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Премиум
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    Introduction to the Course
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    About Me
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    MacOS - Download the Anaconda Distribution
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    MacOS - Install Anaconda Distribution
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    MacOS - Access the Terminal
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    MacOS - Create Conda Environment and Install Pandas
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    MacOS - Unpack Course Materials + The Start and Shutdown Process
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    Windows - Download the Anaconda Distribution
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    Windows - Install Anaconda Distribution
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    Windows - Access the Command Prompt and Update Anaconda Libraries
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    Windows - Unpack Course Materials + The Startdown and Shutdown Process
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    Intro to the Jupyter Notebook Interface
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    Cell Types and Cell Modes
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    Code Cell Execution
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    Popular Keyboard Shortcuts
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    Import Libraries into Jupyter Notebook
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    Python Crash Course, Part 1 - Data Types and Variables
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    Python Crash Course, Part 2 - Lists
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    Python Crash Course, Part 3 - Dictionaries
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    Python Crash Course, Part 4 - Operators
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    Python Crash Course, Part 5 - Functions
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    Create Jupyter Notebook for the Series Module
  • Урок 23. 00:10:33
    Create A Series Object from a Python List
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    Create A Series Object from a Python Dictionary
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    Intro to Attributes
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    Intro to Methods
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    Parameters and Arguments
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    Import Series with the .read_csv() Method
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    The .head() and .tail() Methods
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    Python Built-In Functions
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    More Series Attributes
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    The .sort_values() Method
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    The inplace Parameter
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    The .sort_index() Method
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    Python's in Keyword
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    Extract Series Values by Index Position
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    Extract Series Values by Index Label
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    The .get() Method on a Series
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    Math Methods on Series Objects
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    The .idxmax() and .idxmin() Methods
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    The .value_counts() Method
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    The .apply() Method
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    The .map() Method
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    Intro to DataFrames I Module
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    Shared Methods and Attributes between Series and DataFrames
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    Differences between Shared Methods
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    Select One Column from a DataFrame
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    Select Two or More Columns from a DataFrame
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    Add New Column to DataFrame
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    Broadcasting Operations
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    A Review of the .value_counts() Method
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    Drop Rows with Null Values
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    Fill in Null Values with the .fillna() Method
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    The .astype() Method
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    Sort a DataFrame with the .sort_values() Method, Part I
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    Sort a DataFrame with the .sort_values() Method, Part II
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    Sort DataFrame with the .sort_index() Method
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    Rank Values with the .rank() Method
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    This Module's Dataset + Memory Optimization
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    Filter a DataFrame Based on A Condition
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    Filter with More than One Condition (AND - &)
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    Filter with More than One Condition (OR - |)
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    The .isin() Method
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    The .isnull() and .notnull() Methods
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    The .between() Method
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    The .duplicated() Method
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    The .drop_duplicates() Method
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    The .unique() and .nunique() Methods
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    Intro to the DataFrames III Module + Import Dataset
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    The .set_index() and .reset_index() Methods
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    Retrieve Rows by Index Label with .loc[]
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    Retrieve Rows by Index Position with .iloc[]
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    The Catch-All .ix[] Method
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    Second Arguments to .loc[], .iloc[], and .ix[] Methods
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    Set New Values for a Specific Cell or Row
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    Set Multiple Values in DataFrame
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    Rename Index Labels or Columns in a DataFrame
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    Delete Rows or Columns from a DataFrame
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    Create Random Sample with the .sample() Method
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    The .nsmallest() and .nlargest() Methods
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    Filtering with the .where() Method
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    The .query() Method
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    A Review of the .apply() Method on Single Columns
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    The .apply() Method with Row Values
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    The .copy() Method
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    Intro to the Working with Text Data Module
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    Common String Methods - lower, upper, title, and len
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    The .str.replace() Method
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    Filtering with String Methods
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    More String Methods - strip, lstrip, and rstrip
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    String Methods on Index and Columns
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    Split Strings by Characters with .str.split() Method
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    More Practice with Splits
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    The expand and n Parameters of the .str.split() Method
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    Intro to the MultiIndex Module
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    Create a MultiIndex with the set_index() Method
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    The .get_level_values() Method
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    The .set_names() Method
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    The sort_index() Method
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    Extract Rows from a MultiIndex DataFrame
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    The .transpose() Method and MultiIndex on Column Level
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    The .swaplevel() Method
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    The .stack() Method
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    The .unstack() Method, Part 1
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    The .unstack() Method, Part 2
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    The .unstack() Method, Part 3
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    The .pivot() Method
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    The .pivot_table() Method
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    The pd.melt() Method
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    Intro to the Groupby Module
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    First Operations with groupby Object
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    Retrieve A Group with the .get_group() Method
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    Methods on the Groupby Object and DataFrame Columns
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    Grouping by Multiple Columns
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    The .agg() Method
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    Iterating through Groups
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    Intro to the Merging, Joining, and Concatenating Module
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    The pd.concat() Method, Part 1
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    The pd.concat() Method, Part 2
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    The .append() Method on a DataFrame
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    Inner Joins, Part 1
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    Inner Joins, Part 2
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    Outer Joins
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    Left Joins
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    The left_on and right_on Parameters
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    Merging by Indexes with the left_index and right_index Parameters
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    The .join() Method
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    The pd.merge() Method
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    Intro to the Working with Dates and Times Module
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    Review of Python's datetime Module
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    The pandas Timestamp Object
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    The pandas DateTimeIndex Object
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    The pd.to_datetime() Method
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    Create Range of Dates with the pd.date_range() Method, Part 1
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    Create Range of Dates with the pd.date_range() Method, Part 2
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    Create Range of Dates with the pd.date_range() Method, Part 3
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    The .dt Accessor
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    Install pandas-datareader Library
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    Import Financial Data Set with pandas_datareader Library
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    Selecting Rows from a DataFrame with a DateTimeIndex
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    Timestamp Object Attributes
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    The .truncate() Method
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    pd.DateOffset Objects
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    More Fun with pd.DateOffset Objects
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    The pandas Timedelta Object
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    Timedeltas in a Dataset
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    Intro to the Module + Fetch Panel Dataset from Google Finance
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    The Axes of a Panel Object
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    Panel Attributes
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    Use Bracket Notation to Extract a DataFrame from a Panel
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    Extracting with the .loc, .iloc, and .ix Methods
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    Convert Panel to a MultiIndex DataFrame (and Vice Versa)
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    The .major_xs() Method
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    The .minor_xs() Method
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    Transpose a Panel with the .transpose() Method
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    The .swapaxes() Method
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    Intro to the Input and Output Module
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    Feed pd.read_csv() Method a URL Argument
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    Quick Object Conversions
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    Export DataFrame to CSV File with the .to_csv() Method
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    Install xlrd and openpyxl Libraries to Read and Write Excel Files
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    Import Excel File into pandas
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    Export Excel File
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    Intro to Visualization Module
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    The .plot() Method
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    Modifying Aesthetics with Templates
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    Bar Graphs
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    Pie Charts
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    Histograms
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    Introduction to the Options and Settings Module
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    Changing pandas Options with Attributes and Dot Syntax
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    Changing pandas Options with Methods
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    The precision Option
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    Conclusion