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

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3.8 GB
  • Uploaded Byabia9220
  • Downloads128
  • Last checkedOct. 11th '19
  • Date uploadedOct. 10th '19
  • Seeders 8
  • Leechers3
Your ISP and Government can track your torrent activity! Hide your IP with a VPN!

Infohash : 3DF79806107F9A4B540DB0CEA3D7CD727700FF03

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

Files:

Interactive Python Dashboards with Plotly and Dash 1. Course Introduction
  • 1.2 Github for Notes.html (0.1 KB)
  • 3.2 GitHub for Notes.html (0.1 KB)
  • 1.1 Full Guidebook for Course.html (0.2 KB)
  • 3.1 Extra Guidebook on Public Datasets Information.html (0.2 KB)
  • 3.3 Full Guidebook for Course.html (0.2 KB)
  • ReadMe.txt (0.6 KB)
  • 2. Course FAQ.html (2.1 KB)
  • 3. Overview of Notes and Guidebook.srt (7.3 KB)
  • 1. Course Overview.srt (14.9 KB)
  • 4. Installation Overview.srt (31.2 KB)
  • 3. Overview of Notes and Guidebook.mp4 (50.9 MB)
  • 1. Course Overview.mp4 (59.2 MB)
  • 4. Installation Overview.mp4 (149.5 MB)
10. Code Along Milestone Project
  • 1.1 Guidebook for Milestone Project.html (0.2 KB)
  • 2. Milestone Project Part One - Imports and Graph Setup.srt (4.7 KB)
  • 3. Milestone Project Part Two - Input Box and Basic Callback.srt (5.6 KB)
  • 6. Milestone Project Part Five - Adding in Dash State.srt (6.5 KB)
  • 4. Milestone Project Part Three - Reading Data with Pandas Datareader.srt (8.2 KB)
  • 1. Code Along Milestone Project Overview.srt (8.3 KB)
  • 7. Milestone Project Part Six - Multiple Stock Option Dropdown.srt (12.1 KB)
  • 5. Milestone Project Part Four - Adding DatePickers for Choosing Dates.srt (13.2 KB)
  • 2. Milestone Project Part One - Imports and Graph Setup.mp4 (17.9 MB)
  • 3. Milestone Project Part Two - Input Box and Basic Callback.mp4 (22.8 MB)
  • 1. Code Along Milestone Project Overview.mp4 (24.7 MB)
  • 4. Milestone Project Part Three - Reading Data with Pandas Datareader.mp4 (30.5 MB)
  • 6. Milestone Project Part Five - Adding in Dash State.mp4 (31.7 MB)
  • 7. Milestone Project Part Six - Multiple Stock Option Dropdown.mp4 (60.1 MB)
  • 5. Milestone Project Part Four - Adding DatePickers for Choosing Dates.mp4 (65.4 MB)
  • Visit Freecourseit.com.url (0.3 KB)
  • Visit Getnewcourses.com.url (0.3 KB)
  • ReadMe.txt (0.6 KB)
    • 3. Plotly Basics
    • 17. Histograms Exercise.srt (1.6 KB)
    • 11. Bubble Charts Exercise.srt (2.2 KB)
    • 14. Box Plots Exercise.srt (2.6 KB)
    • 23. Heatmaps Exercise.srt (2.7 KB)
    • 24. Heatmaps Exercise Solution.srt (2.8 KB)
    • 18. Histograms Exercise Solution.srt (3.3 KB)
    • 20. DistPlots Exercise.srt (4.0 KB)
    • 21. DistPlots Exercise Solution.srt (4.4 KB)
    • 12. Bubble Charts Exercise Solution.srt (5.2 KB)
    • 8. Bar Charts Exercise.srt (5.3 KB)
    • 9. Bar Charts Exercise - Solution.srt (5.5 KB)
    • 15. Box Plots Exercise Solution.srt (5.5 KB)
    • 1. Plotly Basics Overview.srt (6.5 KB)
    • 5. Line Charts Exercise.srt (6.9 KB)
    • 6. Line Charts Exercise - Solution Code Along.srt (9.5 KB)
    • 16. Histograms.srt (12.3 KB)
    • 4. Line Charts Part Two.srt (14.7 KB)
    • 3. Line Charts.srt (15.1 KB)
    • 19. Distplots.srt (15.2 KB)
    • 7. Bar Charts.srt (18.1 KB)
    • 13. Box Plots.srt (19.8 KB)
    • 10. Bubble Plots.srt (21.7 KB)
    • 2. Scatter Plots.srt (26.3 KB)
    • 22. Heatmaps.srt (27.6 KB)
    • 17. Histograms Exercise.mp4 (5.8 MB)
    • 11. Bubble Charts Exercise.mp4 (8.0 MB)
    • 23. Heatmaps Exercise.mp4 (9.7 MB)
    • 14. Box Plots Exercise.mp4 (10.8 MB)
    • 20. DistPlots Exercise.mp4 (13.7 MB)
    • 24. Heatmaps Exercise Solution.mp4 (16.1 MB)
    • 8. Bar Charts Exercise.mp4 (18.1 MB)
    • 18. Histograms Exercise Solution.mp4 (18.4 MB)
    • 15. Box Plots Exercise Solution.mp4 (25.8 MB)
    • 12. Bubble Charts Exercise Solution.mp4 (26.2 MB)
    • 21. DistPlots Exercise Solution.mp4 (27.1 MB)
    • 9. Bar Charts Exercise - Solution.mp4 (28.8 MB)
    • 5. Line Charts Exercise.mp4 (30.5 MB)
    • 1. Plotly Basics Overview.mp4 (37.0 MB)
    • 16. Histograms.mp4 (37.4 MB)
    • 6. Line Charts Exercise - Solution Code Along.mp4 (45.8 MB)
    • 19. Distplots.mp4 (60.6 MB)
    • 13. Box Plots.mp4 (68.5 MB)
    • 4. Line Charts Part Two.mp4 (70.5 MB)
    • 3. Line Charts.mp4 (71.1 MB)
    • 7. Bar Charts.mp4 (82.9 MB)
    • 10. Bubble Plots.mp4 (85.3 MB)
    • 2. Scatter Plots.mp4 (120.9 MB)
    • 22. Heatmaps.mp4 (135.4 MB)
    6. DashBoard Components
    • 1. Dash Components.srt (2.0 KB)
    • 4. Markdown with Dash.srt (3.8 KB)
    • 5. Using Help() with Dash.srt (5.5 KB)
    • 2. HTML Components.srt (15.6 KB)
    • 3. Core Components.srt (22.1 KB)
    • 1. Dash Components.mp4 (8.5 MB)
    • 4. Markdown with Dash.mp4 (20.8 MB)
    • 5. Using Help() with Dash.mp4 (22.5 MB)
    • 2. HTML Components.mp4 (61.7 MB)
    • 3. Core Components.mp4 (97.5 MB)
    9. Interacting with Visualizations
    • 2. Click Data.srt (2.8 KB)
    • 6. Updating Graphs on Interactions - Part Three.srt (15.0 KB)
    • 4. Updating Graphs on Interactions.srt (16.4 KB)
    • 3. Selection Data.srt (23.9 KB)
    • 5. Updating Graphs on Interactions Part 2.srt (24.6 KB)
    • 1. Hover Over Data.srt (30.0 KB)
    • 2. Click Data.mp4 (10.9 MB)
    • 4. Updating Graphs on Interactions.mp4 (63.5 MB)
    • 6. Updating Graphs on Interactions - Part Three.mp4 (72.9 MB)
    • 3. Selection Data.mp4 (101.2 MB)
    • 5. Updating Graphs on Interactions Part 2.mp4 (115.9 MB)
    • 1. Hover Over Data.mp4 (122.2 MB)
    2. Introduction to Data Basics
    • 4. Exercise NumPyPandas Practice.srt (4.4 KB)
    • 5. NumPyPandas Practice Exercise Solution.srt (6.6 KB)
    • 1. Plotly and Dash Overview.srt (10.9 KB)
    • 3. Pandas Crash Course.srt (22.8 KB)
    • 2. NumPy Crash Course.srt (24.3 KB)
    • 4. Exercise NumPyPandas Practice.mp4 (17.9 MB)
    • 5. NumPyPandas Practice Exercise Solution.mp4 (40.2 MB)
    • 1. Plotly and Dash Overview.mp4 (48.7 MB)
    • 3. Pandas Crash Course.mp4 (84.3 MB)
    • 2. NumPy Cras

Code:

  • udp://tracker.openbittorrent.com:80/announce
  • udp://tracker.leechers-paradise.org:6969/announce
  • udp://eddie4.nl:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://tracker.coppersurfer.tk:6969/announce
  • udp://tracker.leechers-paradise.org:6969/announce
  • udp://9.rarbg.to:2790/announce
  • udp://tracker.pirateparty.gr:6969/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://9.rarbg.com:2790/announce
  • udp://9.rarbg.me:2730/announce
  • udp://denis.stalker.upeer.me:6969/announce
  • udp://open.demonii.si:1337/announce