.6 kB
Chapter 08 Concatenation/001. Vertical Concatenation.mp4
15 MB
Chapter 08 Concatenation/002. Horizontal Concatenation.en.srt
7.2 kB
Chapter 08 Concatenation/002. Horizontal Concatenation.mp4
16 MB
Chapter 08 Concatenation/003. Diagonal Concatenation.en.srt
5.5 kB
Chapter 08 Concatenation/003. Diagonal Concatenation.mp4
16 MB
Chapter 08 Concatenation/004. Align Concatenation.en.srt
14 kB
Chapter 08 Concatenation/004. Align Concatenation.mp4
37 MB
Chapter 08 Concatenation/005. Relaxed Concatenation.en.srt
14 kB
Chapter 08 Concatenation/005. Relaxed Concatenation.mp4
39 MB
Chapter 08 Concatenation/006. Rechunking.en.srt
16 kB
Chapter 08 Concatenation/006. Rechunking.mp4
66 MB
Chapter 08 Concatenation/007. The vstack Method.en.srt
18 kB
Chapter 08 Concatenation/007. The vstack Method.mp4
51 MB
Chapter 08 Concatenation/008. The extend Method.en.srt
12 kB
Chapter 08 Concatenation/008. The extend Method.mp4
29 MB
Chapter 08 Concatenation/009. The hstack Method.en.srt
4.3 kB
Chapter 08 Concatenation/009. The hstack Method.mp4
8.8 MB
Chapter 09 Reshaping/001. Wide vs. Long DataFrames.en.srt
9.0 kB
Chapter 09 Reshaping/001. Wide vs. Long DataFrames.mp4
24 MB
Chapter 09 Reshaping/002. The unpivot Method to Convert a Wide DataFrame to a Long DataFrame.en.srt
11 kB
Chapter 09 Reshaping/002. The unpivot Method to Convert a Wide DataFrame to a Long DataFrame.mp4
27 MB
Chapter 09 Reshaping/003. The pivot Method to Convert a Long DataFrame to a Wide DataFrame.en.srt
6.9 kB
Chapter 09 Reshaping/003. The pivot Method to Convert a Long DataFrame to a Wide DataFrame.mp4
16 MB
Chapter 09 Reshaping/004. Pivot Tables I.en.srt
11 kB
Chapter 09 Reshaping/004. Pivot Tables I.mp4
27 MB
Chapter 09 Reshaping/005. Pivot Tables II.en.srt
9.0 kB
Chapter 09 Reshaping/005. Pivot Tables II.mp4
18 MB
Chapter 09 Reshaping/006. The transpose Method.en.srt
5.4 kB
Chapter 09 Reshaping/006. The transpose Method.mp4
15 MB
Chapter 10 Arrays and Lists/001. Arrays and Lists.en.srt
14 kB
Chapter 10 Arrays and Lists/001. Arrays and Lists.mp4
35 MB
Chapter 10 Arrays and Lists/002. The str.split Method.en.srt
7.5 kB
Chapter 10 Arrays and Lists/002. The str.split Method.mp4
16 MB
Chapter 10 Arrays and Lists/003. The list Namespace.en.srt
9.4 kB
Chapter 10 Arrays and Lists/003. The list Namespace.mp4
20 MB
Chapter 10 Arrays and Lists/004. Sorting the Lists.en.srt
4.6 kB
Chapter 10 Arrays and Lists/004. Sorting the Lists.mp4
9.2 MB
Chapter 10 Arrays and Lists/005. The explode Method.en.srt
6.1 kB
Chapter 10 Arrays and Lists/005. The explode Method.mp4
13 MB
Chapter 10 Arrays and Lists/006. Exploding with Multiple Columns of Lists.en.srt
14 kB
Chapter 10 Arrays and Lists/006. Exploding with Multiple Columns of Lists.mp4
28 MB
Chapter 10 Arrays and Lists/007. Mathematical Operations.en.srt
8.4 kB
Chapter 10 Arrays and Lists/007. Mathematical Operations.mp4
21 MB
Chapter 10 Arrays and Lists/008. The list.eval, list.any, and list.all Methods.en.srt
14 kB
Chapter 10 Arrays and Lists/008. The list.eval, list.any, and list.all Methods.mp4
32 MB
Chapter 10 Arrays and Lists/009. Concatenating Column Values.en.srt
16 kB
Chapter 10 Arrays and Lists/009. Concatenating Column Values.mp4
35 MB
Chapter 10 Arrays and Lists/010. Arrays.en.srt
10 kB
Chapter 10 Arrays and Lists/010. Arrays.mp4
23 MB
Chapter 10 Arrays and Lists/011. The arr Attribute.en.srt
6.4 kB
Chapter 10 Arrays and Lists/011. The arr Attribute.mp4
16 MB
Chapter 11 Structs/001. Intro to Structs.en.srt
12 kB
Chapter 11 Structs/001. Intro to Structs.mp4
30 MB
Chapter 11 Structs/002. The struct.field and unnest Methods.en.srt
5.7 kB
Chapter 11 Structs/002. The struct.field and unnest Methods.mp4
14 MB
Chapter 11 Structs/003. The value counts Method.en.srt
10 kB
Chapter 11 Structs/003. The value counts Method.mp4
22 MB
Chapter 11 Structs/004. Rename Struct Fields.en.srt
5.5 kB
Chapter 11 Structs/004. Rename Struct Fields.mp4
9.9 MB
Chapter 11 Structs/005. Using Structs to Work with Nested Data.en.srt
29 kB
Chapter 11 Structs/005. Using Structs to Work with Nested Data.mp4
82 MB
Chapter 11 Structs/006. Using Structs to Identify Duplicates across Columns.en.srt
7.3 kB
Chapter 11 Structs/006. Using Structs to Identify Duplicates across Columns.mp4
22 MB
Chapter 12 Working with Text Data/001. Introducing the Dataset.en.srt
5.1 kB
Chapter 12 Working with Text Data/001. Introducing the Dataset.mp4
13 MB
Chapter 12 Working with Text Data/002. Case Conversion.en.srt
7.2 kB
Chapter 12 Working with Text Data/002. Case Conversion.mp4
20 MB
Chapter 12 Working with Text Data/003. Removing Whitespace.en.srt
8.6 kB
Chapter 12 Working with Text Data/003. Removing Whitespace.mp4
24 MB
Chapter 12 Working with Text Data/004. Removing Prefix and Suffix.en.srt
6.6 kB
Chapter 12 Working with Text Data/004. Removing Prefix and Suffix.mp4
18 MB
Chapter 12 Working with Text Data/005. Characters vs. Bytes.en.srt
14 kB
Chapter 12 Working with Text Data/005. Characters vs. Bytes.mp4
37 MB
Chapter 12 Working with Text Data/006. String Slicing.en.srt
8.8 kB
Chapter 12 Working with Text Data/006. String Slicing.mp4
20 MB
Chapter 12 Working with Text Data/007. Filtering Methods.en.srt
13 kB
Chapter 12 Working with Text Data/007. Filtering Methods.mp4
41 MB
Chapter 12 Working with Text Data/008. Regular Expressions.en.srt
13 kB
Chapter 12 Working with Text Data/008. Regular Expressions.mp4
35 MB
Chapter 12 Working with Text Data/009. Capture Groups.en.srt
17 kB
Chapter 12 Working with Text Data/009. Capture Groups.mp4
43 MB
Chapter 12 Working with Text Data/010. Replacing Values.en.srt
8.8 kB
Chapter 12 Working with Text Data/010. Replacing Values.mp4
23 MB
Chapter 12 Working with Text Data/011. Find Longest Employee Names.en.srt
15 kB
Chapter 12 Working with Text Data/011. Find Longest Employee Names.mp4
36 MB
Chapter 13 Categoricals and Enums/001. Categorical Data.en.srt
15 kB
Chapter 13 Categoricals and Enums/001. Categorical Data.mp4
38 MB
Chapter 13 Categoricals and Enums/002. The cat Namespace.en.srt
5.5 kB
Chapter 13 Categoricals and Enums/002. The cat Namespace.mp4
13 MB
Chapter 13 Categoricals and Enums/003. Enums.en.srt
14 kB
Chapter 13 Categoricals and Enums/003. Enums.mp4
31 MB
Chapter 13 Categoricals and Enums/004. Enums, Categoricals, and Sorting.en.srt
10 kB
Chapter 13 Categoricals and Enums/004. Enums, Categoricals, and Sorting.mp4
26 MB
Chapter 14 Working with Datetimes/001. Import a Dataset with Datetimes.en.srt
12 kB
Chapter 14 Working with Datetimes/001. Import a Dataset with Datetimes.mp4
31 MB
Chapter 14 Working with Datetimes/002. Parse Datetimes with the strptime Method.en.srt
16 kB
Chapter 14 Working with Datetimes/002. Parse Datetimes with the strptime Method.mp4
46 MB
Chapter 14 Working with Datetimes/003. Parse Dates and Times.en.srt
8.2 kB
Chapter 14 Working with Datetimes/003. Parse Dates and Times.mp4
22 MB
Chapter 14 Working with Datetimes/004. Converting from Date to String.en.srt
10 kB
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Chapter 14 Working with Datetimes/005. Extracting Datetime Components.en.srt
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Chapter 14 Working with Datetimes/006. Filtering by Date, Time, and Datetime.en.srt
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Chapter 14 Working with Datetimes/007. Adding and Subtracting Time I.en.srt
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Chapter 14 Working with Datetimes/011. Timezones II - Conversions.en.srt
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Chapter 15 Selectors/001. A Review of Targeting Strategies.en.srt
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Chapter 15 Selectors/002. Introducing Selectors.en.srt
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Chapter 16 GroupBy/009. Window Functions and the over Method.en.srt
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Chapter 17 LazyFrames/001. LazyFrames and Eager vs. Lazy Evaluation.en.srt
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