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Урок 1.
00:12:15
Introduction to the Course
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Урок 2.
00:00:57
About Me
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Урок 3.
00:03:56
MacOS - Download the Anaconda Distribution
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Урок 4.
00:10:39
MacOS - Install Anaconda Distribution
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Урок 5.
00:08:35
MacOS - Access the Terminal
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Урок 6.
00:13:08
MacOS - Create Conda Environment and Install Pandas
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Урок 7.
00:12:33
MacOS - Unpack Course Materials + The Start and Shutdown Process
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Урок 8.
00:03:48
Windows - Download the Anaconda Distribution
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Урок 9.
00:05:17
Windows - Install Anaconda Distribution
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Урок 10.
00:10:12
Windows - Access the Command Prompt and Update Anaconda Libraries
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Урок 11.
00:08:50
Windows - Unpack Course Materials + The Startdown and Shutdown Process
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Урок 12.
00:05:15
Intro to the Jupyter Notebook Interface
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Урок 13.
00:07:04
Cell Types and Cell Modes
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Урок 14.
00:04:48
Code Cell Execution
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Урок 15.
00:03:07
Popular Keyboard Shortcuts
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Урок 16.
00:07:10
Import Libraries into Jupyter Notebook
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Урок 17.
00:07:06
Python Crash Course, Part 1 - Data Types and Variables
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Урок 18.
00:05:07
Python Crash Course, Part 2 - Lists
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Урок 19.
00:04:20
Python Crash Course, Part 3 - Dictionaries
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Урок 20.
00:04:31
Python Crash Course, Part 4 - Operators
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Урок 21.
00:06:03
Python Crash Course, Part 5 - Functions
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Урок 22.
00:02:13
Create Jupyter Notebook for the Series Module
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Урок 23.
00:10:33
Create A Series Object from a Python List
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Урок 24.
00:03:07
Create A Series Object from a Python Dictionary
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Урок 25.
00:07:18
Intro to Attributes
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Урок 26.
00:04:43
Intro to Methods
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Урок 27.
00:10:11
Parameters and Arguments
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Урок 28.
00:10:24
Import Series with the .read_csv() Method
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Урок 29.
00:03:43
The .head() and .tail() Methods
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Урок 30.
00:05:21
Python Built-In Functions
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Урок 31.
00:06:14
More Series Attributes
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Урок 32.
00:06:05
The .sort_values() Method
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Урок 33.
00:05:08
The inplace Parameter
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Урок 34.
00:04:39
The .sort_index() Method
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Урок 35.
00:04:01
Python's in Keyword
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Урок 36.
00:04:16
Extract Series Values by Index Position
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Урок 37.
00:07:23
Extract Series Values by Index Label
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Урок 38.
00:05:04
The .get() Method on a Series
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Урок 39.
00:05:40
Math Methods on Series Objects
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Урок 40.
00:03:11
The .idxmax() and .idxmin() Methods
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Урок 41.
00:03:40
The .value_counts() Method
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Урок 42.
00:06:47
The .apply() Method
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Урок 43.
00:06:53
The .map() Method
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Урок 44.
00:07:25
Intro to DataFrames I Module
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Урок 45.
00:07:38
Shared Methods and Attributes between Series and DataFrames
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Урок 46.
00:06:49
Differences between Shared Methods
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Урок 47.
00:07:58
Select One Column from a DataFrame
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Урок 48.
00:05:13
Select Two or More Columns from a DataFrame
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Урок 49.
00:08:04
Add New Column to DataFrame
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Урок 50.
00:09:07
Broadcasting Operations
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Урок 51.
00:03:55
A Review of the .value_counts() Method
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Урок 52.
00:06:42
Drop Rows with Null Values
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Урок 53.
00:04:25
Fill in Null Values with the .fillna() Method
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Урок 54.
00:10:39
The .astype() Method
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Урок 55.
00:05:47
Sort a DataFrame with the .sort_values() Method, Part I
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Урок 56.
00:04:14
Sort a DataFrame with the .sort_values() Method, Part II
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Урок 57.
00:03:00
Sort DataFrame with the .sort_index() Method
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Урок 58.
00:05:54
Rank Values with the .rank() Method
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Урок 59.
00:10:46
This Module's Dataset + Memory Optimization
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Урок 60.
00:12:58
Filter a DataFrame Based on A Condition
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Урок 61.
00:04:42
Filter with More than One Condition (AND - &)
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Урок 62.
00:08:36
Filter with More than One Condition (OR - |)
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Урок 63.
00:06:18
The .isin() Method
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Урок 64.
00:05:08
The .isnull() and .notnull() Methods
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Урок 65.
00:06:52
The .between() Method
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Урок 66.
00:09:06
The .duplicated() Method
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Урок 67.
00:08:17
The .drop_duplicates() Method
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Урок 68.
00:04:23
The .unique() and .nunique() Methods
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Урок 69.
00:03:24
Intro to the DataFrames III Module + Import Dataset
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Урок 70.
00:05:38
The .set_index() and .reset_index() Methods
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Урок 71.
00:09:43
Retrieve Rows by Index Label with .loc[]
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Урок 72.
00:06:08
Retrieve Rows by Index Position with .iloc[]
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Урок 73.
00:08:45
The Catch-All .ix[] Method
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Урок 74.
00:06:22
Second Arguments to .loc[], .iloc[], and .ix[] Methods
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Урок 75.
00:04:28
Set New Values for a Specific Cell or Row
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Урок 76.
00:09:17
Set Multiple Values in DataFrame
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Урок 77.
00:06:50
Rename Index Labels or Columns in a DataFrame
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Урок 78.
00:07:30
Delete Rows or Columns from a DataFrame
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Урок 79.
00:04:44
Create Random Sample with the .sample() Method
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Урок 80.
00:05:37
The .nsmallest() and .nlargest() Methods
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Урок 81.
00:05:04
Filtering with the .where() Method
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Урок 82.
00:09:07
The .query() Method
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Урок 83.
00:05:54
A Review of the .apply() Method on Single Columns
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Урок 84.
00:06:50
The .apply() Method with Row Values
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Урок 85.
00:07:06
The .copy() Method
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Урок 86.
00:05:56
Intro to the Working with Text Data Module
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Урок 87.
00:07:15
Common String Methods - lower, upper, title, and len
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Урок 88.
00:08:08
The .str.replace() Method
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Урок 89.
00:06:44
Filtering with String Methods
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Урок 90.
00:04:31
More String Methods - strip, lstrip, and rstrip
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Урок 91.
00:05:31
String Methods on Index and Columns
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Урок 92.
00:08:41
Split Strings by Characters with .str.split() Method
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Урок 93.
00:06:02
More Practice with Splits
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Урок 94.
00:07:01
The expand and n Parameters of the .str.split() Method
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Урок 95.
00:04:27
Intro to the MultiIndex Module
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Урок 96.
00:09:51
Create a MultiIndex with the set_index() Method
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Урок 97.
00:07:52
The .get_level_values() Method
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Урок 98.
00:03:09
The .set_names() Method
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Урок 99.
00:04:57
The sort_index() Method
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Урок 100.
00:08:33
Extract Rows from a MultiIndex DataFrame
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Урок 101.
00:05:49
The .transpose() Method and MultiIndex on Column Level
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Урок 102.
00:02:35
The .swaplevel() Method
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Урок 103.
00:06:01
The .stack() Method
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Урок 104.
00:03:39
The .unstack() Method, Part 1
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Урок 105.
00:06:10
The .unstack() Method, Part 2
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Урок 106.
00:05:10
The .unstack() Method, Part 3
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Урок 107.
00:06:35
The .pivot() Method
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Урок 108.
00:10:17
The .pivot_table() Method
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Урок 109.
00:06:00
The pd.melt() Method
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Урок 110.
00:07:43
Intro to the Groupby Module
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Урок 111.
00:09:34
First Operations with groupby Object
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Урок 112.
00:03:48
Retrieve A Group with the .get_group() Method
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Урок 113.
00:08:42
Methods on the Groupby Object and DataFrame Columns
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Урок 114.
00:04:36
Grouping by Multiple Columns
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Урок 115.
00:06:12
The .agg() Method
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Урок 116.
00:09:05
Iterating through Groups
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Урок 117.
00:05:48
Intro to the Merging, Joining, and Concatenating Module
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Урок 118.
00:05:40
The pd.concat() Method, Part 1
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Урок 119.
00:06:36
The pd.concat() Method, Part 2
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Урок 120.
00:02:04
The .append() Method on a DataFrame
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Урок 121.
00:09:19
Inner Joins, Part 1
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Урок 122.
00:09:01
Inner Joins, Part 2
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Урок 123.
00:12:24
Outer Joins
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Урок 124.
00:09:20
Left Joins
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Урок 125.
00:08:55
The left_on and right_on Parameters
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Урок 126.
00:11:03
Merging by Indexes with the left_index and right_index Parameters
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Урок 127.
00:03:16
The .join() Method
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Урок 128.
00:03:07
The pd.merge() Method
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Урок 129.
00:03:45
Intro to the Working with Dates and Times Module
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Урок 130.
00:09:32
Review of Python's datetime Module
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Урок 131.
00:07:16
The pandas Timestamp Object
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Урок 132.
00:05:24
The pandas DateTimeIndex Object
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Урок 133.
00:11:12
The pd.to_datetime() Method
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Урок 134.
00:10:23
Create Range of Dates with the pd.date_range() Method, Part 1
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Урок 135.
00:09:05
Create Range of Dates with the pd.date_range() Method, Part 2
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Урок 136.
00:07:51
Create Range of Dates with the pd.date_range() Method, Part 3
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Урок 137.
00:07:30
The .dt Accessor
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Урок 138.
00:02:31
Install pandas-datareader Library
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Урок 139.
00:10:43
Import Financial Data Set with pandas_datareader Library
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Урок 140.
00:08:02
Selecting Rows from a DataFrame with a DateTimeIndex
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Урок 141.
00:07:28
Timestamp Object Attributes
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Урок 142.
00:03:00
The .truncate() Method
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Урок 143.
00:12:01
pd.DateOffset Objects
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Урок 144.
00:14:07
More Fun with pd.DateOffset Objects
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Урок 145.
00:08:40
The pandas Timedelta Object
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Урок 146.
00:09:31
Timedeltas in a Dataset
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Урок 147.
00:07:18
Intro to the Module + Fetch Panel Dataset from Google Finance
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Урок 148.
00:07:43
The Axes of a Panel Object
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Урок 149.
00:05:05
Panel Attributes
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Урок 150.
00:04:00
Use Bracket Notation to Extract a DataFrame from a Panel
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Урок 151.
00:06:58
Extracting with the .loc, .iloc, and .ix Methods
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Урок 152.
00:04:05
Convert Panel to a MultiIndex DataFrame (and Vice Versa)
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Урок 153.
00:05:47
The .major_xs() Method
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Урок 154.
00:06:25
The .minor_xs() Method
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Урок 155.
00:07:43
Transpose a Panel with the .transpose() Method
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Урок 156.
00:04:23
The .swapaxes() Method
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Урок 157.
00:01:34
Intro to the Input and Output Module
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Урок 158.
00:03:49
Feed pd.read_csv() Method a URL Argument
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Урок 159.
00:05:05
Quick Object Conversions
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Урок 160.
00:05:49
Export DataFrame to CSV File with the .to_csv() Method
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Урок 161.
00:02:37
Install xlrd and openpyxl Libraries to Read and Write Excel Files
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Урок 162.
00:09:31
Import Excel File into pandas
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Урок 163.
00:08:43
Export Excel File
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Урок 164.
00:04:17
Intro to Visualization Module
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Урок 165.
00:09:14
The .plot() Method
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Урок 166.
00:05:21
Modifying Aesthetics with Templates
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Урок 167.
00:06:25
Bar Graphs
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Урок 168.
00:05:08
Pie Charts
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Урок 169.
00:06:10
Histograms
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Урок 170.
00:01:43
Introduction to the Options and Settings Module
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Урок 171.
00:06:57
Changing pandas Options with Attributes and Dot Syntax
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Урок 172.
00:06:14
Changing pandas Options with Methods
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Урок 173.
00:03:11
The precision Option
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Урок 174.
00:01:39
Conclusion
есть ли еще что-то от этого автора?