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[GigaCourse.Com] Udemy - Data Analysis with Pandas and Python
magnet:?xt=urn:btih:3b3e97bed3a7f91837ecfc863a6e7e683f4df43c&dn=[GigaCourse.Com] Udemy - Data Analysis with Pandas and Python
磁力链接详情
Hash值:
3b3e97bed3a7f91837ecfc863a6e7e683f4df43c
点击数:
92
文件大小:
4.17 GB
文件数量:
166
创建日期:
2024-3-8 04:42
最后访问:
2024-5-20 03:55
访问标签:
GigaCourse
Com
Udemy
-
Data
Analysis
with
Pandas
and
Python
文件列表详情
01 - Installation and Setup/001 Introduction to Data Analysis with Pandas and Python.mp4 125.34 MB
01 - Installation and Setup/002 About Me.mp4 5.99 MB
01 - Installation and Setup/004 macOS - Download the Anaconda Distribution, our Python development environment.mp4 9.82 MB
01 - Installation and Setup/005 macOS - Install Anaconda Distribution.mp4 41.22 MB
01 - Installation and Setup/006 macOS - Access the Terminal Application.mp4 51.78 MB
01 - Installation and Setup/007 macOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 59.24 MB
01 - Installation and Setup/008 macOS - Unpack Course Materials + The Start and Shutdown Process.mp4 51.96 MB
01 - Installation and Setup/009 Windows - Download the Anaconda Distribution.mp4 10.19 MB
01 - Installation and Setup/010 Windows - Install Anaconda Distribution.mp4 16.31 MB
01 - Installation and Setup/011 Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 47.74 MB
01 - Installation and Setup/012 Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 27.14 MB
01 - Installation and Setup/013 Intro to the Jupyter Notebook Interface.mp4 16.26 MB
01 - Installation and Setup/014 Cell Types and Cell Modes in Jupyter Notebook.mp4 10.48 MB
01 - Installation and Setup/015 Code Cell Execution in Jupyter Notebook.mp4 4.67 MB
01 - Installation and Setup/016 Popular Keyboard Shortcuts in Jupyter Notebook.mp4 8.11 MB
01 - Installation and Setup/017 Import Libraries into Jupyter Notebook.mp4 14.47 MB
02 - BONUS_ Python Crash Course/001 Intro to the Python Crash Course.mp4 7.59 MB
02 - BONUS_ Python Crash Course/002 Comments.mp4 4.1 MB
02 - BONUS_ Python Crash Course/003 Basic Data Types.mp4 18.21 MB
02 - BONUS_ Python Crash Course/004 Operators.mp4 28 MB
02 - BONUS_ Python Crash Course/005 Variables.mp4 13.29 MB
02 - BONUS_ Python Crash Course/006 Built-in Functions.mp4 18.32 MB
02 - BONUS_ Python Crash Course/007 Custom Functions.mp4 30.91 MB
02 - BONUS_ Python Crash Course/008 String Methods.mp4 40.14 MB
02 - BONUS_ Python Crash Course/009 Lists.mp4 28.38 MB
02 - BONUS_ Python Crash Course/010 Index Positions and Slicing.mp4 30.01 MB
02 - BONUS_ Python Crash Course/011 Dictionaries.mp4 29.06 MB
03 - Series/001 Create Jupyter Notebook for the Series Module.mp4 2.95 MB
03 - Series/002 Create A Series Object from a Python List.mp4 22.59 MB
03 - Series/003 Create A Series Object from a Python Dictionary.mp4 6.53 MB
03 - Series/005 Intro to Attributes on a Series Object.mp4 18.87 MB
03 - Series/006 Intro to Methods on a Series Object.mp4 9.53 MB
03 - Series/007 Parameters and Arguments.mp4 29.7 MB
03 - Series/008 Create Series from Dataset with the pd.read_csv Method.mp4 29.41 MB
03 - Series/010 Use the head and tail Methods to Return Rows from Beginning and End of Dataset.mp4 8.55 MB
03 - Series/011 Passing pandas Objects to Python Built-In Functions.mp4 12.15 MB
03 - Series/012 Accessing More Series Attributes.mp4 25.61 MB
03 - Series/013 Use the sort_values method to sort a Series in ascending or descending order.mp4 28.49 MB
03 - Series/014 Use the inplace Parameter to permanently mutate a pandas data structure.mp4 14.34 MB
03 - Series/015 Use the sort_index Method to Sort the Index of a pandas Series object.mp4 11.23 MB
03 - Series/017 Use Python's in Keyword to Check for Inclusion in Series values or index.mp4 9.2 MB
03 - Series/018 Extract Series Values by Index Positiox.mp4 23.5 MB
03 - Series/019 Extract Series Values by Index Label.mp4 22.1 MB
03 - Series/021 Use the get Method to Retrieve a Value for an index label in a Series.mp4 20.63 MB
03 - Series/022 Math Methods on Series Objects.mp4 15.28 MB
03 - Series/023 Use the idxmax and idxmin Methods to Find Index of Greatest or Smallest Value.mp4 8.78 MB
03 - Series/024 Use the value_counts Method to See Counts of Unique Values within a Series.mp4 8.18 MB
03 - Series/025 Use the apply Method to Invoke a Function on Every Series Values.mp4 18.33 MB
03 - Series/026 The Series#map Method.mp4 22.63 MB
04 - DataFrames I_ Introduction/001 Intro to DataFrames I Module.mp4 49.79 MB
04 - DataFrames I_ Introduction/002 Shared Methods and Attributes between Series and DataFrames.mp4 42.53 MB
04 - DataFrames I_ Introduction/003 Differences between Shared Methods.mp4 27.01 MB
04 - DataFrames I_ Introduction/004 Select One Column from a DataFrame.mp4 42.2 MB
04 - DataFrames I_ Introduction/006 Select Two or More Columns from a DataFrame.mp4 13.01 MB
04 - DataFrames I_ Introduction/008 Add New Column to DataFrame.mp4 40.64 MB
04 - DataFrames I_ Introduction/009 Broadcasting Operations on DataFrames.mp4 31.24 MB
04 - DataFrames I_ Introduction/010 A Review of the value_counts Method.mp4 7.95 MB
04 - DataFrames I_ Introduction/011 Drop DataFrame Rows with Null Values with the dropna Method.mp4 37.16 MB
04 - DataFrames I_ Introduction/013 Fill in Null DataFrame Values with the fillna Method.mp4 14.77 MB
04 - DataFrames I_ Introduction/014 Convert DataFrame Column Types with the astype Method.mp4 60.72 MB
04 - DataFrames I_ Introduction/015 Sort a DataFrame with the sort_values Method, Part I.mp4 43.29 MB
04 - DataFrames I_ Introduction/016 Sort a DataFrame with the sort_values Method, Part II.mp4 17.16 MB
04 - DataFrames I_ Introduction/018 Sort DataFrame Indexwith the sort_index Method.mp4 18.7 MB
04 - DataFrames I_ Introduction/019 Rank Series Values with the rank Method.mp4 21.78 MB
05 - DataFrames II_ Filtering Data/001 This Module's Dataset + Memory Optimization.mp4 75.27 MB
05 - DataFrames II_ Filtering Data/002 Filter a DataFrame Based on A Condition.mp4 82.28 MB
05 - DataFrames II_ Filtering Data/003 Filter DataFrame with More than One Condition (AND - &).mp4 14.76 MB
05 - DataFrames II_ Filtering Data/004 Filter DataFrame with More than One Condition (OR - _).mp4 27.47 MB
05 - DataFrames II_ Filtering Data/005 Check for Inclusion with the isin Method.mp4 20.56 MB
05 - DataFrames II_ Filtering Data/006 Check for Null and Present DataFrame Values with the isnull and notnull Methods.mp4 18.75 MB
05 - DataFrames II_ Filtering Data/007 Check For Inclusion Within a Range of Values with the between Method.mp4 26.54 MB
05 - DataFrames II_ Filtering Data/008 Check for Duplicate DataFrame Rows with the duplicated Method.mp4 53.7 MB
05 - DataFrames II_ Filtering Data/009 Delete Duplicate DataFrame Rows with the drop_duplicates Method.mp4 32.23 MB
05 - DataFrames II_ Filtering Data/010 Identify and Count Unique Values with the unique and nunique Methods.mp4 7.56 MB
06 - DataFrames III_ Data Extraction/001 Intro to the DataFrames III Module + Import Dataset.mp4 12.48 MB
06 - DataFrames III_ Data Extraction/002 Use the set_index and reset_index methods to define a new DataFrame index.mp4 17.59 MB
06 - DataFrames III_ Data Extraction/003 Retrieve Rows by Index Label with loc Accessor.mp4 34.39 MB
06 - DataFrames III_ Data Extraction/004 Retrieve Rows by Index Position with iloc Accessor.mp4 17.18 MB
06 - DataFrames III_ Data Extraction/005 Passing second arguments to the loc and iloc Accessors.mp4 25.65 MB
06 - DataFrames III_ Data Extraction/006 Set New Value for a Specific Cell or Cells In a Row.mp4 6.52 MB
06 - DataFrames III_ Data Extraction/007 Set Multiple Values in a DataFrame.mp4 16.11 MB
06 - DataFrames III_ Data Extraction/008 Rename Index Labels or Columns in a DataFrame.mp4 58.05 MB
06 - DataFrames III_ Data Extraction/009 Delete Rows or Columns from a DataFrame.mp4 29.04 MB
06 - DataFrames III_ Data Extraction/010 Create Random Sample with the sample Method.mp4 12.35 MB
06 - DataFrames III_ Data Extraction/011 Use the nsmallest _ nlargest methods to get rows with smallest _ largest values.mp4 28.3 MB
06 - DataFrames III_ Data Extraction/012 Filter A DataFrame with the where method.mp4 34.38 MB
06 - DataFrames III_ Data Extraction/013 Filter A DataFrame with the query method.mp4 33.05 MB
06 - DataFrames III_ Data Extraction/014 A Review of the apply Method on a pandas Series Object.mp4 18.63 MB
06 - DataFrames III_ Data Extraction/015 Apply a Function to every DataFrame Row with the apply Method.mp4 17.18 MB
06 - DataFrames III_ Data Extraction/016 Create a Copy of a DataFrame with the copy Method.mp4 36.08 MB
07 - Working with Text Data/001 Intro to the Working with Text Data Section.mp4 14.41 MB
07 - Working with Text Data/002 Common String Methods - lower, upper, title, and len.mp4 47.89 MB
07 - Working with Text Data/003 Use the str.replace method to replace all occurrences of character with another.mp4 38.91 MB
07 - Working with Text Data/004 Filter a DataFrame's Rows with String Methods.mp4 36.08 MB
07 - Working with Text Data/005 More DataFrame String Methods - strip, lstrip, and rstrip.mp4 7.89 MB
07 - Working with Text Data/006 Invoke String Methods on DataFrame Index and Columns.mp4 14.58 MB
07 - Working with Text Data/007 Split Strings by Characters with the str.split Method.mp4 28.23 MB
07 - Working with Text Data/008 More Practice with the str.split method on a Series.mp4 36.36 MB
07 - Working with Text Data/009 Exploring the expand and n Parameters of the str.split Method.mp4 27.64 MB
08 - MultiIndex/001 Intro to the MultiIndex Module.mp4 9.84 MB
08 - MultiIndex/002 Create a MultiIndex on a DataFrame with the set_index Method.mp4 22.14 MB
08 - MultiIndex/003 Extract Index Level Values with the get_level_values Method.mp4 9.89 MB
08 - MultiIndex/004 Change Index Level Name with the set_names Method.mp4 9.09 MB
08 - MultiIndex/005 The sort_index Method on a MultiIndex DataFrame.mp4 16.77 MB
08 - MultiIndex/006 Extract Rows from a MultiIndex DataFrame.mp4 22.8 MB
08 - MultiIndex/007 The transpose Method on a MultiIndex DataFrame.mp4 17.97 MB
08 - MultiIndex/008 The .swaplevel() Method.mp4 4.88 MB
08 - MultiIndex/009 The .stack() Method.mp4 36.38 MB
08 - MultiIndex/010 The .unstack() Method, Part 1.mp4 11.42 MB
08 - MultiIndex/011 The .unstack() Method, Part 2.mp4 31.22 MB
08 - MultiIndex/012 The .unstack() Method, Part 3.mp4 27.27 MB
08 - MultiIndex/013 The pivot Method.mp4 15.72 MB
08 - MultiIndex/014 Use the pivot_table method to create an aggregate summary of a DataFrame.mp4 32.73 MB
08 - MultiIndex/015 Use the pd.melt method to create a narrow dataset from a wide one.mp4 47.79 MB
09 - The GroupBy Object/001 Intro to the Groupby Module.mp4 23.13 MB
09 - The GroupBy Object/002 First Operations with groupby Object.mp4 61.64 MB
09 - The GroupBy Object/003 Retrieve a group from a GroupBy object with the get_group Method.mp4 9.18 MB
09 - The GroupBy Object/004 Methods on the Groupby Object and DataFrame Columns.mp4 33.03 MB
09 - The GroupBy Object/005 Grouping by Multiple Columns.mp4 24.47 MB
09 - The GroupBy Object/006 The .agg() Method.mp4 41.47 MB
09 - The GroupBy Object/007 Iterating through Groups.mp4 33.74 MB
10 - Merging, Joining, and Concatenating DataFrames/001 Intro to the Merging, Joining, and Concatenating Section.mp4 11.89 MB
10 - Merging, Joining, and Concatenating DataFrames/002 The pd.concat Method, Part 1.mp4 10.48 MB
10 - Merging, Joining, and Concatenating DataFrames/003 The pd.concat Method, Part 2.mp4 15.31 MB
10 - Merging, Joining, and Concatenating DataFrames/004 Inner Joins, Part 1.mp4 43.41 MB
10 - Merging, Joining, and Concatenating DataFrames/005 Inner Joins, Part 2.mp4 20.8 MB
10 - Merging, Joining, and Concatenating DataFrames/006 Outer Joins.mp4 59.65 MB
10 - Merging, Joining, and Concatenating DataFrames/007 Left Joins.mp4 63.15 MB
10 - Merging, Joining, and Concatenating DataFrames/008 The left_on and right_on Parameters.mp4 48.52 MB
10 - Merging, Joining, and Concatenating DataFrames/009 Merging by Indexes with the left_index and right_index Parameters.mp4 53.98 MB
10 - Merging, Joining, and Concatenating DataFrames/010 The .join() Method.mp4 5.49 MB
10 - Merging, Joining, and Concatenating DataFrames/011 The pd.merge() Method.mp4 10.28 MB
11 - Working with Dates and Times in Datasets/001 Intro to the Working with Dates and Times Module.mp4 5.58 MB
11 - Working with Dates and Times in Datasets/002 Review of Python's datetime Module.mp4 29.2 MB
11 - Working with Dates and Times in Datasets/003 The pandas Timestamp Object.mp4 17.4 MB
11 - Working with Dates and Times in Datasets/004 The pandas DateTimeIndex Object.mp4 13.06 MB
11 - Working with Dates and Times in Datasets/005 The pd.to_datetime() Method.mp4 50 MB
11 - Working with Dates and Times in Datasets/006 Create Range of Dates with the pd.date_range() Method, Part 1.mp4 62.28 MB
11 - Working with Dates and Times in Datasets/007 Create Range of Dates with the pd.date_range() Method, Part 2.mp4 56.29 MB
11 - Working with Dates and Times in Datasets/008 Create Range of Dates with the pd.date_range() Method, Part 3.mp4 25.69 MB
11 - Working with Dates and Times in Datasets/009 The .dt Accessor.mp4 17.51 MB
11 - Working with Dates and Times in Datasets/010 Install pandas-datareader Library.mp4 22.6 MB
11 - Working with Dates and Times in Datasets/011 Import Financial Data Set with pandas_datareader Library.mp4 19.23 MB
11 - Working with Dates and Times in Datasets/012 Selecting Rows from a DataFrame with a DateTimeIndex.mp4 32.14 MB
11 - Working with Dates and Times in Datasets/013 Timestamp Object Attributes and Methods.mp4 28.3 MB
11 - Working with Dates and Times in Datasets/014 The pd.DateOffset Object.mp4 18.74 MB
11 - Working with Dates and Times in Datasets/015 Timeseries Offsets.mp4 32.43 MB
11 - Working with Dates and Times in Datasets/016 The Timedelta Object.mp4 17.06 MB
11 - Working with Dates and Times in Datasets/017 Timedeltas in a Dataset.mp4 32.94 MB
12 - Input and Output in pandas/001 Intro to the Input and Output Section.mp4 1.92 MB
12 - Input and Output in pandas/002 Pass a URL to the pd.read_csv Method.mp4 19.83 MB
12 - Input and Output in pandas/003 Quick Object Conversions.mp4 21.65 MB
12 - Input and Output in pandas/004 Export CSV File with the to_csv Method.mp4 24.83 MB
12 - Input and Output in pandas/005 Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 11.39 MB
12 - Input and Output in pandas/006 Import Excel File into pandas with the read_excel Method.mp4 39.23 MB
12 - Input and Output in pandas/007 Export Excel File with the to_excel Method.mp4 36.88 MB
13 - Visualization/001 Intro to Visualization Section.mp4 6.27 MB
13 - Visualization/002 Use the plot Method to Render a Line Chart.mp4 16.24 MB
13 - Visualization/003 Modifying Plot Aesthetics with matplotlib Templates.mp4 13.8 MB
13 - Visualization/004 Creating Bar Graphs to Show Counts.mp4 13.45 MB
13 - Visualization/005 Creating Pie Charts to Represent Proportions.mp4 10.7 MB
14 - Options and Settings in pandas/001 Introduction to the Options and Settings Module.mp4 2.54 MB
14 - Options and Settings in pandas/002 Changing pandas Options with Attributes and Dot Syntax.mp4 40.81 MB
14 - Options and Settings in pandas/003 Changing pandas Options with Methods.mp4 32.99 MB
14 - Options and Settings in pandas/004 The precision Option.mp4 12.93 MB
15 - Conclusion/001 Conclusion.mp4 2.39 MB
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