Python Fundamentals with Paul Deitel, 2nd Ed. Parts I, II, III, IV and V (2025)

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Python Fundamentals with Paul Deitel, 2nd Ed. Parts I, II, III, IV and V (2025)

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收录时间：2025-08-19
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文件列表

  • Part 1/01. Introduction/001. Introduction to Python Fundamentals - Part 1.mp4 190.3 MB
  • Part 5/01. Introduction/001. Introduction to Python Fundamentals - Part 5.mp4 109.7 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/032. Getting and Mapping the Tweets.mp4 104.5 MB
  • Part 3/01. Introduction/001. Introduction to Python Fundamentals - Part 3.mp4 94.4 MB
  • Part 4/01. Introduction/001. Introduction to Python Fundamentals - Part 4.mp4 90.4 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/001. Lesson overview.mp4 86.7 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/024. Streaming Tweets into MongoDB.mp4 84.1 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/027. Intro to Data Science - Dynamic Visualizations--Implementing Dynamic Visualization, Part 1.mp4 78.7 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/030. Tweet Sentiment Analysis.mp4 73.5 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/041. Summarizing Tweet Hashtags Introducing Spark SQL.mp4 72.7 MB
  • Part 5/03. Lesson 15 - Deep Learning/040. Visualizing Neural Network Training with TensorBoard.mp4 72.5 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/026. Merge Sort Implementation.mp4 68.2 MB
  • Part 2/01. Introduction/001. Introduction to Python Fundamentals - Part 2.mp4 67.1 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/001. Lesson overview.mp4 64.5 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/012. Decision Making - The if Statement and Comparison Operators.mp4 64.1 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/007. Properties for Data Access--Class Time Definition.mp4 63.1 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/038. Spark Word Count on Microsoft Azure.mp4 61.6 MB
  • Part 5/03. Lesson 15 - Deep Learning/001. Lesson overview.mp4 60.9 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/001. Lesson overview.mp4 59.7 MB
  • Part 1/07. Lesson 04 - Functions/008. Case Study - A Game of Chance.mp4 59.0 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/016. Binary Search Implementation.mp4 57.2 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/036. Docker and the Jupyter Docker Stacks.mp4 56.5 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/014. Case Study - Card Shuffling and Dealing Simulation--Displaying Card Images with Matplotlib.mp4 56.1 MB
  • Part 3/05. [New in 2024] What's New in Python/008. Pattern Matching with match...case.mp4 56.0 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/031. Unit Testing with Docstrings and doctest.mp4 55.5 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/037. Word Count with Spark.mp4 54.3 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/035. Visualizing the Features.mp4 54.0 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/002. Introduction to Machine Learning.mp4 53.3 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/046. Creating a Python PubNub Subscriber.mp4 50.4 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/001. Lesson overview.mp4 50.2 MB
  • Part 1/06. Lesson 03 - Control Statements/017. Using Type Decimal for Monetary Amounts.mp4 49.4 MB
  • Part 3/05. [New in 2024] What's New in Python/026. Type Annotations for kwargs.mp4 48.7 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/003. Recursive Factorial Example Recursive Problem-Solving.mp4 48.4 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/027. Creating a Subclass of StreamListener.mp4 48.3 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/033. Utility Functions in tweetutilities.py and Class LocationListener.mp4 46.8 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/045. Simulating an Internet-Connected Thermostat in Python and Creating a Dashbboard .mp4 46.5 MB
  • Part 3/05. [New in 2024] What's New in Python/024. Exception Groups and except.mp4 46.1 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/026. Filter, Map and Reduce.mp4 45.2 MB
  • Part 1/07. Lesson 04 - Functions/002. Defining Functions.mp4 44.8 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/034. Running the MapReduce Job.mp4 43.6 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/003. Custom Class Account--Account Class Definition.mp4 43.2 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/002. Lists.mp4 42.9 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/009. Getting Information About a Twitter Account.mp4 42.3 MB
  • Part 3/05. [New in 2024] What's New in Python/001. Overview - What's New in Python.mp4 42.1 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/029. Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight - Part 2.mp4 41.8 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/036. Visualizing Die-Roll Frequencies and Percentages--Part 3.mp4 41.4 MB
  • Part 1/04. [Updated in 2025] Lesson 01 - Test-Driving IPython and Jupyter Notebooks/005. Writing and Executing Code in a Jupyter Notebook Opening Ju.mp4 40.2 MB
  • Part 1/04. [Updated in 2025] Lesson 01 - Test-Driving IPython and Jupyter Notebooks/002. Using IPython Interactive Mode as a Calculator.mp4 39.9 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/035. Visualizing Die-Roll Frequencies and Percentages--Part 2.mp4 39.6 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/016. Intro to Data Science - Basic Descriptive Statistics.mp4 39.5 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/028. Initiating Stream Processing.mp4 39.3 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/040. Streaming Tweets to a Socket.mp4 39.2 MB
  • Part 3/05. [New in 2024] What's New in Python/029. @override Decorator for Overridden Methods in Subclasses.mp4 38.4 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/020. Selection Sort Implementation.mp4 38.2 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/018. Building an Inheritance Hierarchy and Introducing Polymorphism--Sublass SalariedCommissionEm.mp4 37.9 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/018. Visualizing Word Frequencies with Pandas.mp4 37.6 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/002. Variables and Assignment Statements.mp4 36.7 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/008. A books Database.mp4 36.5 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/009. List vs. array Performance - Introducing timeit.mp4 36.0 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/003. Overview of the Twitter APIs.mp4 35.9 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/022. SimpleLanguageTranslator.py Script Walkthrough - Main Program - Function run trans.mp4 35.6 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/017. Searching Recent Tweets.mp4 35.0 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/023. SimpleLanguageTranslator.py Script Walkthrough - Function speech to text.mp4 34.3 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/054. Dimensionality Reduction with Principal Component Analysis.mp4 34.2 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/012. Case Study - Card Shuffling and Dealing Simulation--Class Card and an Introduction to Class .mp4 34.1 MB
  • Part 1/04. [Updated in 2025] Lesson 01 - Test-Driving IPython and Jupyter Notebooks/007. Writing and Executing Code in a Jupyter Notebook Adding and.mp4 34.0 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/033. Namespaces and Scopes.mp4 33.7 MB
  • Part 3/05. [New in 2024] What's New in Python/018. Keyword-Only Parameters and Arbitrary Keyword Arguments.mp4 33.1 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/052. Visualizing the Dataset with a Seaborn pairplot.mp4 33.0 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/001. Lesson overview.mp4 32.8 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/044. Visualizing a PubNub Sample Live Stream with a Freeboard Dashboard.mp4 32.8 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/006. What's in a Tweet.mp4 32.7 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/004. Tuples.mp4 32.2 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/027. A Brief Intro to Python 3.7's New Data Classes--Creating a Card Data Class.mp4 31.5 MB
  • Part 5/03. Lesson 15 - Deep Learning/045. Movie Review Encodings and Decoding a Review.mp4 31.5 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/005. Recursive Fibonacci Series Example Complexity Issues.mp4 31.1 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/034. Visualizing Die-Roll Frequencies and Percentages--Part 1.mp4 31.0 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/017. Building an Inheritance Hierarchy and Introducing Polymorphism--Base Class CommissionEmploye.mp4 31.0 MB
  • Part 1/06. Lesson 03 - Control Statements/014. Sentinel-Controlled Iteration.mp4 30.4 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/006. Unpacking Sequences.mp4 30.2 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/019. Visualizing Word Frequencies with Word Clouds.mp4 30.2 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/001. Lesson overview.mp4 30.0 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/037. Visualizing Die-Roll Frequencies and Percentages--Part 4.mp4 30.0 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/019. Other List Methods.mp4 29.9 MB
  • Part 1/07. Lesson 04 - Functions/016. Scope Rules.mp4 29.4 MB
  • Part 1/07. Lesson 04 - Functions/022. Intro to Data Science - Measures of Dispersion.mp4 29.3 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/026. SimpleLanguageTranslator.py Script Walkthrough - Function record audio.mp4 29.2 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/034. Intro to Data Science - Time Series and Simple Linear Regression--Introduction.mp4 29.1 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/006. Recursive Fibonacci Series Example Memoization to Increase Recursion Performance.mp4 28.7 MB
  • Part 1/07. Lesson 04 - Functions/006. Random-Number Generation.mp4 28.6 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/004. Arithmetic.mp4 28.4 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/001. Lesson overview.mp4 28.2 MB
  • Part 1/06. Lesson 03 - Control Statements/012. Sequence-Controlled Iteration.mp4 28.0 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/001. Lesson overview.mp4 27.6 MB
  • Part 1/06. Lesson 03 - Control Statements/008. for Statement Iterables, Lists and Iterators Built-in range Function.mp4 27.4 MB
  • Part 1/03. [Updated in 2025] Before You Begin/007. Creating a Custom Environment.mp4 27.3 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/012. Determining an Account's Followers.mp4 27.2 MB
  • Part 1/07. Lesson 04 - Functions/001. Lesson overview.mp4 27.2 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/017. try Statements.mp4 27.2 MB
  • Part 1/06. Lesson 03 - Control Statements/001. Lesson overview.mp4 27.1 MB
  • Part 5/03. Lesson 15 - Deep Learning/007. Custom Anaconda Environments.mp4 26.9 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/010. Getting Input from the User.mp4 26.3 MB
  • Part 1/06. Lesson 03 - Control Statements/004. if...else and if...elif...else Statements.mp4 26.3 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/004. Recursive Fibonacci Series Example.mp4 26.2 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/003. TextBlob.mp4 26.0 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/022. Running Multiple Models to Find the Best One.mp4 25.9 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/023. Creating the MongoDB Atlas Cluster.mp4 25.9 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/022. Similarity Detection with spaCy.mp4 25.7 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/003. Case Study - Classification with k-Nearest Neighbors and the.mp4 25.6 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/006. Function print and an Intro to Single- and Double-Quoted Strings.mp4 25.5 MB
  • Part 5/03. Lesson 15 - Deep Learning/033. Training and Evaluating the Model.mp4 25.2 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/001. Lesson overview.mp4 25.1 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/013. Case Study - Card Shuffling and Dealing Simulation--Class DeckOfCards.mp4 25.0 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/021. Getting a List of Trending Topics.mp4 24.9 MB
  • Part 1/06. Lesson 03 - Control Statements/022. Intro to Data Science - Measures of Central Tendency--Mean, Median and Mode.mp4 24.8 MB
  • Part 5/03. Lesson 15 - Deep Learning/015. Visualizing Digits.mp4 24.3 MB
  • Part 1/07. Lesson 04 - Functions/004. Functions with Multiple Parameters.mp4 24.2 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/001. Lesson overview.mp4 24.2 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/026. Hadoop Overview.mp4 24.0 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/012. Example - Word Counts.mp4 24.0 MB
  • Part 5/03. Lesson 15 - Deep Learning/021. Convolution.mp4 23.8 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/039. Visualizing the Expected vs. Predicted Prices.mp4 23.7 MB
  • Part 5/03. Lesson 15 - Deep Learning/013. Loading the MNIST Dataset.mp4 23.5 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/055. Choosing the Best Clustering Estimator.mp4 23.2 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/027. Self Check.mp4 23.1 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/011. Visualizing the Data.mp4 23.1 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/033. Preparing to Run the MapReduce Example.mp4 23.1 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/026. Intro to Data Science - Dynamic Visualizations--How Dynamic Visualization Works.mp4 23.0 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/012. Splitting the Data for Training and Testing.mp4 22.7 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/041. Choosing the Best Model.mp4 22.6 MB
  • Part 3/05. [New in 2024] What's New in Python/010. Enums for Creating Named Constants.mp4 22.5 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/017. Searching Sequences.mp4 22.5 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/028. Other Sequence Processing Functions.mp4 22.4 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/004. Self Check.mp4 22.4 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/033. Loading the Dataset.mp4 22.4 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/034. Exploring the Data with Pandas.mp4 22.4 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/009. Linear Search .mp4 22.1 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/021. K-Fold Cross-Validation.mp4 22.1 MB
  • Part 5/03. Lesson 15 - Deep Learning/002. Introduction.mp4 22.1 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/023. Intro to Data Science - Working with CSV Files--Python Standard Library Module csv.mp4 21.8 MB
  • Part 1/07. Lesson 04 - Functions/019. Passing Arguments to Functions - A Deeper Look.mp4 21.5 MB
  • Part 1/04. [Updated in 2025] Lesson 01 - Test-Driving IPython and Jupyter Notebooks/003. Executing a Python Program Using the IPython Interpreter.mp4 21.5 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/001. Lesson overview.mp4 21.5 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/015. Getting Definitions, Synonyms and Antonyms from WordNet.mp4 21.4 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/023. Class Complex Definition.mp4 21.3 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/006. Parts-of-Speech Tagging.mp4 21.2 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/041. Intro to Data Science - Pandas, Regular Expressions and Data Munging Part 4 - Reformatting Your .mp4 21.1 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/039. Spark Streaming - Counting Twitter Hashtags Using the pysparknotebook Docker Sta.mp4 21.1 MB
  • Part 1/06. Lesson 03 - Control Statements/002. if Statement.mp4 21.1 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/035. Spark Overview.mp4 20.9 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/006. Basic Dictionary Operarations.mp4 20.9 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/021. Named Entity Recognition with spaCy.mp4 20.9 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/002. Custom Class Account--Test-Driving Class Account.mp4 20.8 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/031. Geocoding and Mapping.mp4 20.6 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/026. Intro to Data Science - Working with CSV Files--Reading the Titanic Disaster Dataset.mp4 20.6 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/023. Hyperparameter Tuning.mp4 20.6 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/004. array Attributes.mp4 20.5 MB
  • Part 5/03. Lesson 15 - Deep Learning/041. ConvnetJS - Browser-Based Deep-Learning Training and Visualization.mp4 20.4 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/024. SimpleLanguageTranslator.py Script Walkthrough - Function translate.mp4 20.4 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/048. Visualizing the Reduced Data in 3D.mp4 20.4 MB
  • Part 1/03. [Updated in 2025] Before You Begin/006. Package managers.mp4 20.2 MB
  • Part 5/03. Lesson 15 - Deep Learning/008. Neural Networks.mp4 20.2 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/002. Introduction to Watson.mp4 20.2 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/005. Watson Services - Visual Recognition.mp4 20.1 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/051. Exploring the Iris Dataset - Descriptive Statistics with Pan.mp4 19.9 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/009. Sequence Slicing Part 1 - Getting a Subset of a Sequence.mp4 19.9 MB
  • Part 1/04. [Updated in 2025] Lesson 01 - Test-Driving IPython and Jupyter Notebooks/001. Lesson overview.mp4 19.7 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/023. Insertion Sort Implementation.mp4 19.7 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/008. Dictionary Methods keys and values.mp4 19.5 MB
  • Part 5/03. Lesson 15 - Deep Learning/052. Training and Evaluating the Model (1 of 2).mp4 19.4 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/027. Intro to Data Science - pandas Series and DataFrames--pandas Series Part 1.mp4 19.1 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/019. Building an Inheritance Hierarchy and Introducing Polymorphism--Processing CommissionEmploye.mp4 19.1 MB
  • Part 5/03. Lesson 15 - Deep Learning/043. Loading the IMDb Movie Reviews Dataset.mp4 19.1 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/013. Efficiency of Algorithms - Big O O(n^2) Algorithms.mp4 19.1 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/008. Triple-Quoted Strings.mp4 19.1 MB
  • Part 5/03. Lesson 15 - Deep Learning/042. Recurrent Neural Networks for Sequences Sentiment Analysis with the IMDb Dataset.mp4 19.0 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/025. CleaningPreprocessing Tweets for Analysis.mp4 18.9 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/006. Properties for Data Access--Test-Driving Class Time.mp4 18.9 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/018. Test-Driving the App.mp4 18.8 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/011. array Operators.mp4 18.8 MB
  • Part 3/05. [New in 2024] What's New in Python/021. Named Unicode Characters in Regular Expressions.mp4 18.6 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/008. Self Check.mp4 18.6 MB
  • Part 1/06. Lesson 03 - Control Statements/020. Boolean Operators and, or and not.mp4 18.5 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/018. Metrics for Model Accuracy - Confusion Matrix.mp4 18.4 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/042. Case Study - Unsupervised Machine Learning, Part 1--Dimensio.mp4 18.4 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/011. Self Check.mp4 18.2 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/019. finally Clause.mp4 18.2 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/010. Simulating Private Attributes.mp4 18.2 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/021. Splitting and Joining Strings.mp4 18.1 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/005. Getting Twitter Credentials--Creating an App.mp4 17.9 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/014. Objects and Dynamic Typing.mp4 17.9 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/009. Sentiment Analysis with the NaiveBayesAnalyzer.mp4 17.8 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/008. Self Check.mp4 17.8 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/053. Using a KMeans Estimator.mp4 17.8 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/025. Named Tuples.mp4 17.8 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/026. Splitting the Data for Training and Testing.mp4 17.8 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/040. Intro to Data Science - Time Series and Simple Linear Regression--Plotting the Average High .mp4 17.7 MB
  • Part 5/03. Lesson 15 - Deep Learning/046. Data Preparation.mp4 17.6 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/030. Visualizing the Dataset with the Regression Line.mp4 17.5 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/029. Self Check.mp4 17.5 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/018. Sets.mp4 17.4 MB
  • Part 3/05. [New in 2024] What's New in Python/015. Optional Length-Checking for zip.mp4 17.3 MB
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  • Part 1/02. Watch This First! Python Fundamentals, 2e Sneak Peek/001. Watch This First! Python Fundamentals, 2e Sneak Peek.mp4 17.2 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/040. Intro to Data Science - pandas Series and DataFrames--Sorting by Column Values.mp4 17.2 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/020. Comparing Sets.mp4 17.0 MB
  • Part 5/03. Lesson 15 - Deep Learning/018. One-Hot Encoding - Converting the Labels From Integers to Categorical Data.mp4 17.0 MB
  • Part 1/07. Lesson 04 - Functions/015. Methods - Functions That Belong to Objects.mp4 17.0 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/029. Self Check.mp4 17.0 MB
  • Part 1/03. [Updated in 2025] Before You Begin/004. Installing Anaconda.mp4 16.9 MB
  • Part 1/04. [Updated in 2025] Lesson 01 - Test-Driving IPython and Jupyter Notebooks/008. Writing and Executing Code in a Jupyter Notebook Opening an.mp4 16.9 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/022. List Comprehensions.mp4 16.9 MB
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  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/015. Sorting Lists.mp4 16.4 MB
  • Part 5/03. Lesson 15 - Deep Learning/016. Reshaping the Image Data.mp4 16.4 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/010. Sequence Slicing Part 2 - Modifying a List.mp4 16.3 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/024. Self Check.mp4 16.3 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/023. Create a Word Cloud from Trending Topics.mp4 16.1 MB
  • Part 3/05. [New in 2024] What's New in Python/005. Assignment Expressions The -= Walrus Operator.mp4 16.1 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/011. Case Study - Card Shuffling and Dealing Simulation--Test Driving Classes Card and DeckOfCard.mp4 16.1 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/011. Additional Services and Tools.mp4 16.0 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/007. Updating Text Files.mp4 15.9 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/028. Intro to Data Science - pandas Series and DataFrames--pandas Series Part 2.mp4 15.8 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/022. Self Check.mp4 15.8 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/031. Implementing the Mapper.mp4 15.7 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/022. Mathematical Set Operations.mp4 15.7 MB
  • Part 5/03. Lesson 15 - Deep Learning/022. Adding a Conv2D Convolution Layer to Our Model.mp4 15.7 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/007. Creating arrays from Ranges.mp4 15.7 MB
  • Part 5/03. Lesson 15 - Deep Learning/038. Displaying the Probabilities for Several Incorrect Predictions.mp4 15.6 MB
  • Part 1/06. Lesson 03 - Control Statements/023. Self Check.mp4 15.4 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/015. Predicting Digit Classes.mp4 15.4 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/047. Visualizing the Reduced Data with Different Colors for Each .mp4 15.4 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/013. NumPy Calculation Methods.mp4 15.2 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/007. Loading the Dataset - Displaying the Description.mp4 15.1 MB
  • Part 1/04. [Updated in 2025] Lesson 01 - Test-Driving IPython and Jupyter Notebooks/004. Writing and Executing Code in a Jupyter Notebook Overview.mp4 15.1 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/017. Big O of the Binary Search.mp4 15.1 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/020. Metrics for Model Accuracy - Visualizing the Confusion Matri.mp4 15.1 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/030. A Brief Intro to Python 3.7's New Data Classes--Advantages Over Named Tuples and Traditional.mp4 15.0 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/013. Python Standard Library Module collections.mp4 15.0 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/004. Watson Services - Watson Assistant Demo.mp4 14.9 MB
  • Part 5/03. Lesson 15 - Deep Learning/049. Adding an LSTM Layer.mp4 14.9 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/008. Authenticating with Twitter Via Tweepy.mp4 14.9 MB
  • Part 1/03. [Updated in 2025] Before You Begin/003. Structure of the examples Folder.mp4 14.9 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/014. Training the Model.mp4 14.9 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/015. Before You run the App - Registering for the Speech to Text Service.mp4 14.9 MB
  • Part 1/07. Lesson 04 - Functions/012. Keyword Arguments.mp4 14.9 MB
  • Part 1/03. [Updated in 2025] Before You Begin/005. Updating Anaconda.mp4 14.9 MB
  • Part 5/03. Lesson 15 - Deep Learning/037. Visualizing Incorrect Predictions.mp4 14.8 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/030. Intro to Data Science - pandas Series and DataFrames--Creating DataFrames and Cust.mp4 14.6 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/003. Self Check.mp4 14.5 MB
  • Part 3/05. [New in 2024] What's New in Python/009. Positional-Only Parameters.mp4 14.5 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/030. Two-Dimensional Lists.mp4 14.5 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/020. Readability Assessment with Textatistic.mp4 14.4 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/003. Text-File Processing--Writing to a Text File - Introducing the with Statement.mp4 14.4 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/037. Training the Model.mp4 14.4 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/017. Indexing and Slicing.mp4 14.4 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/042. Self Check.mp4 14.3 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/001. Lesson overview.mp4 14.2 MB
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  • Part 2/03. Lesson 06 - Dictionaries and Sets/024. Mutable Set Operators and Methods.mp4 14.2 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/015. Universal Functions.mp4 14.2 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/020. Duck Typing and Polymorphism.mp4 14.1 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/039. Intro to Data Science - Pandas, Regular Expressions and Data Munging Part 1 - Introduction.mp4 14.0 MB
  • Part 1/05. Lesson 02 - Intro to Python Programming/009. Self Check.mp4 14.0 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/019. Metrics for Model Accuracy - Classification Report.mp4 13.9 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/006. Watson Services - Speech to Text.mp4 13.9 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/005. Text-File Processing--Reading Data from a Text File.mp4 13.8 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/024. Generator Expressions.mp4 13.8 MB
  • Part 5/05. Recursion, Searching, Sorting and Big O/001. Overview - Recursion, Searching, Sorting and Big O.mp4 13.8 MB
  • Part 1/07. Lesson 04 - Functions/014. Self Check.mp4 13.7 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/009. Self Check.mp4 13.7 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/010. Language Detection and Translation.mp4 13.7 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/020. Places with Trending Topics.mp4 13.7 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/011. Example - Dictionary of Student Grades.mp4 13.7 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/016. Inheritance - Base Classes and Subclasses.mp4 13.6 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/019. Views - Shallow Copies.mp4 13.5 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/028. Watson Resources.mp4 13.3 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/022. Test-Driving Class Complex.mp4 13.2 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/009. Watson Services - Natural Language Understanding.mp4 13.2 MB
  • Part 3/05. [New in 2024] What's New in Python/017. Dictionary Union Operators.mp4 13.2 MB
  • Part 5/03. Lesson 15 - Deep Learning/025. Adding a Pooling Layer.mp4 13.1 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/021. Operator Overloading.mp4 13.1 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/025. SimpleLanguageTranslator.py Script Walkthrough - Function text to speech.mp4 13.1 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/021. NewSQL Databases.mp4 13.0 MB
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  • Part 3/05. [New in 2024] What's New in Python/004. Multiple Selection with the match...case Statement.mp4 13.0 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/033. Sample Graphs for 600, 60,000 and 6,000,000 Die Rolls.mp4 12.9 MB
  • Part 5/03. Lesson 15 - Deep Learning/009. Tensors.mp4 12.9 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/027. Intro to Data Science - Working with CSV Files--Simple Data Analysis with the Titanic Disaster Data.mp4 12.8 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/014. Passing Lists to Functions.mp4 12.8 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/039. Intro to Data Science - Time Series and Simple Linear Regression--Forecasting Future January.mp4 12.8 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/027. re Module and Function fullmatch Part 2--Metacharacters, Character Classes and Quantifiers.mp4 12.7 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/028. Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight - Part 1.mp4 12.7 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/046. Visualizing the Reduced Data.mp4 12.6 MB
  • Part 3/05. [New in 2024] What's New in Python/028. Built-in Collection Types in Type Hints.mp4 12.6 MB
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  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/003. Introduction--Apache Hadoop and Apache Spark.mp4 12.5 MB
  • Part 5/03. Lesson 15 - Deep Learning/030. Printing the Model's Summary.mp4 12.4 MB
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  • Part 3/04. Lesson 10 - Object-Oriented Programming/035. Intro to Data Science - Time Series and Simple Linear Regression--Components of the Simple L.mp4 12.3 MB
  • Part 3/05. [New in 2024] What's New in Python/012. Self-Documenting f-strings.mp4 12.3 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/016. NoSQL and NewSQL Big-Data Databases - A Brief Tour.mp4 12.3 MB
  • Part 5/03. Lesson 15 - Deep Learning/054. Tuning Deep Learning Models.mp4 12.3 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/032. Implementing the Reducer.mp4 12.3 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/003. Creating a Dictionary.mp4 12.3 MB
  • Part 1/07. Lesson 04 - Functions/013. Arbitrary Argument Lists.mp4 12.2 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/037. Intro to Data Science - pandas Series and DataFrames--Descriptive Statistics.mp4 12.2 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/017. Searching for Substrings.mp4 12.2 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/027. Training the Model.mp4 12.1 MB
  • Part 5/03. Lesson 15 - Deep Learning/026. Adding Another Convolutional Layer and Pooling Layer.mp4 12.1 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/028. A Brief Intro to Python 3.7's New Data Classes--Using the Card Data Class.mp4 12.0 MB
  • Part 1/07. Lesson 04 - Functions/017. import - A Deeper Look.mp4 11.9 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/026. Intro to Data Science - pandas Series and DataFrames.mp4 11.8 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/022. Case Study - A MongoDB JSON Document Database.mp4 11.8 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/008. Loading the Dataset - Checking the Sample and Target Sizes.mp4 11.8 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/002. Introduction.mp4 11.8 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/012. Watson Developer Cloud Python SDK.mp4 11.7 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/003. Self Check.mp4 11.7 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/049. 14.7 Case Study - Unsupervised Machine Learning, Part 2--k-M.mp4 11.6 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/021. Self Check.mp4 11.6 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/050. Loading the Iris Dataset.mp4 11.6 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/028. re Module and Function fullmatch Part 3--Custom Character Classes.mp4 11.5 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/016. Deleting Stop Word.mp4 11.5 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/010. Watson Services - Personality Insights.mp4 11.4 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/002. Introduction.mp4 11.4 MB
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  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/020. SimpleLanguageTranslator.py Script Walkthrough - Importing Watson SDK Classes from.mp4 11.3 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/040. Intro to Data Science - Pandas, Regular Expressions and Data Munging Part 3 - Data Validation.mp4 11.3 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/012. Serialization with JSON--Displaying JSON Text.mp4 11.2 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/024. Case Study - Time Series and Simple Linear Regression.mp4 11.2 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/040. Regression Model Metrics.mp4 11.2 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/022. Stack Unwinding and Tracebacks.mp4 11.1 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/025. Intro to Data Science - Working with CSV Files--Reading CSV Files into Pandas DataFrames.mp4 11.1 MB
  • Part 5/03. Lesson 15 - Deep Learning/036. Locating the Incorrect Predictions.mp4 11.0 MB
  • Part 5/03. Lesson 15 - Deep Learning/024. Overfitting.mp4 10.9 MB
  • Part 1/06. Lesson 03 - Control Statements/018. Self Check.mp4 10.9 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/007. Creating a primitive bar chart.mp4 10.8 MB
  • Part 4/04. Lesson 13 - IBM Watson(r) and Cognitive Computing/003. IBM Cloud Account and Cloud Console.mp4 10.8 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/004. Formatting Strings--Field Widths and Alignment.mp4 10.8 MB
  • Part 5/03. Lesson 15 - Deep Learning/003. Deep Learning Applications.mp4 10.7 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/016. Dictionary Comprehensions.mp4 10.7 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/044. Creating a TSNE Estimator for Dimensionality Reduction.mp4 10.6 MB
  • Part 5/03. Lesson 15 - Deep Learning/010. Convolutional Neural Networks for Vision Multi-Classification with the MNIST Dataset.mp4 10.6 MB
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  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/007. Relational Databases and Structured Query Language (SQL).mp4 10.6 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/005. Introduction--Experience Cloud and Desktop Big-Data Software.mp4 10.6 MB
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  • Part 5/03. Lesson 15 - Deep Learning/012. Basic Keras Neural Network.mp4 10.4 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/036. Intro to Data Science - pandas Series and DataFrames--Accessing a Specific DataFra.mp4 10.4 MB
  • Part 2/04. Lesson 07 - Array-Oriented Programming with NumPy/014. Self Check.mp4 10.4 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/002. Formatting Strings--Presentation Types.mp4 10.4 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/010. Loading the Dataset - Preparing the Data for Use with Scikit.mp4 10.4 MB
  • Part 2/03. Lesson 06 - Dictionaries and Sets/015. Dictionary Method update.mp4 10.4 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/014. Word Frequencies.mp4 10.4 MB
  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/002. Introduction--Databases.mp4 10.3 MB
  • Part 5/02. Lesson 14 - Machine Learning - Classification, Regression and Clustering/025. Loading the Average High Temperatures into a DataFrame.mp4 10.3 MB
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  • Part 1/05. Lesson 02 - Intro to Python Programming/005. Self Check.mp4 10.3 MB
  • Part 1/06. Lesson 03 - Control Statements/003. Self Check.mp4 10.2 MB
  • Part 3/04. Lesson 10 - Object-Oriented Programming/037. Intro to Data Science - Time Series and Simple Linear Regression--Cleaning the Data.mp4 10.1 MB
  • Part 3/02. Lesson 08 - Strings - A Deeper Look/037. Other Search Functions Accessing Matches Capturing Substrings in a Match.mp4 10.1 MB
  • Part 2/02. Lesson 05 - Sequences - Lists and Tuples/020. Self Check.mp4 10.1 MB
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  • Part 5/05. Recursion, Searching, Sorting and Big O/028. Big O Summary.mp4 10.0 MB
  • Part 5/03. Lesson 15 - Deep Learning/031. Visualizing a Model s Structure.mp4 10.0 MB
  • Part 4/02. Lesson 11 - Natural Language Processing/011. Inflection - Pluralization and Singularization.mp4 9.9 MB
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  • Part 1/04. [Updated in 2025] Lesson 01 - Test-Driving IPython and Jupyter Notebooks/009. Writing and Executing Code in a Jupyter Notebook Closing Ju.mp4 9.8 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/014. Determining Whom an Account Follows.mp4 9.8 MB
  • Part 3/03. Lesson 09 - Files and Exceptions/010. Serialization with JSON--Serializing an Object to JSON.mp4 9.7 MB
  • Part 4/03. Lesson 12 - Data Mining Twitter/015. Getting a User's Recent Tweets.mp4 9.7 MB
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  • Part 1/05. Lesson 02 - Intro to Python Programming/003. Self Check.mp4 9.6 MB
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  • Part 3/05. [New in 2024] What's New in Python/006. statistics Function mode Update and Function multimode.mp4 9.3 MB
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  • Part 1/03. [Updated in 2025] Before You Begin/008. Getting your questions answered.mp4 8.9 MB
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  • Part 5/04. Lesson 16 - Big Data - Hadoop, Spark, NoSQL and IoT/027. Summarizing Word Lengths in Romeo and Juliet via MapReduce.mp4 8.7 MB
  • Part 5/03. Lesson 15 - Deep Learning/017. Normalizing the Image Data.mp4 8.6 MB
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