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Interactive Python Standard Library

Liam Parker

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.

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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
Enroll now

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What's inside

Learning objectives

  • 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
Refresh your knowledge of Python syntax and concepts before starting the course.
View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon
Show steps
  • Read Chapter 1: Getting Started with Python
  • Complete the exercises in Chapter 1
Join a Python study group
Collaborate with peers to discuss course concepts, solve problems, and exchange ideas.
Show steps
  • 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
Apply your Python skills to create a small project that reinforces your understanding of the basics.
Show steps
  • 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
Expand to see all activities and additional details
Show all seven activities
Follow Python tutorials on data visualization
Explore additional resources to enhance your data visualization skills using popular Python libraries.
Browse courses on Data Visualization
Show steps
  • 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
Challenge yourself with coding puzzles to improve your problem-solving skills in Python.
Show steps
  • 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
Gain practical experience by contributing to a real-world Python project.
Show steps
  • 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
Deepen your understanding of advanced Python techniques for data analysis.
Browse courses on Advanced Python
Show steps
  • 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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Course image
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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