Data Analysis with Polars and Python | 1B73957A04B3D2AF91FDDF4ADC1EC986CA0CCE8D

Data Analysis with Polars and Python

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/Chapter 01 Introduction/
001. Welcome to Polars.mp4	95.0 MB
Chapter 01 Introduction/
001. Welcome to Polars.en.srt	13.7 KB
002. [macOS] Intro to Terminal.en.srt	11.6 KB
002. [macOS] Intro to Terminal.mp4	58.9 MB
003. [macOS] Install uv, a Python package and project manager.en.srt	8.6 KB
003. [macOS] Install uv, a Python package and project manager.mp4	21.1 MB
004. [macOS] Download Course Materials and Setup Project.en.srt	5.4 KB
004. [macOS] Download Course Materials and Setup Project.mp4	13.2 MB
005. [Windows] Intro to PowerShell.en.srt	12.8 KB
005. [Windows] Intro to PowerShell.mp4	32.1 MB
006. [Windows] Install uv, a Python package and project manager.en.srt	7.0 KB
006. [Windows] Install uv, a Python package and project manager.mp4	18.1 MB
007. [Windows] Download Course Materials and Setup Project.en.srt	8.3 KB
007. [Windows] Download Course Materials and Setup Project.mp4	18.9 MB
008. Jupyter Lab Startup and Shutdown.en.srt	12.9 KB
008. Jupyter Lab Startup and Shutdown.mp4	32.9 MB
009. Intro to Jupyter Lab.en.srt	21.2 KB
009. Intro to Jupyter Lab.mp4	45.9 MB
010. Setting Up Ruff Formatter in Jupyter Lab.en.srt	3.6 KB
010. Setting Up Ruff Formatter in Jupyter Lab.mp4	5.9 MB
011. Import Libraries into Jupyter Lab.en.srt	6.5 KB
011. Import Libraries into Jupyter Lab.mp4	13.8 MB
Chapter 02 Python Crash Course/
001. Comments.en.srt	11.0 KB
001. Comments.mp4	20.0 MB
002. Data Types.en.srt	16.1 KB
002. Data Types.mp4	30.7 MB
003. Operators.en.srt	19.8 KB
003. Operators.mp4	40.3 MB
004. Equality and Inequality Operators.en.srt	14.7 KB
004. Equality and Inequality Operators.mp4	28.7 MB
005. Variables.en.srt	10.9 KB
005. Variables.mp4	22.1 MB
006. Built-In Functions.en.srt	19.5 KB
006. Built-In Functions.mp4	55.5 MB
007. Custom Functions.en.srt	25.6 KB
007. Custom Functions.mp4	64.2 MB
008. String Methods.en.srt	30.0 KB
008. String Methods.mp4	70.5 MB
009. Lists.en.srt	21.1 KB
009. Lists.mp4	41.6 MB
010. Index Positions and Slicing.en.srt	28.0 KB
010. Index Positions and Slicing.mp4	55.6 MB
011. Tuples.en.srt	12.5 KB
011. Tuples.mp4	23.1 MB
012. Dictionaries.en.srt	21.4 KB
012. Dictionaries.mp4	45.8 MB
013. Classes and Objects.en.srt	9.9 KB
013. Classes and Objects.mp4	28.7 MB
014. Importing Modules.en.srt	17.7 KB
014. Importing Modules.mp4	44.6 MB
015. Importing Libraries.en.srt	5.2 KB
015. Importing Libraries.mp4	11.9 MB
016. Unsigned and Signed Integers.en.srt	17.3 KB
016. Unsigned and Signed Integers.mp4	77.1 MB
Chapter 03 Series/
001. Import the Polars Series.en.srt	8.4 KB
001. Import the Polars Series.mp4	19.0 MB
002. Create a Series.en.srt	16.8 KB
002. Create a Series.mp4	38.8 MB
003. Data Type Inference.en.srt	16.0 KB
003. Data Type Inference.mp4	38.7 MB
004. Attributes.en.srt	5.9 KB
004. Attributes.mp4	11.7 MB
005. Missing Values.en.srt	10.2 KB
005. Missing Values.mp4	22.2 MB
006. The alias Method.en.srt	6.5 KB
006. The alias Method.mp4	15.3 MB
007. Import a CSV File with the read csv Function.en.srt	17.7 KB
007. Import a CSV File with the read csv Function.mp4	41.3 MB
008. The head and tail Methods.en.srt	10.6 KB
008. The head and tail Methods.mp4	23.9 MB
009. Memory Optimization and the schema overrides Parameter.en.srt	18.1 KB
009. Memory Optimization and the schema overrides Parameter.mp4	44.8 MB
010. Sorting a Series.en.srt	10.2 KB
010. Sorting a Series.mp4	22.3 MB
011. Mathematical Methods.en.srt	10.4 KB
011. Mathematical Methods.mp4	22.6 MB
012. Rounding Methods.en.srt	6.1 KB
012. Rounding Methods.mp4	11.3 MB
013. How Polars Differs from Pandas.en.srt	20.1 KB
013. How Polars Differs from Pandas.mp4	50.8 MB
Chapter 04 DataFrames I/
001. Intro to DataFrames.en.srt	4.8 KB
001. Intro to DataFrames.mp4	11.3 MB
002. Create a DataFrame from Scratch.en.srt	4.3 KB
002. Create a DataFrame from Scratch.mp4	9.5 MB
003. Read a DataFrame from CSV.en.srt	10.8 KB
003. Read a DataFrame from CSV.mp4	33.2 MB
004. No Index, No Problem.en.srt	6.5 KB
004. No Index, No Problem.mp4	20.1 MB
005. Intro to Expressions.en.srt	8.6 KB
005. Intro to Expressions.mp4	27.0 MB
006. The select Method I.en.srt	10.7 KB
006. The select Method I.mp4	24.9 MB
007. Renaming Columns.en.srt	14.0 KB
007. Renaming Columns.mp4	35.4 MB
008. The select Method II.en.srt	18.3 KB
008. The select Method II.mp4	42.5 MB
009. The select Method III - Targeting by Data Type.en.srt	6.6 KB
009. The select Method III - Targeting by Data Type.mp4	16.4 MB
010. Expressions as Building Blocks.en.srt	8.9 KB
010. Expressions as Building Blocks.mp4	19.6 MB
011. Expressions that Count Values.en.srt	12.1 KB
011. Expressions that Count Values.mp4	29.2 MB
012. Extracting One or More Rows.en.srt	9.6 KB
012. Extracting One or More Rows.mp4	25.8 MB
013. List Slicing Syntax.en.srt	10.0 KB
013. List Slicing Syntax.mp4	24.9 MB
014. Expressions that Target Row Values.en.srt	9.0 KB
014. Expressions that Target Row Values.mp4	21.4 MB
015. Extracting a Single Value from DataFrame with the item Method.en.srt	5.2 KB
015. Extracting a Single Value from DataFrame with the item Method.mp4	13.7 MB
016. Extracting Rows by Index Positions with the gather and gather every Methods.en.srt	6.0 KB
016. Extracting Rows by Index Positions with the gather and gather every Methods.mp4	17.1 MB
017. Extracting a Random Set of Values.en.srt	3.6 KB
017. Extracting a Random Set of Values.mp4	10.2 MB
018. Casting Columns to Different Types.en.srt	10.8 KB
018. Casting Columns to Different Types.mp4	22.2 MB
019. Customizing the DataFrame Schema.en.srt	9.5 KB
019. Customizing the DataFrame Schema.mp4	25.3 MB
020. Renaming Columns.en.srt	6.0 KB
020. Renaming Columns.mp4	16.6 MB
021. The name Attribute.en.srt	9.0 KB
021. The name Attribute.mp4	23.7 MB
022. Dropping Columns.en.srt	5.8 KB
022. Dropping Columns.mp4	14.0 MB
023. Replacing Values.en.srt	5.3 KB
023. Replacing Values.mp4	10.6 MB
024. Mathematical Operations I.en.srt	17.6 KB
024. Mathematical Operations I.mp4	44.7 MB
025. Mathematical Operations II.en.srt	6.0 KB
025. Mathematical Operations II.mp4	14.9 MB
026. Cumulative Mathematical Operations.en.srt	12.1 KB
026. Cumulative Mathematical Operations.mp4	27.5 MB
027. The with columns Method.en.srt	12.4 KB
027. The with columns Method.mp4	38.0 MB
028. The all and exclude Functions.en.srt	8.5 KB
028. The all and exclude Functions.mp4	22.9 MB
Chapter 05 DataFrames II/
001. The fill null Method.en.srt	19.7 KB
001. The fill null Method.mp4	48.3 MB
002. Interpolation.en.srt	7.8 KB
002. Interpolation.mp4	18.9 MB
003. Dropping Missing Data.en.srt	17.0 KB
003. Dropping Missing Data.mp4	43.1 MB
004. Sorting by a Single Column.en.srt	19.0 KB
004. Sorting by a Single Column.mp4	53.5 MB
005. Sorting by Multiple Columns I.en.srt	11.2 KB
005. Sorting by Multiple Columns I.mp4	31.4 MB
006. Sorting by Multiple Columns II.en.srt	11.4 KB
006. Sorting by Multiple Columns II.mp4	34.8 MB
007. Characters vs Bytes.en.srt	15.6 KB
007. Characters vs Bytes.mp4	37.3 MB
008. Sorting based on Expressions.en.srt	12.1 KB
008. Sorting based on Expressions.mp4	31.0 MB
009. The top k and bottom k Methods.en.srt	6.4 KB
009. The top k and bottom k Methods.mp4	14.0 MB
010. The rank Method.en.srt	7.7 KB
010. The rank Method.mp4	23.2 MB
011. The shuffle Method.en.srt	7.9 KB
011. The shuffle Method.mp4	20.1 MB
012. Counting and Extracting Unique Values.en.srt	10.6 KB
012. Counting and Extracting Unique Values.mp4	27.1 MB
013. The value counts Method.en.srt	13.2 KB
013. The value counts Method.mp4	30.1 MB
Chapter 06 DataFrames III - Filtering/
001. Introducing the Dataset.en.srt	6.7 KB
001. Introducing the Dataset.mp4	17.8 MB
002. The filter Method.en.srt	17.2 KB
002. The filter Method.mp4	41.5 MB
003. Filtering with Mathematical Operators.en.srt	9.3 KB
003. Filtering with Mathematical Operators.mp4	26.1 MB
004. Filtering with Missing Values.en.srt	14.0 KB
004. Filtering with Missing Values.mp4	40.0 MB
005. Filtering with Boolean Columns.en.srt	4.1 KB
005. Filtering with Boolean Columns.mp4	12.2 MB
006. Applying And Logic (Multiple Boolean Expressions).en.srt	20.8 KB
006. Applying And Logic (Multiple Boolean Expressions).mp4	61.8 MB
007. Keyword Argument Filtering.en.srt	5.4 KB
007. Keyword Argument Filtering.mp4	16.0 MB
008. Applying Or Logic.en.srt	9.9 KB
008. Applying Or Logic.mp4	27.8 MB
009. Operator Precedence.en.srt	8.9 KB
009. Operator Precedence.mp4	25.4 MB
010. Applying Exclusive OR (xor) Logic.en.srt	4.5 KB
010. Applying Exclusive OR (xor) Logic.mp4	13.4 MB
011. Filtering for Unique and Duplicate Values.en.srt	9.7 KB
011. Filtering for Unique and Duplicate Values.mp4	28.6 MB
012. Filtering with Datetimes.en.srt	15.0 KB
012. Filtering with Datetimes.mp4	44.9 MB
013. The is between Method.en.srt	11.3 KB
013. The is between Method.mp4	34.1 MB
014. The is in Method.en.srt	4.9 KB
014. The is in Method.mp4	13.8 MB
015. The remove Method.en.srt	9.9 KB
015. The remove Method.mp4	30.7 MB
016. Negation with Tilde Symbol.en.srt	11.9 KB
016. Negation with Tilde Symbol.mp4	31.9 MB
017. When, Then, Otherwise.en.srt	11.7 KB
017. When, Then, Otherwise.mp4	34.9 MB
018. Partitioning DataFrames.en.srt	16.1 KB
018. Partitioning DataFrames.mp4	52.6 MB
Chapter 07 Joins/
001. Introducing the Datasets.en.srt	9.3 KB
001. Introducing the Datasets.mp4	22.0 MB
002. Inner Joins.en.srt	21.2 KB
002. Inner Joins.mp4	61.0 MB
003. The on Parameter.en.srt	4.2 KB
003. The on Parameter.mp4	11.3 MB
004. Full Joins.en.srt	14.3 KB
004. Full Joins.mp4	37.9 MB
005. Left and Right Joins.en.srt	10.1 KB
005. Left and Right Joins.mp4	25.9 MB
006. Semi Join.en.srt	4.2 KB
006. Semi Join.mp4	11.1 MB
007. Anti Join.en.srt	3.7 KB
007. Anti Join.mp4	10.2 MB
008. Cross JoinsCartesian Products.en.srt	7.1 KB
008. Cross JoinsCartesian Products.mp4	14.9 MB
009. Joining on Multiple Columns.en.srt	14.0 KB
009. Joining on Multiple Columns.mp4	35.3 MB
010. The validate Parameter.en.srt	20.9 KB
010. The validate Parameter.mp4	54.5 MB
011. The join asof Method I.en.srt	17.4 KB
011. The join asof Method I.mp4	50.0 MB
012. The join asof Method II - Tolerance.en.srt	10.2 KB
012. The join asof Method II - Tolerance.mp4	30.7 MB
013. The join asof Method III - The by Parameter.en.srt	18.7 KB
013. The join asof Method III - The by Parameter.mp4	53.1 MB
Chapter 08 Concatenation/
001. Vertical Concatenation.en.srt	6.7 KB
001. Vertical Concatenation.mp4	15.9 MB
002. Horizontal Concatenation.en.srt	7.3 KB
002. Horizontal Concatenation.mp4	17.2 MB
003. Diagonal Concatenation.en.srt	5.6 KB
003. Diagonal Concatenation.mp4	16.3 MB
004. Align Concatenation.en.srt	14.5 KB
004. Align Concatenation.mp4	39.2 MB
005. Relaxed Concatenation.en.srt	14.7 KB
005. Relaxed Concatenation.mp4	41.2 MB
006. Rechunking.en.srt	16.6 KB
006. Rechunking.mp4	69.5 MB
007. The vstack Method.en.srt	18.8 KB
007. The vstack Method.mp4	53.6 MB
008. The extend Method.en.srt	11.9 KB
008. The extend Method.mp4	30.6 MB
009. The hstack Method.en.srt	4.4 KB
009. The hstack Method.mp4	9.2 MB
Chapter 09 Reshaping/
001. Wide vs. Long DataFrames.en.srt	9.2 KB
001. Wide vs. Long DataFrames.mp4	24.7 MB
002. The unpivot Method to Convert a Wide DataFrame to a Long DataFrame.en.srt	11.1 KB
002. The unpivot Method to Convert a Wide DataFrame to a Long DataFrame.mp4	27.9 MB
003. The pivot Method to Convert a Long DataFrame to a Wide DataFrame.en.srt	7.1 KB
003. The pivot Method to Convert a Long DataFrame to a Wide DataFrame.mp4	17.3 MB
004. Pivot Tables I.en.srt	11.2 KB
004. Pivot Tables I.mp4	28.7 MB
005. Pivot Tables II.en.srt	9.2 KB
005. Pivot Tables II.mp4	18.6 MB
006. The transpose Method.en.srt	5.5 KB
006. The transpose Method.mp4	15.4 MB
Chapter 10 Arrays and Lists/
001. Arrays and Lists.en.srt	14.0 KB
001. Arrays and Lists.mp4	36.8 MB
002. The str.split Method.en.srt	7.7 KB
002. The str.split Method.mp4	17.0 MB
003. The list Namespace.en.srt	9.7 KB
003. The list Namespace.mp4	21.3 MB
004. Sorting the Lists.en.srt	4.7 KB
004. Sorting the Lists.mp4	9.6 MB
005. The explode Method.en.srt	6.2 KB
005. The explode Method.mp4	13.2 MB
006. Exploding with Multiple Columns of Lists.en.srt	14.2 KB
006. Exploding with Multiple Columns of Lists.mp4	29.5 MB
007. Mathematical Operations.en.srt	8.6 KB
007. Mathematical Operations.mp4	21.9 MB
008. The list.eval, list.any, and list.all Methods.en.srt	14.2 KB
008. The list.eval, list.any, and list.all Methods.mp4	33.3 MB
009. Concatenating Column Values.en.srt	16.7 KB
009. Concatenating Column Values.mp4	36.9 MB
010. Arrays.en.srt	10.5 KB
010. Arrays.mp4	24.3 MB
011. The arr Attribute.en.srt	6.6 KB
011. The arr Attribute.mp4	16.4 MB
Chapter 11 Structs/
001. Intro to Structs.en.srt	12.0 KB
001. Intro to Structs.mp4	31.7 MB
002. The struct.field and unnest Methods.en.srt	5.8 KB
002. The struct.field and unnest Methods.mp4	14.4 MB
003. The value counts Method.en.srt	10.4 KB
003. The value counts Method.mp4	23.4 MB
004. Rename Struct Fields.en.srt	5.6 KB
004. Rename Struct Fields.mp4	10.4 MB
005. Using Structs to Work with Nested Data.en.srt	29.4 KB
005. Using Structs to Work with Nested Data.mp4	86.4 MB
006. Using Structs to Identify Duplicates across Columns.en.srt	7.5 KB
006. Using Structs to Identify Duplicates across Columns.mp4	22.9 MB
Chapter 12 Working with Text Data/
001. Introducing the Dataset.en.srt	5.2 KB
001. Introducing the Dataset.mp4	13.7 MB
002. Case Conversion.en.srt	7.4 KB
002. Case Conversion.mp4	20.6 MB
003. Removing Whitespace.en.srt	8.8 KB
003. Removing Whitespace.mp4	24.7 MB
004. Removing Prefix and Suffix.en.srt	6.7 KB
004. Removing Prefix and Suffix.mp4	19.3 MB
005. Characters vs. Bytes.en.srt	14.5 KB
005. Characters vs. Bytes.mp4	38.5 MB
006. String Slicing.en.srt	9.0 KB
006. String Slicing.mp4	21.2 MB
007. Filtering Methods.en.srt	13.4 KB
007. Filtering Methods.mp4	43.1 MB
008. Regular Expressions.en.srt	12.9 KB
008. Regular Expressions.mp4	36.6 MB
009. Capture Groups.en.srt	17.3 KB
009. Capture Groups.mp4	45.0 MB
010. Replacing Values.en.srt	9.0 KB
010. Replacing Values.mp4	24.3 MB
011. Find Longest Employee Names.en.srt	15.0 KB
011. Find Longest Employee Names.mp4	38.3 MB
Chapter 13 Categoricals and Enums/
001. Categorical Data.en.srt	15.0 KB
001. Categorical Data.mp4	39.8 MB
002. The cat Namespace.en.srt	5.6 KB
002. The cat Namespace.mp4	14.1 MB
003. Enums.en.srt	14.5 KB
003. Enums.mp4	32.9 MB
004. Enums, Categoricals, and Sorting.en.srt	10.8 KB
004. Enums, Categoricals, and Sorting.mp4	27.8 MB
Chapter 14 Working with Datetimes/
001. Import a Dataset with Datetimes.en.srt	12.4 KB
001. Import a Dataset with Datetimes.mp4	32.9 MB
002. Parse Datetimes with the strptime Method.en.srt	15.8 KB
002. Parse Datetimes with the strptime Method.mp4	48.5 MB
003. Parse Dates and Times.en.srt	8.4 KB
003. Parse Dates and Times.mp4	23.4 MB
004. Converting from Date to String.en.srt	10.7 KB
004. Converting from Date to String.mp4	29.5 MB
005. Extracting Datetime Components.en.srt	12.2 KB
005. Extracting Datetime Components.mp4	30.3 MB
006. Filtering by Date, Time, and Datetime.en.srt	21.5 KB
006. Filtering by Date, Time, and Datetime.mp4	51.5 MB
007. Adding and Subtracting Time I.en.srt	12.2 KB
007. Adding and Subtracting Time I.mp4	31.2 MB
008. Adding and Subtracting Time II.en.srt	10.2 KB
008. Adding and Subtracting Time II.mp4	26.1 MB
009. Durations.en.srt	9.9 KB
009. Durations.mp4	24.8 MB
010. Timezones I.en.srt	16.3 KB
010. Timezones I.mp4	65.9 MB
011. Timezones II - Conversions.en.srt	8.3 KB
011. Timezones II - Conversions.mp4	24.1 MB
Chapter 15 Selectors/
001. A Review of Targeting Strategies.en.srt	16.3 KB
001. A Review of Targeting Strategies.mp4	40.9 MB
002. Introducing Selectors.en.srt	5.9 KB
002. Introducing Selectors.mp4	15.3 MB
003. Selecting by Data Type.en.srt	7.6 KB
003. Selecting by Data Type.mp4	17.5 MB
004. Selecting by Column Position.en.srt	6.5 KB
004. Selecting by Column Position.mp4	15.2 MB
005. Set Operations with Selectors.en.srt	17.3 KB
005. Set Operations with Selectors.mp4	45.0 MB
Chapter 16 GroupBy/
001. Introducing our Dataset.en.srt	10.4 KB
001. Introducing our Dataset.mp4	24.4 MB
002. Intro to Grouping.en.srt	7.8 KB
002. Intro to Grouping.mp4	22.4 MB
003. GroupBy Methods.en.srt	12.5 KB
003. GroupBy Methods.mp4	37.0 MB
004. Largest and Smallest Values per Group.en.srt	7.6 KB
004. Largest and Smallest Values per Group.mp4	23.2 MB
005. Aggregations with the agg Method.en.srt	11.3 KB
005. Aggregations with the agg Method.mp4	27.3 MB
006. Using Selectors in Aggregations.en.srt	7.6 KB
006. Using Selectors in Aggregations.mp4	20.1 MB
007. Grouping with Multiple Columns.en.srt	3.2 KB
007. Grouping with Multiple Columns.mp4	8.9 MB
008. Grouping Temporal Data.en.srt	17.7 KB
008. Grouping Temporal Data.mp4	48.4 MB
009. Window Functions and the over Method.en.srt	11.3 KB
009. Window Functions and the over Method.mp4	36.4 MB
Chapter 17 LazyFrames/
001. LazyFrames and Eager vs. Lazy Evaluation.en.srt	8.3 KB
001. LazyFrames and Eager vs. Lazy Evaluation.mp4	24.9 MB
002. The scan csv Function and the collect Method.en.srt	22.1 KB
002. The scan csv Function and the collect Method.mp4	59.3 MB
003. A Matter of Time.en.srt	4.5 KB
003. A Matter of Time.mp4	13.5 MB
004. Convert a DataFrame to a LazyFrame.en.srt	7.3 KB
004. Convert a DataFrame to a LazyFrame.mp4	18.2 MB
005. LazyFrame Limitations.en.srt	13.8 KB
005. LazyFrame Limitations.mp4	38.4 MB
z.Data-Analysis-with-Polars-and-Python-main/
.gitignore	0.2 KB
.python-version	0.0 KB
LICENSE	1.1 KB
pyproject.toml	0.4 KB
README.md	0.0 KB
uv.lock	334.3 KB
/assets/
Data Analysis with Polars and Python.pdf	1.5 MB
Functions.pdf	1.0 MB
PolarsLogo.jpg	58.8 KB
Rechunking.pdf	475.9 KB
Signed and Unsigned Integers.pdf	922.9 KB
/complete/
01 - Installation and Setup.ipynb	6.5 KB
02 - Python Crash Course.ipynb	51.7 KB
03 - Series.ipynb	90.3 KB
04 - DataFrames I.ipynb	417.5 KB
05 - DataFrames II.ipynb	175.3 KB
06 - DataFrames III - Filtering.ipynb	472.5 KB
07 - Joins.ipynb	223.6 KB
08 - Concatenation.ipynb	98.6 KB
09 - Reshaping.ipynb	55.9 KB
10 - Arrays and Lists.ipynb	114.3 KB
11 - Structs.ipynb	79.2 KB
12 - Working with Text Data.ipynb	179.1 KB
13 - Categoricals and Enums.ipynb	56.3 KB
14 - Working with Datetimes.ipynb	154.9 KB
15 - Selectors.ipynb	103.7 KB
16 - GroupBy.ipynb	164.6 KB
17 - LazyFrames.ipynb	19.9 KB
clock_in_times.csv	0.3 KB
coffee_sales.csv	72.2 KB
colors.csv	0.0 KB
daily_steps.csv	5.6 KB
deliveries.csv	9.9 KB
ecommerce_orders.json	122.4 KB
education_costs.csv	64.5 KB
employees.csv	64.9 KB
flights.json	26.9 KB
gym_memberships.csv	32.5 KB
history.csv	0.3 KB
ice_creams.csv	21.7 KB
nyc.csv.zip	70.3 MB
retail_sales.csv	61.7 KB
spotify_top_1000_tracks.csv	71.5 KB
student_grades.csv	0.3 KB
student_grades_expanded.csv	0.5 KB
sugars.csv	0.0 KB
todos.csv	0.1 KB
weird_datetimes.csv	0.3 KB
wide_store_sales.csv	0.3 KB
/complete/college/
enrollments.csv	0.1 KB
students.csv	0.1 KB
/complete/exchange_rates/
rates.csv	2.8 KB
transactions.csv	1.9 KB
/complete/images/
Blueprint.jpg	28.5 KB
DataFrame.png	39.1 KB
Full_Join.webp	8.5 KB
Inner_Join.webp	8.8 KB
IntType.png	96.1 KB
Left_Join.png	11.1 KB
MultipleHouses.jpg	122.7 KB
Right_Join.png	11.2 KB
Series.png	19.2 KB
UIntType.png	64.1 KB
/complete/museum/
artwork_metadata.csv	0.1 KB
expanded_artwork_metadata.csv	0.1 KB
future_paintings.csv	0.1 KB
new_paintings.csv	0.1 KB
old_paintings.csv	0.1 KB
/complete/outages/
outages.csv	0.2 KB
uptime_checks.csv	0.3 KB
/complete/store/
inventory.csv	0.1 KB
prices.csv	0.1 KB
/complete/streaming_service/
movies.csv	520.8 KB
plans.csv	0.1 KB
support.csv	8.6 KB
users.csv	210.8 KB
watch_history.csv	50.3 KB
/incomplete/
01 - Installation and Setup.ipynb	6.1 KB
02 - Python Crash Course.ipynb	45.1 KB
03 - Series.ipynb	35.1 KB
04 - DataFrames I.ipynb	64.1 KB
05 - DataFrames II.ipynb	23.9 KB
06 - DataFrames III - Filtering.ipynb	41.1 KB
07 - Joins.ipynb	38.9 KB
08 - Concatenation.ipynb	27.7 KB
09 - Reshaping.ipynb	13.4 KB
10 - Arrays and Lists.ipynb	27.8 KB
11 - Structs.ipynb	16.8 KB
12 - Working with Text Data.ipynb	26.3 KB
13 - Categoricals and Enums.ipynb	12.9 KB
14 - Working with Datetimes.ipynb	28.1 KB
15 - Selectors.ipynb	19.8 KB
16 - GroupBy.ipynb	28.0 KB
17 - LazyFrames.ipynb	15.7 KB
clock_in_times.csv	0.3 KB
coffee_sales.csv	72.2 KB
colors.csv	0.0 KB
daily_steps.csv	5.6 KB
deliveries.csv	9.9 KB
ecommerce_orders.json	122.4 KB
education_costs.csv	64.5 KB
employees.csv	64.9 KB
flights.json	26.9 KB
gym_memberships.csv	32.5 KB
history.csv	0.3 KB
ice_creams.csv	21.7 KB
nyc.csv.zip	70.3 MB
retail_sales.csv	61.7 KB
spotify_top_1000_tracks.csv	71.5 KB
student_grades.csv	0.3 KB
student_grades_expanded.csv	0.5 KB
sugars.csv	0.0 KB
todos.csv	0.1 KB
weird_datetimes.csv	0.3 KB
wide_store_sales.csv	0.3 KB
/incomplete/college/
enrollments.csv	0.1 KB
students.csv	0.1 KB
/incomplete/exchange_rates/
rates.csv	2.8 KB
transactions.csv	1.9 KB
/incomplete/images/
Blueprint.jpg	28.5 KB
DataFrame.png	39.1 KB
Full_Join.webp	8.5 KB
Inner_Join.webp	8.8 KB
IntType.png	96.1 KB
Left_Join.png	11.1 KB
MultipleHouses.jpg	122.7 KB
Right_Join.png	11.2 KB
Series.png	19.2 KB
UIntType.png	64.1 KB
/incomplete/museum/
artwork_metadata.csv	0.1 KB
expanded_artwork_metadata.csv	0.1 KB
future_paintings.csv	0.1 KB
new_paintings.csv	0.1 KB
old_paintings.csv	0.1 KB
/incomplete/outages/
outages.csv	0.2 KB
uptime_checks.csv	0.3 KB
/incomplete/store/
inventory.csv	0.1 KB
prices.csv	0.1 KB
/incomplete/streaming_service/
movies.csv	520.8 KB
plans.csv	0.1 KB
support.csv	8.6 KB
users.csv	210.8 KB
watch_history.csv	50.3 KB
Total files 521