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Interactive Python Standard Library

Unlock the power of interactive Python libraries and revolutionize your programming skills. This course is designed for intermediate Python developers looking to enhance their applications with dynamic, user-responsive features.

Key course highlights:

Explore popular interactive libraries
Learn to create stunning, interactive data visualizations
Dive into real-time data processing and user engagement techniques
Gain hands-on experience through practical projects and exercises

By the end of this course, you'll be equipped to:

Implement real-time updates and user interactions in your Python projects
Enhance your data analysis and presentation skills with interactive visualizations

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What's inside

Learning objectives

Interactive jupyter
Standard library in python

Basic plotting

Interactive jupyter
Standard library in python
Basic plotting

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for developers with existing Python programming skills who want to boost their data science capabilities

Utilizes interactive Python libraries, adding value to your programming skills

Covers essential library options for interactive data visualizations, like Plotly and Dash

Builds a solid knowledge base in data analysis and real-time data processing techniques

Requires proficiency in foundational Python concepts and libraries

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Interactive Python Standard Library with these activities:

Review Python Crash Course

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Refresh your knowledge of Python syntax and concepts before starting the course.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

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Read Chapter 1: Getting Started with Python
Complete the exercises in Chapter 1

Join a Python study group

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Collaborate with peers to discuss course concepts, solve problems, and exchange ideas.

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Find a study group or create one with classmates
Meet regularly to discuss course materials, work on projects, and ask questions

Build a simple Python project

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Apply your Python skills to create a small project that reinforces your understanding of the basics.

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Choose a simple project idea (e.g., a calculator, a dice rolling simulator, a text-based game)
Plan the project structure and write the code
Test and debug your project

Four other activities

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Show all seven activities

Follow Python tutorials on data visualization

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Explore additional resources to enhance your data visualization skills using popular Python libraries.

Browse courses on Data Visualization

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Find reputable Python data visualization tutorials
Follow the tutorials and practice creating different types of visualizations (e.g., bar charts, line charts, scatter plots)

Solve Python coding challenges

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Challenge yourself with coding puzzles to improve your problem-solving skills in Python.

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Find online coding challenges platforms (e.g., LeetCode, HackerRank)
Choose challenges that align with the course topics
Solve the challenges and review your solutions

Contribute to an open-source Python project

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Gain practical experience by contributing to a real-world Python project.

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Find an open-source Python project that aligns with your interests
Review the project documentation and codebase
Identify an area where you can contribute
Fork the project, make your changes, and submit a pull request

Attend a Python workshop on advanced data analysis

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Deepen your understanding of advanced Python techniques for data analysis.

Browse courses on Advanced Python

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Find and register for a relevant Python workshop
Attend the workshop and actively participate in discussions and exercises

Career center

Learners who complete Interactive Python Standard Library will develop knowledge and skills that may be useful to these careers:

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Effort

4 to 6 hours per week for 4 weeks

Level

Introductory

Via

edX

Institution

Pragmatic AI Labs

Instructor

Liam Parker

Session

July 15, 2024 - July 15, 2028

Language

English

Transcript

English

Good to know

Suitable for developers with existing Python programming skills who want to boost their data science capabilities

Utilizes interactive Python libraries, adding value to your programming skills

Covers essential library options for interactive data visualizations, like Plotly and Dash

Builds a solid knowledge base in data analysis and real-time data processing techniques

Requires proficiency in foundational Python concepts and libraries

Share and help others discover this course.

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