Python Fundamentals |
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/Code examples/examples/ch16/TwitterMongoDB/files/art/ |
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Part 1/ |
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Code examples/ |
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/.../Before You Begin/ |
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/.../Lesson 01 Test-Drives Using IPython and Jupyter Notebooks/ |
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001. Lesson 01 Overview Test-Drives Using IPython and Jupyter Notebooks en.srt |
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001. Lesson 01 Overview Test-Drives Using IPython and Jupyter Notebooks.mp4 |
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003. Executing a Python Program Using the IPython Interpreter en.srt |
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003. Executing a Python Program Using the IPython Interpreter.mp4 |
21.0 MB |
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004. Writing and Executing Code in a Jupyter Notebook en.srt |
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/.../Lesson 02 Intro to Python Programming/ |
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006. Function print and an Intro to Single- and Double-Quoted Strings en.srt |
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006. Function print and an Intro to Single- and Double-Quoted Strings.mp4 |
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012. Decision Making The if Statement and Comparison Operators en.srt |
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016. Intro to Data Science Basic Descriptive Statistics en.srt |
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/.../Lesson 03 Control Statements/ |
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008. for Statement; Iterables, Lists and Iterators; Built-in range Function en.srt |
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008. for Statement; Iterables, Lists and Iterators; Built-in range Function.mp4 |
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022. Intro to Data Science Measures of Central Tendency--Mean, Median and Mode en.srt |
17.0 KB |
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022. Intro to Data Science Measures of Central Tendency--Mean, Median and Mode.mp4 |
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/.../Lesson 04 Functions/ |
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Part 2/ |
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/.../Lesson 05 Sequences Lists and Tuples/ |
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009. Sequence Slicing Part 1 Getting a Subset of a Sequence en.srt |
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009. Sequence Slicing Part 1 Getting a Subset of a Sequence.mp4 |
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032. Intro to Data Science Simulation and Static Visualizations en.srt |
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032. Intro to Data Science Simulation and Static Visualizations.mp4 |
7.0 MB |
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033. Sample Graphs for 600, 60,000 and 6,000,000 Die Rolls en.srt |
9.4 KB |
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033. Sample Graphs for 600, 60,000 and 6,000,000 Die Rolls.mp4 |
12.9 MB |
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034. Visualizing Die-Roll Frequencies and Percentages--Part 1 en.srt |
15.8 KB |
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034. Visualizing Die-Roll Frequencies and Percentages--Part 1.mp4 |
31.0 MB |
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035. Visualizing Die-Roll Frequencies and Percentages--Part 2 en.srt |
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035. Visualizing Die-Roll Frequencies and Percentages--Part 2.mp4 |
39.6 MB |
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036. Visualizing Die-Roll Frequencies and Percentages--Part 3 en.srt |
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036. Visualizing Die-Roll Frequencies and Percentages--Part 3.mp4 |
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037. Visualizing Die-Roll Frequencies and Percentages--Part 4 en.srt |
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037. Visualizing Die-Roll Frequencies and Percentages--Part 4.mp4 |
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/.../Lesson 06 Dictionaries and Sets/ |
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027. Intro to Data Science Dynamic Visualizations--Implementing Dynamic Visualization, Part 1 en.srt |
27.5 KB |
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027. Intro to Data Science Dynamic Visualizations--Implementing Dynamic Visualization, Part 1.mp4 |
78.7 MB |
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/.../Lesson 07 Array-Oriented Programming with Numpy/ |
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001. Lesson 07 Overview Array-Oriented Programming with Numpy; Intro to Pandas en.srt |
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001. Lesson 07 Overview Array-Oriented Programming with Numpy; Intro to Pandas.mp4 |
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023. Reshaping and Transposing Transposing Rows and Columns en.srt |
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023. Reshaping and Transposing Transposing Rows and Columns.mp4 |
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024. Reshaping and Transposing Horizontal and Vertical Stacking en.srt |
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024. Reshaping and Transposing Horizontal and Vertical Stacking.mp4 |
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026. Intro to Data Science pandas Series and DataFrames en.srt |
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11.8 MB |
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027. Intro to Data Science pandas Series and DataFrames--pandas Series Part 1 en.srt |
11.3 KB |
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027. Intro to Data Science pandas Series and DataFrames--pandas Series Part 1.mp4 |
19.1 MB |
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028. Intro to Data Science pandas Series and DataFrames--pandas Series Part 2 en.srt |
12.6 KB |
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028. Intro to Data Science pandas Series and DataFrames--pandas Series Part 2.mp4 |
15.8 MB |
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031. Intro to Data Science pandas Series and DataFrames--Accessing a DataFrame's Columns en.srt |
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031. Intro to Data Science pandas Series and DataFrames--Accessing a DataFrame's Columns.mp4 |
5.0 MB |
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035. Intro to Data Science pandas Series and DataFrames--Boolean Indexing en.srt |
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035. Intro to Data Science pandas Series and DataFrames--Boolean Indexing.mp4 |
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037. Intro to Data Science pandas Series and DataFrames--Descriptive Statistics en.srt |
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037. Intro to Data Science pandas Series and DataFrames--Descriptive Statistics.mp4 |
12.2 MB |
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039. Intro to Data Science pandas Series and DataFrames--Sorting by Indices en.srt |
4.4 KB |
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039. Intro to Data Science pandas Series and DataFrames--Sorting by Indices.mp4 |
5.7 MB |
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040. Intro to Data Science pandas Series and DataFrames--Sorting by Column Values en.srt |
11.4 KB |
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040. Intro to Data Science pandas Series and DataFrames--Sorting by Column Values.mp4 |
17.2 MB |
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Part 3/ |
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19.4 KB |
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94.4 MB |
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/.../Lesson 08 Strings--A Deeper Look/ |
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001. Lesson 08 Overview Strings--A Deeper Look; Pandas, Regular Expressions and Data Munging en.srt |
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001. Lesson 08 Overview Strings--A Deeper Look; Pandas, Regular Expressions and Data Munging.mp4 |
21.5 MB |
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026. re Module and Function fullmatch Part 1--Matching Literal Characters en.srt |
3.7 KB |
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026. re Module and Function fullmatch Part 1--Matching Literal Characters.mp4 |
5.2 MB |
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6.4 KB |
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027. re Module and Function fullmatch Part 2--Metacharacters, Character Classes and Quantifiers.mp4 |
12.7 MB |
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028. re Module and Function fullmatch Part 3--Custom Character Classes en.srt |
5.5 KB |
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028. re Module and Function fullmatch Part 3--Custom Character Classes.mp4 |
11.5 MB |
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029. re Module and Function fullmatch Part 1--Quantifiers en.srt |
7.2 KB |
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029. re Module and Function fullmatch Part 1--Quantifiers.mp4 |
12.5 MB |
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037. Other Search Functions; Accessing Matches--Capturing Substrings in a Match en.srt |
6.4 KB |
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037. Other Search Functions; Accessing Matches--Capturing Substrings in a Match.mp4 |
10.1 MB |
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039. Intro to Data Science Pandas, Regular Expressions and Data Munging Part 1 Introduction en.srt |
7.0 KB |
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039. Intro to Data Science Pandas, Regular Expressions and Data Munging Part 1 Introduction.mp4 |
14.0 MB |
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040. Intro to Data Science Pandas, Regular Expressions and Data Munging Part 3 Data Validation.mp4 |
11.3 MB |
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/.../Lesson 09 Files and Exceptions/ |
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001. Lesson 09 Overview Files and Exceptions; Pandas, CSV Files and Simple Data Analysis en.srt |
6.4 KB |
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001. Lesson 09 Overview Files and Exceptions; Pandas, CSV Files and Simple Data Analysis.mp4 |
32.8 MB |
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1.9 KB |
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2.6 MB |
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003. Text-File Processing--Writing to a Text File Introducing the with Statement en.srt |
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003. Text-File Processing--Writing to a Text File Introducing the with Statement.mp4 |
14.4 MB |
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005. Text-File Processing--Reading Data from a Text File en.srt |
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023. Intro to Data Science Working with CSV Files--Python Standard Library Module csv en.srt |
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023. Intro to Data Science Working with CSV Files--Python Standard Library Module csv.mp4 |
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025. Intro to Data Science Working with CSV Files--Reading CSV Files into Pandas DataFrames en.srt |
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026. Intro to Data Science Working with CSV Files--Reading the Titanic Disaster Dataset en.srt |
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028. Intro to Data Science Working with CSV Files--Passenger Age Histogram en.srt |
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/.../Lesson 10 Object-Oriented Programming/ |
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002. Custom Class Account--Test-Driving Class Account en.srt |
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006. Properties for Data Access--Test-Driving Class Time en.srt |
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007. Properties for Data Access--Class Time Definition en.srt |
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009. Properties for Data Access--Class Time Definition Notes en.srt |
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011. Case Study Card Shuffling and Dealing Simulation--Test Driving Classes Card and DeckOfCards.mp4 |
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013. Case Study Card Shuffling and Dealing Simulation--Class DeckOfCards en.srt |
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014. Case Study Card Shuffling and Dealing Simulation--Displaying Card Images with Matplotlib en.srt |
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027. A Brief Intro to Python 3.7's New Data Classes--Creating a Card Data Class en.srt |
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028. A Brief Intro to Python 3.7's New Data Classes--Using the Card Data Class en.srt |
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034. Intro to Data Science Time Series and Simple Linear Regression--Introduction en.srt |
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037. Intro to Data Science Time Series and Simple Linear Regression--Cleaning the Data en.srt |
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Part 4/ |
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/.../Lesson 11 Natural Language Processing/ |
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001. Lesson 11 Overview Natural Language Processing (NLP) en.srt |
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001. Lesson 11 Overview Natural Language Processing (NLP).mp4 |
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008. Sentiment Analysis with TextBlob's Default Sentiment Analyzer en.srt |
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015. Getting Definitions, Synonyms and Antonyms from WordNet en.srt |
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/.../Lesson 12 Data Mining Twitter/ |
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011. Introduction to Tweepy Cursors Getting an Account's Followers and Friends en.srt |
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033. Utility Functions in tweetutilities.py and Class LocationListener en.srt |
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033. Utility Functions in tweetutilities.py and Class LocationListener.mp4 |
46.8 MB |
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/.../Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/ |
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015. Before You run the App Registering for the Speech to Text Service en.srt |
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016. Before You run the App Registering for the Text to Speech Service en.srt |
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016. Before You run the App Registering for the Text to Speech Service.mp4 |
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017. Before You run the App Registering for the Language Translator Service en.srt |
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021. SimpleLanguageTranslator.py Script Walkthrough Other Imported Modules en.srt |
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022. SimpleLanguageTranslator.py Script Walkthrough Main Program Function run translator en.srt |
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022. SimpleLanguageTranslator.py Script Walkthrough Main Program Function run translator.mp4 |
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023. SimpleLanguageTranslator.py Script Walkthrough Function speech to text en.srt |
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023. SimpleLanguageTranslator.py Script Walkthrough Function speech to text.mp4 |
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024. SimpleLanguageTranslator.py Script Walkthrough Function translate en.srt |
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024. SimpleLanguageTranslator.py Script Walkthrough Function translate.mp4 |
20.4 MB |
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025. SimpleLanguageTranslator.py Script Walkthrough Function text to speech en.srt |
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025. SimpleLanguageTranslator.py Script Walkthrough Function text to speech.mp4 |
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026. SimpleLanguageTranslator.py Script Walkthrough Function record audio en.srt |
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026. SimpleLanguageTranslator.py Script Walkthrough Function record audio.mp4 |
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027. SimpleLanguageTranslator.py Script Walkthrough Function play audio en.srt |
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027. SimpleLanguageTranslator.py Script Walkthrough Function play audio.mp4 |
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/.../Lesson 14, Machine Learning Classification, Regression and Clustering/ |
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001. Lesson 14 Overview Machine Learning Classification, Regression and Clustering en.srt |
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001. Lesson 14 Overview Machine Learning Classification, Regression and Clustering.mp4 |
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003. Case Study Classification with k-Nearest Neighbors and the Digits Dataset, Part 1 en.srt |
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003. Case Study Classification with k-Nearest Neighbors and the Digits Dataset, Part 1.mp4 |
25.6 MB |
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005. k-Nearest Neighbors Algorithm Hyperparameters and Hyperparameter Tuning en.srt |
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005. k-Nearest Neighbors Algorithm Hyperparameters and Hyperparameter Tuning.mp4 |
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008. Loading the Dataset Checking the Sample and Target Sizes en.srt |
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008. Loading the Dataset Checking the Sample and Target Sizes.mp4 |
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010. Loading the Dataset Preparing the Data for Use with Scikit-Learn en.srt |
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016. Case Study Classification with k-Nearest Neighbors and the Digits Dataset, Part 2 en.srt |
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016. Case Study Classification with k-Nearest Neighbors and the Digits Dataset, Part 2.mp4 |
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017. Metrics for Model Accuracy Estimator Method score en.srt |
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019. Metrics for Model Accuracy Classification Report en.srt |
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020. Metrics for Model Accuracy Visualizing the Confusion Matrix en.srt |
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020. Metrics for Model Accuracy Visualizing the Confusion Matrix.mp4 |
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024. Case Study Time Series and Simple Linear Regression en.srt |
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11.2 MB |
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025. Loading the Average High Temperatures into a DataFrame en.srt |
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029. Predicting Future Temperatures and Estimating Past Temperatures en.srt |
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030. Visualizing the Dataset with the Regression Line en.srt |
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032. Case Study Multiple Linear Regression with the California Housing Dataset en.srt |
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032. Case Study Multiple Linear Regression with the California Housing Dataset.mp4 |
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042. Case Study Unsupervised Machine Learning, Part 1--Dimensionality Reduction en.srt |
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042. Case Study Unsupervised Machine Learning, Part 1--Dimensionality Reduction.mp4 |
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044. Creating a TSNE Estimator for Dimensionality Reduction en.srt |
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045. Transforming the Digits Dataset's Features into Two Dimensions en.srt |
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045. Transforming the Digits Dataset's Features into Two Dimensions.mp4 |
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047. Visualizing the Reduced Data with Different Colors for Each Digit en.srt |
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047. Visualizing the Reduced Data with Different Colors for Each Digit.mp4 |
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049. Case Study Unsupervised Machine Learning, Part 2--k-Means Clustering en.srt |
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051. Exploring the Iris Dataset Descriptive Statistics with Pandas en.srt |
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051. Exploring the Iris Dataset Descriptive Statistics with Pandas.mp4 |
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054. Dimensionality Reduction with Principal Component Analysis en.srt |
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054. Dimensionality Reduction with Principal Component Analysis.mp4 |
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/.../Lesson 15 Deep Learning/ |
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010. Convolutional Neural Networks for Vision; Multi-Classification with the MNIST Dataset en.srt |
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018. One-Hot Encoding Converting the Labels From Integers to Categorical Data en.srt |
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018. One-Hot Encoding Converting the Labels From Integers to Categorical Data.mp4 |
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023. Dimensionality of the First Convolution Layer’s Output en.srt |
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026. Adding Another Convolutional Layer and Pooling Layer en.srt |
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026. Adding Another Convolutional Layer and Pooling Layer.mp4 |
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027. Flattening the Results to One Dimension with a Keras Flatten Layer en.srt |
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027. Flattening the Results to One Dimension with a Keras Flatten Layer.mp4 |
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028. Adding a Dense Layer to Reduce the Number of Features en.srt |
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028. Adding a Dense Layer to Reduce the Number of Features.mp4 |
8.1 MB |
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029. Adding Another Dense Layer to Produce the Final Output en.srt |
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029. Adding Another Dense Layer to Produce the Final Output.mp4 |
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038. Displaying the Probabilities for Several Incorrect Predictions en.srt |
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038. Displaying the Probabilities for Several Incorrect Predictions.mp4 |
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040. Visualizing Neural Network Training with TensorBoard en.srt |
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040. Visualizing Neural Network Training with TensorBoard.mp4 |
72.5 MB |
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041. ConvnetJS Browser-Based Deep-Learning Training and Visualization en.srt |
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041. ConvnetJS Browser-Based Deep-Learning Training and Visualization.mp4 |
20.4 MB |
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042. Recurrent Neural Networks for Sequences; Sentiment Analysis with the IMDb Dataset en.srt |
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042. Recurrent Neural Networks for Sequences; Sentiment Analysis with the IMDb Dataset.mp4 |
19.0 MB |
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/.../Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/ |
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001. Lesson 16 Overview Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT en.srt |
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001. Lesson 16 Overview Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT.mp4 |
86.7 MB |
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10.3 MB |
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005. Introduction--Experience Cloud and Desktop Big-Data Software en.srt |
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005. Introduction--Experience Cloud and Desktop Big-Data Software.mp4 |
10.6 MB |
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007. Relational Databases and Structured Query Language (SQL) en.srt |
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007. Relational Databases and Structured Query Language (SQL).mp4 |
10.6 MB |
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016. NoSQL and NewSQL Big-Data Databases A Brief Tour en.srt |
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027. Summarizing Word Lengths in Romeo and Juliet via MapReduce en.srt |
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027. Summarizing Word Lengths in Romeo and Juliet via MapReduce.mp4 |
8.7 MB |
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028. Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight Part 1 en.srt |
5.9 KB |
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028. Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight Part 1.mp4 |
12.7 MB |
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029. Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight Part 2 en.srt |
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029. Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight Part 2.mp4 |
41.8 MB |
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039. Spark Streaming Counting Twitter Hashtags Using the pysparknotebook Docker Stack en.srt |
8.5 KB |
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039. Spark Streaming Counting Twitter Hashtags Using the pysparknotebook Docker Stack.mp4 |
21.1 MB |
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17.6 KB |
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39.2 MB |
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041. Summarizing Tweet Hashtags; Introducing Spark SQL en.srt |
32.7 KB |
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72.7 MB |
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1.8 KB |
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4.0 MB |
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044. Visualizing a PubNub Sample Live Stream with a Freeboard Dashboard en.srt |
16.7 KB |
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044. Visualizing a PubNub Sample Live Stream with a Freeboard Dashboard.mp4 |
32.8 MB |
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22.6 KB |
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46.5 MB |
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50.4 MB |
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Total files 2171 |
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