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Data Analysis with Pandas and Python
magnet:?xt=urn:btih:b87385f0d8f1fc9fa342f8b4e3ed2473465dfe88&dn=Data Analysis with Pandas and Python
磁力链接详情
Hash值:
b87385f0d8f1fc9fa342f8b4e3ed2473465dfe88
点击数:
116
文件大小:
2.33 GB
文件数量:
173
创建日期:
2018-7-27 16:09
最后访问:
2024-7-24 02:50
访问标签:
Data
Analysis
with
Pandas
and
Python
文件列表详情
01 Installation and Setup/006 Mac OS - Update Anaconda Libraries.mp4 35.27 MB
01 Installation and Setup/001 Introduction to the Course.mp4 34 MB
01 Installation and Setup/003 Mac OS - Download the Anaconda Distribution.mp4 7.92 MB
01 Installation and Setup/004 Mac OS - Install Anaconda Distribution.mp4 22.76 MB
01 Installation and Setup/005 Mac OS - Access the Terminal.mp4 8.84 MB
01 Installation and Setup/007 Mac OS - Unpack Course Materials The Startdown and Shutdown Process.mp4 22.15 MB
01 Installation and Setup/008 Windows - Download the Anaconda Distribution.mp4 9.27 MB
01 Installation and Setup/009 Windows - Install Anaconda Distribution.mp4 18.58 MB
01 Installation and Setup/010 Windows - Access the Command Prompt and Update Anaconda Libraries.mp4 22.5 MB
01 Installation and Setup/011 Windows - Unpack Course Materials The Startdown and Shutdown Process.mp4 17.72 MB
01 Installation and Setup/012 Intro to the Jupyter Notebook Interface.mp4 9.31 MB
01 Installation and Setup/013 Cell Types and Cell Modes.mp4 11.67 MB
01 Installation and Setup/014 Code Cell Execution.mp4 8.22 MB
01 Installation and Setup/015 Popular Keyboard Shortcuts.mp4 6.26 MB
01 Installation and Setup/016 Import Libraries into Jupyter Notebook.mp4 11.53 MB
01 Installation and Setup/017 Python Crash Course Part 1 - Data Types and Variables.mp4 11.98 MB
01 Installation and Setup/018 Python Crash Course Part 2 - Lists.mp4 9 MB
01 Installation and Setup/019 Python Crash Course Part 3 - Dictionaries.mp4 7.2 MB
01 Installation and Setup/020 Python Crash Course Part 4 - Operators.mp4 7.87 MB
01 Installation and Setup/021 Python Crash Course Part 5 - Functions.mp4 10.12 MB
02 Series/022 Create Jupyter Notebook for the Series Module.mp4 3.8 MB
02 Series/023 Create A Series Object from a Python List.mp4 18.12 MB
02 Series/024 Create A Series Object from a Python Dictionary.mp4 5.19 MB
02 Series/025 Intro to Attributes.mp4 12.85 MB
02 Series/026 Intro to Methods.mp4 7.91 MB
02 Series/027 Parameters and Arguments.mp4 18.28 MB
02 Series/028 Import Series with the .read_csv() Method.mp4 21.14 MB
02 Series/029 The .head() and .tail() Methods.mp4 6.47 MB
02 Series/030 Python Built-In Functions.mp4 9.87 MB
02 Series/031 More Series Attributes.mp4 11.66 MB
02 Series/032 The .sort_values() Method.mp4 10.83 MB
02 Series/033 The inplace Parameter.mp4 9.39 MB
02 Series/034 The .sort_index() Method.mp4 8.57 MB
02 Series/035 Pythons in Keyword.mp4 7.3 MB
02 Series/036 Extract Series Values by Index Position.mp4 8.9 MB
02 Series/037 Extract Series Values by Index Label.mp4 13.73 MB
02 Series/038 The .get() Method on a Series.mp4 9.56 MB
02 Series/039 Math Methods on Series Objects.mp4 10.16 MB
02 Series/040 The .idxmax() and .idxmin() Methods.mp4 5.75 MB
02 Series/041 The .value_counts() Method.mp4 6.73 MB
02 Series/042 The .apply() Method.mp4 12.31 MB
02 Series/043 The .map() Method.mp4 13.09 MB
03 DataFrames I/044 Intro to DataFrames I Module.mp4 17.63 MB
03 DataFrames I/045 Shared Methods and Attributes between Series and DataFrames.mp4 15.62 MB
03 DataFrames I/046 Differences between Shared Methods.mp4 13.1 MB
03 DataFrames I/047 Select One Column from a DataFrame.mp4 14.87 MB
03 DataFrames I/048 Select Two or More Columns from a DataFrame.mp4 9.93 MB
03 DataFrames I/049 Add New Column to DataFrame.mp4 17.23 MB
03 DataFrames I/050 Broadcasting Operations.mp4 18.23 MB
03 DataFrames I/051 A Review of the .value_counts() Method.mp4 8.42 MB
03 DataFrames I/052 Drop Rows with Null Values.mp4 19.2 MB
03 DataFrames I/053 Fill in Null Values with the .fillna() Method.mp4 10.75 MB
03 DataFrames I/054 The .astype() Method.mp4 23.86 MB
03 DataFrames I/055 Sort a DataFrame with the .sort_values() Method Part I.mp4 13.27 MB
03 DataFrames I/056 Sort a DataFrame with the .sort_values() Method Part II.mp4 8.83 MB
03 DataFrames I/057 Sort DataFrame with the .sort_index() Method.mp4 6.56 MB
03 DataFrames I/058 Rank Values with the .rank() Method.mp4 13.16 MB
04 DataFrames II/059 This Modules Dataset Memory Optimization.mp4 24.44 MB
04 DataFrames II/060 Filter a DataFrame Based on A Condition.mp4 27.4 MB
04 DataFrames II/061 Filter with More than One Condition (AND - ).mp4 9.29 MB
04 DataFrames II/062 Filter with More than One Condition (OR - ).mp4 16.75 MB
04 DataFrames II/063 The .isin() Method.mp4 12.53 MB
04 DataFrames II/064 The .isnull() and .notnull() Methods.mp4 12.26 MB
04 DataFrames II/065 The .between() Method.mp4 16.76 MB
04 DataFrames II/066 The .duplicated() Method.mp4 19.56 MB
04 DataFrames II/067 The .drop_duplicates() Method.mp4 17.55 MB
04 DataFrames II/068 The .unique() and .nunique() Methods.mp4 8.19 MB
05 DataFrames III/069 Intro to the DataFrames III Module Import Dataset.mp4 7.67 MB
05 DataFrames III/070 The .set_index() and .reset_index() Methods.mp4 13.19 MB
05 DataFrames III/071 Retrieve Rows by Index Label with .loc.mp4 25.87 MB
05 DataFrames III/072 Retrieve Rows by Index Position with .iloc.mp4 13.3 MB
05 DataFrames III/073 The Catch-All .ix Method.mp4 18.56 MB
05 DataFrames III/074 Second Arguments to .loc .iloc and .ix Methods.mp4 12.36 MB
05 DataFrames III/075 Set New Values for a Specific Cell or Row.mp4 8.89 MB
05 DataFrames III/076 Set Multiple Values in DataFrame.mp4 20.54 MB
05 DataFrames III/077 Rename Index Labels or Columns in a DataFrame.mp4 13.39 MB
05 DataFrames III/078 Delete Rows or Columns from a DataFrame.mp4 16.21 MB
05 DataFrames III/079 Create Random Sample with the .sample() Method.mp4 9.33 MB
05 DataFrames III/080 The .nsmallest() and .nlargest() Methods.mp4 12.07 MB
05 DataFrames III/081 Filtering with the .where() Method.mp4 13.56 MB
05 DataFrames III/082 The .query() Method.mp4 19.92 MB
05 DataFrames III/083 A Review of the .apply() Method on Single Columns.mp4 11.75 MB
05 DataFrames III/084 The .apply() Method with Row Values.mp4 13.41 MB
05 DataFrames III/085 The .copy() Method.mp4 15.44 MB
06 Working with Text Data/086 Intro to the Working with Text Data Module.mp4 13.86 MB
06 Working with Text Data/087 Common String Methods - lower upper title and len.mp4 14.88 MB
06 Working with Text Data/088 The .str.replace() Method.mp4 16 MB
06 Working with Text Data/089 Filtering with String Methods.mp4 15.54 MB
06 Working with Text Data/090 More String Methods - strip lstrip and rstrip.mp4 9.54 MB
06 Working with Text Data/091 String Methods on Index and Columns.mp4 11.12 MB
06 Working with Text Data/092 Split Strings by Characters with .str.split() Method.mp4 17.52 MB
06 Working with Text Data/093 More Practice with Splits.mp4 11.92 MB
06 Working with Text Data/094 The expand and n Parameters of the .str.split() Method.mp4 15.3 MB
07 MultiIndex/095 Intro to the MultiIndex Module.mp4 8.32 MB
07 MultiIndex/096 Create a MultiIndex with the set_index() Method.mp4 21.05 MB
07 MultiIndex/097 The .get_level_values() Method.mp4 16.54 MB
07 MultiIndex/098 The .set_names() Method.mp4 6.09 MB
07 MultiIndex/099 The sort_index() Method.mp4 10.25 MB
07 MultiIndex/100 Extract Rows from a MultiIndex DataFrame.mp4 17.34 MB
07 MultiIndex/101 The .transpose() Method and MultiIndex on Column Level.mp4 11.92 MB
07 MultiIndex/102 The .swaplevel() Method.mp4 5.18 MB
07 MultiIndex/103 The .stack() Method.mp4 13.19 MB
07 MultiIndex/104 The .unstack() Method Part 1.mp4 8.48 MB
07 MultiIndex/105 The .unstack() Method Part 2.mp4 14.53 MB
07 MultiIndex/106 The .unstack() Method Part 3.mp4 11.96 MB
07 MultiIndex/107 The .pivot() Method.mp4 12.11 MB
07 MultiIndex/108 The .pivot_table() Method.mp4 22.16 MB
07 MultiIndex/109 The pd.melt() Method.mp4 17.26 MB
08 GroupBy/110 Intro to the Groupby Module.mp4 14.29 MB
08 GroupBy/111 First Operations with groupby Object.mp4 23.08 MB
08 GroupBy/112 Retrieve A Group with the .get_group() Method.mp4 10.14 MB
08 GroupBy/113 Methods on the Groupby Object and DataFrame Columns.mp4 20.49 MB
08 GroupBy/114 Grouping by Multiple Columns.mp4 10.34 MB
08 GroupBy/115 The .agg() Method.mp4 13.18 MB
08 GroupBy/116 Iterating through Groups.mp4 21.37 MB
09 Merging Joining and Concatenating/117 Intro to the Merging Joining and Concatenating Module.mp4 11.46 MB
09 Merging Joining and Concatenating/118 The pd.concat() Method Part 1.mp4 12.56 MB
09 Merging Joining and Concatenating/119 The pd.concat() Method Part 2.mp4 13.2 MB
09 Merging Joining and Concatenating/120 The .append() Method on a DataFrame.mp4 5.13 MB
09 Merging Joining and Concatenating/121 Inner Joins Part 1.mp4 17.92 MB
09 Merging Joining and Concatenating/122 Inner Joins Part 2.mp4 17.75 MB
09 Merging Joining and Concatenating/123 Outer Joins.mp4 25.94 MB
09 Merging Joining and Concatenating/124 Left Joins.mp4 20.99 MB
09 Merging Joining and Concatenating/125 The left_on and right_on Parameters.mp4 20.24 MB
09 Merging Joining and Concatenating/126 Merging by Indexes with the left_index and right_index Parameters.mp4 22.7 MB
09 Merging Joining and Concatenating/127 The .join() Method.mp4 6.27 MB
09 Merging Joining and Concatenating/128 The pd.merge() Method.mp4 6.84 MB
10 Working with Dates and Times/129 Intro to the Working with Dates and Times Module.mp4 6.32 MB
10 Working with Dates and Times/130 Review of Pythons datetime Module.mp4 16.73 MB
10 Working with Dates and Times/131 The pandas Timestamp Object.mp4 12.8 MB
10 Working with Dates and Times/132 The pandas DateTimeIndex Object.mp4 9.65 MB
10 Working with Dates and Times/133 The pd.to_datetime() Method.mp4 22.88 MB
10 Working with Dates and Times/134 Create Range of Dates with the pd.date_range() Method Part 1.mp4 19.68 MB
10 Working with Dates and Times/135 Create Range of Dates with the pd.date_range() Method Part 2.mp4 18.54 MB
10 Working with Dates and Times/136 Create Range of Dates with the pd.date_range() Method Part 3.mp4 16.33 MB
10 Working with Dates and Times/137 The .dt Accessor.mp4 13.68 MB
10 Working with Dates and Times/138 Install pandas-datareader Library.mp4 5.9 MB
10 Working with Dates and Times/139 Import Financial Data Set with pandas_datareader Library.mp4 25.48 MB
10 Working with Dates and Times/140 Selecting Rows from a DataFrame with a DateTimeIndex.mp4 18.34 MB
10 Working with Dates and Times/141 Timestamp Object Attributes.mp4 19.57 MB
10 Working with Dates and Times/142 The .truncate() Method.mp4 9.04 MB
10 Working with Dates and Times/143 pd.DateOffset Objects.mp4 25.58 MB
10 Working with Dates and Times/144 More Fun with pd.DateOffset Objects.mp4 31.91 MB
10 Working with Dates and Times/145 The pandas Timedelta Object.mp4 15.41 MB
10 Working with Dates and Times/146 Timedeltas in a Dataset.mp4 19.55 MB
11 Panels/147 Intro to the Module Fetch Panel Dataset from Google Finance.mp4 13.67 MB
11 Panels/148 The Axes of a Panel Object.mp4 16.31 MB
11 Panels/149 Panel Attributes.mp4 10.49 MB
11 Panels/150 Use Bracket Notation to Extract a DataFrame from a Panel.mp4 8.25 MB
11 Panels/151 Extracting with the .loc .iloc and .ix Methods.mp4 13.53 MB
11 Panels/152 Convert Panel to a MultiIndex DataFrame (and Vice Versa).mp4 8.68 MB
11 Panels/153 The .major_xs() Method.mp4 12.11 MB
11 Panels/154 The .minor_xs() Method.mp4 13.62 MB
11 Panels/155 Transpose a Panel with the .transpose() Method.mp4 15.73 MB
11 Panels/156 The .swapaxes() Method.mp4 9.71 MB
12 Input and Output/157 Intro to the Input and Output Module.mp4 2.8 MB
12 Input and Output/158 Feed pd.read_csv() Method a URL Argument.mp4 7.6 MB
12 Input and Output/159 Quick Object Conversions.mp4 11.35 MB
12 Input and Output/160 Export DataFrame to CSV File with the .to_csv() Method.mp4 11.36 MB
12 Input and Output/161 Install xlrd and openpyxl Libraries to Read and Write Excel Files.mp4 5.98 MB
12 Input and Output/162 Import Excel File into pandas.mp4 19.13 MB
12 Input and Output/163 Export Excel File.mp4 17.8 MB
13 Visualization/164 Intro to Visualization Module.mp4 7.31 MB
13 Visualization/165 The .plot() Method.mp4 18.97 MB
13 Visualization/166 Modifying Aesthetics with Templates.mp4 12.08 MB
13 Visualization/167 Bar Graphs.mp4 12.27 MB
13 Visualization/168 Pie Charts.mp4 9.87 MB
13 Visualization/169 Histograms.mp4 12.16 MB
14 Options and Settings/170 Introduction to the Options and Settings Module.mp4 3.32 MB
14 Options and Settings/171 Changing pandas Options with Attributes and Dot Syntax.mp4 19.83 MB
14 Options and Settings/172 Changing pandas Options with Methods.mp4 13.92 MB
14 Options and Settings/173 The precision Option.mp4 6.1 MB
15 Conclusion/174 Conclusion.mp4 2.95 MB
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