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[Udemy] - Interactive Python Dashboards with Plotly and Dash [Getnewcourses]

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[Udemy] - Interactive Python Dashboards with Plotly and Dash [Getnewcourses] (Size: 3.78 GB)
  1. Course Introduction
  1. Course Overview.mp4 59.18 MB
  1. Course Overview.srt 14.88 KB
  1.1 Full Guidebook for Course.html 157 B
  1.2 Github for Notes.html 120 B
  2. Course FAQ.html 2.1 KB
  3. Overview of Notes and Guidebook.mp4 50.87 MB
  3. Overview of Notes and Guidebook.srt 7.33 KB
  3.1 Extra Guidebook on Public Datasets Information.html 157 B
  3.2 GitHub for Notes.html 120 B
  3.3 Full Guidebook for Course.html 157 B
  4. Installation Overview.mp4 149.51 MB
  4. Installation Overview.srt 31.17 KB
  ReadMe.txt 627 B
  10. Code Along Milestone Project
  1. Code Along Milestone Project Overview.mp4 24.66 MB
  1. Code Along Milestone Project Overview.srt 8.34 KB
  1.1 Guidebook for Milestone Project.html 157 B
  2. Milestone Project Part One - Imports and Graph Setup.mp4 17.89 MB
  2. Milestone Project Part One - Imports and Graph Setup.srt 4.7 KB
  3. Milestone Project Part Two - Input Box and Basic Callback.mp4 22.81 MB
  3. Milestone Project Part Two - Input Box and Basic Callback.srt 5.61 KB
  4. Milestone Project Part Three - Reading Data with Pandas Datareader.mp4 30.5 MB
  4. Milestone Project Part Three - Reading Data with Pandas Datareader.srt 8.17 KB
  5. Milestone Project Part Four - Adding DatePickers for Choosing Dates.mp4 65.36 MB
  5. Milestone Project Part Four - Adding DatePickers for Choosing Dates.srt 13.19 KB
  6. Milestone Project Part Five - Adding in Dash State.mp4 31.74 MB
  6. Milestone Project Part Five - Adding in Dash State.srt 6.47 KB
  7. Milestone Project Part Six - Multiple Stock Option Dropdown.mp4 60.09 MB
  7. Milestone Project Part Six - Multiple Stock Option Dropdown.srt 12.08 KB
  11. Live Updating
  1. Layout Updating.mp4 47.19 MB
  1. Layout Updating.srt 12.26 KB
  2. Simple Live Update Example.mp4 109.68 MB
  2. Simple Live Update Example.srt 20.89 KB
  12. Deployment
  1. App Authorization.mp4 37.14 MB
  1. App Authorization.srt 10.77 KB
  2. Deploying App to Heroku.mp4 144.64 MB
  2. Deploying App to Heroku.srt 28.01 KB
  13. BONUS COUPONS FOR OTHER COURSE
  1. BONUS COUPONS FOR OTHER COURSE.html 5.79 KB
  2. Introduction to Data Basics
  1. Plotly and Dash Overview.mp4 48.65 MB
  1. Plotly and Dash Overview.srt 10.9 KB
  2. NumPy Crash Course.mp4 138.73 MB
  2. NumPy Crash Course.srt 24.29 KB
  3. Pandas Crash Course.mp4 84.3 MB
  3. Pandas Crash Course.srt 22.77 KB
  4. Exercise NumPyPandas Practice.mp4 17.9 MB
  4. Exercise NumPyPandas Practice.srt 4.4 KB
  5. NumPyPandas Practice Exercise Solution.mp4 40.18 MB
  5. NumPyPandas Practice Exercise Solution.srt 6.64 KB
  3. Plotly Basics
  1. Plotly Basics Overview.mp4 37 MB
  1. Plotly Basics Overview.srt 6.45 KB
  10. Bubble Plots.mp4 85.32 MB
  10. Bubble Plots.srt 21.71 KB
  11. Bubble Charts Exercise.mp4 7.98 MB
  11. Bubble Charts Exercise.srt 2.2 KB
  12. Bubble Charts Exercise Solution.mp4 26.19 MB
  12. Bubble Charts Exercise Solution.srt 5.2 KB
  13. Box Plots.mp4 68.46 MB
  13. Box Plots.srt 19.76 KB
  14. Box Plots Exercise.mp4 10.8 MB
  14. Box Plots Exercise.srt 2.59 KB
  15. Box Plots Exercise Solution.mp4 25.85 MB
  15. Box Plots Exercise Solution.srt 5.46 KB
  16. Histograms.mp4 37.4 MB
  16. Histograms.srt 12.31 KB
  17. Histograms Exercise.mp4 5.82 MB
  17. Histograms Exercise.srt 1.63 KB
  18. Histograms Exercise Solution.mp4 18.36 MB
  18. Histograms Exercise Solution.srt 3.27 KB
  19. Distplots.mp4 60.58 MB
  19. Distplots.srt 15.16 KB
  2. Scatter Plots.mp4 120.92 MB
  2. Scatter Plots.srt 26.26 KB
  20. DistPlots Exercise.mp4 13.7 MB
  20. DistPlots Exercise.srt 4.04 KB
  21. DistPlots Exercise Solution.mp4 27.08 MB
  21. DistPlots Exercise Solution.srt 4.38 KB
  22. Heatmaps.mp4 135.42 MB
  22. Heatmaps.srt 27.58 KB
  23. Heatmaps Exercise.mp4 9.71 MB
  23. Heatmaps Exercise.srt 2.73 KB
  24. Heatmaps Exercise Solution.mp4 16.15 MB
  24. Heatmaps Exercise Solution.srt 2.85 KB
  3. Line Charts.mp4 71.1 MB
  3. Line Charts.srt 15.08 KB
  4. Line Charts Part Two.mp4 70.51 MB
  4. Line Charts Part Two.srt 14.74 KB
  5. Line Charts Exercise.mp4 30.53 MB
  5. Line Charts Exercise.srt 6.86 KB
  6. Line Charts Exercise - Solution Code Along.mp4 45.82 MB
  6. Line Charts Exercise - Solution Code Along.srt 9.5 KB
  7. Bar Charts.mp4 82.87 MB
  7. Bar Charts.srt 18.15 KB
  8. Bar Charts Exercise.mp4 18.06 MB
  8. Bar Charts Exercise.srt 5.26 KB
  9. Bar Charts Exercise - Solution.mp4 28.78 MB
  9. Bar Charts Exercise - Solution.srt 5.46 KB
  4. Dash Basics - Layout
  1. Introduction to Dash Basics.mp4 22.37 MB
  1. Introduction to Dash Basics.srt 5.24 KB
  2. Dash Layouts - Part One.mp4 84.06 MB
  2. Dash Layouts - Part One.srt 19.56 KB
  3. Dash Layouts - Part Two - Styling.mp4 66.38 MB
  3. Dash Layouts - Part Two - Styling.srt 14.18 KB
  4. Converting Simple Plotly Plot to Dashboard with Dash.mp4 87.53 MB
  4. Converting Simple Plotly Plot to Dashboard with Dash.srt 21.84 KB
  5. DashBoard Exercise
  1. Exercise Create a Simple Dashboard.mp4 20.67 MB
  1. Exercise Create a Simple Dashboard.srt 5.27 KB
  2. Simple Dashboard Exercise Solution.mp4 39.97 MB
  2. Simple Dashboard Exercise Solution.srt 7.58 KB
  6. DashBoard Components
  1. Dash Components.mp4 8.47 MB
  1. Dash Components.srt 2.03 KB
  2. HTML Components.mp4 61.7 MB
  2. HTML Components.srt 15.6 KB
  3. Core Components.mp4 97.52 MB
  3. Core Components.srt 22.14 KB
  4. Markdown with Dash.mp4 20.76 MB
  4. Markdown with Dash.srt 3.77 KB
  5. Using Help() with Dash.mp4 22.47 MB
  5. Using Help() with Dash.srt 5.47 KB
  7. Interactive Components
  1. Single Callbacks for Interactivity.mp4 75.52 MB
  1. Single Callbacks for Interactivity.srt 18.21 KB
  2. Dash Callbacks for Graphs.mp4 117.88 MB
  2. Dash Callbacks for Graphs.srt 22.94 KB
  3. Multiple Inputs.mp4 134.37 MB
  3. Multiple Inputs.srt 30.94 KB
  4. Multiple Outputs.mp4 149.5 MB
  4. Multiple Outputs.srt 30.24 KB
  5. Exercise Interactive Components.mp4 10.73 MB
  5. Exercise Interactive Components.srt 5.39 KB
  6. Interactive Components Exercise Solution.mp4 49.24 MB
  6. Interactive Components Exercise Solution.srt 12.21 KB
  8. Callbacks with State
  1. Controlling Callbacks with Dash State.mp4 74.02 MB
  1. Controlling Callbacks with Dash State.srt 16.95 KB
  9. Interacting with Visualizations
  1. Hover Over Data.mp4 122.15 MB
  1. Hover Over Data.srt 29.98 KB
  2. Click Data.mp4 10.95 MB
  2. Click Data.srt 2.84 KB
  3. Selection Data.mp4 101.17 MB
  3. Selection Data.srt 23.88 KB
  4. Updating Graphs on Interactions.mp4 63.52 MB
  4. Updating Graphs on Interactions.srt 16.45 KB
  5. Updating Graphs on Interactions Part 2.mp4 115.86 MB
  5. Updating Graphs on Interactions Part 2.srt 24.63 KB
  6. Updating Graphs on Interactions - Part Three.mp4 72.93 MB
  6. Updating Graphs on Interactions - Part Three.srt 15.04 KB
  ReadMe.txt 627 B
  Visit Freecourseit.com.url 342 B
  Visit Getnewcourses.com.url 343 B
  ▲ 146 total files

Description


Interactive Python Dashboards with Plotly and Dash



Download For More Latest Courses Visit >>> Getnewcourses

What you'll learn
Learn about Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Heat Maps, and more!
Create Layouts with Plotly's Dash library.
Use Dash to create interactive components with Plotly.
Learn how to connect multiple inputs and outputs with a dashboard.
Update live interactive graphs with clicks, hover overs, and more.
Connect the interactive dashboard to live updating data for streaming information.
Learn how to secure your interactive dashboards with App Authorization.
Deploy your interactive dashboards to the internet with services like Heroku.

Udemy courses free download

Requirements
Knowledge of Basic Python
Computer with Internet Access

Description
Welcome to Python Visualization Dashboards with Plotly's Dash Library!

This course will teach your everything you need to know to use Python to create interactive dashboard's with Plotly's new Dash library! Have you ever wanted to take your Python skills to the next level in data visualization? With this course you will be able to create fully customization, interactive dashboards with the open source libraries of Plotly and Dash.

Dash instructional courses from Plotly usually cost more than $1000, but now you can get the bootcamp experience for a fraction of that price in this self-paced course that includes example code, explanatory videos, student support in our chat channels, Question and Answer Forums, and interactive exercises.

Download Udemy Courses For Free

We'll start off by teaching you enough Numpy and Pandas that you feel comfortable working and generating data in our quick crash course. Then we'll continue by teaching you about basic data visualization with Plotly, including scatter plots, line charts, bar charts, bubble charts, box plots, histograms, distribution plots, heat maps, and more! We'll also give you an intuition of when to use each plot type.

After this and at the end of each section you'll be given exercise tasks to test and evaluate your new skills, a feature no other Plotly Dash training offers!

Once you have a grasp on Plotly basics we'll move on to the bulk of the course which is utilizing the Dash library to leverage the power of plotly plots to create interactive dashboards. We'll discuss how to create layouts for dashboards, how to have interactive callbacks, dealing with multiple inputs and outputs, creating interactive components, and more!

We'll finish off the course by going over live updating dashboards that automatically update in real time and even show you how you can deploy your dashboards live to the web with the Heroku service.

By taking this course you will be learning the bleeding edge of data visualization technology with Python and gain a valuable new skill to show your colleagues or potential employers. After completing the course you will have a certification you can post to your LinkedIn profile and a portfolio of dashboard projects you can share as well.

All of this comes with a 30 day money back guarantee, so what are you waiting for? Enroll today and we'll see you inside the course!

Who this course is for:
Python developers who are interested in learning how to create interactive dashboards and visualizations

Latest Paid Courses For Free Visit>>> Getnewcourses

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