Torrent Info
Title Pluralsight Path - Python for Data Analysts
Category XXX
Size 3.00GB
Files List
Please note that this page does not hosts or makes available any of the listed filenames. You cannot download any of those files from here.
[TGx]Downloaded from torrentgalaxy.to .txt 585B
0 5B
01. A Primer on HTML and CSS.mp4 4.84MB
01. A Primer on HTML and CSS.vtt 6.07KB
01. Module Overview.mp4 2.65MB
01. Module Overview.mp4 2.21MB
01. Module Overview.mp4 2.18MB
01. Module Overview.mp4 2.13MB
01. Module Overview.mp4 2.08MB
01. Module Overview.mp4 2.07MB
01. Module Overview.mp4 2.04MB
01. Module Overview.mp4 1.99MB
01. Module Overview.mp4 1.79MB
01. Module Overview.vtt 1.96KB
01. Module Overview.vtt 2.14KB
01. Module Overview.vtt 2.69KB
01. Module Overview.vtt 1.91KB
01. Module Overview.vtt 2.01KB
01. Module Overview.vtt 2.36KB
01. Module Overview.vtt 2.23KB
01. Module Overview.vtt 2.10KB
01. Module Overview.vtt 2.00KB
01. Overview.mp4 923.28KB
01. Overview.mp4 2.08MB
01. Overview.vtt 2.30KB
01. Overview.vtt 799B
01. Querying with SQLAlchemy.mp4 1.60MB
01. Querying with SQLAlchemy.vtt 1.98KB
01. Version Check.mp4 569.97KB
01. Version Check.vtt 7B
02. Construct a Basic Pie Chart.mp4 11.85MB
02. Construct a Basic Pie Chart.vtt 8.83KB
02. Demo - Defining and Invoking Custom Functions.mp4 12.81MB
02. Demo - Defining and Invoking Custom Functions.vtt 11.71KB
02. Exploring Popular IDEs for Python.mp4 3.73MB
02. Exploring Popular IDEs for Python.vtt 4.74KB
02. Introducing Big ML.mp4 3.89MB
02. Introducing Big ML.vtt 4.11KB
02. Introducing Google Colab.mp4 2.80MB
02. Introducing Google Colab.vtt 2.80KB
02. Introducing Jupyter Notebooks.mp4 5.12MB
02. Introducing Jupyter Notebooks.vtt 5.74KB
02. Module Overview.mp4 1.82MB
02. Module Overview.vtt 1.86KB
02. Picking a Database.mp4 5.44MB
02. Picking a Database.vtt 4.05KB
02. Plotting Histograms.mp4 7.08MB
02. Plotting Histograms.vtt 5.76KB
02. Prerequisites and Course Outline.mp4 1.98MB
02. Prerequisites and Course Outline.mp4 1.81MB
02. Prerequisites and Course Outline.mp4 1.65MB
02. Prerequisites and Course Outline.vtt 2.26KB
02. Prerequisites and Course Outline.vtt 1.91KB
02. Prerequisites and Course Outline.vtt 2.56KB
02. Transactional and Analytical Processing.mp4 8.03MB
02. Transactional and Analytical Processing.vtt 7.21KB
02. Understanding the HTML, CSS and Structure of Our Target Page.mp4 12.68MB
02. Understanding the HTML, CSS and Structure of Our Target Page.vtt 6.23KB
03. Coming up with a Strategy for a More Complicated Web Page.mp4 8.09MB
03. Coming up with a Strategy for a More Complicated Web Page.vtt 3.53KB
03. Connecting to Databases - Connectors and the Connection String.mp4 5.92MB
03. Connecting to Databases - Connectors and the Connection String.vtt 5.10KB
03. Demo - Getting Started with Big ML.mp4 3.39MB
03. Demo - Getting Started with Big ML.vtt 2.35KB
03. Demo - If Statements for Conditional Branching.mp4 7.95MB
03. Demo - If Statements for Conditional Branching.vtt 6.64KB
03. Demo - Installing and Setting up IDLE.mp4 11.24MB
03. Demo - Installing and Setting up IDLE.vtt 7.31KB
03. Demo - Introducing the Google Colab Interface.mp4 8.62MB
03. Demo - Introducing the Google Colab Interface.vtt 5.50KB
03. Demo - Passing Input Arguments to Functions.mp4 5.47MB
03. Demo - Passing Input Arguments to Functions.vtt 4.46KB
03. Demo - Windows Installing Anaconda and Running Jupyter Notebooks.mp4 6.71MB
03. Demo - Windows Installing Anaconda and Running Jupyter Notebooks.vtt 4.82KB
03. Donut and Half Pie Charts.mp4 8.88MB
03. Donut and Half Pie Charts.vtt 7.40KB
03. Introducing Jupyter Notebooks.mp4 8.89MB
03. Introducing Jupyter Notebooks.vtt 10.10KB
03. Prerequisites and Course Outline.mp4 1.69MB
03. Prerequisites and Course Outline.vtt 2.14KB
03. Pyramid Charts.mp4 8.36MB
03. Pyramid Charts.vtt 6.75KB
03. Python for Data Analysts.mp4 4.50MB
03. Python for Data Analysts.vtt 4.80KB
03. Python for Data Analytics.mp4 8.63MB
03. Python for Data Analytics.vtt 8.64KB
04. Chart, Serie, and Value Configurations.mp4 11.23MB
04. Chart, Serie, and Value Configurations.vtt 8.49KB
04. Demo - Colab Notebooks—Similar yet Different.mp4 4.46MB
04. Demo - Colab Notebooks—Similar yet Different.vtt 3.64KB
04. Demo - Configuring Data Sources and Creating Datasets.mp4 21.36MB
04. Demo - Configuring Data Sources and Creating Datasets.vtt 11.80KB
04. Demo - If Else Statements.mp4 12.00MB
04. Demo - If Else Statements.vtt 9.65KB
04. Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.mp4 13.24MB
04. Demo - Mac OS Installing Anaconda and Running Jupyter Notebooks.vtt 5.56KB
04. Demo - Returning Values from Functions.mp4 9.76MB
04. Demo - Returning Values from Functions.vtt 7.60KB
04. Demo - Running and Debugging Code with IDLE.mp4 15.68MB
04. Demo - Running and Debugging Code with IDLE.vtt 10.16KB
04. Demo - Windows - Installing Anaconda and Jupyter Notebooks.mp4 11.95MB
04. Demo - Windows - Installing Anaconda and Jupyter Notebooks.vtt 8.38KB
04. Essential Analytical Building Blocks.mp4 7.42MB
04. Essential Analytical Building Blocks.vtt 7.62KB
04. Python Development Environments.mp4 7.03MB
04. Python Development Environments.vtt 7.61KB
04. Python for Data Analysts.mp4 9.43MB
04. Python for Data Analysts.vtt 9.64KB
04. Querying with SQL.mp4 2.17MB
04. Querying with SQL.vtt 1.54KB
04. Using BeautifulSoup4 to Navigate Our Scraped Data.mp4 15.59MB
04. Using BeautifulSoup4 to Navigate Our Scraped Data.vtt 5.26KB
04. Visualizing Distributions with Box Plots.mp4 11.41MB
04. Visualizing Distributions with Box Plots.vtt 8.26KB
05. Constructing a Map Visualization.mp4 12.78MB
05. Constructing a Map Visualization.vtt 9.80KB
05. Defining Styles and Configs.mp4 10.69MB
05. Defining Styles and Configs.vtt 9.35KB
05. Demo - Data Preparation and Visualization.mp4 15.17MB
05. Demo - Data Preparation and Visualization.vtt 9.80KB
05. Demo - Installing Anaconda Python on MacOS.mp4 9.09MB
05. Demo - Installing Anaconda Python on MacOS.vtt 7.50KB
05. Demo - Installing Eclipse and Setting up the PyDev Plugin.mp4 13.34MB
05. Demo - Installing Eclipse and Setting up the PyDev Plugin.vtt 7.06KB
05. Demo - Installing the Python 2 Kernel along with Python 3.mp4 8.53MB
05. Demo - Installing the Python 2 Kernel along with Python 3.vtt 4.95KB
05. Demo - Interactive Forms.mp4 9.61MB
05. Demo - Interactive Forms.vtt 9.08KB
05. Demo - Reassignment of Variables within Functions.mp4 13.05MB
05. Demo - Reassignment of Variables within Functions.vtt 8.77KB
05. Demo - Using if with Lists and Dictionary Elements.mp4 5.29MB
05. Demo - Using if with Lists and Dictionary Elements.vtt 3.89KB
05. Demo - Windows - Installing Jupyter Notebooks Using Pip.mp4 10.76MB
05. Demo - Windows - Installing Jupyter Notebooks Using Pip.vtt 6.74KB
05. Extracting Information from a Scraped Division.mp4 9.15MB
05. Extracting Information from a Scraped Division.vtt 4.24KB
05. Object-relational Mapper (ORM) and Classical Mapping.mp4 5.59MB
05. Object-relational Mapper (ORM) and Classical Mapping.vtt 5.24KB
05. Python Packages.mp4 6.37MB
05. Python Packages.vtt 6.11KB
05. Python Resources for Analysts.mp4 6.77MB
05. Python Resources for Analysts.vtt 7.90KB
06. Demo - Accessing Google Drive Contents from Colab.mp4 4.96MB
06. Demo - Accessing Google Drive Contents from Colab.vtt 3.48KB
06. Demo - Executing Code in Jupyter.mp4 6.60MB
06. Demo - Executing Code in Jupyter.vtt 5.90KB
06. Demo - Exploring Online Resources.mp4 24.22MB
06. Demo - Exploring Online Resources.vtt 9.49KB
06. Demo - If-elif for Multiple Conditional Checks.mp4 6.35MB
06. Demo - If-elif for Multiple Conditional Checks.vtt 4.56KB
06. Demo - Installing Anaconda Python on Windows.mp4 8.91MB
06. Demo - Installing Anaconda Python on Windows.vtt 6.21KB
06. Demo - MacOS - Installing Anaconda and Jupyter Notebooks.mp4 14.80MB
06. Demo - MacOS - Installing Anaconda and Jupyter Notebooks.vtt 8.25KB
06. Demo - Modification of Complex Types within Functions.mp4 6.78MB
06. Demo - Modification of Complex Types within Functions.vtt 4.67KB
06. Demo - Running and Debugging Code with Eclipse.mp4 18.37MB
06. Demo - Running and Debugging Code with Eclipse.vtt 9.60KB
06. Demo - Splitting into Training and Test Subsets.mp4 4.91MB
06. Demo - Splitting into Training and Test Subsets.vtt 2.63KB
06. Demo - Windows - Installing Python and Using Pip to Install Packages.mp4 8.27MB
06. Demo - Windows - Installing Python and Using Pip to Install Packages.vtt 6.10KB
06. Generating Radar Plots.mp4 13.12MB
06. Generating Radar Plots.vtt 9.75KB
06. Introducing Line and Datetimeline Charts.mp4 10.17MB
06. Introducing Line and Datetimeline Charts.vtt 7.72KB
06. The Declarative API.mp4 10.92MB
06. The Declarative API.vtt 9.21KB
06. Using Selectors as an Alternative to the Find Method.mp4 6.10MB
06. Using Selectors as an Alternative to the Find Method.vtt 3.60KB
07. Advice and Strategy for Scraping.mp4 2.01MB
07. Advice and Strategy for Scraping.vtt 2.67KB
07. Constructing a Funnel Visualization.mp4 7.92MB
07. Constructing a Funnel Visualization.vtt 5.84KB
07. Demo - Building Models.mp4 12.31MB
07. Demo - Building Models.vtt 7.89KB
07. Demo - Installing and Setting up PyCharm.mp4 11.39MB
07. Demo - Installing and Setting up PyCharm.vtt 6.60KB
07. Demo - Invoking Functions with Keyword Arguments.mp4 10.57MB
07. Demo - Invoking Functions with Keyword Arguments.vtt 8.29KB
07. Demo - Iterating over List Elements Using a For Loop.mp4 8.11MB
07. Demo - Iterating over List Elements Using a For Loop.vtt 7.11KB
07. Demo - MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Instal.mp4 13.64MB
07. Demo - MacOS - Installing Anaconda and Jupyter Notebooks Using the Command Line Instal.vtt 5.80KB
07. Demo - MacOS - Using Brew to Install Python 3.mp4 9.30MB
07. Demo - MacOS - Using Brew to Install Python 3.vtt 5.53KB
07. Demo - Restarting and Switching Kernels.mp4 9.62MB
07. Demo - Restarting and Switching Kernels.vtt 6.69KB
07. Demo - Simple Expressions.mp4 11.00MB
07. Demo - Simple Expressions.vtt 9.42KB
07. Demo - Widgets.mp4 10.59MB
07. Demo - Widgets.vtt 8.22KB
07. More Querying and Database Functions.mp4 11.98MB
07. More Querying and Database Functions.vtt 6.69KB
07. Plotting Real Data with Line and Dateline Charts.mp4 9.38MB
07. Plotting Real Data with Line and Dateline Charts.vtt 6.67KB
07. Workflows in Data Analytics.mp4 7.50MB
07. Workflows in Data Analytics.vtt 7.79KB
08. Building the Scraper Module Using PyCharm.mp4 14.68MB
08. Building the Scraper Module Using PyCharm.vtt 6.15KB
08. Creating Gauge Plots.mp4 10.19MB
08. Creating Gauge Plots.vtt 7.81KB
08. Demo - Assigning Default Values for Input Arguments.mp4 5.50MB
08. Demo - Assigning Default Values for Input Arguments.vtt 3.67KB
08. Demo - Building a Regression Model.mp4 11.70MB
08. Demo - Building a Regression Model.vtt 8.50KB
08. Demo - Cleaning Data.mp4 11.14MB
08. Demo - Cleaning Data.vtt 8.28KB
08. Demo - Evaluating Models.mp4 4.54MB
08. Demo - Evaluating Models.vtt 2.62KB
08. Demo - Exploring Magic Commands.mp4 9.75MB
08. Demo - Exploring Magic Commands.vtt 7.25KB
08. Demo - Logical Operations.mp4 8.47MB
08. Demo - Logical Operations.vtt 6.78KB
08. Demo - MacOS - Using Pip to Install Packages.mp4 7.68MB
08. Demo - MacOS - Using Pip to Install Packages.vtt 5.95KB
08. Demo - Running and Debugging Code with PyCharm.mp4 18.44MB
08. Demo - Running and Debugging Code with PyCharm.vtt 9.29KB
08. Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.mp4 9.73MB
08. Demo - Running Jupyter Notebooks and Jupyter Lab in Docker Containers.vtt 7.50KB
08. Demo - Using For Loops with the Range Function.mp4 5.24MB
08. Demo - Using For Loops with the Range Function.vtt 4.58KB
08. Introducing XY Plots.mp4 6.83MB
08. Introducing XY Plots.vtt 5.71KB
08. Using Joins.mp4 2.06MB
08. Using Joins.vtt 1.79KB
09. Dealing with Missing Data during the Scrape.mp4 9.31MB
09. Dealing with Missing Data during the Scrape.vtt 2.00KB
09. Demo - Batch and Individual Predictions.mp4 14.15MB
09. Demo - Batch and Individual Predictions.vtt 8.04KB
09. Demo - First Class Functions.mp4 12.12MB
09. Demo - First Class Functions.vtt 9.75KB
09. Demo - Installing and Working with Virtual Environments.mp4 7.27MB
09. Demo - Installing and Working with Virtual Environments.vtt 5.17KB
09. Demo - Integrating with Github.mp4 5.88MB
09. Demo - Integrating with Github.vtt 3.21KB
09. Demo - Iterating over Dictionary Elements Using a For Loop.mp4 3.94MB
09. Demo - Iterating over Dictionary Elements Using a For Loop.vtt 3.11KB
09. Demo - Line Magic and Cell Magic Commands.mp4 8.13MB
09. Demo - Line Magic and Cell Magic Commands.vtt 6.08KB
09. Demo - MacOS - Installing Jupyter Lab Using Pip.mp4 12.84MB
09. Demo - MacOS - Installing Jupyter Lab Using Pip.vtt 7.28KB
09. Demo - Summary Statistics and Basic Analysis.mp4 4.94MB
09. Demo - Summary Statistics and Basic Analysis.vtt 3.57KB
09. Demo - Variables.mp4 9.89MB
09. Demo - Variables.vtt 8.32KB
09. Demo - Working with Spyder.mp4 18.30MB
09. Demo - Working with Spyder.vtt 9.46KB
09. Exploring Real Data with XY Plots.mp4 12.79MB
09. Exploring Real Data with XY Plots.vtt 9.21KB
09. Solid Gauge Plots.mp4 7.01MB
09. Solid Gauge Plots.vtt 5.82KB
09. Working with Hierarchical Tables.mp4 3.39MB
09. Working with Hierarchical Tables.vtt 2.86KB
1 23B
1. Course and Module Introduction.mp4 2.73MB
1. Course and Module Introduction.vtt 2.68KB
1. Course Overview.mp4 4.55MB
1. Course Overview.mp4 4.36MB
1. Course Overview.mp4 4.30MB
1. Course Overview.mp4 4.22MB
1. Course Overview.mp4 4.16MB
1. Course Overview.mp4 3.97MB
1. Course Overview.mp4 3.88MB
1. Course Overview.mp4 3.69MB
1. Course Overview.mp4 3.47MB
1. Course Overview.mp4 3.31MB
1. Course Overview.mp4 3.14MB
1. Course Overview.vtt 2.84KB
1. Course Overview.vtt 2.64KB
1. Course Overview.vtt 2.93KB
1. Course Overview.vtt 3.17KB
1. Course Overview.vtt 2.28KB
1. Course Overview.vtt 2.99KB
1. Course Overview.vtt 2.81KB
1. Course Overview.vtt 2.63KB
1. Course Overview.vtt 2.43KB
1. Course Overview.vtt 2.42KB
1. Course Overview.vtt 2.31KB
1. Creating Databases with SQLAlchemy.mp4 1.46MB
1. Creating Databases with SQLAlchemy.vtt 1.70KB
1. Exporting Scraped Data to a CSV File.mp4 7.79MB
1. Exporting Scraped Data to a CSV File.vtt 3.29KB
1. Final Takeaway.mp4 3.04MB
1. Final Takeaway.mp4 2.85MB
1. Final Takeaway.vtt 3.22KB
1. Final Takeaway.vtt 3.02KB
1. General Strategies for Scraping Web Pages.mp4 3.42MB
1. General Strategies for Scraping Web Pages.vtt 3.78KB
1. Importing CSV Data into Python Using csv and pandas.mp4 1.54MB
1. Importing CSV Data into Python Using csv and pandas.vtt 1.21KB
1. Importing Data into Python from Common Binary Data File Formats.mp4 1.07MB
1. Importing Data into Python from Common Binary Data File Formats.vtt 1.21KB
1. Importing Data into Python from Excel Files.mp4 1.80MB
1. Importing Data into Python from Excel Files.vtt 2.08KB
1. Importing Data into Python from JSON and XML Files.mp4 2.62MB
1. Importing Data into Python from JSON and XML Files.vtt 1.91KB
1. Importing Data into Python from Relational Databases.mp4 1.77MB
1. Importing Data into Python from Relational Databases.vtt 1.45KB
1. Importing Text Data into Python Using NumPy.mp4 15.31MB
1. Importing Text Data into Python Using NumPy.vtt 8.04KB
1. Improving Your Productivity Programming in Python with an IDE.mp4 21.35MB
1. Improving Your Productivity Programming in Python with an IDE.vtt 13.87KB
1. Introduction.mp4 3.55MB
1. Introduction.mp4 2.67MB
1. Introduction.mp4 2.21MB
1. Introduction.mp4 1.56MB
1. Introduction.vtt 4.02KB
1. Introduction.vtt 3.21KB
1. Introduction.vtt 3.13KB
1. Introduction.vtt 1.99KB
1. Leveraging a Python IDE for Data Science.mp4 4.24MB
1. Leveraging a Python IDE for Data Science.vtt 4.20KB
1. Manipulating Databases with SQLAlchemy.mp4 1.20MB
1. Manipulating Databases with SQLAlchemy.vtt 1.54KB
1. Module Introduction.mp4 1.69MB
1. Module Introduction.mp4 1.59MB
1. Module Introduction.mp4 1.36MB
1. Module Introduction.mp4 1.16MB
1. Module Introduction.vtt 1.14KB
1. Module Introduction.vtt 1.73KB
1. Module Introduction.vtt 1.71KB
1. Module Introduction.vtt 1.22KB
1. Module Overview.mp4 3.17MB
1. Module Overview.mp4 2.41MB
1. Module Overview.mp4 2.15MB
1. Module Overview.mp4 2.08MB
1. Module Overview.mp4 2.03MB
1. Module Overview.mp4 1.91MB
1. Module Overview.vtt 2.69KB
1. Module Overview.vtt 2.06KB
1. Module Overview.vtt 1.92KB
1. Module Overview.vtt 2.19KB
1. Module Overview.vtt 2.17KB
1. Module Overview.vtt 3.51KB
1. Overview.mp4 2.18MB
1. Overview.mp4 1.24MB
1. Overview.vtt 1.98KB
1. Overview.vtt 1.32KB
1. Programming Python Using an IDE! But Why And Which One.mp4 18.67MB
1. Programming Python Using an IDE! But Why And Which One.vtt 8.15KB
1. Up and Running with SQLAlchemy.mp4 3.81MB
1. Up and Running with SQLAlchemy.vtt 4.10KB
10 651.15KB
10. Constructing a Dot Plot.mp4 12.80MB
10. Constructing a Dot Plot.vtt 9.98KB
10. Demo - Basic Types and Type Conversions.mp4 7.52MB
10. Demo - Basic Types and Type Conversions.vtt 6.72KB
10. Demo - Clustering.mp4 11.78MB
10. Demo - Clustering.vtt 7.92KB
10. Demo - Conditional Looping Using While Loops.mp4 14.14MB
10. Demo - Conditional Looping Using While Loops.vtt 12.33KB
10. Demo - Editing a Python Script Using Nano and Vim.mp4 5.40MB
10. Demo - Editing a Python Script Using Nano and Vim.vtt 5.19KB
10. Demo - Exploring Interactive Widgets.mp4 8.76MB
10. Demo - Exploring Interactive Widgets.vtt 5.89KB
10. Demo - Visualizing Relationships in Data.mp4 9.62MB
10. Demo - Visualizing Relationships in Data.vtt 6.26KB
10. Module Summary.mp4 2.03MB
10. Module Summary.mp4 1.99MB
10. Module Summary.mp4 1.99MB
10. Module Summary.vtt 2.30KB
10. Module Summary.vtt 2.27KB
10. Module Summary.vtt 2.25KB
10. Refactoring Our Code and Caching Our Scraped Data.mp4 9.81MB
10. Refactoring Our Code and Caching Our Scraped Data.vtt 2.46KB
10. Summary.mp4 1020.47KB
10. Summary.vtt 931B
10. Summary and Further Study.mp4 2.35MB
10. Summary and Further Study.vtt 2.56KB
10. Takeaway.mp4 1.92MB
10. Takeaway.vtt 2.14KB
100 60.70KB
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103 110.36KB
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11 663.92KB
11. Adding a Test to Verify Our Regular Expression Processing.mp4 14.02MB
11. Adding a Test to Verify Our Regular Expression Processing.vtt 8.22KB
11. Demo - Anomaly Detection.mp4 7.97MB
11. Demo - Anomaly Detection.vtt 4.22KB
11. Demo - Break.mp4 7.56MB
11. Demo - Break.vtt 6.61KB
11. Demo - Editing a Python Script Using SublimeText.mp4 6.71MB
11. Demo - Editing a Python Script Using SublimeText.vtt 4.52KB
11. Demo - Sharing Visualizations Online Using Plotly.mp4 12.55MB
11. Demo - Sharing Visualizations Online Using Plotly.vtt 6.81KB
11. Demo - Simple Strings and Multi-line Strings.mp4 6.51MB
11. Demo - Simple Strings and Multi-line Strings.vtt 5.66KB
11. Demo - Wrangling and Visualizing Data.mp4 10.37MB
11. Demo - Wrangling and Visualizing Data.vtt 7.53KB
11. Representing Negative Values in a Dot Plot.mp4 4.28MB
11. Representing Negative Values in a Dot Plot.vtt 3.60KB
110 397.12KB
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113 633.95KB
114 665.17KB
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12 357.34KB
12. Building a Treemap Visualization.mp4 11.25MB
12. Building a Treemap Visualization.vtt 9.49KB
12. Demo - Continue and Pass.mp4 7.29MB
12. Demo - Continue and Pass.vtt 6.28KB
12. Demo - Prototyping a Classifier.mp4 5.56MB
12. Demo - Prototyping a Classifier.vtt 4.42KB
12. Demo - Using Online Editors to Write Python Code.mp4 7.02MB
12. Demo - Using Online Editors to Write Python Code.vtt 5.68KB
12. Module Summary.mp4 2.20MB
12. Module Summary.mp4 2.01MB
12. Module Summary.mp4 1.80MB
12. Module Summary.vtt 2.26KB
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13. Demo - Writing a Python Script for a Classification Model.mp4 15.20MB
13. Demo - Writing a Python Script for a Classification Model.vtt 11.91KB
13. Module Summary.mp4 2.34MB
13. Module Summary.mp4 1.89MB
13. Module Summary.vtt 2.38KB
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13. Summary.mp4 730.05KB
13. Summary.vtt 628B
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14. Module Summary.mp4 1.80MB
14. Module Summary.vtt 1.82KB
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2 105B
2. Code Editors vs. Integrated Development Environments.mp4 3.36MB
2. Code Editors vs. Integrated Development Environments.vtt 3.76KB
2. Creating Databases.mp4 3.22MB
2. Creating Databases.vtt 3.19KB
2. Customizing IDEs.mp4 22.75MB
2. Customizing IDEs.vtt 10.23KB
2. Demo - Analyzing and Visualizing Data.mp4 14.82MB
2. Demo - Analyzing and Visualizing Data.vtt 10.97KB
2. Demo - Exploring the Notebook Interface.mp4 12.16MB
2. Demo - Exploring the Notebook Interface.vtt 10.45KB
2. Demo - Introducing Built-in Functions.mp4 11.45MB
2. Demo - Introducing Built-in Functions.vtt 10.23KB
2. Demo - Working with the Math Module.mp4 5.22MB
2. Demo - Working with the Math Module.vtt 4.57KB
2. Direct Filtering with Square Brackets.mp4 9.27MB
2. Direct Filtering with Square Brackets.vtt 3.43KB
2. Dropping Columns.mp4 11.10MB
2. Dropping Columns.vtt 3.42KB
2. Getting a Data Overview with Pandas.mp4 6.35MB
2. Getting a Data Overview with Pandas.vtt 4.17KB
2. Importing CSV Files Using the Python csv Module.mp4 17.37MB
2. Importing CSV Files Using the Python csv Module.vtt 8.64KB
2. Importing Data into Python from JSON Using the JSON Library.mp4 39.38MB
2. Importing Data into Python from JSON Using the JSON Library.vtt 13.86KB
2. Importing Excel Files Using pandas.mp4 22.44MB
2. Importing Excel Files Using pandas.vtt 13.68KB
2. Importing Flat Files and Numeric Data Using NumPy.mp4 17.00MB
2. Importing Flat Files and Numeric Data Using NumPy.vtt 10.45KB
2. Importing sqlite Database Files.mp4 8.64MB
2. Importing sqlite Database Files.vtt 6.60KB
2. Installing and Importing SQLAlchemy.mp4 5.83MB
2. Installing and Importing SQLAlchemy.vtt 4.65KB
2. Introducing Pygal.mp4 5.06MB
2. Introducing Pygal.vtt 5.41KB
2. Introduction to Data Reshaping.mp4 3.70MB
2. Introduction to Data Reshaping.vtt 3.89KB
2. Jupyter on the Cloud.mp4 5.61MB
2. Jupyter on the Cloud.vtt 5.94KB
2. Leveraging Data Science and Scientific Tools in PyCharm.mp4 5.38MB
2. Leveraging Data Science and Scientific Tools in PyCharm.vtt 4.17KB
2. Normalizing Data - What and Why.mp4 3.13MB
2. Normalizing Data - What and Why.vtt 2.76KB
2. One-hot Encoding.mp4 3.74MB
2. One-hot Encoding.vtt 3.90KB
2. Reading SAS Files with pandas.mp4 6.64MB
2. Reading SAS Files with pandas.vtt 4.64KB
2. Rendering Charts to Image Files.mp4 15.55MB
2. Rendering Charts to Image Files.vtt 9.13KB
2. Reviewing Our Target Auto-MPG Web Page.mp4 11.63MB
2. Reviewing Our Target Auto-MPG Web Page.vtt 6.63KB
2. Running Hosted Jupyter Notebooks on the Cloud.mp4 5.95MB
2. Running Hosted Jupyter Notebooks on the Cloud.vtt 6.51KB
2. Software and Course Prerequisites.mp4 2.03MB
2. Software and Course Prerequisites.vtt 1.76KB
2. Stripping White Space.mp4 6.06MB
2. Stripping White Space.vtt 2.41KB
2. The GroupBy Function.mp4 3.28MB
2. The GroupBy Function.vtt 3.46KB
2. Updating Data in a Database.mp4 6.60MB
2. Updating Data in a Database.vtt 6.66KB
2. Viewing and Converting Types.mp4 9.94MB
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3. Aggregating Data.mp4 8.80MB
3. Aggregating Data.vtt 3.99KB
3. Changing Column Casing.mp4 5.87MB
3. Changing Column Casing.vtt 2.86KB
3. Concatenating Datasets.mp4 11.55MB
3. Concatenating Datasets.vtt 8.14KB
3. Correlated Updates.mp4 1.73MB
3. Correlated Updates.vtt 1.65KB
3. Creating Tables.mp4 4.92MB
3. Creating Tables.vtt 3.48KB
3. Data Indexing with .loc.mp4 8.56MB
3. Data Indexing with .loc.vtt 3.51KB
3. Demo - Convert Categorical Values Using One-hot Encoding.mp4 6.14MB
3. Demo - Convert Categorical Values Using One-hot Encoding.vtt 4.03KB
3. Demo - Creating and Working with Notebook Instances on Amazon SageMaker.mp4 13.42MB
3. Demo - Creating and Working with Notebook Instances on Amazon SageMaker.vtt 8.48KB
3. Demo - Exploring Interactive Widgets.mp4 14.77MB
3. Demo - Exploring Interactive Widgets.vtt 11.60KB
3. Demo - Getting Started with Azure Notebooks.mp4 9.26MB
3. Demo - Getting Started with Azure Notebooks.vtt 6.34KB
3. Demo - Introducing NumPy.mp4 7.92MB
3. Demo - Introducing NumPy.vtt 6.58KB
3. Demo - Restarting the Kernel.mp4 8.91MB
3. Demo - Restarting the Kernel.vtt 6.44KB
3. Demo - String Functions, Return Values, and Nested Function Invocations.mp4 10.92MB
3. Demo - String Functions, Return Values, and Nested Function Invocations.vtt 9.83KB
3. Demo - Why and How to Use the GroupBy Function.mp4 8.62MB
3. Demo - Why and How to Use the GroupBy Function.vtt 5.40KB
3. Exploratory Data Analysis Strategy.mp4 8.29MB
3. Exploratory Data Analysis Strategy.vtt 6.32KB
3. Features That Improve Productivity Coding with an IDE.mp4 19.65MB
3. Features That Improve Productivity Coding with an IDE.vtt 10.80KB
3. Importing Data into Python from XML Using the ElementTree XML API.mp4 17.70MB
3. Importing Data into Python from XML Using the ElementTree XML API.vtt 7.19KB
3. Importing Text and CSV Files Using pandas.mp4 36.17MB
3. Importing Text and CSV Files Using pandas.vtt 23.66KB
3. Loading Data Using SQLAlchemy.mp4 6.59MB
3. Loading Data Using SQLAlchemy.vtt 6.00KB
3. Overview of Available Code Editors for Python.mp4 28.95MB
3. Overview of Available Code Editors for Python.vtt 17.36KB
3. Reading Stata Files with pandas.mp4 5.16MB
3. Reading Stata Files with pandas.vtt 2.68KB
3. Rendering Charts to Specialized Formats.mp4 15.77MB
3. Rendering Charts to Specialized Formats.vtt 5.63KB
3. Replacing Bad Data with NaN.mp4 13.03MB
3. Replacing Bad Data with NaN.vtt 5.77KB
3. Reshape Long Data to Wide Data with the Pivot Function.mp4 6.10MB
3. Reshape Long Data to Wide Data with the Pivot Function.vtt 3.31KB
3. Simple Feature Scaling.mp4 3.48MB
3. Simple Feature Scaling.vtt 2.08KB
3. Taking Advantage of pandas DataFrames When Querying sqlite.mp4 3.41MB
3. Taking Advantage of pandas DataFrames When Querying sqlite.vtt 2.28KB
3. The Complicated Difference between Dynamic and Static Web Pages.mp4 6.01MB
3. The Complicated Difference between Dynamic and Static Web Pages.vtt 4.64KB
3. Vector and Raster Images.mp4 7.75MB
3. Vector and Raster Images.vtt 6.58KB
3. Working with an IDE Built for Scientific Python - Spyder.mp4 4.86MB
3. Working with an IDE Built for Scientific Python - Spyder.vtt 2.55KB
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4 21B
4. Configuring Python Features for Specific Code Editors.mp4 29.73MB
4. Configuring Python Features for Specific Code Editors.vtt 18.00KB
4. Create Dummy Variables with Pandas.mp4 4.87MB
4. Create Dummy Variables with Pandas.vtt 4.23KB
4. Deleting Data from a Database.mp4 3.41MB
4. Deleting Data from a Database.vtt 3.46KB
4. Demo - Adding Interactivity to Custom Functions.mp4 14.20MB
4. Demo - Adding Interactivity to Custom Functions.vtt 10.54KB
4. Demo - Analyzing and Visualizing Data on Azure Notebooks.mp4 17.90MB
4. Demo - Analyzing and Visualizing Data on Azure Notebooks.vtt 7.12KB
4. Demo - Customizing Shortcuts.mp4 9.51MB
4. Demo - Customizing Shortcuts.vtt 4.97KB
4. Demo - Introducing Lists.mp4 8.94MB
4. Demo - Introducing Lists.vtt 7.78KB
4. Demo - Introducing Pandas.mp4 4.48MB
4. Demo - Introducing Pandas.vtt 3.65KB
4. Demo - Uploading Notebooks to SageMaker and Using the Terminal Window.mp4 8.63MB
4. Demo - Uploading Notebooks to SageMaker and Using the Terminal Window.vtt 3.43KB
4. Filling Missing Data with a Value.mp4 5.39MB
4. Filling Missing Data with a Value.vtt 2.00KB
4. Filter and Transform with GroupBy.mp4 5.47MB
4. Filter and Transform with GroupBy.vtt 3.57KB
4. Merging Datasets.mp4 6.99MB
4. Merging Datasets.vtt 6.00KB
4. Min-max Scaling.mp4 3.44MB
4. Min-max Scaling.vtt 2.35KB
4. Normalizing Data.mp4 8.05MB
4. Normalizing Data.vtt 3.99KB
4. Organizing, Navigating, Refactoring, and Styling Code.mp4 31.56MB
4. Organizing, Navigating, Refactoring, and Styling Code.vtt 13.31KB
4. Primary Keys, Constraints, and Data Defaults.mp4 9.35MB
4. Primary Keys, Constraints, and Data Defaults.vtt 7.69KB
4. PyQuery and Pygal.mp4 12.83MB
4. PyQuery and Pygal.vtt 6.74KB
4. Reading HDF5 Files.mp4 6.54MB
4. Reading HDF5 Files.vtt 3.97KB
4. Renaming Columns.mp4 10.31MB
4. Renaming Columns.vtt 4.12KB
4. Reshape Wide Data to Long Using the Melt Function.mp4 3.58MB
4. Reshape Wide Data to Long Using the Melt Function.vtt 2.61KB
4. Reviewing Our Hypothesis.mp4 6.35MB
4. Reviewing Our Hypothesis.vtt 5.60KB
4. The SVG Format.mp4 4.46MB
4. The SVG Format.vtt 5.50KB
4. Using .iloc to Access Specific Rows or Columns.mp4 9.93MB
4. Using .iloc to Access Specific Rows or Columns.vtt 3.96KB
4. Using Jupyter Notebook for Data Science.mp4 8.06MB
4. Using Jupyter Notebook for Data Science.vtt 5.20KB
4. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.mp4 4.21MB
4. Using Pandas and SQLAlchemy to Load, Work, and View Your Data.vtt 4.15KB
4. Working with Databases Using SQLAlchemy.mp4 8.11MB
4. Working with Databases Using SQLAlchemy.vtt 6.97KB
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5. Building Sparklines.mp4 5.41MB
5. Building Sparklines.vtt 4.95KB
5. Create Frequency Table with the Crosstab Function.mp4 7.88MB
5. Create Frequency Table with the Crosstab Function.vtt 5.55KB
5. Deleting Tables.mp4 1.97MB
5. Deleting Tables.vtt 2.23KB
5. Demo - Exploring and Working with Azure Notebooks.mp4 9.94MB
5. Demo - Exploring and Working with Azure Notebooks.vtt 5.06KB
5. Demo - Grouping Multi-index Data.mp4 4.42MB
5. Demo - Grouping Multi-index Data.vtt 2.99KB
5. Demo - List Slicing Operations and List Functions.mp4 7.78MB
5. Demo - List Slicing Operations and List Functions.vtt 6.49KB
5. Demo - Notebook Limits and Shutting down Kernels.mp4 9.27MB
5. Demo - Notebook Limits and Shutting down Kernels.vtt 6.34KB
5. Demo - Save, Checkpoint, and Export Notebooks.mp4 4.10MB
5. Demo - Save, Checkpoint, and Export Notebooks.vtt 3.74KB
5. Demo - Setting up and Connecting to Cloud Datalab on the GCP.mp4 14.51MB
5. Demo - Setting up and Connecting to Cloud Datalab on the GCP.vtt 8.46KB
5. Demo - Working with the Command Line Processes and Environment Variables.mp4 16.28MB
5. Demo - Working with the Command Line Processes and Environment Variables.vtt 10.75KB
5. Dropping Rows of Data.mp4 9.34MB
5. Dropping Rows of Data.vtt 5.10KB
5. Filtering Data with str.contains.mp4 12.59MB
5. Filtering Data with str.contains.vtt 5.19KB
5. Importing Data from Relational Databases with pandas (MySQL).mp4 8.52MB
5. Importing Data from Relational Databases with pandas (MySQL).vtt 5.94KB
5. Inserting Data - Single and Multiple Rows.mp4 6.14MB
5. Inserting Data - Single and Multiple Rows.vtt 5.86KB
5. Install Pygal.mp4 8.33MB
5. Install Pygal.vtt 8.45KB
5. Investigating Relationships between MPG and Weight.mp4 7.40MB
5. Investigating Relationships between MPG and Weight.vtt 5.20KB
5. Merge Keys.mp4 4.93MB
5. Merge Keys.vtt 4.29KB
5. Reading Matlab Files.mp4 3.09MB
5. Reading Matlab Files.vtt 2.15KB
5. Reshape Data Using the Stack and Unstack Functions.mp4 4.15MB
5. Reshape Data Using the Stack and Unstack Functions.vtt 3.40KB
5. Review.mp4 2.23MB
5. Review.vtt 2.36KB
5. Running and Debugging Python Code with an IDE.mp4 26.30MB
5. Running and Debugging Python Code with an IDE.vtt 18.06KB
5. Takeaway.mp4 2.70MB
5. Takeaway.vtt 3.04KB
5. Transforming Data.mp4 8.25MB
5. Transforming Data.vtt 4.13KB
5. Using Apache Zeppelin for Data Science.mp4 4.84MB
5. Using Apache Zeppelin for Data Science.vtt 2.55KB
5. Visualizing and Graphing Data with Matplotlib.mp4 5.42MB
5. Visualizing and Graphing Data with Matplotlib.vtt 5.12KB
5. Z-score Normalization.mp4 3.56MB
5. Z-score Normalization.vtt 2.93KB
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6. Building a Flask App to Render Pygal Charts.mp4 10.55MB
6. Building a Flask App to Render Pygal Charts.vtt 8.55KB
6. Cloudera Data Science Workbench for Data Science at Scale.mp4 10.29MB
6. Cloudera Data Science Workbench for Data Science at Scale.vtt 6.39KB
6. Demo - Building a Simple Regression Model on Datalab.mp4 11.84MB
6. Demo - Building a Simple Regression Model on Datalab.vtt 9.19KB
6. Demo - Concatenating and Copying Lists.mp4 4.44MB
6. Demo - Concatenating and Copying Lists.vtt 3.50KB
6. Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.mp4 10.89MB
6. Demo - Hosted Notebooks on a GCP Deep Learning Virtual Machine.vtt 6.95KB
6. Demo - Reading the Contents of a File.mp4 8.78MB
6. Demo - Reading the Contents of a File.vtt 7.38KB
6. Demo - Share Notebooks on Github.mp4 14.86MB
6. Demo - Share Notebooks on Github.vtt 7.41KB
6. Demo - Using Python 2 and Python 3 Kernels.mp4 10.34MB
6. Demo - Using Python 2 and Python 3 Kernels.vtt 6.35KB
6. Filtering Data.mp4 7.01MB
6. Filtering Data.vtt 3.14KB
6. Identifying and Dropping Duplicate Data.mp4 15.06MB
6. Identifying and Dropping Duplicate Data.vtt 6.97KB
6. Integrating with Version Control Using an IDE.mp4 25.84MB
6. Integrating with Version Control Using an IDE.vtt 13.68KB
6. Interacting with Pygal Charts.mp4 11.28MB
6. Interacting with Pygal Charts.vtt 7.82KB
6. Loading a CSV into a Table.mp4 2.76MB
6. Loading a CSV into a Table.vtt 2.63KB
6. Points to Consider for Data Normalization and Summary.mp4 3.60MB
6. Points to Consider for Data Normalization and Summary.vtt 3.14KB
6. Reading Pickle Files.mp4 7.09MB
6. Reading Pickle Files.vtt 4.05KB
6. Reshaping and Aggregation with Pivot Table.mp4 3.47MB
6. Reshaping and Aggregation with Pivot Table.vtt 2.57KB
6. Review.mp4 2.54MB
6. Review.vtt 2.29KB
6. Summary and Feedback.mp4 1.80MB
6. Summary and Feedback.vtt 1.83KB
6. Takeaway.mp4 1.42MB
6. Takeaway.mp4 1.40MB
6. Takeaway.vtt 1.61KB
6. Takeaway.vtt 1.84KB
6. The How Parameter.mp4 5.23MB
6. The How Parameter.vtt 4.54KB
6. Understanding How Cylinders and Displacement Are Related.mp4 3.66MB
6. Understanding How Cylinders and Displacement Are Related.vtt 2.71KB
6. Working with PostgreSQL with psycopg2 and SQLAlchemy.mp4 3.77MB
6. Working with PostgreSQL with psycopg2 and SQLAlchemy.vtt 3.41KB
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7. Demo - Disambiguating Merged Columns and Updating Dataframes.mp4 3.29MB
7. Demo - Disambiguating Merged Columns and Updating Dataframes.vtt 2.68KB
7. Demo - Introducing Tuples.mp4 7.36MB
7. Demo - Introducing Tuples.vtt 6.41KB
7. Demo - Overwriting and Appending Content to a File.mp4 9.98MB
7. Demo - Overwriting and Appending Content to a File.vtt 8.75KB
7. Demo - Setting up a SageMaker Notebook Instance on AWS.mp4 10.97MB
7. Demo - Setting up a SageMaker Notebook Instance on AWS.vtt 6.07KB
7. Demo - Uploading Files and Running Code on GCP.mp4 7.79MB
7. Demo - Uploading Files and Running Code on GCP.vtt 2.98KB
7. Demo - Using R and Python 3 Kernels.mp4 5.42MB
7. Demo - Using R and Python 3 Kernels.vtt 4.11KB
7. Importing Relational Data.mp4 4.68MB
7. Importing Relational Data.vtt 3.51KB
7. Looking at MPG over the Years.mp4 3.68MB
7. Looking at MPG over the Years.vtt 2.84KB
7. Module Summary.mp4 2.28MB
7. Module Summary.vtt 2.26KB
7. Plot Data from a CSV File.mp4 12.01MB
7. Plot Data from a CSV File.vtt 9.63KB
7. Review.mp4 2.99MB
7. Review.mp4 1.98MB
7. Review.vtt 2.89KB
7. Review.vtt 2.27KB
7. Summary.mp4 1020.86KB
7. Summary.vtt 884B
7. Takeaway.mp4 1.68MB
7. Takeaway.mp4 1.35MB
7. Takeaway.vtt 1.74KB
7. Takeaway.vtt 1.53KB
7. Testing the Flask App.mp4 3.33MB
7. Testing the Flask App.vtt 3.41KB
7. Working with Databases in Python Using an IDE.mp4 7.93MB
7. Working with Databases in Python Using an IDE.vtt 4.38KB
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8. Demo - Executing Code to Integrate with S3 Buckets.mp4 11.99MB
8. Demo - Executing Code to Integrate with S3 Buckets.vtt 7.14KB
8. Demo - Exploring Line and Cell Magic Commands.mp4 15.62MB
8. Demo - Exploring Line and Cell Magic Commands.vtt 11.10KB
8. Demo - Introducing Dictionaries.mp4 10.24MB
8. Demo - Introducing Dictionaries.vtt 8.97KB
8. Demo - Working with CSV and JSON Files.mp4 8.35MB
8. Demo - Working with CSV and JSON Files.vtt 6.73KB
8. Stacked Bar Charts.mp4 7.56MB
8. Stacked Bar Charts.vtt 6.68KB
8. Summary.mp4 2.28MB
8. Summary.mp4 2.19MB
8. Summary.vtt 2.68KB
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8. Summary and Further Study.mp4 2.38MB
8. Summary and Further Study.vtt 2.82KB
8. Understanding Brands and Territories with Text Processing.mp4 4.00MB
8. Understanding Brands and Territories with Text Processing.vtt 2.89KB
8. Unit Testing with an IDE.mp4 7.59MB
8. Unit Testing with an IDE.vtt 4.14KB
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9. Module Summary.mp4 2.48MB
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9. Module Summary.vtt 2.67KB
9. Module Summary.vtt 2.29KB
9. Summary and Further Study.mp4 2.50MB
9. Summary and Further Study.vtt 2.86KB
9. Takeaway.mp4 3.76MB
9. Takeaway.vtt 3.99KB
9. Telling a Data Story to Explain Our Discoveries.mp4 6.22MB
9. Telling a Data Story to Explain Our Discoveries.vtt 4.90KB
90 458.01KB
91 643.69KB
92 671.28KB
93 704.00KB
94 722.37KB
95 774.21KB
96 832.64KB
97 854.81KB
98 20.85KB
99 59.06KB
exercise.7z 813.75KB
exercise.7z 919.44KB
exercise.7z 14.14MB
exercise.7z 9.91MB
exercise.7z 8.80MB
exercise.7z 7.22MB
exercise.7z 3.25MB
exercise.7z 2.32MB
exercise.7z 2.10MB
exercise.7z 1.66MB
exercise.7z 1.24MB
playlist.m3u 2.23KB
playlist.m3u 4.92KB
playlist.m3u 3.78KB
playlist.m3u 3.29KB
playlist.m3u 3.09KB
playlist.m3u 2.40KB
playlist.m3u 2.59KB
playlist.m3u 2.37KB
playlist.m3u 1.95KB
playlist.m3u 1.93KB
playlist.m3u 1.63KB
scr.png 221.20KB
TutsNode.com.txt 63B
Distribution statistics by country
France (FR) 1
Republic of Korea (KR) 1
Total 2
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