Resource Detail

Go Back Return to Home
Data Analysis with Polars and Python
Size 5.4 GB
Files 521
Info Hash: 1B73957A04B3D2AF91FDDF4ADC1EC986CA0CCE8D
Indexed 2026-02-15 16:06:26
Updated 2026-06-08 13:27:00
📂 File List (521)
🎬
Chapter 01 Introduction/001. Welcome to Polars.mp4
90.56 MB
💬
Chapter 01 Introduction/001. Welcome to Polars.en.srt
13.42 KB
💬
Chapter 01 Introduction/002. [macOS] Intro to Terminal.en.srt
11.33 KB
🎬
Chapter 01 Introduction/002. [macOS] Intro to Terminal.mp4
56.19 MB
💬
Chapter 01 Introduction/003. [macOS] Install uv, a Python package and project manager.en.srt
8.39 KB
🎬
Chapter 01 Introduction/003. [macOS] Install uv, a Python package and project manager.mp4
20.1 MB
💬
Chapter 01 Introduction/004. [macOS] Download Course Materials and Setup Project.en.srt
5.29 KB
🎬
Chapter 01 Introduction/004. [macOS] Download Course Materials and Setup Project.mp4
12.63 MB
💬
Chapter 01 Introduction/005. [Windows] Intro to PowerShell.en.srt
12.47 KB
🎬
Chapter 01 Introduction/005. [Windows] Intro to PowerShell.mp4
30.63 MB
💬
Chapter 01 Introduction/006. [Windows] Install uv, a Python package and project manager.en.srt
6.87 KB
🎬
Chapter 01 Introduction/006. [Windows] Install uv, a Python package and project manager.mp4
17.23 MB
💬
Chapter 01 Introduction/007. [Windows] Download Course Materials and Setup Project.en.srt
8.15 KB
🎬
Chapter 01 Introduction/007. [Windows] Download Course Materials and Setup Project.mp4
17.99 MB
💬
Chapter 01 Introduction/008. Jupyter Lab Startup and Shutdown.en.srt
12.62 KB
🎬
Chapter 01 Introduction/008. Jupyter Lab Startup and Shutdown.mp4
31.41 MB
💬
Chapter 01 Introduction/009. Intro to Jupyter Lab.en.srt
20.71 KB
🎬
Chapter 01 Introduction/009. Intro to Jupyter Lab.mp4
43.8 MB
💬
Chapter 01 Introduction/010. Setting Up Ruff Formatter in Jupyter Lab.en.srt
3.52 KB
🎬
Chapter 01 Introduction/010. Setting Up Ruff Formatter in Jupyter Lab.mp4
5.63 MB
💬
Chapter 01 Introduction/011. Import Libraries into Jupyter Lab.en.srt
6.33 KB
🎬
Chapter 01 Introduction/011. Import Libraries into Jupyter Lab.mp4
13.15 MB
💬
Chapter 02 Python Crash Course/001. Comments.en.srt
10.75 KB
🎬
Chapter 02 Python Crash Course/001. Comments.mp4
19.08 MB
💬
Chapter 02 Python Crash Course/002. Data Types.en.srt
15.75 KB
🎬
Chapter 02 Python Crash Course/002. Data Types.mp4
29.32 MB
💬
Chapter 02 Python Crash Course/003. Operators.en.srt
19.3 KB
🎬
Chapter 02 Python Crash Course/003. Operators.mp4
38.47 MB
💬
Chapter 02 Python Crash Course/004. Equality and Inequality Operators.en.srt
14.38 KB
🎬
Chapter 02 Python Crash Course/004. Equality and Inequality Operators.mp4
27.4 MB
💬
Chapter 02 Python Crash Course/005. Variables.en.srt
10.61 KB
🎬
Chapter 02 Python Crash Course/005. Variables.mp4
21.1 MB
💬
Chapter 02 Python Crash Course/006. Built-In Functions.en.srt
19.09 KB
🎬
Chapter 02 Python Crash Course/006. Built-In Functions.mp4
52.92 MB
💬
Chapter 02 Python Crash Course/007. Custom Functions.en.srt
24.96 KB
🎬
Chapter 02 Python Crash Course/007. Custom Functions.mp4
61.2 MB
💬
Chapter 02 Python Crash Course/008. String Methods.en.srt
29.29 KB
🎬
Chapter 02 Python Crash Course/008. String Methods.mp4
67.24 MB
💬
Chapter 02 Python Crash Course/009. Lists.en.srt
20.57 KB
🎬
Chapter 02 Python Crash Course/009. Lists.mp4
39.65 MB
💬
Chapter 02 Python Crash Course/010. Index Positions and Slicing.en.srt
27.39 KB
🎬
Chapter 02 Python Crash Course/010. Index Positions and Slicing.mp4
53 MB
💬
Chapter 02 Python Crash Course/011. Tuples.en.srt
12.22 KB
🎬
Chapter 02 Python Crash Course/011. Tuples.mp4
22.05 MB
💬
Chapter 02 Python Crash Course/012. Dictionaries.en.srt
20.89 KB
🎬
Chapter 02 Python Crash Course/012. Dictionaries.mp4
43.68 MB
💬
Chapter 02 Python Crash Course/013. Classes and Objects.en.srt
9.65 KB
🎬
Chapter 02 Python Crash Course/013. Classes and Objects.mp4
27.37 MB
💬
Chapter 02 Python Crash Course/014. Importing Modules.en.srt
17.32 KB
🎬
Chapter 02 Python Crash Course/014. Importing Modules.mp4
42.51 MB
💬
Chapter 02 Python Crash Course/015. Importing Libraries.en.srt
5.04 KB
🎬
Chapter 02 Python Crash Course/015. Importing Libraries.mp4
11.34 MB
💬
Chapter 02 Python Crash Course/016. Unsigned and Signed Integers.en.srt
16.91 KB
🎬
Chapter 02 Python Crash Course/016. Unsigned and Signed Integers.mp4
73.5 MB
💬
Chapter 03 Series/001. Import the Polars Series.en.srt
8.18 KB
🎬
Chapter 03 Series/001. Import the Polars Series.mp4
18.08 MB
💬
Chapter 03 Series/002. Create a Series.en.srt
16.41 KB
🎬
Chapter 03 Series/002. Create a Series.mp4
36.97 MB
💬
Chapter 03 Series/003. Data Type Inference.en.srt
15.64 KB
🎬
Chapter 03 Series/003. Data Type Inference.mp4
36.88 MB
💬
Chapter 03 Series/004. Attributes.en.srt
5.78 KB
🎬
Chapter 03 Series/004. Attributes.mp4
11.14 MB
💬
Chapter 03 Series/005. Missing Values.en.srt
9.94 KB
🎬
Chapter 03 Series/005. Missing Values.mp4
21.22 MB
💬
Chapter 03 Series/006. The alias Method.en.srt
6.35 KB
🎬
Chapter 03 Series/006. The alias Method.mp4
14.56 MB
💬
Chapter 03 Series/007. Import a CSV File with the read csv Function.en.srt
17.32 KB
🎬
Chapter 03 Series/007. Import a CSV File with the read csv Function.mp4
39.37 MB
💬
Chapter 03 Series/008. The head and tail Methods.en.srt
10.37 KB
🎬
Chapter 03 Series/008. The head and tail Methods.mp4
22.81 MB
💬
Chapter 03 Series/009. Memory Optimization and the schema overrides Parameter.en.srt
17.65 KB
🎬
Chapter 03 Series/009. Memory Optimization and the schema overrides Parameter.mp4
42.73 MB
💬
Chapter 03 Series/010. Sorting a Series.en.srt
9.97 KB
🎬
Chapter 03 Series/010. Sorting a Series.mp4
21.3 MB
💬
Chapter 03 Series/011. Mathematical Methods.en.srt
10.19 KB
🎬
Chapter 03 Series/011. Mathematical Methods.mp4
21.58 MB
💬
Chapter 03 Series/012. Rounding Methods.en.srt
6 KB
🎬
Chapter 03 Series/012. Rounding Methods.mp4
10.78 MB
💬
Chapter 03 Series/013. How Polars Differs from Pandas.en.srt
19.64 KB
🎬
Chapter 03 Series/013. How Polars Differs from Pandas.mp4
48.43 MB
💬
Chapter 04 DataFrames I/001. Intro to DataFrames.en.srt
4.67 KB
🎬
Chapter 04 DataFrames I/001. Intro to DataFrames.mp4
10.76 MB
💬
Chapter 04 DataFrames I/002. Create a DataFrame from Scratch.en.srt
4.17 KB
🎬
Chapter 04 DataFrames I/002. Create a DataFrame from Scratch.mp4
9.02 MB
💬
Chapter 04 DataFrames I/003. Read a DataFrame from CSV.en.srt
10.53 KB
🎬
Chapter 04 DataFrames I/003. Read a DataFrame from CSV.mp4
31.62 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
19.21 MB
💬
Chapter 04 DataFrames I/005. Intro to Expressions.en.srt
8.43 KB
🎬
Chapter 04 DataFrames I/005. Intro to Expressions.mp4
25.72 MB
💬
Chapter 04 DataFrames I/006. The select Method I.en.srt
10.49 KB
🎬
Chapter 04 DataFrames I/006. The select Method I.mp4
23.74 MB
💬
Chapter 04 DataFrames I/007. Renaming Columns.en.srt
13.65 KB
🎬
Chapter 04 DataFrames I/007. Renaming Columns.mp4
33.76 MB
💬
Chapter 04 DataFrames I/008. The select Method II.en.srt
17.82 KB
🎬
Chapter 04 DataFrames I/008. The select Method II.mp4
40.55 MB
💬
Chapter 04 DataFrames I/009. The select Method III - Targeting by Data Type.en.srt
6.41 KB
🎬
Chapter 04 DataFrames I/009. The select Method III - Targeting by Data Type.mp4
15.68 MB
💬
Chapter 04 DataFrames I/010. Expressions as Building Blocks.en.srt
8.64 KB
🎬
Chapter 04 DataFrames I/010. Expressions as Building Blocks.mp4
18.65 MB
💬
Chapter 04 DataFrames I/011. Expressions that Count Values.en.srt
11.78 KB
🎬
Chapter 04 DataFrames I/011. Expressions that Count Values.mp4
27.88 MB
💬
Chapter 04 DataFrames I/012. Extracting One or More Rows.en.srt
9.42 KB
🎬
Chapter 04 DataFrames I/012. Extracting One or More Rows.mp4
24.63 MB
💬
Chapter 04 DataFrames I/013. List Slicing Syntax.en.srt
9.78 KB
🎬
Chapter 04 DataFrames I/013. List Slicing Syntax.mp4
23.76 MB
💬
Chapter 04 DataFrames I/014. Expressions that Target Row Values.en.srt
8.79 KB
🎬
Chapter 04 DataFrames I/014. Expressions that Target Row Values.mp4
20.42 MB
💬
Chapter 04 DataFrames I/015. Extracting a Single Value from DataFrame with the item Method.en.srt
5.08 KB
🎬
Chapter 04 DataFrames I/015. Extracting a Single Value from DataFrame with the item Method.mp4
13.09 MB
💬
Chapter 04 DataFrames I/016. Extracting Rows by Index Positions with the gather and gather every Methods.en.srt
5.89 KB
🎬
Chapter 04 DataFrames I/016. Extracting Rows by Index Positions with the gather and gather every Methods.mp4
16.29 MB
💬
Chapter 04 DataFrames I/017. Extracting a Random Set of Values.en.srt
3.54 KB
🎬
Chapter 04 DataFrames I/017. Extracting a Random Set of Values.mp4
9.73 MB
💬
Chapter 04 DataFrames I/018. Casting Columns to Different Types.en.srt
10.58 KB
🎬
Chapter 04 DataFrames I/018. Casting Columns to Different Types.mp4
21.2 MB
💬
Chapter 04 DataFrames I/019. Customizing the DataFrame Schema.en.srt
9.24 KB
🎬
Chapter 04 DataFrames I/019. Customizing the DataFrame Schema.mp4
24.15 MB
💬
Chapter 04 DataFrames I/020. Renaming Columns.en.srt
5.82 KB
🎬
Chapter 04 DataFrames I/020. Renaming Columns.mp4
15.85 MB
💬
Chapter 04 DataFrames I/021. The name Attribute.en.srt
8.81 KB
🎬
Chapter 04 DataFrames I/021. The name Attribute.mp4
22.63 MB
💬
Chapter 04 DataFrames I/022. Dropping Columns.en.srt
5.67 KB
🎬
Chapter 04 DataFrames I/022. Dropping Columns.mp4
13.32 MB
💬
Chapter 04 DataFrames I/023. Replacing Values.en.srt
5.16 KB
🎬
Chapter 04 DataFrames I/023. Replacing Values.mp4
10.15 MB
💬
Chapter 04 DataFrames I/024. Mathematical Operations I.en.srt
17.15 KB
🎬
Chapter 04 DataFrames I/024. Mathematical Operations I.mp4
42.61 MB
💬
Chapter 04 DataFrames I/025. Mathematical Operations II.en.srt
5.9 KB
🎬
Chapter 04 DataFrames I/025. Mathematical Operations II.mp4
14.25 MB
💬
Chapter 04 DataFrames I/026. Cumulative Mathematical Operations.en.srt
11.79 KB
🎬
Chapter 04 DataFrames I/026. Cumulative Mathematical Operations.mp4
26.2 MB
💬
Chapter 04 DataFrames I/027. The with columns Method.en.srt
12.15 KB
🎬
Chapter 04 DataFrames I/027. The with columns Method.mp4
36.2 MB
💬
Chapter 04 DataFrames I/028. The all and exclude Functions.en.srt
8.26 KB
🎬
Chapter 04 DataFrames I/028. The all and exclude Functions.mp4
21.87 MB
💬
Chapter 05 DataFrames II/001. The fill null Method.en.srt
19.28 KB
🎬
Chapter 05 DataFrames II/001. The fill null Method.mp4
46.02 MB
💬
Chapter 05 DataFrames II/002. Interpolation.en.srt
7.61 KB
🎬
Chapter 05 DataFrames II/002. Interpolation.mp4
18.07 MB
💬
Chapter 05 DataFrames II/003. Dropping Missing Data.en.srt
16.56 KB
🎬
Chapter 05 DataFrames II/003. Dropping Missing Data.mp4
41.09 MB
💬
Chapter 05 DataFrames II/004. Sorting by a Single Column.en.srt
18.55 KB
🎬
Chapter 05 DataFrames II/004. Sorting by a Single Column.mp4
51.06 MB
💬
Chapter 05 DataFrames II/005. Sorting by Multiple Columns I.en.srt
10.92 KB
🎬
Chapter 05 DataFrames II/005. Sorting by Multiple Columns I.mp4
29.9 MB
💬
Chapter 05 DataFrames II/006. Sorting by Multiple Columns II.en.srt
11.16 KB
🎬
Chapter 05 DataFrames II/006. Sorting by Multiple Columns II.mp4
33.23 MB
💬
Chapter 05 DataFrames II/007. Characters vs Bytes.en.srt
15.24 KB
🎬
Chapter 05 DataFrames II/007. Characters vs Bytes.mp4
35.56 MB
💬
Chapter 05 DataFrames II/008. Sorting based on Expressions.en.srt
11.84 KB
🎬
Chapter 05 DataFrames II/008. Sorting based on Expressions.mp4
29.56 MB
💬
Chapter 05 DataFrames II/009. The top k and bottom k Methods.en.srt
6.24 KB
🎬
Chapter 05 DataFrames II/009. The top k and bottom k Methods.mp4
13.34 MB
💬
Chapter 05 DataFrames II/010. The rank Method.en.srt
7.49 KB
🎬
Chapter 05 DataFrames II/010. The rank Method.mp4
22.1 MB
💬
Chapter 05 DataFrames II/011. The shuffle Method.en.srt
7.71 KB
🎬
Chapter 05 DataFrames II/011. The shuffle Method.mp4
19.22 MB
💬
Chapter 05 DataFrames II/012. Counting and Extracting Unique Values.en.srt
10.33 KB
🎬
Chapter 05 DataFrames II/012. Counting and Extracting Unique Values.mp4
25.84 MB
💬
Chapter 05 DataFrames II/013. The value counts Method.en.srt
12.87 KB
🎬
Chapter 05 DataFrames II/013. The value counts Method.mp4
28.69 MB
💬
Chapter 06 DataFrames III - Filtering/001. Introducing the Dataset.en.srt
6.53 KB
🎬
Chapter 06 DataFrames III - Filtering/001. Introducing the Dataset.mp4
16.98 MB
💬
Chapter 06 DataFrames III - Filtering/002. The filter Method.en.srt
16.76 KB
🎬
Chapter 06 DataFrames III - Filtering/002. The filter Method.mp4
39.59 MB
💬
Chapter 06 DataFrames III - Filtering/003. Filtering with Mathematical Operators.en.srt
9.05 KB
🎬
Chapter 06 DataFrames III - Filtering/003. Filtering with Mathematical Operators.mp4
24.88 MB
💬
Chapter 06 DataFrames III - Filtering/004. Filtering with Missing Values.en.srt
13.67 KB
🎬
Chapter 06 DataFrames III - Filtering/004. Filtering with Missing Values.mp4
38.11 MB
💬
Chapter 06 DataFrames III - Filtering/005. Filtering with Boolean Columns.en.srt
4 KB
🎬
Chapter 06 DataFrames III - Filtering/005. Filtering with Boolean Columns.mp4
11.64 MB
💬
Chapter 06 DataFrames III - Filtering/006. Applying And Logic (Multiple Boolean Expressions).en.srt
20.29 KB
🎬
Chapter 06 DataFrames III - Filtering/006. Applying And Logic (Multiple Boolean Expressions).mp4
58.94 MB
💬
Chapter 06 DataFrames III - Filtering/007. Keyword Argument Filtering.en.srt
5.32 KB
🎬
Chapter 06 DataFrames III - Filtering/007. Keyword Argument Filtering.mp4
15.28 MB
💬
Chapter 06 DataFrames III - Filtering/008. Applying Or Logic.en.srt
9.67 KB
🎬
Chapter 06 DataFrames III - Filtering/008. Applying Or Logic.mp4
26.51 MB
💬
Chapter 06 DataFrames III - Filtering/009. Operator Precedence.en.srt
8.74 KB
🎬
Chapter 06 DataFrames III - Filtering/009. Operator Precedence.mp4
24.21 MB
💬
Chapter 06 DataFrames III - Filtering/010. Applying Exclusive OR (xor) Logic.en.srt
4.42 KB
🎬
Chapter 06 DataFrames III - Filtering/010. Applying Exclusive OR (xor) Logic.mp4
12.77 MB
💬
Chapter 06 DataFrames III - Filtering/011. Filtering for Unique and Duplicate Values.en.srt
9.46 KB
🎬
Chapter 06 DataFrames III - Filtering/011. Filtering for Unique and Duplicate Values.mp4
27.27 MB
💬
Chapter 06 DataFrames III - Filtering/012. Filtering with Datetimes.en.srt
14.68 KB
🎬
Chapter 06 DataFrames III - Filtering/012. Filtering with Datetimes.mp4
42.84 MB
💬
Chapter 06 DataFrames III - Filtering/013. The is between Method.en.srt
11.03 KB
🎬
Chapter 06 DataFrames III - Filtering/013. The is between Method.mp4
32.54 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
13.15 MB
💬
Chapter 06 DataFrames III - Filtering/015. The remove Method.en.srt
9.66 KB
🎬
Chapter 06 DataFrames III - Filtering/015. The remove Method.mp4
29.31 MB
💬
Chapter 06 DataFrames III - Filtering/016. Negation with Tilde Symbol.en.srt
11.63 KB
🎬
Chapter 06 DataFrames III - Filtering/016. Negation with Tilde Symbol.mp4
30.39 MB
💬
Chapter 06 DataFrames III - Filtering/017. When, Then, Otherwise.en.srt
11.45 KB
🎬
Chapter 06 DataFrames III - Filtering/017. When, Then, Otherwise.mp4
33.33 MB
💬
Chapter 06 DataFrames III - Filtering/018. Partitioning DataFrames.en.srt
15.74 KB
🎬
Chapter 06 DataFrames III - Filtering/018. Partitioning DataFrames.mp4
50.12 MB
💬
Chapter 07 Joins/001. Introducing the Datasets.en.srt
9.12 KB
🎬
Chapter 07 Joins/001. Introducing the Datasets.mp4
20.94 MB
💬
Chapter 07 Joins/002. Inner Joins.en.srt
20.72 KB
🎬
Chapter 07 Joins/002. Inner Joins.mp4
58.2 MB
💬
Chapter 07 Joins/003. The on Parameter.en.srt
4.1 KB
🎬
Chapter 07 Joins/003. The on Parameter.mp4
10.75 MB
💬
Chapter 07 Joins/004. Full Joins.en.srt
14 KB
🎬
Chapter 07 Joins/004. Full Joins.mp4
36.11 MB
💬
Chapter 07 Joins/005. Left and Right Joins.en.srt
9.82 KB
🎬
Chapter 07 Joins/005. Left and Right Joins.mp4
24.73 MB
💬
Chapter 07 Joins/006. Semi Join.en.srt
4.13 KB
🎬
Chapter 07 Joins/006. Semi Join.mp4
10.59 MB
💬
Chapter 07 Joins/007. Anti Join.en.srt
3.66 KB
🎬
Chapter 07 Joins/007. Anti Join.mp4
9.69 MB
💬
Chapter 07 Joins/008. Cross JoinsCartesian Products.en.srt
6.94 KB
🎬
Chapter 07 Joins/008. Cross JoinsCartesian Products.mp4
14.21 MB
💬
Chapter 07 Joins/009. Joining on Multiple Columns.en.srt
13.71 KB
🎬
Chapter 07 Joins/009. Joining on Multiple Columns.mp4
33.69 MB
💬
Chapter 07 Joins/010. The validate Parameter.en.srt
20.45 KB
🎬
Chapter 07 Joins/010. The validate Parameter.mp4
52.01 MB
💬
Chapter 07 Joins/011. The join asof Method I.en.srt
17.01 KB
🎬
Chapter 07 Joins/011. The join asof Method I.mp4
47.64 MB
💬
Chapter 07 Joins/012. The join asof Method II - Tolerance.en.srt
9.98 KB
🎬
Chapter 07 Joins/012. The join asof Method II - Tolerance.mp4
29.27 MB
💬
Chapter 07 Joins/013. The join asof Method III - The by Parameter.en.srt
18.25 KB
🎬
Chapter 07 Joins/013. The join asof Method III - The by Parameter.mp4
50.6 MB
💬
Chapter 08 Concatenation/001. Vertical Concatenation.en.srt
6.56 KB
🎬
Chapter 08 Concatenation/001. Vertical Concatenation.mp4
15.12 MB
💬
Chapter 08 Concatenation/002. Horizontal Concatenation.en.srt
7.15 KB
🎬
Chapter 08 Concatenation/002. Horizontal Concatenation.mp4
16.43 MB
💬
Chapter 08 Concatenation/003. Diagonal Concatenation.en.srt
5.46 KB
🎬
Chapter 08 Concatenation/003. Diagonal Concatenation.mp4
15.59 MB
💬
Chapter 08 Concatenation/004. Align Concatenation.en.srt
14.14 KB
🎬
Chapter 08 Concatenation/004. Align Concatenation.mp4
37.39 MB
💬
Chapter 08 Concatenation/005. Relaxed Concatenation.en.srt
14.33 KB
🎬
Chapter 08 Concatenation/005. Relaxed Concatenation.mp4
39.33 MB
💬
Chapter 08 Concatenation/006. Rechunking.en.srt
16.23 KB
🎬
Chapter 08 Concatenation/006. Rechunking.mp4
66.27 MB
💬
Chapter 08 Concatenation/007. The vstack Method.en.srt
18.34 KB
🎬
Chapter 08 Concatenation/007. The vstack Method.mp4
51.16 MB
💬
Chapter 08 Concatenation/008. The extend Method.en.srt
11.62 KB
🎬
Chapter 08 Concatenation/008. The extend Method.mp4
29.15 MB
💬
Chapter 08 Concatenation/009. The hstack Method.en.srt
4.25 KB
🎬
Chapter 08 Concatenation/009. The hstack Method.mp4
8.79 MB
💬
Chapter 09 Reshaping/001. Wide vs. Long DataFrames.en.srt
8.99 KB
🎬
Chapter 09 Reshaping/001. Wide vs. Long DataFrames.mp4
23.53 MB
💬
Chapter 09 Reshaping/002. The unpivot Method to Convert a Wide DataFrame to a Long DataFrame.en.srt
10.83 KB
🎬
Chapter 09 Reshaping/002. The unpivot Method to Convert a Wide DataFrame to a Long DataFrame.mp4
26.65 MB
💬
Chapter 09 Reshaping/003. The pivot Method to Convert a Long DataFrame to a Wide DataFrame.en.srt
6.91 KB
🎬
Chapter 09 Reshaping/003. The pivot Method to Convert a Long DataFrame to a Wide DataFrame.mp4
16.47 MB
💬
Chapter 09 Reshaping/004. Pivot Tables I.en.srt
10.96 KB
🎬
Chapter 09 Reshaping/004. Pivot Tables I.mp4
27.41 MB
💬
Chapter 09 Reshaping/005. Pivot Tables II.en.srt
8.98 KB
🎬
Chapter 09 Reshaping/005. Pivot Tables II.mp4
17.72 MB
💬
Chapter 09 Reshaping/006. The transpose Method.en.srt
5.37 KB
🎬
Chapter 09 Reshaping/006. The transpose Method.mp4
14.69 MB
💬
Chapter 10 Arrays and Lists/001. Arrays and Lists.en.srt
13.66 KB
🎬
Chapter 10 Arrays and Lists/001. Arrays and Lists.mp4
35.05 MB
💬
Chapter 10 Arrays and Lists/002. The str.split Method.en.srt
7.51 KB
🎬
Chapter 10 Arrays and Lists/002. The str.split Method.mp4
16.2 MB
💬
Chapter 10 Arrays and Lists/003. The list Namespace.en.srt
9.44 KB
🎬
Chapter 10 Arrays and Lists/003. The list Namespace.mp4
20.32 MB
💬
Chapter 10 Arrays and Lists/004. Sorting the Lists.en.srt
4.55 KB
🎬
Chapter 10 Arrays and Lists/004. Sorting the Lists.mp4
9.17 MB
💬
Chapter 10 Arrays and Lists/005. The explode Method.en.srt
6.07 KB
🎬
Chapter 10 Arrays and Lists/005. The explode Method.mp4
12.57 MB
💬
Chapter 10 Arrays and Lists/006. Exploding with Multiple Columns of Lists.en.srt
13.9 KB
🎬
Chapter 10 Arrays and Lists/006. Exploding with Multiple Columns of Lists.mp4
28.1 MB
💬
Chapter 10 Arrays and Lists/007. Mathematical Operations.en.srt
8.43 KB
🎬
Chapter 10 Arrays and Lists/007. Mathematical Operations.mp4
20.91 MB
💬
Chapter 10 Arrays and Lists/008. The list.eval, list.any, and list.all Methods.en.srt
13.9 KB
🎬
Chapter 10 Arrays and Lists/008. The list.eval, list.any, and list.all Methods.mp4
31.79 MB
💬
Chapter 10 Arrays and Lists/009. Concatenating Column Values.en.srt
16.31 KB
🎬
Chapter 10 Arrays and Lists/009. Concatenating Column Values.mp4
35.17 MB
💬
Chapter 10 Arrays and Lists/010. Arrays.en.srt
10.27 KB
🎬
Chapter 10 Arrays and Lists/010. Arrays.mp4
23.18 MB
💬
Chapter 10 Arrays and Lists/011. The arr Attribute.en.srt
6.41 KB
🎬
Chapter 10 Arrays and Lists/011. The arr Attribute.mp4
15.61 MB
💬
Chapter 11 Structs/001. Intro to Structs.en.srt
11.71 KB
🎬
Chapter 11 Structs/001. Intro to Structs.mp4
30.24 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
13.76 MB
💬
Chapter 11 Structs/003. The value counts Method.en.srt
10.15 KB
🎬
Chapter 11 Structs/003. The value counts Method.mp4
22.27 MB
💬
Chapter 11 Structs/004. Rename Struct Fields.en.srt
5.46 KB
🎬
Chapter 11 Structs/004. Rename Struct Fields.mp4
9.89 MB
💬
Chapter 11 Structs/005. Using Structs to Work with Nested Data.en.srt
28.69 KB
🎬
Chapter 11 Structs/005. Using Structs to Work with Nested Data.mp4
82.41 MB
💬
Chapter 11 Structs/006. Using Structs to Identify Duplicates across Columns.en.srt
7.32 KB
🎬
Chapter 11 Structs/006. Using Structs to Identify Duplicates across Columns.mp4
21.8 MB
💬
Chapter 12 Working with Text Data/001. Introducing the Dataset.en.srt
5.08 KB
🎬
Chapter 12 Working with Text Data/001. Introducing the Dataset.mp4
13.05 MB
💬
Chapter 12 Working with Text Data/002. Case Conversion.en.srt
7.18 KB
🎬
Chapter 12 Working with Text Data/002. Case Conversion.mp4
19.69 MB
💬
Chapter 12 Working with Text Data/003. Removing Whitespace.en.srt
8.61 KB
🎬
Chapter 12 Working with Text Data/003. Removing Whitespace.mp4
23.55 MB
💬
Chapter 12 Working with Text Data/004. Removing Prefix and Suffix.en.srt
6.55 KB
🎬
Chapter 12 Working with Text Data/004. Removing Prefix and Suffix.mp4
18.41 MB
💬
Chapter 12 Working with Text Data/005. Characters vs. Bytes.en.srt
14.14 KB
🎬
Chapter 12 Working with Text Data/005. Characters vs. Bytes.mp4
36.72 MB
💬
Chapter 12 Working with Text Data/006. String Slicing.en.srt
8.78 KB
🎬
Chapter 12 Working with Text Data/006. String Slicing.mp4
20.26 MB
💬
Chapter 12 Working with Text Data/007. Filtering Methods.en.srt
13.04 KB
🎬
Chapter 12 Working with Text Data/007. Filtering Methods.mp4
41.08 MB
💬
Chapter 12 Working with Text Data/008. Regular Expressions.en.srt
12.56 KB
🎬
Chapter 12 Working with Text Data/008. Regular Expressions.mp4
34.95 MB
💬
Chapter 12 Working with Text Data/009. Capture Groups.en.srt
16.86 KB
🎬
Chapter 12 Working with Text Data/009. Capture Groups.mp4
42.89 MB
💬
Chapter 12 Working with Text Data/010. Replacing Values.en.srt
8.81 KB
🎬
Chapter 12 Working with Text Data/010. Replacing Values.mp4
23.14 MB
💬
Chapter 12 Working with Text Data/011. Find Longest Employee Names.en.srt
14.6 KB
🎬
Chapter 12 Working with Text Data/011. Find Longest Employee Names.mp4
36.5 MB
💬
Chapter 13 Categoricals and Enums/001. Categorical Data.en.srt
14.63 KB
🎬
Chapter 13 Categoricals and Enums/001. Categorical Data.mp4
37.93 MB
💬
Chapter 13 Categoricals and Enums/002. The cat Namespace.en.srt
5.48 KB
🎬
Chapter 13 Categoricals and Enums/002. The cat Namespace.mp4
13.44 MB
💬
Chapter 13 Categoricals and Enums/003. Enums.en.srt
14.12 KB
🎬
Chapter 13 Categoricals and Enums/003. Enums.mp4
31.39 MB
💬
Chapter 13 Categoricals and Enums/004. Enums, Categoricals, and Sorting.en.srt
10.52 KB
🎬
Chapter 13 Categoricals and Enums/004. Enums, Categoricals, and Sorting.mp4
26.48 MB
💬
Chapter 14 Working with Datetimes/001. Import a Dataset with Datetimes.en.srt
12.14 KB
🎬
Chapter 14 Working with Datetimes/001. Import a Dataset with Datetimes.mp4
31.37 MB
💬
Chapter 14 Working with Datetimes/002. Parse Datetimes with the strptime Method.en.srt
15.45 KB
🎬
Chapter 14 Working with Datetimes/002. Parse Datetimes with the strptime Method.mp4
46.21 MB
💬
Chapter 14 Working with Datetimes/003. Parse Dates and Times.en.srt
8.19 KB
🎬
Chapter 14 Working with Datetimes/003. Parse Dates and Times.mp4
22.29 MB
💬
Chapter 14 Working with Datetimes/004. Converting from Date to String.en.srt
10.46 KB
🎬
Chapter 14 Working with Datetimes/004. Converting from Date to String.mp4
28.09 MB
💬
Chapter 14 Working with Datetimes/005. Extracting Datetime Components.en.srt
11.87 KB
🎬
Chapter 14 Working with Datetimes/005. Extracting Datetime Components.mp4
28.9 MB
💬
Chapter 14 Working with Datetimes/006. Filtering by Date, Time, and Datetime.en.srt
20.96 KB
🎬
Chapter 14 Working with Datetimes/006. Filtering by Date, Time, and Datetime.mp4
49.11 MB
💬
Chapter 14 Working with Datetimes/007. Adding and Subtracting Time I.en.srt
11.95 KB
🎬
Chapter 14 Working with Datetimes/007. Adding and Subtracting Time I.mp4
29.78 MB
💬
Chapter 14 Working with Datetimes/008. Adding and Subtracting Time II.en.srt
9.94 KB
🎬
Chapter 14 Working with Datetimes/008. Adding and Subtracting Time II.mp4
24.9 MB
💬
Chapter 14 Working with Datetimes/009. Durations.en.srt
9.67 KB
🎬
Chapter 14 Working with Datetimes/009. Durations.mp4
23.66 MB
💬
Chapter 14 Working with Datetimes/010. Timezones I.en.srt
15.96 KB
🎬
Chapter 14 Working with Datetimes/010. Timezones I.mp4
62.83 MB
💬
Chapter 14 Working with Datetimes/011. Timezones II - Conversions.en.srt
8.1 KB
🎬
Chapter 14 Working with Datetimes/011. Timezones II - Conversions.mp4
22.98 MB
💬
Chapter 15 Selectors/001. A Review of Targeting Strategies.en.srt
15.88 KB
🎬
Chapter 15 Selectors/001. A Review of Targeting Strategies.mp4
38.99 MB
💬
Chapter 15 Selectors/002. Introducing Selectors.en.srt
5.81 KB
🎬
Chapter 15 Selectors/002. Introducing Selectors.mp4
14.55 MB
💬
Chapter 15 Selectors/003. Selecting by Data Type.en.srt
7.46 KB
🎬
Chapter 15 Selectors/003. Selecting by Data Type.mp4
16.67 MB
💬
Chapter 15 Selectors/004. Selecting by Column Position.en.srt
6.37 KB
🎬
Chapter 15 Selectors/004. Selecting by Column Position.mp4
14.47 MB
💬
Chapter 15 Selectors/005. Set Operations with Selectors.en.srt
16.89 KB
🎬
Chapter 15 Selectors/005. Set Operations with Selectors.mp4
42.93 MB
💬
Chapter 16 GroupBy/001. Introducing our Dataset.en.srt
10.2 KB
🎬
Chapter 16 GroupBy/001. Introducing our Dataset.mp4
23.3 MB
💬
Chapter 16 GroupBy/002. Intro to Grouping.en.srt
7.59 KB
🎬
Chapter 16 GroupBy/002. Intro to Grouping.mp4
21.33 MB
💬
Chapter 16 GroupBy/003. GroupBy Methods.en.srt
12.21 KB
🎬
Chapter 16 GroupBy/003. GroupBy Methods.mp4
35.27 MB
💬
Chapter 16 GroupBy/004. Largest and Smallest Values per Group.en.srt
7.39 KB
🎬
Chapter 16 GroupBy/004. Largest and Smallest Values per Group.mp4
22.14 MB
💬
Chapter 16 GroupBy/005. Aggregations with the agg Method.en.srt
11.01 KB
🎬
Chapter 16 GroupBy/005. Aggregations with the agg Method.mp4
26.04 MB
💬
Chapter 16 GroupBy/006. Using Selectors in Aggregations.en.srt
7.46 KB
🎬
Chapter 16 GroupBy/006. Using Selectors in Aggregations.mp4
19.17 MB
💬
Chapter 16 GroupBy/007. Grouping with Multiple Columns.en.srt
3.13 KB
🎬
Chapter 16 GroupBy/007. Grouping with Multiple Columns.mp4
8.52 MB
💬
Chapter 16 GroupBy/008. Grouping Temporal Data.en.srt
17.3 KB
🎬
Chapter 16 GroupBy/008. Grouping Temporal Data.mp4
46.18 MB
💬
Chapter 16 GroupBy/009. Window Functions and the over Method.en.srt
11.08 KB
🎬
Chapter 16 GroupBy/009. Window Functions and the over Method.mp4
34.68 MB
💬
Chapter 17 LazyFrames/001. LazyFrames and Eager vs. Lazy Evaluation.en.srt
8.15 KB
🎬
Chapter 17 LazyFrames/001. LazyFrames and Eager vs. Lazy Evaluation.mp4
23.74 MB
💬
Chapter 17 LazyFrames/002. The scan csv Function and the collect Method.en.srt
21.61 KB
🎬
Chapter 17 LazyFrames/002. The scan csv Function and the collect Method.mp4
56.54 MB
💬
Chapter 17 LazyFrames/003. A Matter of Time.en.srt
4.42 KB
🎬
Chapter 17 LazyFrames/003. A Matter of Time.mp4
12.84 MB
💬
Chapter 17 LazyFrames/004. Convert a DataFrame to a LazyFrame.en.srt
7.11 KB
🎬
Chapter 17 LazyFrames/004. Convert a DataFrame to a LazyFrame.mp4
17.4 MB
💬
Chapter 17 LazyFrames/005. LazyFrame Limitations.en.srt
13.5 KB
🎬
Chapter 17 LazyFrames/005. LazyFrame Limitations.mp4
36.58 MB
📄
z.Data-Analysis-with-Polars-and-Python-main/.gitignore
224 B
📄
z.Data-Analysis-with-Polars-and-Python-main/.python-version
5 B
📄
z.Data-Analysis-with-Polars-and-Python-main/LICENSE
1.04 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/pyproject.toml
408 B
📄
z.Data-Analysis-with-Polars-and-Python-main/README.md
38 B
📄
z.Data-Analysis-with-Polars-and-Python-main/uv.lock
326.51 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/assets/Data Analysis with Polars and Python.pdf
1.47 MB
📄
z.Data-Analysis-with-Polars-and-Python-main/assets/Functions.pdf
997.59 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/assets/PolarsLogo.jpg
57.47 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/assets/Rechunking.pdf
464.78 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/assets/Signed and Unsigned Integers.pdf
901.29 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/01 - Installation and Setup.ipynb
6.37 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/02 - Python Crash Course.ipynb
50.47 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/03 - Series.ipynb
88.18 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/04 - DataFrames I.ipynb
407.75 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/05 - DataFrames II.ipynb
171.17 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/06 - DataFrames III - Filtering.ipynb
461.44 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/07 - Joins.ipynb
218.4 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/08 - Concatenation.ipynb
96.28 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/09 - Reshaping.ipynb
54.57 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/10 - Arrays and Lists.ipynb
111.62 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/11 - Structs.ipynb
77.32 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/12 - Working with Text Data.ipynb
174.93 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/13 - Categoricals and Enums.ipynb
55 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/14 - Working with Datetimes.ipynb
151.23 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/15 - Selectors.ipynb
101.29 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/16 - GroupBy.ipynb
160.72 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/17 - LazyFrames.ipynb
19.4 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/clock_in_times.csv
256 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/coffee_sales.csv
70.52 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/colors.csv
46 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/daily_steps.csv
5.46 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/deliveries.csv
9.69 KB
💻
z.Data-Analysis-with-Polars-and-Python-main/complete/ecommerce_orders.json
119.56 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/education_costs.csv
62.96 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/employees.csv
63.4 KB
💻
z.Data-Analysis-with-Polars-and-Python-main/complete/flights.json
26.24 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/gym_memberships.csv
31.76 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/history.csv
267 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/ice_creams.csv
21.22 KB
📦
z.Data-Analysis-with-Polars-and-Python-main/complete/nyc.csv.zip
67.03 MB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/retail_sales.csv
60.23 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/spotify_top_1000_tracks.csv
69.83 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/student_grades.csv
261 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/student_grades_expanded.csv
499 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/sugars.csv
34 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/todos.csv
85 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/weird_datetimes.csv
325 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/wide_store_sales.csv
271 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/college/enrollments.csv
84 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/college/students.csv
63 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/exchange_rates/rates.csv
2.69 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/exchange_rates/transactions.csv
1.86 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/Blueprint.jpg
27.84 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/DataFrame.png
38.2 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/Full_Join.webp
8.32 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/Inner_Join.webp
8.63 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/IntType.png
93.88 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/Left_Join.png
10.85 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/MultipleHouses.jpg
119.78 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/Right_Join.png
10.92 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/Series.png
18.78 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/complete/images/UIntType.png
62.63 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/museum/artwork_metadata.csv
110 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/museum/expanded_artwork_metadata.csv
91 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/museum/future_paintings.csv
132 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/museum/new_paintings.csv
88 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/museum/old_paintings.csv
95 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/outages/outages.csv
206 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/outages/uptime_checks.csv
318 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/store/inventory.csv
77 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/store/prices.csv
78 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/streaming_service/movies.csv
508.63 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/streaming_service/plans.csv
115 B
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/streaming_service/support.csv
8.41 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/streaming_service/users.csv
205.83 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/complete/streaming_service/watch_history.csv
49.08 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/01 - Installation and Setup.ipynb
5.97 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/02 - Python Crash Course.ipynb
44.01 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/03 - Series.ipynb
34.31 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/04 - DataFrames I.ipynb
62.55 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/05 - DataFrames II.ipynb
23.33 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/06 - DataFrames III - Filtering.ipynb
40.14 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/07 - Joins.ipynb
38.03 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/08 - Concatenation.ipynb
27.09 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/09 - Reshaping.ipynb
13.1 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/10 - Arrays and Lists.ipynb
27.16 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/11 - Structs.ipynb
16.45 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/12 - Working with Text Data.ipynb
25.64 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/13 - Categoricals and Enums.ipynb
12.57 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/14 - Working with Datetimes.ipynb
27.44 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/15 - Selectors.ipynb
19.34 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/16 - GroupBy.ipynb
27.35 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/17 - LazyFrames.ipynb
15.38 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/clock_in_times.csv
256 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/coffee_sales.csv
70.52 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/colors.csv
46 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/daily_steps.csv
5.46 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/deliveries.csv
9.69 KB
💻
z.Data-Analysis-with-Polars-and-Python-main/incomplete/ecommerce_orders.json
119.56 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/education_costs.csv
62.96 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/employees.csv
63.4 KB
💻
z.Data-Analysis-with-Polars-and-Python-main/incomplete/flights.json
26.24 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/gym_memberships.csv
31.76 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/history.csv
267 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/ice_creams.csv
21.22 KB
📦
z.Data-Analysis-with-Polars-and-Python-main/incomplete/nyc.csv.zip
67.03 MB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/retail_sales.csv
60.23 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/spotify_top_1000_tracks.csv
69.83 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/student_grades.csv
261 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/student_grades_expanded.csv
499 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/sugars.csv
34 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/todos.csv
85 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/weird_datetimes.csv
325 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/wide_store_sales.csv
271 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/college/enrollments.csv
84 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/college/students.csv
63 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/exchange_rates/rates.csv
2.69 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/exchange_rates/transactions.csv
1.86 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/Blueprint.jpg
27.84 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/DataFrame.png
38.2 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/Full_Join.webp
8.32 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/Inner_Join.webp
8.63 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/IntType.png
93.88 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/Left_Join.png
10.85 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/MultipleHouses.jpg
119.78 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/Right_Join.png
10.92 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/Series.png
18.78 KB
🖼️
z.Data-Analysis-with-Polars-and-Python-main/incomplete/images/UIntType.png
62.63 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/museum/artwork_metadata.csv
110 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/museum/expanded_artwork_metadata.csv
91 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/museum/future_paintings.csv
132 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/museum/new_paintings.csv
88 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/museum/old_paintings.csv
95 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/outages/outages.csv
206 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/outages/uptime_checks.csv
318 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/store/inventory.csv
77 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/store/prices.csv
78 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/streaming_service/movies.csv
508.63 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/streaming_service/plans.csv
115 B
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/streaming_service/support.csv
8.41 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/streaming_service/users.csv
205.83 KB
📄
z.Data-Analysis-with-Polars-and-Python-main/incomplete/streaming_service/watch_history.csv
49.08 KB
⬇️ Offline Download
🔗 Related Resources

Disclaimer

This website only provides DHT network resource indexing services and does not store any resource files. All resources come from the DHT network, and this site cannot control their content. Please comply with local laws and regulations and use network resources rationally. If there are copyright issues, please contact [email protected].

© 2026 DHT Search