| 1 - Feel free to skip this entire section if you already have python installed.html | 307.2 B | ||
| 1 - Fell free to skip this section if you already have python or anaconda installed.html | 102.4 B | ||
| 1 - Histogram info.html | 4.5 KB | ||
| 1 - Please read.html | 307.2 B | ||
| 1 - Read this first.html | 1.1 KB | ||
| 1 - Scatter plots signature.html | 5.3 KB | ||
| 1 -Brief Intro to Pandas.mp4 | 45.9 MB | ||
| 1 -Conditionals in Python.mp4 | 37.3 MB | ||
| 1 -Create histogram using Plotly.mp4 | 19.9 MB | ||
| 1 -Create pie charts using plotly.mp4 | 38 MB | ||
| 1 -Create scatter mapbox charts using Plotly.mp4 | 66.4 MB | ||
| 1 -Download and Install Python on Windows.mp4 | 8 MB | ||
| 1 -Download and install python and pycharm on a Mac.mp4 | 20.2 MB | ||
| 1 -Hello World.mp4 | 33.2 MB | ||
| 1 -How to create a new project in Pycharm and create new files.mp4 | 65.5 MB | ||
| 1 -Intro to dictionaries.mp4 | 28 MB | ||
| 1 -Introduction to Lists.mp4 | 49.4 MB | ||
| 1 -Introduction to Plotly.mp4 | 37.1 MB | ||
| 1 -Introduction to Python Programming.mp4 | 74.6 MB | ||
| 1 -Introduction to Strings.mp4 | 17.6 MB | ||
| 1 -Learn to create scatterplots using Plotly.mp4 | 39.4 MB | ||
| 1 -Plotly Templates.mp4 | 41.5 MB | ||
| 1 -What are Functions.mp4 | 54 MB | ||
| 1 -What are tuples.mp4 | 26.4 MB | ||
| 1 -What is a set data structure in Python.mp4 | 33.3 MB | ||
| 2 - Boxplot.html | 3.9 KB | ||
| 2 - Line plots function in Plotly.html | 4.7 KB | ||
| 2 -Create Boxplots and Violinplots using Plotly.mp4 | 46 MB | ||
| 2 -Creation and Indexing.mp4 | 46.9 MB | ||
| 2 -Creation of Dictionary and methods Keys, Values, Get, Items.mp4 | 33.8 MB | ||
| 2 -Download and Install Pycharm on windows.mp4 | 15.8 MB | ||
| 2 -How to install python libraries.mp4 | 10.1 MB | ||
| 2 -If statement.mp4 | 49.8 MB | ||
| 2 -Introduction to Data Visualization and when you should use the different charts.mp4 | 78.9 MB | ||
| 2 -Introduction to Pandas Part 1.mp4 | 94.6 MB | ||
| 2 -Introduction to variables in python.mp4 | 59.5 MB | ||
| 2 -Learn to create Barcharts using Plotly.mp4 | 39.2 MB | ||
| 2 -Plotly Gallery.mp4 | 23.8 MB | ||
| 2 -Python Functions Code Along Part 1.mp4 | 133.6 MB | ||
| 2 -Sets code along part 1.mp4 | 8.8 MB | ||
| 2 -Top 10 common String methods.mp4 | 86 MB | ||
| 2 -Tuples Code Along part 1.mp4 | 48 MB | ||
| 3 - All python string methods.html | 4 KB | ||
| 3 - Python variables rules.html | 1.8 KB | ||
| 3 - Violinplot.html | 3.9 KB | ||
| 3 -Append, Insert Extend methods for lists.mp4 | 23 MB | ||
| 3 -Dictionary methods continued.mp4 | 38.1 MB | ||
| 3 -Sets code along part 2.mp4 | 15.5 MB | ||
| 3 -Tuples Code Along part 2.mp4 | 13.3 MB | ||
| 3 -Using python as a calculator.mp4 | 32.9 MB | ||
| 3 -if else.mp4 | 21.9 MB | ||
| 4 -List methods Index, Count, Reverse, Sort.mp4 | 22.3 MB | ||
| 4 -Sets code along part 3.mp4 | 34.7 MB | ||
| 4 -Tuples Code Along part 3.mp4 | 13.3 MB | ||
| 4 -if, else elif.mp4 | 28.2 MB | ||
| 4 -kgg.mp4 | 26.9 MB | ||
| 5 -Clear COpy.mp4 | 27 MB | ||
| 5 -For loops.mp4 | 47.1 MB | ||
| 5 -How to remove an item from a list using pop and remove methods.mp4 | 19.3 MB | ||
| 5 -Sets code along part 4.mp4 | 17.5 MB | ||
| 5 -Tuples Code Along part 4.mp4 | 9.2 MB | ||
| 6 -List methods using Copy and Clear methods.mp4 | 11.7 MB | ||
| 6 -Tuples Code Along part 5.mp4 | 7.6 MB | ||
| 6 -While loops.mp4 | 31.5 MB | ||
| 7 -Tuples Code Along part 6.mp4 | 3.7 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 67 total files | |||
Learn Python Data Visualization With Plotly & Python
https://WebToolTip.com
Last updated 2/2025
Created by Olabode Alamu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 65 Lectures ( 4h 19m ) | Size: 1.9 GB
Learn Python in a practical way to use it to create data visualizations
What you'll learn
Understand the basics of Python and Plotly, including how to install and set up the necessary tools for data visualization.
Create a variety of data visualizations, such as bar charts, line charts, scatter plots, pie charts, histograms, and heatmaps, to effectively represent data.
Customize and enhance visualizations by applying colors, labels, annotations, and interactivity to improve clarity and engagement.
Develop the skills to analyze and present data effectively through interactive and dynamic visualizations.
Requirements
No programming experience required, I will guide you through everything you need. Just have a working computer, internet and a desire to learn.
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