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[Tutorialsplanet.NET].url |
128б |
[Tutorialsplanet.NET].url |
128б |
[Tutorialsplanet.NET].url |
128б |
[Tutorialsplanet.NET].url |
128б |
[Tutorialsplanet.NET].url |
128б |
001 A Pandas Plotting Recap_en.srt |
8.48Кб |
001 A Pandas Plotting Recap.mp4 |
36.15Мб |
001 Applying Functions To Series_en.srt |
11.60Кб |
001 Applying Functions To Series.mp4 |
50.51Мб |
001 Casting Types With astype()_en.srt |
10.38Кб |
001 Casting Types With astype().mp4 |
45.21Мб |
001 Changing Seaborn Themes_en.srt |
6.54Кб |
001 Changing Seaborn Themes.mp4 |
27.29Мб |
001 Concatenating Series_en.srt |
7.70Кб |
001 Concatenating Series.mp4 |
29.70Мб |
001 Countplot_en.srt |
5.45Кб |
001 Countplot.mp4 |
19.19Мб |
001 Course Welcome & Curriculum Walkthrough_en.srt |
12.73Кб |
001 Course Welcome & Curriculum Walkthrough.mp4 |
116.97Мб |
001 Creating Notebooks & Running Cells_en.srt |
11.06Кб |
001 Creating Notebooks & Running Cells.mp4 |
39.05Мб |
001 Datasets & CSV_en.srt |
9.09Кб |
001 Datasets & CSV.mp4 |
42.90Мб |
001 Dropping Columns_en.srt |
9.12Кб |
001 Dropping Columns.mp4 |
47.57Мб |
001 Filtering DataFrames With A Boolean Series_en.srt |
13.70Кб |
001 Filtering DataFrames With A Boolean Series.mp4 |
51.22Мб |
001 Groupby With Multiple Columns_en.srt |
10.27Кб |
001 Groupby With Multiple Columns.mp4 |
45.78Мб |
001 Introducing Groupby_en.srt |
8.09Кб |
001 Introducing Groupby.mp4 |
51.40Мб |
001 Introducing Jupyter Notebook!_en.srt |
9.41Кб |
001 Introducing Jupyter Notebook!.mp4 |
44.62Мб |
001 Intro to Matplotlib_en.srt |
6.84Кб |
001 Intro to Matplotlib.mp4 |
32.80Мб |
001 Intro to Seaborn_en.srt |
13.34Кб |
001 Intro to Seaborn.mp4 |
63.95Мб |
001 Min & Max_en.srt |
8.75Кб |
001 Min & Max.mp4 |
37.56Мб |
001 Renaming Columns and Index Labels_en.srt |
7.34Кб |
001 Renaming Columns and Index Labels.mp4 |
35.53Мб |
001 Selecting A Single Column_en.srt |
11.53Кб |
001 Selecting A Single Column.mp4 |
43.19Мб |
001 Set_Index Basics_en.srt |
14.58Кб |
001 Set_Index Basics.mp4 |
57.21Мб |
001 The String Datatype Vs. Object Datatype_en.srt |
10.62Кб |
001 The String Datatype Vs. Object Datatype.mp4 |
50.20Мб |
001 Why Dates Matter_en.srt |
5.71Кб |
001 Why Dates Matter.mp4 |
39.68Мб |
002 A Closer Look At Series_en.srt |
13.76Кб |
002 A Closer Look At Series.mp4 |
51.03Мб |
002 Apply() With Lambdas & Arguments_en.srt |
6.94Кб |
002 Apply() With Lambdas & Arguments.mp4 |
32.69Мб |
002 Changing Pandas Plot Styles_en.srt |
4.17Кб |
002 Changing Pandas Plot Styles.mp4 |
18.74Мб |
002 Concatenating Series By Index_en.srt |
6.08Кб |
002 Concatenating Series By Index.mp4 |
22.12Мб |
002 Converting With pd.to_datetime()_en.srt |
11.82Кб |
002 Converting With pd.to_datetime().mp4 |
44.79Мб |
002 Creating a MultiIndex With set_index_en.srt |
8.82Кб |
002 Creating a MultiIndex With set_index.mp4 |
38.37Мб |
002 Customizing Styles with set_style()_en.srt |
8.19Кб |
002 Customizing Styles with set_style().mp4 |
48.90Мб |
002 Dropping Rows_en.srt |
9.62Кб |
002 Dropping Rows.mp4 |
45.86Мб |
002 Exploring Groups_en.srt |
14.96Кб |
002 Exploring Groups.mp4 |
72.18Мб |
002 Filtering With Comparison Operators_en.srt |
12.20Кб |
002 Filtering With Comparison Operators.mp4 |
56.47Мб |
002 Introducing the Category Type_en.srt |
6.50Кб |
002 Introducing the Category Type.mp4 |
32.05Мб |
002 Mac Installation Walkthrough_en.srt |
10.58Кб |
002 Mac Installation Walkthrough.mp4 |
57.42Мб |
002 Our First Matplotlib Plots!_en.srt |
10.96Кб |
002 Our First Matplotlib Plots!.mp4 |
38.12Мб |
002 pd.read_csv & DataFrames_en.srt |
10.16Кб |
002 pd.read_csv & DataFrames.mp4 |
47.90Мб |
002 set_index The World Happiness Index Dataset_en.srt |
8.16Кб |
002 set_index The World Happiness Index Dataset.mp4 |
36.41Мб |
002 Shutting Down The Notebook Server_en.srt |
8.79Кб |
002 Shutting Down The Notebook Server.mp4 |
33.64Мб |
002 Strip & Swarm Plots_en.srt |
13.31Кб |
002 Strip & Swarm Plots.mp4 |
67.72Мб |
002 Sum & Count_en.srt |
14.35Кб |
002 Sum & Count.mp4 |
71.06Мб |
002 The Helpful load_dataset() method_en.srt |
6.64Кб |
002 The Helpful load_dataset() method.mp4 |
26.58Мб |
002 The replace() method_en.srt |
11.09Кб |
002 The replace() method.mp4 |
47.05Мб |
002 Upper(), Lower(), and Capitalize()_en.srt |
6.07Кб |
002 Upper(), Lower(), and Capitalize().mp4 |
28.48Мб |
002 What Do You Need To Know To Take This Course_en.srt |
2.92Кб |
002 What Do You Need To Know To Take This Course.mp4 |
16.78Мб |
003 Adding Labels and Titles to Pandas Plots_en.srt |
11.27Кб |
003 Adding Labels and Titles to Pandas Plots.mp4 |
55.16Мб |
003 Adding Static Columns_en.srt |
8.82Кб |
003 Adding Static Columns.mp4 |
41.25Мб |
003 Altering Spines With despine()_en.srt |
4.25Кб |
003 Altering Spines With despine().mp4 |
17.67Мб |
003 Apply() w DataFrames Columns_en.srt |
5.99Кб |
003 Apply() w DataFrames Columns.mp4 |
24.77Мб |
003 Boxplots_en.srt |
13.86Кб |
003 Boxplots.mp4 |
49.14Мб |
003 Casting With pd.to_numeric()_en.srt |
6.70Кб |
003 Casting With pd.to_numeric().mp4 |
32.66Мб |
003 DataAnalysisCourseMaterials.zip |
120.53Мб |
003 Do We Need plt.show()_en.srt |
3.92Кб |
003 Do We Need plt.show().mp4 |
14.98Мб |
003 Downloading The Course Materials IMPORTANT!!_en.srt |
4.19Кб |
003 Downloading The Course Materials IMPORTANT!!.mp4 |
28.41Мб |
003 How Cell Output Works_en.srt |
4.33Кб |
003 How Cell Output Works.mp4 |
6.12Мб |
003 Important Series Methods_en.srt |
7.53Кб |
003 Important Series Methods.mp4 |
17.36Мб |
003 Indexing String Series With []_en.srt |
8.44Кб |
003 Indexing String Series With [].mp4 |
40.10Мб |
003 Inner vs. Outer Joins_en.srt |
5.32Кб |
003 Inner vs. Outer Joins.mp4 |
18.38Мб |
003 Inspecting DataFrames head(), tail(), etc_en.srt |
11.31Кб |
003 Inspecting DataFrames head(), tail(), etc.mp4 |
68.09Мб |
003 Mean, Median, & Mode_en.srt |
8.45Кб |
003 Mean, Median, & Mode.mp4 |
30.25Мб |
003 Seaborn Scatterplots_en.srt |
15.11Кб |
003 Seaborn Scatterplots.mp4 |
75.23Мб |
003 setting index with read_csv_en.srt |
4.00Кб |
003 setting index with read_csv.mp4 |
20.54Мб |
003 Sorting A MultiIndex_en.srt |
12.39Кб |
003 Sorting A MultiIndex.mp4 |
41.24Мб |
003 Specifying Fancy Formats With pd.to_datetime()_en.srt |
13.52Кб |
003 Specifying Fancy Formats With pd.to_datetime().mp4 |
68.00Мб |
003 Split-Apply-Combine_en.srt |
13.80Кб |
003 Split-Apply-Combine.mp4 |
59.01Мб |
003 The Between Method_en.srt |
4.21Кб |
003 The Between Method.mp4 |
20.90Мб |
003 Updating Values Using loc[]_en.srt |
11.68Кб |
003 Updating Values Using loc[].mp4 |
27.09Мб |
003 Windows Installation Walkthrough_en.srt |
11.41Кб |
003 Windows Installation Walkthrough.mp4 |
54.66Мб |
004 Anatomy of Plots_en.srt |
14.14Кб |
004 Anatomy of Plots.mp4 |
45.36Мб |
004 Apply() w DataFrames Rows_en.srt |
9.46Кб |
004 Apply() w DataFrames Rows.mp4 |
42.06Мб |
004 Boxenplots_en.srt |
3.47Кб |
004 Boxenplots.mp4 |
15.38Мб |
004 Changing Color Palettes_en.srt |
13.15Кб |
004 Changing Color Palettes.mp4 |
68.68Мб |
004 Command Mode Shortcuts_en.srt |
10.64Кб |
004 Command Mode Shortcuts.mp4 |
35.46Мб |
004 Concatenating DataFrames By Columns_en.srt |
6.79Кб |
004 Concatenating DataFrames By Columns.mp4 |
26.67Мб |
004 Creating New Dynamic Columns_en.srt |
10.35Кб |
004 Creating New Dynamic Columns.mp4 |
41.07Мб |
004 DataTypes and info()_en.srt |
7.42Кб |
004 DataTypes and info().mp4 |
39.75Мб |
004 Dates and DataFrames_en.srt |
10.01Кб |
004 Dates and DataFrames.mp4 |
67.39Мб |
004 Describe With Numeric Values_en.srt |
6.94Кб |
004 Describe With Numeric Values.mp4 |
29.28Мб |
004 dropna() and isna()_en.srt |
12.70Кб |
004 dropna() and isna().mp4 |
55.98Мб |
004 How The Exercises Work_en.srt |
3.89Кб |
004 How The Exercises Work.mp4 |
18.66Мб |
004 Installing Pandas & Matplotlib (Mac & Windows)_en.srt |
6.88Кб |
004 Installing Pandas & Matplotlib (Mac & Windows).mp4 |
20.80Мб |
004 Seaborn Lineplots_en.srt |
18.11Кб |
004 Seaborn Lineplots.mp4 |
86.54Мб |
004 sort_values intro_en.srt |
6.18Кб |
004 sort_values intro.mp4 |
34.90Мб |
004 Stripping Whitespace With Strip()_en.srt |
6.24Кб |
004 Stripping Whitespace With Strip().mp4 |
18.66Мб |
004 The isin() Method_en.srt |
5.43Кб |
004 The isin() Method.mp4 |
26.75Мб |
004 unique & nunique_en.srt |
7.77Кб |
004 unique & nunique.mp4 |
29.62Мб |
004 Updating Multiple Values Using loc[]_en.srt |
6.11Кб |
004 Updating Multiple Values Using loc[].mp4 |
31.70Мб |
004 Using .loc[] With A MultiIndex_en.srt |
14.78Кб |
004 Using .loc[] With A MultiIndex.mp4 |
49.59Мб |
004 Using rename() When Plotting_en.srt |
4.81Кб |
004 Using rename() When Plotting.mp4 |
21.28Мб |
004 Using The Agg Method_en.srt |
10.67Кб |
004 Using The Agg Method.mp4 |
54.23Мб |
005 Agg with Custom Functions_en.srt |
7.04Кб |
005 Agg with Custom Functions.mp4 |
15.12Мб |
005 Cell Types Markdown Time!_en.srt |
8.26Кб |
005 Cell Types Markdown Time!.mp4 |
34.21Мб |
005 Closer Look at Pandas Bar Plots_en.srt |
10.88Кб |
005 Closer Look at Pandas Bar Plots.mp4 |
56.31Мб |
005 Combining Conditions Using AND (&)_en.srt |
17.99Кб |
005 Combining Conditions Using AND (&).mp4 |
83.67Мб |
005 Concatenating DataFrames By Index_en.srt |
4.69Кб |
005 Concatenating DataFrames By Index.mp4 |
16.40Мб |
005 Cross Sections With The XS Method_en.srt |
3.40Кб |
005 Cross Sections With The XS Method.mp4 |
12.89Мб |
005 Describe With Objects (Text) Values_en.srt |
11.85Кб |
005 Describe With Objects (Text) Values.mp4 |
54.48Мб |
005 Figsize & Plot Dimensions_en.srt |
6.76Кб |
005 Figsize & Plot Dimensions.mp4 |
28.70Мб |
005 fillna()_en.srt |
7.99Кб |
005 fillna().mp4 |
35.73Мб |
005 Finding The Highest pricesqft homes_en.srt |
6.05Кб |
005 Finding The Highest pricesqft homes.mp4 |
28.23Мб |
005 Making Updates With loc[] and Boolean Masks_en.srt |
11.05Кб |
005 Making Updates With loc[] and Boolean Masks.mp4 |
54.61Мб |
005 nlargest & nsmallest_en.srt |
10.62Кб |
005 nlargest & nsmallest.mp4 |
53.88Мб |
005 sorting by multiple columns_en.srt |
4.78Кб |
005 sorting by multiple columns.mp4 |
26.35Мб |
005 Splitting Text Values With Split()_en.srt |
10.02Кб |
005 Splitting Text Values With Split().mp4 |
49.17Мб |
005 The House Sales Dataset Walkthrough_en.srt |
8.49Кб |
005 The House Sales Dataset Walkthrough.mp4 |
53.06Мб |
005 The relplot() Method_en.srt |
13.41Кб |
005 The relplot() Method.mp4 |
84.97Мб |
005 The Series Map() Method_en.srt |
4.20Кб |
005 The Series Map() Method.mp4 |
16.72Мб |
005 The Useful dt Properties_en.srt |
13.75Кб |
005 The Useful dt Properties.mp4 |
56.24Мб |
005 Violinplots_en.srt |
6.79Кб |
005 Violinplots.mp4 |
28.98Мб |
006 Barplots_en.srt |
13.12Кб |
006 Barplots.mp4 |
55.43Мб |
006 Changing Matplotlib Stylesheets_en.srt |
6.35Кб |
006 Changing Matplotlib Stylesheets.mp4 |
28.77Мб |
006 Combining Conditions Using OR ()_en.srt |
15.71Кб |
006 Combining Conditions Using OR ().mp4 |
91.18Мб |
006 Comparing Dates_en.srt |
8.24Кб |
006 Comparing Dates.mp4 |
40.45Мб |
006 EXERCISE Basic DataFrame Methods_en.srt |
2.58Кб |
006 EXERCISE Basic DataFrame Methods.mp4 |
13.47Мб |
006 EXERCISE Dealing With NA Values_en.srt |
1.91Кб |
006 EXERCISE Dealing With NA Values.mp4 |
12.55Мб |
006 EXERCISE Pandas Plotting Challenge #1_en.srt |
11.66Кб |
006 EXERCISE Pandas Plotting Challenge #1.mp4 |
61.17Мб |
006 EXERCISE Updating Values_en.srt |
3.20Кб |
006 EXERCISE Updating Values.mp4 |
16.12Мб |
006 Finding Largest Bitcoin Price Changes_en.srt |
7.38Кб |
006 Finding Largest Bitcoin Price Changes.mp4 |
37.60Мб |
006 get_level_values()_en.srt |
11.46Кб |
006 get_level_values().mp4 |
49.27Мб |
006 Named Aggregation_en.srt |
6.19Кб |
006 Named Aggregation.mp4 |
29.09Мб |
006 Replacing Portions of Strings With Replace()_en.srt |
10.43Кб |
006 Replacing Portions of Strings With Replace().mp4 |
52.20Мб |
006 Resizing Seaborn Plots Aspect & Height_en.srt |
10.73Кб |
006 Resizing Seaborn Plots Aspect & Height.mp4 |
63.21Мб |
006 Restarting The Kernel_en.srt |
11.14Кб |
006 Restarting The Kernel.mp4 |
26.20Мб |
006 Selecting Multiple Columns_en.srt |
5.62Кб |
006 Selecting Multiple Columns.mp4 |
21.79Мб |
006 sorting text columns_en.srt |
5.43Кб |
006 sorting text columns.mp4 |
26.74Мб |
006 The ApplyMap() Method_en.srt |
5.83Кб |
006 The ApplyMap() Method.mp4 |
24.71Мб |
006 The DataFrame Merge() Method_en.srt |
6.47Кб |
006 The DataFrame Merge() Method.mp4 |
34.14Мб |
006 The Titanic Passenger Dataset Walkthrough_en.srt |
13.50Кб |
006 The Titanic Passenger Dataset Walkthrough.mp4 |
79.67Мб |
007 Bitwise Negation_en.srt |
10.12Кб |
007 Bitwise Negation.mp4 |
40.97Мб |
007 EXERCISE AddingRemoving Columns & Rows_en.srt |
5.22Кб |
007 EXERCISE AddingRemoving Columns & Rows.mp4 |
24.59Мб |
007 Finding StarLink Flybys In UFO Dataset_en.srt |
12.46Кб |
007 Finding StarLink Flybys In UFO Dataset.mp4 |
72.24Мб |
007 Hierarchical Columns_en.srt |
7.23Кб |
007 Hierarchical Columns.mp4 |
29.92Мб |
007 Line Styles, Colors, Widths, and More!_en.srt |
10.29Кб |
007 Line Styles, Colors, Widths, and More!.mp4 |
71.39Мб |
007 Merge() w Left, Right, Inner, & Outer Joins_en.srt |
9.44Кб |
007 Merge() w Left, Right, Inner, & Outer Joins.mp4 |
41.98Мб |
007 Non-comma Separators Netflix Dataset_en.srt |
12.84Кб |
007 Non-comma Separators Netflix Dataset.mp4 |
85.13Мб |
007 Pandas Histograms_en.srt |
4.62Кб |
007 Pandas Histograms.mp4 |
19.70Мб |
007 Seaborn Histograms_en.srt |
9.01Кб |
007 Seaborn Histograms.mp4 |
38.67Мб |
007 SOLUTION Basic DataFrame Methods_en.srt |
6.75Кб |
007 SOLUTION Basic DataFrame Methods.mp4 |
31.66Мб |
007 SOLUTION Dealing With NA Values_en.srt |
6.52Кб |
007 SOLUTION Dealing With NA Values.mp4 |
42.30Мб |
007 SOLUTION Updating Values Exercise_en.srt |
11.44Кб |
007 SOLUTION Updating Values Exercise.mp4 |
70.35Мб |
007 sort_index_en.srt |
3.36Кб |
007 sort_index.mp4 |
19.39Мб |
007 Testing Strings With Contains()_en.srt |
5.75Кб |
007 Testing Strings With Contains().mp4 |
28.39Мб |
007 The Big Boy Catplot Method_en.srt |
12.29Кб |
007 The Big Boy Catplot Method.mp4 |
61.61Мб |
007 The powerful value_counts() method_en.srt |
13.22Кб |
007 The powerful value_counts() method.mp4 |
47.57Мб |
007 Viewing The Docs Inside A Notebook_en.srt |
4.47Кб |
007 Viewing The Docs Inside A Notebook.mp4 |
21.90Мб |
008 Box Plots_en.srt |
7.29Кб |
008 Box Plots.mp4 |
31.98Мб |
008 Date Math & TimeDeltas_en.srt |
13.05Кб |
008 Date Math & TimeDeltas.mp4 |
68.03Мб |
008 EXERCISE Jupyter Notebook_en.srt |
4.54Кб |
008 EXERCISE Jupyter Notebook.mp4 |
15.98Мб |
008 isna() and notna() Methods_en.srt |
4.86Кб |
008 isna() and notna() Methods.mp4 |
27.40Мб |
008 KDE Plots_en.srt |
3.88Кб |
008 KDE Plots.mp4 |
21.03Мб |
008 Merge() On and Suffixes Arguments_en.srt |
14.28Кб |
008 Merge() On and Suffixes Arguments.mp4 |
59.14Мб |
008 Overriding Headers Country Population Dataset_en.srt |
6.74Кб |
008 Overriding Headers Country Population Dataset.mp4 |
40.92Мб |
008 Plot Labels & Titles_en.srt |
8.19Кб |
008 Plot Labels & Titles.mp4 |
49.62Мб |
008 SOLUTION AddingRemoving Columns & Rows_en.srt |
7.45Кб |
008 SOLUTION AddingRemoving Columns & Rows.mp4 |
46.70Мб |
008 Sorting and Plotting!_en.srt |
7.55Кб |
008 Sorting and Plotting!.mp4 |
22.45Мб |
008 Stack() and Unstack()_en.srt |
5.52Кб |
008 Stack() and Unstack().mp4 |
30.91Мб |
008 Using plot() to visualize!_en.srt |
16.84Кб |
008 Using plot() to visualize!.mp4 |
59.72Мб |
009 Billboard Charts Dataset Exploration_en.srt |
17.63Кб |
009 Billboard Charts Dataset Exploration.mp4 |
88.93Мб |
009 Bivariate Distribution Plots_en.srt |
8.07Кб |
009 Bivariate Distribution Plots.mp4 |
40.73Мб |
009 Changing X & Y Ticks_en.srt |
9.46Кб |
009 Changing X & Y Ticks.mp4 |
53.16Мб |
009 EXERCISE DataFrames & Datasets_en.srt |
5.07Кб |
009 EXERCISE DataFrames & Datasets.mp4 |
17.49Мб |
009 EXERCISE Series & Plotting_en.srt |
4.73Кб |
009 EXERCISE Series & Plotting.mp4 |
18.20Мб |
009 Filtering + Plotting Examples_en.srt |
8.71Кб |
009 Filtering + Plotting Examples.mp4 |
34.79Мб |
009 loc_en.srt |
11.49Кб |
009 loc.mp4 |
53.80Мб |
009 Pandas Line Plots_en.srt |
7.86Кб |
009 Pandas Line Plots.mp4 |
34.65Мб |
009 Plotting With Unstack()_en.srt |
11.07Кб |
009 Plotting With Unstack().mp4 |
43.56Мб |
009 SOLUTION Jupyter Notebook_en.srt |
10.40Кб |
009 SOLUTION Jupyter Notebook.mp4 |
39.11Мб |
010 Adding Legends To Plots_en.srt |
7.52Кб |
010 Adding Legends To Plots.mp4 |
39.61Мб |
010 EXERCISE Dates & Times_en.srt |
7.29Кб |
010 EXERCISE Dates & Times.mp4 |
33.52Мб |
010 EXERCISE Filtering_en.srt |
2.71Кб |
010 EXERCISE Filtering.mp4 |
12.83Мб |
010 EXERCISE Pandas Plotting Challenge #2_en.srt |
5.99Кб |
010 EXERCISE Pandas Plotting Challenge #2.mp4 |
29.89Мб |
010 Grouping By Index_en.srt |
7.66Кб |
010 Grouping By Index.mp4 |
26.51Мб |
010 iloc_en.srt |
5.98Кб |
010 iloc.mp4 |
31.01Мб |
010 Rugplots_en.srt |
8.71Кб |
010 Rugplots.mp4 |
39.19Мб |
010 SOLUTION DataFrames & Datasets_en.srt |
13.09Кб |
010 SOLUTION DataFrames & Datasets.mp4 |
82.32Мб |
010 SOLUTION Series & Plotting_en.srt |
14.40Кб |
010 SOLUTION Series & Plotting.mp4 |
63.63Мб |
011 EXERCISE Matplotlib Challenge #1_en.srt |
6.94Кб |
011 EXERCISE Matplotlib Challenge #1.mp4 |
35.76Мб |
011 loc & iloc with Series_en.srt |
8.60Кб |
011 loc & iloc with Series.mp4 |
31.51Мб |
011 Pandas Scatter Plots_en.srt |
4.25Кб |
011 Pandas Scatter Plots.mp4 |
23.65Мб |
011 SOLUTION Dates & Times_en.srt |
21.13Кб |
011 SOLUTION Dates & Times.mp4 |
115.74Мб |
011 SOLUTION Filtering Exercise_en.srt |
14.85Кб |
011 SOLUTION Filtering Exercise.mp4 |
85.89Мб |
011 The Amazing displot() Method_en.srt |
9.79Кб |
011 The Amazing displot() Method.mp4 |
52.18Мб |
012 Creating Bar Plots_en.srt |
13.90Кб |
012 Creating Bar Plots.mp4 |
69.01Мб |
012 EXERCISE Indexes & Sorting_en.srt |
6.44Кб |
012 EXERCISE Indexes & Sorting.mp4 |
29.02Мб |
012 Multiple Plots On The Same Axes_en.srt |
7.81Кб |
012 Multiple Plots On The Same Axes.mp4 |
35.74Мб |
013 Creating Histograms_en.srt |
15.51Кб |
013 Creating Histograms.mp4 |
77.71Мб |
013 SOLUTION Indexes & Sorting_en.srt |
13.73Кб |
013 SOLUTION Indexes & Sorting.mp4 |
83.17Мб |
013 UFOS Plotting Challenge!_en.srt |
10.18Кб |
013 UFOS Plotting Challenge!.mp4 |
46.51Мб |
014 EXERCISE Matplotlib Challenge #2_en.srt |
6.08Кб |
014 EXERCISE Matplotlib Challenge #2.mp4 |
28.29Мб |
014 EXERCISE Pandas Plotting Challenge #3_en.srt |
5.24Кб |
014 EXERCISE Pandas Plotting Challenge #3.mp4 |
30.59Мб |
015 Creating Scatter Plots_en.srt |
6.88Кб |
015 Creating Scatter Plots.mp4 |
35.21Мб |
015 Pandas Automatic Subplots_en.srt |
11.64Кб |
015 Pandas Automatic Subplots.mp4 |
54.58Мб |
016 Creating Pie Charts_en.srt |
8.71Кб |
016 Creating Pie Charts.mp4 |
50.96Мб |
016 Manual Subplots With Pandas_en.srt |
8.94Кб |
016 Manual Subplots With Pandas.mp4 |
47.22Мб |
017 EXERCISE Matplotlib Challenge #3_en.srt |
6.84Кб |
017 EXERCISE Matplotlib Challenge #3.mp4 |
34.90Мб |
017 EXERCISE Pandas Plotting Challenge #4_en.srt |
15.16Кб |
017 EXERCISE Pandas Plotting Challenge #4.mp4 |
107.87Мб |
018 EXERCISE Pandas Plotting Challenge #5_en.srt |
14.06Кб |
018 EXERCISE Pandas Plotting Challenge #5.mp4 |
109.16Мб |
018 Working With Subplots_en.srt |
15.42Кб |
018 Working With Subplots.mp4 |
74.84Мб |
019 Exporting Figures With savefig()_en.srt |
3.96Кб |
019 Exporting Figures With savefig().mp4 |
27.17Мб |
019 Putting It All Together_en.srt |
8.62Кб |
019 Putting It All Together.mp4 |
46.88Мб |
020 EXERCISE Matplotlib Challenge #4_en.srt |
13.05Кб |
020 EXERCISE Matplotlib Challenge #4.mp4 |
74.81Мб |
external-assets-links.txt |
162б |