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Index of /Python Fundamentals


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001-Introduction to Python Fundamentals - Part 1.mp4 2026-05-22 19:13 110.8 MB
002-Lesson Overview - Before You Begin.mp4 2026-05-22 19:13 10.6 MB
003-Getting the code.mp4 2026-05-22 19:13 3.1 MB
004-Structure of the examples folder.mp4 2026-05-22 19:13 29.0 MB
005-Installing Anaconda.mp4 2026-05-22 19:13 21.7 MB
006-Updating Anaconda.mp4 2026-05-22 19:13 18.5 MB
007-Package managers.mp4 2026-05-22 19:14 13.1 MB
008-Installing jupyter-matplotlib.mp4 2026-05-22 19:14 6.7 MB
009-Twitter developer account.mp4 2026-05-22 19:14 11.3 MB
010-Getting your questions answered.mp4 2026-05-22 19:14 12.3 MB
011-Lesson 01 Overview - Test-Drives - Using IPython and Jupyter Notebooks.mp4 2026-05-22 19:14 18.8 MB
012-Using IPython Interactive Mode as a Calculator.mp4 2026-05-22 19:15 97.2 MB
013-Executing a Python Program Using the IPython Interpreter.mp4 2026-05-22 19:15 53.7 MB
014-Writing and Executing Code in a Jupyter Notebook.mp4 2026-05-22 19:15 161.0 MB
015-Lesson 02 Overview - Intro to Python Programming.mp4 2026-05-22 19:16 16.1 MB
016-Variables and Assignment Statements.mp4 2026-05-22 19:16 40.6 MB
017-Self Check.mp4 2026-05-22 19:16 10.6 MB
018-Arithmetic.mp4 2026-05-22 19:16 76.0 MB
019-Self Check.mp4 2026-05-22 19:16 10.9 MB
020-Function print and an Intro to Single- and Double-Quoted Strings.mp4 2026-05-22 19:17 71.7 MB
021-Self Check.mp4 2026-05-22 19:17 7.5 MB
022-Triple-Quoted Strings.mp4 2026-05-22 19:17 52.6 MB
023-Self Check.mp4 2026-05-22 19:17 15.3 MB
024-Getting Input from the User.mp4 2026-05-22 19:17 73.0 MB
025-Self Check.mp4 2026-05-22 19:17 5.9 MB
027-Self Check.mp4 2026-05-22 19:18 8.9 MB
028-Objects and Dynamic Typing.mp4 2026-05-22 19:18 48.0 MB
029-Self Check.mp4 2026-05-22 19:18 5.5 MB
030-Intro to Data Science - Basic Descriptive Statistics.mp4 2026-05-22 19:18 43.0 MB
031-Self Check.mp4 2026-05-22 19:18 8.6 MB
032-Lesson 03 Overview - Control Statements.mp4 2026-05-22 19:19 15.8 MB
033-if Statement.mp4 2026-05-22 19:19 23.0 MB
034-Self Check.mp4 2026-05-22 19:19 11.4 MB
035-if...else and if...elif...else Statements.mp4 2026-05-22 19:19 71.2 MB
036-Self Check.mp4 2026-05-22 19:19 8.0 MB
037-while Statement.mp4 2026-05-22 19:19 13.4 MB
038-Self Check.mp4 2026-05-22 19:19 6.6 MB
039-for Statement; Iterables, Lists and Iterators; Built-in range Function.mp4 2026-05-22 19:20 80.5 MB
040-Self Check.mp4 2026-05-22 19:20 10.6 MB
041-Augmented Assignments.mp4 2026-05-22 19:20 14.4 MB
042-Self Check.mp4 2026-05-22 19:20 4.0 MB
043-Sequence-Controlled Iteration.mp4 2026-05-22 19:20 31.3 MB
044-Self Check.mp4 2026-05-22 19:21 7.8 MB
045-Sentinel-Controlled Iteration.mp4 2026-05-22 19:21 33.3 MB
046-Built-In Function range - A Deeper Look.mp4 2026-05-22 19:21 22.4 MB
047-Self Check.mp4 2026-05-22 19:21 11.4 MB
048-Using Type Decimal for Monetary Amounts.mp4 2026-05-22 19:21 52.6 MB
049-Self Check.mp4 2026-05-22 19:21 12.1 MB
050-break and continue Statements.mp4 2026-05-22 19:21 15.9 MB
051-Boolean Operators and, or and not.mp4 2026-05-22 19:22 51.8 MB
052-Self Check.mp4 2026-05-22 19:22 10.9 MB
053-Intro to Data Science - Measures of Central Tendency--Mean, Median and Mode.mp4 2026-05-22 19:22 68.6 MB
054-Self Check.mp4 2026-05-22 19:22 16.7 MB
055-Lesson 04 Overview - Functions.mp4 2026-05-22 19:22 15.7 MB
056-Defining Functions.mp4 2026-05-22 19:23 50.5 MB
057-Self Check.mp4 2026-05-22 19:23 8.2 MB
058-Functions with Multiple Parameters.mp4 2026-05-22 19:23 27.2 MB
059-Self Check.mp4 2026-05-22 19:23 8.2 MB
060-Random-Number Generation.mp4 2026-05-22 19:23 31.4 MB
061-Self Check.mp4 2026-05-22 19:23 10.4 MB
062-Case Study - A Game of Chance.mp4 2026-05-22 19:24 63.8 MB
063-Self Check.mp4 2026-05-22 19:24 10.0 MB
064-math Module Functions.mp4 2026-05-22 19:24 10.6 MB
065-Default Parameter Values.mp4 2026-05-22 19:24 22.3 MB
066-Keyword Arguments.mp4 2026-05-22 19:24 16.5 MB
067-Arbitrary Argument Lists.mp4 2026-05-22 19:24 13.4 MB
068-Self Check.mp4 2026-05-22 19:25 15.5 MB
069-Methods - Functions That Belong to Objects.mp4 2026-05-22 19:25 18.1 MB
070-Scope Rules.mp4 2026-05-22 19:25 80.2 MB
071-import - A Deeper Look.mp4 2026-05-22 19:25 33.8 MB
072-Self Check.mp4 2026-05-22 19:25 5.6 MB
073-Passing Arguments to Functions - A Deeper Look.mp4 2026-05-22 19:26 57.8 MB
074-Self Check.mp4 2026-05-22 19:26 5.7 MB
075-Functional-Style Programming.mp4 2026-05-22 19:26 23.9 MB
076-Intro to Data Science - Measures of Dispersion.mp4 2026-05-22 19:26 31.0 MB
077-Introduction to Python Fundamentals - Part 2.mp4 2026-05-22 19:26 39.1 MB
078-Lesson 05 Overview - Sequences--Lists and Tuples.mp4 2026-05-22 19:27 14.6 MB
079-Lists.mp4 2026-05-22 19:27 124.0 MB
080-Self Check.mp4 2026-05-22 19:27 15.7 MB
081-Tuples.mp4 2026-05-22 19:27 35.0 MB
082-Self Check.mp4 2026-05-22 19:28 10.9 MB
083-Unpacking Sequences.mp4 2026-05-22 19:28 33.4 MB
084-Creating a primitive bar chart.mp4 2026-05-22 19:28 33.6 MB
085-Self Check.mp4 2026-05-22 19:28 19.3 MB
086-Sequence Slicing Part 1 - Getting a Subset of a Sequence.mp4 2026-05-22 19:28 61.0 MB
087-Sequence Slicing Part 2 - Modifying a List.mp4 2026-05-22 19:29 17.5 MB
088-Self Check.mp4 2026-05-22 19:29 19.7 MB
089-del Statement.mp4 2026-05-22 19:29 23.5 MB
090-Self Check.mp4 2026-05-22 19:29 9.0 MB
091-Passing Lists to Functions.mp4 2026-05-22 19:29 14.2 MB
092-Sorting Lists.mp4 2026-05-22 19:30 18.1 MB
093-Self Check.mp4 2026-05-22 19:30 9.7 MB
094-Searching Sequences.mp4 2026-05-22 19:30 64.6 MB
095-Self Check.mp4 2026-05-22 19:30 6.8 MB
096-Other List Methods.mp4 2026-05-22 19:30 32.6 MB
097-Self Check.mp4 2026-05-22 19:31 10.6 MB
098-Simulating Stacks with Lists.mp4 2026-05-22 19:31 11.6 MB
099-List Comprehensions.mp4 2026-05-22 19:31 47.5 MB
100-Self Check.mp4 2026-05-22 19:31 11.2 MB
101-Generator Expressions.mp4 2026-05-22 19:31 40.4 MB
102-Self Check.mp4 2026-05-22 19:31 9.2 MB
103-Filter, Map and Reduce.mp4 2026-05-22 19:32 49.5 MB
104-Self Check.mp4 2026-05-22 19:32 24.7 MB
105-Other Sequence Processing Functions.mp4 2026-05-22 19:32 24.7 MB
106-Self Check.mp4 2026-05-22 19:32 18.5 MB
107-Two-Dimensional Lists.mp4 2026-05-22 19:33 43.6 MB
108-Self Check.mp4 2026-05-22 19:33 11.3 MB
109-Intro to Data Science - Simulation and Static Visualizations.mp4 2026-05-22 19:33 19.5 MB
110-Sample Graphs for 600, 60,000 and 6,000,000 Die Rolls.mp4 2026-05-22 19:33 14.1 MB
111-Visualizing Die-Roll Frequencies and Percentages--Part 1.mp4 2026-05-22 19:33 34.3 MB
112-Visualizing Die-Roll Frequencies and Percentages--Part 2.mp4 2026-05-22 19:33 43.6 MB
113-Visualizing Die-Roll Frequencies and Percentages--Part 3.mp4 2026-05-22 19:34 46.0 MB
114-Visualizing Die-Roll Frequencies and Percentages--Part 4.mp4 2026-05-22 19:34 33.5 MB
115-Lesson 06 Overview - Dictionaries and Sets.mp4 2026-05-22 19:34 17.6 MB
116-Dictionaries.mp4 2026-05-22 19:34 4.3 MB
117-Creating a Dictionary.mp4 2026-05-22 19:34 13.6 MB
118-Self Check.mp4 2026-05-22 19:34 6.2 MB
119-Iterating through a Dictionary.mp4 2026-05-22 19:34 25.0 MB
120-Basic Dictionary Operarations.mp4 2026-05-22 19:35 23.6 MB
121-Self Check.mp4 2026-05-22 19:35 6.3 MB
122-Dictionary Methods keys and values.mp4 2026-05-22 19:35 21.5 MB
123-Self Check.mp4 2026-05-22 19:35 8.9 MB
124-Dictionary Comparisons.mp4 2026-05-22 19:35 18.4 MB
125-Example - Dictionary of Student Grades.mp4 2026-05-22 19:35 15.3 MB
126-Example - Word Counts.mp4 2026-05-22 19:35 26.6 MB
127-Python Standard Library Module collections.mp4 2026-05-22 19:36 16.7 MB
128-Self Check.mp4 2026-05-22 19:36 10.5 MB
129-Dictionary Method update.mp4 2026-05-22 19:36 29.9 MB
130-Dictionary Comprehensions.mp4 2026-05-22 19:36 31.1 MB
131-Self Check.mp4 2026-05-22 19:36 8.0 MB
132-Sets.mp4 2026-05-22 19:36 51.8 MB
133-Self Check.mp4 2026-05-22 19:37 9.3 MB
134-Comparing Sets.mp4 2026-05-22 19:37 49.5 MB
135-Self Check.mp4 2026-05-22 19:37 13.1 MB
136-Mathematical Set Operations.mp4 2026-05-22 19:37 47.2 MB
137-Self Check.mp4 2026-05-22 19:37 9.9 MB
138-Mutable Set Operators and Methods.mp4 2026-05-22 19:38 39.7 MB
139-Set Comprehensions.mp4 2026-05-22 19:38 9.5 MB
140-Intro to Data Science - Dynamic Visualizations--Using Simulation and Dynamic Visualization to Demonstrate the Law of Large Numbers.mp4 2026-05-22 19:38 67.4 MB
141-Intro to Data Science - Dynamic Visualizations--Implementing Dynamic Visualization, Part 1.mp4 2026-05-22 19:38 90.0 MB
142-Lesson 07 Overview - Array-Oriented Programming with Numpy; Intro to Pandas.mp4 2026-05-22 19:39 14.1 MB
143-Creating arrays from Existing Data.mp4 2026-05-22 19:39 20.2 MB
144-Self Check.mp4 2026-05-22 19:39 12.6 MB
145-array Attributes.mp4 2026-05-22 19:39 58.0 MB
146-Self Check.mp4 2026-05-22 19:40 4.2 MB
147-Filling arrays with Specific Values.mp4 2026-05-22 19:40 14.2 MB
148-Creating arrays from Ranges.mp4 2026-05-22 19:40 17.2 MB
149-Self Check.mp4 2026-05-22 19:40 7.7 MB
150-List vs. array Performance - Introducing %timeit.mp4 2026-05-22 19:40 40.0 MB
151-Self Check.mp4 2026-05-22 19:40 9.4 MB
152-array Operators.mp4 2026-05-22 19:40 20.5 MB
153-Self Check.mp4 2026-05-22 19:40 5.1 MB
154-NumPy Calculation Methods.mp4 2026-05-22 19:41 16.6 MB
155-Self Check.mp4 2026-05-22 19:41 11.1 MB
156-Universal Functions.mp4 2026-05-22 19:41 15.5 MB
157-Self Check.mp4 2026-05-22 19:41 4.1 MB
158-Indexing and Slicing.mp4 2026-05-22 19:41 42.5 MB
159-Self Check.mp4 2026-05-22 19:42 11.1 MB
160-Views - Shallow Copies.mp4 2026-05-22 19:42 38.4 MB
161-Deep Copies.mp4 2026-05-22 19:42 6.0 MB
162-Reshaping and Transposing - reshape vs. resize.mp4 2026-05-22 19:42 15.0 MB
163-Reshaping and Transposing - flatten vs. ravel.mp4 2026-05-22 19:42 9.8 MB
164-Reshaping and Transposing - Transposing Rows and Columns.mp4 2026-05-22 19:42 13.5 MB
165-Reshaping and Transposing - Horizontal and Vertical Stacking.mp4 2026-05-22 19:43 20.1 MB
166-Self Check.mp4 2026-05-22 19:43 5.4 MB
167-Intro to Data Science - pandas Series and DataFrames.mp4 2026-05-22 19:43 12.6 MB
168-Intro to Data Science - pandas Series and DataFrames--pandas Series Part 1.mp4 2026-05-22 19:43 52.6 MB
169-Intro to Data Science - pandas Series and DataFrames--pandas Series Part 2.mp4 2026-05-22 19:43 38.9 MB
170-Self Check.mp4 2026-05-22 19:43 18.9 MB
171-Intro to Data Science - pandas Series and DataFrames--Creating DataFrames and Customizing Indices.mp4 2026-05-22 19:43 16.1 MB
172-Intro to Data Science - pandas Series and DataFrames--Accessing a DataFrame's Columns.mp4 2026-05-22 19:44 5.5 MB
173-Intro to Data Science - pandas Series and DataFrames--Selecting Rows via the loc and iloc Attributes.mp4 2026-05-22 19:44 20.8 MB
174-Intro to Data Science - pandas Series and DataFrames--Selecting Rows via Slices and Lists with the loc and iloc Attributes.mp4 2026-05-22 19:44 19.8 MB
175-Intro to Data Science - pandas Series and DataFrames--Selecting Subsets of the Rows and Columns.mp4 2026-05-22 19:44 7.1 MB
176-Intro to Data Science - pandas Series and DataFrames--Boolean Indexing.mp4 2026-05-22 19:44 11.2 MB
177-Intro to Data Science - pandas Series and DataFrames--Accessing a Specific DataFrame Cell by Row and Column.mp4 2026-05-22 19:44 11.2 MB
178-Intro to Data Science - pandas Series and DataFrames--Descriptive Statistics.mp4 2026-05-22 19:44 13.4 MB
179-Intro to Data Science - pandas Series and DataFrames--Transposing the DataFrame with the T Attribute.mp4 2026-05-22 19:45 9.5 MB
180-Intro to Data Science - pandas Series and DataFrames--Sorting by Indices.mp4 2026-05-22 19:45 15.1 MB
181-Intro to Data Science - pandas Series and DataFrames--Sorting by Column Values.mp4 2026-05-22 19:45 18.8 MB
182-Self Check.mp4 2026-05-22 19:45 17.4 MB
183-Introduction to Python Fundamentals - Part 3.mp4 2026-05-22 19:45 55.6 MB
184-Lesson 08 Overview - Strings--A Deeper Look; Pandas, Regular Expressions and Data Munging.mp4 2026-05-22 19:45 12.4 MB
185-Formatting Strings--Presentation Types.mp4 2026-05-22 19:46 30.2 MB
186-Self Check.mp4 2026-05-22 19:46 3.0 MB
187-Formatting Strings--Field Widths and Alignment.mp4 2026-05-22 19:46 30.3 MB
188-Self Check.mp4 2026-05-22 19:46 5.5 MB
189-Formatting Strings--Numeric Formatting.mp4 2026-05-22 19:46 16.7 MB
190-Self Check.mp4 2026-05-22 19:46 8.1 MB
191-Formatting Strings--String's format Method.mp4 2026-05-22 19:46 20.9 MB
192-Self Check.mp4 2026-05-22 19:46 14.9 MB
193-Concatenating and Repeating Strings.mp4 2026-05-22 19:47 10.6 MB
194-Self Check.mp4 2026-05-22 19:47 6.6 MB
195-Stripping Whitespace from Strings.mp4 2026-05-22 19:47 8.0 MB
196-Self Check.mp4 2026-05-22 19:47 4.7 MB
197-Changing Character Case.mp4 2026-05-22 19:47 4.4 MB
198-Self Check.mp4 2026-05-22 19:47 2.8 MB
199-Comparison Operators for Strings.mp4 2026-05-22 19:47 11.3 MB
200-Searching for Substrings.mp4 2026-05-22 19:47 35.5 MB
201-Self Check.mp4 2026-05-22 19:47 6.3 MB
202-Replacing Substrings.mp4 2026-05-22 19:47 4.5 MB
203-Self Check.mp4 2026-05-22 19:47 3.4 MB
204-Splitting and Joining Strings.mp4 2026-05-22 19:48 20.0 MB
205-Self Check.mp4 2026-05-22 19:48 16.9 MB
206-Characters and Character-Testing Methods.mp4 2026-05-22 19:48 6.8 MB
207-Raw Strings.mp4 2026-05-22 19:48 15.1 MB
208-Introduction to Regular Expressions.mp4 2026-05-22 19:48 9.2 MB
209-re Module and Function fullmatch Part 1--Matching Literal Characters.mp4 2026-05-22 19:48 14.7 MB
210-re Module and Function fullmatch Part 2--Metacharacters, Character Classes and Quantifiers.mp4 2026-05-22 19:48 13.8 MB
211-re Module and Function fullmatch Part 3--Custom Character Classes.mp4 2026-05-22 19:48 12.9 MB
212-re Module and Function fullmatch Part 1--Quantifiers.mp4 2026-05-22 19:49 14.0 MB
213-Self Check.mp4 2026-05-22 19:49 10.1 MB
214-Replacing Substrings and Splitting Strings.mp4 2026-05-22 19:49 23.4 MB
215-Self Check.mp4 2026-05-22 19:49 9.5 MB
216-Other Search Functions; Accessing Matches--Function search - Finding the First Match Anywhere in a String.mp4 2026-05-22 19:49 19.2 MB
217-Other Search Functions; Accessing Matches--Ignoring Case with the Optional flags Keyword Argument.mp4 2026-05-22 19:49 6.3 MB
218-Other Search Functions; Accessing Matches--Metacharacters that Restrict Matches to the Beginning or End of a String.mp4 2026-05-22 19:50 11.9 MB
219-Other Search Functions; Accessing Matches--Functions findall and finditer - Finding All Matches in a String.mp4 2026-05-22 19:50 14.9 MB
220-Other Search Functions; Accessing Matches--Capturing Substrings in a Match.mp4 2026-05-22 19:50 29.9 MB
221-Self Check.mp4 2026-05-22 19:50 9.4 MB
222-Intro to Data Science - Pandas, Regular Expressions and Data Munging Part 1 - Introduction.mp4 2026-05-22 19:50 15.0 MB
223-Intro to Data Science - Pandas, Regular Expressions and Data Munging Part 3 - Data Validation.mp4 2026-05-22 19:50 33.4 MB
224-Intro to Data Science - Pandas, Regular Expressions and Data Munging Part 4 - Reformatting Your Data.mp4 2026-05-22 19:50 23.7 MB
225-Self Check.mp4 2026-05-22 19:51 15.5 MB
226-Lesson 09 Overview - Files and Exceptions; Pandas, CSV Files and Simple Data Analysis.mp4 2026-05-22 19:51 19.3 MB
227-Files.mp4 2026-05-22 19:51 6.9 MB
228-Text-File Processing--Writing to a Text File - Introducing the with Statement.mp4 2026-05-22 19:51 17.0 MB
229-Self Check.mp4 2026-05-22 19:51 7.2 MB
230-Text-File Processing--Reading Data from a Text File.mp4 2026-05-22 19:51 16.0 MB
231-Self Check.mp4 2026-05-22 19:51 10.1 MB
232-Updating Text Files.mp4 2026-05-22 19:52 17.4 MB
233-Self Check.mp4 2026-05-22 19:52 13.8 MB
234-Serialization with JSON--JSON Data Format.mp4 2026-05-22 19:52 20.4 MB
235-Serialization with JSON--Serializing an Object to JSON.mp4 2026-05-22 19:52 10.9 MB
236-Serialization with JSON--Deserializing a JSON Object into Python.mp4 2026-05-22 19:52 7.7 MB
237-Serialization with JSON--Displaying JSON Text.mp4 2026-05-22 19:52 12.1 MB
238-Self Check.mp4 2026-05-22 19:52 13.4 MB
239-File Open Modes.mp4 2026-05-22 19:53 9.5 MB
240-Handling Exceptions.mp4 2026-05-22 19:53 9.4 MB
241-Division by Zero and Invalid Input.mp4 2026-05-22 19:53 7.0 MB
242-try Statements.mp4 2026-05-22 19:53 30.6 MB
243-Self Check.mp4 2026-05-22 19:53 8.7 MB
244-finally Clause.mp4 2026-05-22 19:53 20.5 MB
245-Self Check.mp4 2026-05-22 19:53 8.1 MB
246-Explicitly Raising an Exception.mp4 2026-05-22 19:53 5.4 MB
247-Stack Unwinding and Tracebacks.mp4 2026-05-22 19:54 12.4 MB
248-Intro to Data Science - Working with CSV Files--Python Standard Library Module csv.mp4 2026-05-22 19:54 24.5 MB
249-Self Check.mp4 2026-05-22 19:54 9.6 MB
250-Intro to Data Science - Working with CSV Files--Reading CSV Files into Pandas DataFrames.mp4 2026-05-22 19:54 32.2 MB
251-Intro to Data Science - Working with CSV Files--Reading the Titanic Disaster Dataset.mp4 2026-05-22 19:54 24.0 MB
252-Intro to Data Science - Working with CSV Files--Simple Data Analysis with the Titanic Disaster Dataset.mp4 2026-05-22 19:54 13.9 MB
253-Intro to Data Science - Working with CSV Files--Passenger Age Histogram.mp4 2026-05-22 19:54 9.5 MB
254-Introduction to Python Fundamentals - Part 4.mp4 2026-05-22 19:55 53.6 MB
255-Lesson 10 Overview - Object-Oriented Programming.mp4 2026-05-22 19:55 34.9 MB
256-Custom Class Account--Test-Driving Class Account.mp4 2026-05-22 19:55 23.4 MB
257-Custom Class Account--Account Class Definition.mp4 2026-05-22 19:55 47.3 MB
258-Self Check.mp4 2026-05-22 19:55 23.8 MB
259-Controlling Access to Attributes.mp4 2026-05-22 19:56 23.4 MB
260-Properties for Data Access--Test-Driving Class Time.mp4 2026-05-22 19:56 21.1 MB
261-Properties for Data Access--Class Time Definition.mp4 2026-05-22 19:56 67.2 MB
262-Self Check.mp4 2026-05-22 19:56 19.7 MB
263-Properties for Data Access--Class Time Definition Notes.mp4 2026-05-22 19:57 13.9 MB
264-Simulating 'Private' Attributes.mp4 2026-05-22 19:57 20.1 MB
265-Case Study - Card Shuffling and Dealing Simulation--Test Driving Classes Card and DeckOfCards.mp4 2026-05-22 19:57 18.0 MB
266-Case Study - Card Shuffling and Dealing Simulation--Class Card and an Introduction to Class Attributes.mp4 2026-05-22 19:57 36.4 MB
267-Case Study - Card Shuffling and Dealing Simulation--Class DeckOfCards.mp4 2026-05-22 19:58 27.0 MB
268-Case Study - Card Shuffling and Dealing Simulation--Displaying Card Images with Matplotlib.mp4 2026-05-22 19:58 61.6 MB
269-Self Check.mp4 2026-05-22 19:58 18.5 MB
270-Inheritance - Base Classes and Subclasses.mp4 2026-05-22 19:58 14.6 MB
271-Building an Inheritance Hierarchy and Introducing Polymorphism--Base Class CommissionEmployee.mp4 2026-05-22 19:59 33.6 MB
272-Building an Inheritance Hierarchy and Introducing Polymorphism--Sublass SalariedCommissionEmployee.mp4 2026-05-22 19:59 41.3 MB
273-Building an Inheritance Hierarchy and Introducing Polymorphism--Processing CommissionEmployees and SalariedCommissionEmployees Polymorphically.mp4 2026-05-22 19:59 21.0 MB
274-Duck Typing and Polymorphism.mp4 2026-05-22 19:59 15.4 MB
275-Operator Overloading.mp4 2026-05-22 20:00 13.9 MB
276-Test-Driving Class Complex.mp4 2026-05-22 20:00 38.8 MB
277-Class Complex Definition.mp4 2026-05-22 20:00 23.3 MB
278-Self Check.mp4 2026-05-22 20:00 17.0 MB
279-Named Tuples.mp4 2026-05-22 20:00 21.1 MB
280-A Brief Intro to Python 3.7's New Data Classes.mp4 2026-05-22 20:01 9.1 MB
281-A Brief Intro to Python 3.7's New Data Classes--Creating a Card Data Class.mp4 2026-05-22 20:01 34.8 MB
282-A Brief Intro to Python 3.7's New Data Classes--Using the Card Data Class.mp4 2026-05-22 20:01 13.2 MB
283-Self Check.mp4 2026-05-22 20:01 8.9 MB
284-A Brief Intro to Python 3.7's New Data Classes--Advantages Over Named Tuples and Traditional Classes.mp4 2026-05-22 20:01 16.3 MB
285-Unit Testing with Docstrings and doctest.mp4 2026-05-22 20:02 59.4 MB
286-Self Check.mp4 2026-05-22 20:02 15.2 MB
287-Namespaces and Scopes.mp4 2026-05-22 20:02 36.3 MB
288-Intro to Data Science - Time Series and Simple Linear Regression--Introduction.mp4 2026-05-22 20:02 31.7 MB
289-Intro to Data Science - Time Series and Simple Linear Regression--Components of the Simple Linear Regression Calculation.mp4 2026-05-22 20:02 13.1 MB
290-Intro to Data Science - Time Series and Simple Linear Regression--Loading the Average High Temperatures into a DataFrame.mp4 2026-05-22 20:02 9.2 MB
291-Intro to Data Science - Time Series and Simple Linear Regression--Cleaning the Data.mp4 2026-05-22 20:03 11.0 MB
292-Intro to Data Science - Time Series and Simple Linear Regression--Calculating Basic Descriptive Statistics for the Dataset.mp4 2026-05-22 20:03 3.9 MB
293-Intro to Data Science - Time Series and Simple Linear Regression--Forecasting Future January Average High Temperatures.mp4 2026-05-22 20:03 13.8 MB
294-Intro to Data Science - Time Series and Simple Linear Regression--Plotting the Average High Temperatures and a Regression Line.mp4 2026-05-22 20:03 18.6 MB
295-Lesson 11 Overview - Natural Language Processing (NLP).mp4 2026-05-22 20:03 29.8 MB
296-Introduction.mp4 2026-05-22 20:03 12.3 MB
297-TextBlob.mp4 2026-05-22 20:03 29.7 MB
298-Create a TextBlob.mp4 2026-05-22 20:03 15.5 MB
299-Tokenizing Text into Sentences and Words.mp4 2026-05-22 20:03 5.6 MB
300-Parts-of-Speech Tagging.mp4 2026-05-22 20:04 22.4 MB
301-Extracting Noun Phrases.mp4 2026-05-22 20:04 8.9 MB
302-Sentiment Analysis with TextBlob's Default Sentiment Analyzer.mp4 2026-05-22 20:04 8.3 MB
303-Sentiment Analysis with the NaiveBayesAnalyzer.mp4 2026-05-22 20:04 19.7 MB
304-Language Detection and Translation.mp4 2026-05-22 20:04 15.0 MB
305-Inflection - Pluralization and Singularization.mp4 2026-05-22 20:04 10.7 MB
306-Spell Checking and Correction.mp4 2026-05-22 20:04 23.1 MB
307-Normalization - Stemming and Lemmatization.mp4 2026-05-22 20:04 5.9 MB
308-Word Frequencies.mp4 2026-05-22 20:05 28.5 MB
309-Getting Definitions, Synonyms and Antonyms from WordNet.mp4 2026-05-22 20:05 23.0 MB
310-Deleting Stop Word.mp4 2026-05-22 20:05 33.3 MB
311-n-grams.mp4 2026-05-22 20:05 12.2 MB
312-Visualizing Word Frequencies with Pandas.mp4 2026-05-22 20:05 40.5 MB
313-Visualizing Word Frequencies with Word Clouds.mp4 2026-05-22 20:06 33.7 MB
314-Readability Assessment with Textatistic.mp4 2026-05-22 20:06 15.3 MB
315-Named Entity Recognition with spaCy.mp4 2026-05-22 20:06 22.5 MB
316-Similarity Detection with spaCy.mp4 2026-05-22 20:06 28.1 MB
317-Lesson 12 Overview - Data Mining Twitter.mp4 2026-05-22 20:06 16.4 MB
318-Introduction.mp4 2026-05-22 20:06 12.6 MB
319-Overview of the Twitter APIs.mp4 2026-05-22 20:06 38.1 MB
320-Creating a Twitter Developer Account.mp4 2026-05-22 20:06 6.5 MB
321-Getting Twitter Credentials--Creating an App.mp4 2026-05-22 20:07 19.6 MB
322-What's in a Tweet.mp4 2026-05-22 20:07 34.3 MB
323-Tweepy.mp4 2026-05-22 20:07 7.0 MB
324-Authenticating with Twitter Via Tweepy.mp4 2026-05-22 20:07 16.4 MB
325-Getting Information About a Twitter Account.mp4 2026-05-22 20:07 47.9 MB
326-Self Check.mp4 2026-05-22 20:08 8.3 MB
327-Introduction to Tweepy Cursors - Getting an Account's Followers and Friends.mp4 2026-05-22 20:08 8.8 MB
328-Determining an Account's Followers.mp4 2026-05-22 20:08 32.6 MB
329-Self Check.mp4 2026-05-22 20:08 6.7 MB
330-Determining Whom an Account Follows.mp4 2026-05-22 20:08 10.7 MB
331-Getting a User's Recent Tweets.mp4 2026-05-22 20:08 10.5 MB
332-Self Check.mp4 2026-05-22 20:08 2.9 MB
333-Searching Recent Tweets.mp4 2026-05-22 20:08 38.5 MB
334-Self Check.mp4 2026-05-22 20:09 2.9 MB
335-Spotting Trends - Twitter Trends API.mp4 2026-05-22 20:09 2.8 MB
336-Places with Trending Topics.mp4 2026-05-22 20:09 14.5 MB
337-Getting a List of Trending Topics.mp4 2026-05-22 20:09 26.9 MB
338-Self Check.mp4 2026-05-22 20:09 7.0 MB
339-Create a Word Cloud from Trending Topics.mp4 2026-05-22 20:09 17.5 MB
340-Self Check.mp4 2026-05-22 20:09 7.5 MB
341-Cleaning_Preprocessing Tweets for Analysis.mp4 2026-05-22 20:09 20.4 MB
342-Twitter Streaming API.mp4 2026-05-22 20:10 5.0 MB
343-Creating a Subclass of StreamListener.mp4 2026-05-22 20:10 51.6 MB
344-Initiating Stream Processing.mp4 2026-05-22 20:10 42.1 MB
345-Twitter Restrictions Note.mp4 2026-05-22 20:10 4.3 MB
346-Tweet Sentiment Analysis.mp4 2026-05-22 20:11 81.1 MB
347-Geocoding and Mapping.mp4 2026-05-22 20:11 21.8 MB
348-Getting and Mapping the Tweets.mp4 2026-05-22 20:13 130.8 MB
349-Utility Functions in tweetutilities.py and Class LocationListener.mp4 2026-05-22 20:13 51.0 MB
350-Lesson 13 Overview - IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator.mp4 2026-05-22 20:13 8.2 MB
351-Introduction to Watson.mp4 2026-05-22 20:13 21.7 MB
352-IBM Cloud Account and Cloud Console.mp4 2026-05-22 20:13 11.6 MB
353-Watson Services - Watson Assistant Demo.mp4 2026-05-22 20:14 16.3 MB
354-Watson Services - Visual Recognition.mp4 2026-05-22 20:14 21.9 MB
355-Watson Services - Speech to Text.mp4 2026-05-22 20:14 14.5 MB
356-Watson Services - Text to Speech.mp4 2026-05-22 20:14 9.0 MB
357-Watson Services - Language Translator.mp4 2026-05-22 20:14 7.2 MB
358-Watson Services - Natural Language Understanding.mp4 2026-05-22 20:15 13.9 MB
359-Watson Services - Personality Insights.mp4 2026-05-22 20:15 12.0 MB
360-Additional Services and Tools.mp4 2026-05-22 20:15 17.0 MB
361-Watson Developer Cloud Python SDK.mp4 2026-05-22 20:15 12.4 MB
362-Case Study - Traveler's Companion Translation App.mp4 2026-05-22 20:16 6.0 MB
363-Before You run the App.mp4 2026-05-22 20:16 8.5 MB
364-Before You run the App - Registering for the Speech to Text Service.mp4 2026-05-22 20:16 15.7 MB
365-Before You run the App - Registering for the Text to Speech Service.mp4 2026-05-22 20:16 7.9 MB
366-Before You run the App - Registering for the Language Translator Service.mp4 2026-05-22 20:16 5.2 MB
367-Test-Driving the App.mp4 2026-05-22 20:17 51.9 MB
368-SimpleLanguageTranslator.py Script Walkthrough.mp4 2026-05-22 20:17 5.5 MB
369-SimpleLanguageTranslator.py Script Walkthrough - Importing Watson SDK Classes from the ibm_watson Module.mp4 2026-05-22 20:17 13.2 MB
370-SimpleLanguageTranslator.py Script Walkthrough - Other Imported Modules.mp4 2026-05-22 20:17 8.2 MB
371-SimpleLanguageTranslator.py Script Walkthrough - Main Program - Function run_translator.mp4 2026-05-22 20:17 41.7 MB
372-SimpleLanguageTranslator.py Script Walkthrough - Function speech_to_text.mp4 2026-05-22 20:17 39.4 MB
373-SimpleLanguageTranslator.py Script Walkthrough - Function translate.mp4 2026-05-22 20:18 23.0 MB
374-SimpleLanguageTranslator.py Script Walkthrough - Function text_to_speech.mp4 2026-05-22 20:18 15.1 MB
375-SimpleLanguageTranslator.py Script Walkthrough - Function record_audio.mp4 2026-05-22 20:18 32.6 MB
376-SimpleLanguageTranslator.py Script Walkthrough - Function play_audio.mp4 2026-05-22 20:18 6.0 MB
377-Watson Resources.mp4 2026-05-22 20:18 14.2 MB
378-Lesson 14 Overview - Machine Learning - Classification, Regression and Clustering.mp4 2026-05-22 20:18 38.8 MB
379-Introduction to Machine Learning.mp4 2026-05-22 20:19 56.4 MB
380-Case Study - Classification with k-Nearest Neighbors and the Digits Dataset, Part 1.mp4 2026-05-22 20:19 27.5 MB
381-k-Nearest Neighbors Algorithm.mp4 2026-05-22 20:19 22.8 MB
382-k-Nearest Neighbors Algorithm - Hyperparameters and Hyperparameter Tuning.mp4 2026-05-22 20:19 8.5 MB
383-Loading the Dataset.mp4 2026-05-22 20:19 5.2 MB
384-Loading the Dataset - Displaying the Description.mp4 2026-05-22 20:19 16.7 MB
385-Loading the Dataset - Checking the Sample and Target Sizes.mp4 2026-05-22 20:19 13.1 MB
386-Loading the Dataset - A Sample Digit Image.mp4 2026-05-22 20:19 7.6 MB
387-Loading the Dataset - Preparing the Data for Use with Scikit-Learn.mp4 2026-05-22 20:20 11.2 MB
388-Visualizing the Data.mp4 2026-05-22 20:20 24.4 MB
389-Splitting the Data for Training and Testing.mp4 2026-05-22 20:20 24.1 MB
390-Creating the Model.mp4 2026-05-22 20:20 7.4 MB
391-Training the Model.mp4 2026-05-22 20:20 16.3 MB
392-Predicting Digit Classes.mp4 2026-05-22 20:20 16.5 MB
393-Case Study - Classification with k-Nearest Neighbors and the Digits Dataset, Part 2.mp4 2026-05-22 20:20 2.5 MB
394-Metrics for Model Accuracy - Estimator Method score.mp4 2026-05-22 20:20 3.8 MB
395-Metrics for Model Accuracy - Confusion Matrix.mp4 2026-05-22 20:20 19.7 MB
396-Metrics for Model Accuracy - Classification Report.mp4 2026-05-22 20:21 14.9 MB
397-Metrics for Model Accuracy - Visualizing the Confusion Matrix.mp4 2026-05-22 20:21 16.2 MB
398-K-Fold Cross-Validation.mp4 2026-05-22 20:21 23.8 MB
399-Running Multiple Models to Find the Best One.mp4 2026-05-22 20:21 28.6 MB
400-Hyperparameter Tuning.mp4 2026-05-22 20:21 22.7 MB
401-Case Study - Time Series and Simple Linear Regression.mp4 2026-05-22 20:21 12.6 MB
402-Loading the Average High Temperatures into a DataFrame.mp4 2026-05-22 20:22 11.2 MB
403-Splitting the Data for Training and Testing.mp4 2026-05-22 20:22 19.3 MB
404-Training the Model.mp4 2026-05-22 20:22 13.0 MB
405-Testing the Model.mp4 2026-05-22 20:22 6.0 MB
406-Predicting Future Temperatures and Estimating Past Temperatures.mp4 2026-05-22 20:22 8.3 MB
407-Visualizing the Dataset with the Regression Line.mp4 2026-05-22 20:22 18.8 MB
408-Overfitting_Underfitting.mp4 2026-05-22 20:22 7.1 MB
409-Case Study - Multiple Linear Regression with the California Housing Dataset.mp4 2026-05-22 20:22 7.6 MB
410-Loading the Dataset.mp4 2026-05-22 20:23 24.8 MB
411-Exploring the Data with Pandas.mp4 2026-05-22 20:23 24.4 MB
412-Visualizing the Features.mp4 2026-05-22 20:23 61.8 MB
413-Splitting the Data for Training and Testing.mp4 2026-05-22 20:23 5.9 MB
414-Training the Model.mp4 2026-05-22 20:23 15.7 MB
415-Testing the Model.mp4 2026-05-22 20:23 6.6 MB
416-Visualizing the Expected vs. Predicted Prices.mp4 2026-05-22 20:24 26.4 MB
417-Regression Model Metrics.mp4 2026-05-22 20:24 12.1 MB
418-Choosing the Best Model.mp4 2026-05-22 20:24 24.8 MB
419-Case Study - Unsupervised Machine Learning, Part 1--Dimensionality Reduction.mp4 2026-05-22 20:24 19.8 MB
420-Loading the Digits Dataset.mp4 2026-05-22 20:24 6.5 MB
421-Creating a TSNE Estimator for Dimensionality Reduction.mp4 2026-05-22 20:24 12.0 MB
422-Transforming the Digits Dataset's Features into Two Dimensions.mp4 2026-05-22 20:24 7.4 MB
423-Visualizing the Reduced Data.mp4 2026-05-22 20:24 13.7 MB
424-Visualizing the Reduced Data with Different Colors for Each Digit.mp4 2026-05-22 20:24 16.3 MB
425-Visualizing the Reduced Data in 3D.mp4 2026-05-22 20:24 22.3 MB
426-Case Study - Unsupervised Machine Learning, Part 2--k-Means Clustering.mp4 2026-05-22 20:25 12.6 MB
427-Loading the Iris Dataset.mp4 2026-05-22 20:25 12.5 MB
428-Exploring the Iris Dataset - Descriptive Statistics with Pandas.mp4 2026-05-22 20:25 21.7 MB
429-Visualizing the Dataset with a Seaborn pairplot.mp4 2026-05-22 20:25 35.7 MB
430-Using a KMeans Estimator.mp4 2026-05-22 20:25 19.3 MB
431-Dimensionality Reduction with Principal Component Analysis.mp4 2026-05-22 20:25 36.8 MB
432-Choosing the Best Clustering Estimator.mp4 2026-05-22 20:26 24.6 MB
433-Lesson 15 Overview - Deep Learning.mp4 2026-05-22 20:26 36.8 MB
434-Introduction.mp4 2026-05-22 20:26 23.4 MB
435-Deep Learning Applications.mp4 2026-05-22 20:26 11.5 MB
436-Deep Learning Demos.mp4 2026-05-22 20:26 7.9 MB
437-Keras Resources.mp4 2026-05-22 20:26 6.6 MB
438-Keras Built-In Datasets.mp4 2026-05-22 20:26 6.6 MB
439-Custom Anaconda Environments.mp4 2026-05-22 20:27 28.6 MB
440-Neural Networks.mp4 2026-05-22 20:27 21.4 MB
441-Tensors.mp4 2026-05-22 20:27 13.7 MB
442-Convolutional Neural Networks for Vision; Multi-Classification with the MNIST Dataset.mp4 2026-05-22 20:27 11.6 MB
443-Reproducibility in Keras and Deep Learning.mp4 2026-05-22 20:27 5.0 MB
444-Basic Keras Neural Network.mp4 2026-05-22 20:27 11.0 MB
445-Loading the MNIST Dataset.mp4 2026-05-22 20:28 26.9 MB
446-Data Exploration.mp4 2026-05-22 20:28 4.0 MB
447-Visualizing Digits.mp4 2026-05-22 20:28 25.6 MB
448-Reshaping the Image Data.mp4 2026-05-22 20:28 17.4 MB
449-Normalizing the Image Data.mp4 2026-05-22 20:28 9.3 MB
450-One-Hot Encoding - Converting the Labels From Integers to Categorical Data.mp4 2026-05-22 20:28 18.6 MB
451-Creating the Neural Network.mp4 2026-05-22 20:28 4.1 MB
452-Adding Layers to the Network.mp4 2026-05-22 20:29 6.2 MB
453-Convolution.mp4 2026-05-22 20:29 25.9 MB
454-Adding a Conv2D Convolution Layer to Our Model.mp4 2026-05-22 20:29 16.5 MB
455-Dimensionality of the First Convolution Layer’s Output.mp4 2026-05-22 20:29 6.9 MB
456-Overfitting.mp4 2026-05-22 20:29 11.9 MB
457-Adding a Pooling Layer.mp4 2026-05-22 20:29 14.0 MB
458-Adding Another Convolutional Layer and Pooling Layer.mp4 2026-05-22 20:30 13.2 MB
459-Flattening the Results to One Dimension with a Keras Flatten Layer.mp4 2026-05-22 20:30 5.2 MB
460-Adding a Dense Layer to Reduce the Number of Features.mp4 2026-05-22 20:30 9.2 MB
461-Adding Another Dense Layer to Produce the Final Output.mp4 2026-05-22 20:30 5.2 MB
462-Printing the Model's Summary.mp4 2026-05-22 20:30 13.3 MB
463-Visualizing a Model’s Structure.mp4 2026-05-22 20:30 10.7 MB
464-Compiling the Model.mp4 2026-05-22 20:30 8.5 MB
465-Training and Evaluating the Model.mp4 2026-05-22 20:30 26.6 MB
466-Evaluating the Model on Unseen Data.mp4 2026-05-22 20:30 6.1 MB
467-Making Predictions.mp4 2026-05-22 20:31 7.1 MB
468-Locating the Incorrect Predictions.mp4 2026-05-22 20:31 11.8 MB
469-Visualizing Incorrect Predictions.mp4 2026-05-22 20:31 15.5 MB
470-Displaying the Probabilities for Several Incorrect Predictions.mp4 2026-05-22 20:31 16.4 MB
471-Saving and Loading a Model.mp4 2026-05-22 20:31 7.4 MB
472-Visualizing Neural Network Training with TensorBoard.mp4 2026-05-22 20:31 76.1 MB
473-ConvnetJS - Browser-Based Deep-Learning Training and Visualization.mp4 2026-05-22 20:32 21.1 MB
474-Recurrent Neural Networks for Sequences; Sentiment Analysis with the IMDb Dataset.mp4 2026-05-22 20:32 20.4 MB
475-Loading the IMDb Movie Reviews Dataset.mp4 2026-05-22 20:32 20.1 MB
476-Data Exploration.mp4 2026-05-22 20:32 9.0 MB
477-Movie Review Encodings and Decoding a Review.mp4 2026-05-22 20:32 33.3 MB
478-Data Preparation.mp4 2026-05-22 20:32 18.6 MB
479-Creating the Neural Network.mp4 2026-05-22 20:33 2.2 MB
480-Adding an Embedding Layer.mp4 2026-05-22 20:33 13.3 MB
481-Adding an LSTM Layer.mp4 2026-05-22 20:33 15.4 MB
482-Adding a Dense Output Layer.mp4 2026-05-22 20:33 2.5 MB
483-Compiling the Model and Displaying the Summary.mp4 2026-05-22 20:33 8.0 MB
484-Training and Evaluating the Model (1 of 2).mp4 2026-05-22 20:33 20.8 MB
485-Training and Evaluating the Model (2 of 2).mp4 2026-05-22 20:33 8.4 MB
486-Tuning Deep Learning Models.mp4 2026-05-22 20:33 13.0 MB
487-Lesson 16 Overview - Big Data - Hadoop, Spark, NoSQL (MongoDB) and IoT.mp4 2026-05-22 20:34 52.3 MB
488-Introduction--Databases.mp4 2026-05-22 20:34 11.0 MB
489-Introduction--Apache Hadoop and Apache Spark.mp4 2026-05-22 20:34 13.2 MB
490-Introduction--Internet of Things.mp4 2026-05-22 20:34 6.2 MB
491-Introduction--Experience Cloud and Desktop Big-Data Software.mp4 2026-05-22 20:34 11.4 MB
492-Introduction--Big Data Sources.mp4 2026-05-22 20:34 5.0 MB
493-Relational Databases and Structured Query Language (SQL).mp4 2026-05-22 20:35 11.2 MB
494-A books Database.mp4 2026-05-22 20:35 38.8 MB
495-SELECT Queries.mp4 2026-05-22 20:35 3.5 MB
496-WHERE Clause.mp4 2026-05-22 20:35 9.6 MB
497-ORDER BY Clause.mp4 2026-05-22 20:35 7.9 MB
498-Merging Data from Multiple Tables - INNER JOIN.mp4 2026-05-22 20:35 5.4 MB
499-INSERT INTO Statement.mp4 2026-05-22 20:35 7.4 MB
500-UPDATE Statement.mp4 2026-05-22 20:35 4.6 MB
501-DELETE FROM Statement.mp4 2026-05-22 20:36 5.7 MB
502-NoSQL and NewSQL Big-Data Databases - A Brief Tour.mp4 2026-05-22 20:36 13.2 MB
503-NoSQL Key-Value Databases.mp4 2026-05-22 20:36 5.2 MB
504-NoSQL Document Databases.mp4 2026-05-22 20:36 5.2 MB
505-NoSQL Columnar Databases.mp4 2026-05-22 20:36 9.3 MB
506-NoSQL Graph Databases.mp4 2026-05-22 20:36 7.9 MB
507-NewSQL Databases.mp4 2026-05-22 20:37 13.8 MB
508-Case Study - A MongoDB JSON Document Database.mp4 2026-05-22 20:37 12.5 MB
509-Creating the MongoDB Atlas Cluster.mp4 2026-05-22 20:37 27.3 MB
510-Streaming Tweets into MongoDB.mp4 2026-05-22 20:37 88.2 MB
511-Hadoop.mp4 2026-05-22 20:38 2.7 MB
512-Hadoop Overview.mp4 2026-05-22 20:39 25.9 MB
513-Summarizing Word Lengths in Romeo and Juliet via MapReduce.mp4 2026-05-22 20:39 9.4 MB
514-Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight - Part 1.mp4 2026-05-22 20:39 14.5 MB
515-Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight - Part 2.mp4 2026-05-22 20:39 44.0 MB
516-Hadoop Streaming.mp4 2026-05-22 20:39 9.9 MB
517-Implementing the Mapper.mp4 2026-05-22 20:39 17.3 MB
518-Implementing the Reducer.mp4 2026-05-22 20:39 13.7 MB
519-Preparing to Run the MapReduce Example.mp4 2026-05-22 20:40 25.6 MB
520-Running the MapReduce Job.mp4 2026-05-22 20:40 49.6 MB
521-Spark Overview.mp4 2026-05-22 20:40 22.5 MB
522-Docker and the Jupyter Docker Stacks.mp4 2026-05-22 20:41 64.6 MB
523-Word Count with Spark.mp4 2026-05-22 20:41 57.3 MB
524-Spark Word Count on Microsoft Azure.mp4 2026-05-22 20:41 64.6 MB
525-Spark Streaming - Counting Twitter Hashtags Using the pysparknotebook Docker Stack.mp4 2026-05-22 20:41 23.2 MB
526-Streaming Tweets to a Socket.mp4 2026-05-22 20:42 41.2 MB
527-Summarizing Tweet Hashtags; Introducing Spark SQL.mp4 2026-05-22 20:42 76.2 MB
528-Internet of Things and Dashboards.mp4 2026-05-22 20:42 4.4 MB
529-Publish and Subscribe.mp4 2026-05-22 20:42 2.5 MB
530-Visualizing a PubNub Sample Live Stream with a Freeboard Dashboard.mp4 2026-05-22 20:42 34.6 MB
531-Simulating an Internet-Connected Thermostat in Python and Creating a Dashbboard in Freeboard.io.mp4 2026-05-22 20:43 49.7 MB
532-Creating a Python PubNub Subscriber.mp4 2026-05-22 20:43 53.8 MB

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