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[GigaCourse.Com] Udemy - Data Analysis with Pandas and Python

Torrent Hash :
b95f5c40cdc136eb590697453d23c85eac20eb17
Content Size :
4.17 GB
Date :
2022-02-15
Short Magnet :
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https://0mag.biz/!Vj4DnL QR code
Files ( 370 )size
01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4125.34 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp482.28 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp475.27 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp463.15 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp462.28 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp461.64 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp460.72 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp459.65 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp459.24 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp458.05 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp456.29 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp453.98 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp453.7 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp451.96 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp451.78 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp450 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp449.79 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp448.52 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp447.89 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp447.79 MB
01 - Installation and Setup/011 Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp447.74 MB
10 - Merging, Joining, and Concatenating DataFrames/004 Inner Joins, Part 1.mp443.41 MB
04 - DataFrames I_ Introduction/015 Sort a DataFrame with the sort_values Method, Part I.mp443.29 MB
04 - DataFrames I_ Introduction/002 Shared Methods and Attributes between Series and DataFrames.mp442.53 MB
04 - DataFrames I_ Introduction/004 Select One Column from a DataFrame.mp442.2 MB
09 - The GroupBy Object/006 The .agg() Method.mp441.47 MB
01 - Installation and Setup/005 macOS - Install Anaconda Distribution.mp441.22 MB
14 - Options and Settings in pandas/002 Changing pandas Options with Attributes and Dot Syntax.mp440.81 MB
04 - DataFrames I_ Introduction/008 Add New Column to DataFrame.mp440.64 MB
02 - BONUS_ Python Crash Course/008 String Methods.mp440.14 MB
12 - Input and Output in pandas/006 Import Excel File into pandas with the read_excel Method.mp439.23 MB
07 - Working with Text Data/003 Use the str.replace method to replace all occurrences of character with another.mp438.91 MB
04 - DataFrames I_ Introduction/011 Drop DataFrame Rows with Null Values with the dropna Method.mp437.16 MB
12 - Input and Output in pandas/007 Export Excel File with the to_excel Method.mp436.88 MB
08 - MultiIndex/009 The .stack() Method.mp436.38 MB
07 - Working with Text Data/008 More Practice with the str.split method on a Series.mp436.36 MB
06 - DataFrames III_ Data Extraction/016 Create a Copy of a DataFrame with the copy Method.mp436.08 MB
07 - Working with Text Data/004 Filter a DataFrame's Rows with String Methods.mp436.08 MB
06 - DataFrames III_ Data Extraction/003 Retrieve Rows by Index Label with loc Accessor.mp434.39 MB
06 - DataFrames III_ Data Extraction/012 Filter A DataFrame with the where method.mp434.38 MB
09 - The GroupBy Object/007 Iterating through Groups.mp433.74 MB
06 - DataFrames III_ Data Extraction/013 Filter A DataFrame with the query method.mp433.05 MB
09 - The GroupBy Object/004 Methods on the Groupby Object and DataFrame Columns.mp433.03 MB
14 - Options and Settings in pandas/003 Changing pandas Options with Methods.mp432.99 MB
11 - Working with Dates and Times in Datasets/017 Timedeltas in a Dataset.mp432.94 MB
08 - MultiIndex/014 Use the pivot_table method to create an aggregate summary of a DataFrame.mp432.73 MB
11 - Working with Dates and Times in Datasets/015 Timeseries Offsets.mp432.43 MB
05 - DataFrames II_ Filtering Data/009 Delete Duplicate DataFrame Rows with the drop_duplicates Method.mp432.23 MB
11 - Working with Dates and Times in Datasets/012 Selecting Rows from a DataFrame with a DateTimeIndex.mp432.14 MB
04 - DataFrames I_ Introduction/009 Broadcasting Operations on DataFrames.mp431.24 MB

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