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Interactive Data Visualization with ipywidgets 30 Projects

Interactive Data Visualization with ipywidgets 30 Projects
Free Download Interactive Data Visualization with ipywidgets 30 Projects
Published 3/2024
Created by Abdurrahman TEKIN
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 3h 25m ) | Size: 2.82 GB


Mastering Interactive Data Visualization: 30 Engaging Projects with ipywidgets
What you'll learn:
Convert temperatures interactively using ipywidgets
Calculate Body Mass Index (BMI) with dynamic input and visualization
Solve quadratic equations (ax^2 + bx + c = 0) using interactive widgets
Style text messages with customizable formatting options
Generate multiplication tables with interactive elements for quick exploration
Create a dynamic Factorial Calculator with real-time updates
Build a Currency Converter with live exchange rates and interactive currency selection
Implement a Grade Calculator with interactive sliders for precise grade calculations
Develop a Number Guessing Game with user-friendly interface and feedback
Visualize data processing progress with interactive updates and informative visuals
Requirements:
Basic understanding of Python programming language.
Familiarity with fundamental programming concepts such as variables, functions, and loops.
Prior knowledge of Python libraries, particularly NumPy and Matplotlib, will be beneficial.
Experience with Jupyter Notebook or JupyterLab for running Python code interactively.
Description:
Are you ready to unlock the power of interactive data visualization using ipywidgets? In this comprehensive course, you'll dive into a hands-on learning experience through 30 engaging projects that will take your data visualization skills to new heights.Each project is carefully designed to provide you with practical, real-world scenarios where you'll apply ipywidgets to create visually stunning and interactive visualizations. From basic concepts to advanced techniques, you'll gain a deep understanding of ipywidgets and its capabilities.Throughout the course, you'll tackle a wide range of projects, including converting temperatures, calculating Body Mass Index (BMI), solving quadratic equations, styling text messages, generating multiplication tables, and much more. With each project, you'll build upon your knowledge and develop a versatile skill set that can be applied to various domains.Not only will you learn how to create captivating visualizations, but you'll also discover how to enhance user experience by incorporating features like progress bars, interactive charts, and responsive widgets. By the end of the course, you'll have a solid foundation in ipywidgets and be able to create dynamic, interactive data visualizations that captivate and engage your audience.What sets this course apart is its project-based approach. Rather than passively learning through lectures, you'll actively participate in hands-on projects that simulate real-world scenarios. This practical learning style ensures that you not only understand the concepts but also gain the confidence to apply them independently.Whether you're a data scientist, analyst, developer, or anyone interested in data visualization, this course is your gateway to mastering ipywidgets and taking your data visualization skills to the next level. Join us now and embark on this exciting journey of interactive data visualization with ipywidgets! Enroll today and unlock the full potential of your data.
Who this course is for:
Python enthusiasts who want to enhance their data visualization skills using ipywidgets.
Data analysts and scientists who want to create interactive visualizations for their data.
Programmers who are interested in building dynamic user interfaces with ipywidgets.
Students or professionals in the fields of data science, analytics, or visualization seeking practical experience with ipywidgets.
Anyone looking to expand their Python skills and explore the world of interactive data visualization.
Homepage
https://www.udemy.com/course/interactive-data-visualization-with-ipywidgets-30-projects/











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