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