Basics
Functions
Containers
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Tuples (5:22)
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Slicing (4:06)
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Tuple Functions and Methods (3:30)
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Tuple Operators (2:32)
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Lists (4:42)
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Replacing Slices (3:13)
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Removing Items from Lists (2:25)
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List Comprehensions (3:20)
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Comprehension Conditions (2:46)
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Sets (3:47)
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Set Functions and Methods (5:45)
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Dictionaries (6:09)
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Removing Dictionary Items (1:41)
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Dictionary Views (2:28)
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Default Dictionaries (3:56)
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Enumerate and Zip (1:42)
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Hashcodes (1:59)
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Containers Summary (2:59)
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Check Your Knowledge
Strings and Regular Expressions
Classes and Objects
Modules and Packages
Functional Programming
File Handling
Numpy for Numerical Computing
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Numpy Arrays (4:36)
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00 Introduction (1:33)
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Creating Numpy Arrays (2:40)
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Random Numpy Arrays (2:19)
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Numpy Arithmetic (1:32)
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Numpy Functions (1:52)
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Numpy Slicing (2:00)
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Numpy Views (3:01)
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Advanced Indexing with Lists (2:12)
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Using Comparison Operators (1:08)
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Boolean Indexing (2:53)
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Check Your Knowledge
Pandas: A Virtual Spreadsheet But Way More Powerful
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Loading Pandas Frames (3:35)
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Introduction (2:01)
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Setting Column Names (0:57)
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Referencing Cells (1:47)
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Numpy-Style Referencing (2:28)
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Loading Data from Dictionaries (1:13)
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Modifying Data (2:24)
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Pandas Functions (1:55)
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Data Series (1:52)
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Random Dataframes (2:35)
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Sorting (4:04)
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The Mall Customers Database (2:30)
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Grouping (2:37)
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Aggregate Functions in Pandas (2:51)
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Filtering in Pandas (1:31)
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Check Your Knowledge
Data Visualization, Prediction and Analysis
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Introduction (0:50)
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Plotting (4:45)
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Seaborn Plots (3:08)
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Clustering with Scikit-Learn (6:02)
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Binning (2:29)
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Categorical to Numerical (1:47)
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Installing Keras and Tensorflow (2:21)
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One Hot Encoding (3:57)
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The Predictor Matrix (2:04)
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Test Train Split (2:45)
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Scaling (3:38)
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Creating the Neural Network (7:31)
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Evaluating Accuracy (2:44)
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Check Your Knowledge
Finish
