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You’re an EduBlocks user who wants to transition from block-based to text-based coding using practical programming tools, like a Jupyter notebook environment.
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You want to understand programming basics before continuing your learning with more advanced data science topics.
From EduBlocks to Python: Coding in Jupyter Notebooks
Learning Python is a valuable skill considering Python’s versatility and widespread use in various fields, including web development, data science, artificial intelligence, and automation. This learning path is designed to provide a seamless transition from EduBlocks block-based programming to text-based coding in a notebook environment. Learners already familiar with EduBlocks will strengthen their text-based Python programming knowledge before transitioning to coding in Jupyter Notebooks, a powerful tool professionals use for data analysis, data visualization, machine learning, and more. This learning path will empower you to write, test, and visualize code in a professional environment, bridging the gap between beginner and advanced programming skills and enhancing problem-solving capabilities. By the end of this learning path, you will transition from visual block coding to writing and executing Python scripts in a professional environment and be equipped with essential coding skills to continue your data science learning journey.
By the end of this learning path, you’ll learn:

Jupyter Notebook Basics
Explore essential features and practical applications of notebooks to enhance your coding workflow.
Transition from EduBlocks to Python Coding in Jupyter Notebooks
Transform your EduBlocks project to a Jupyter Notebook program.
What's Next?
Complete all courses in this path to earn your course completion certificates.
This is for you because...
Prerequisites
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Familiarity with EduBlocks
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Get Started with Anaconda course
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Proficiency with Python is helpful but not essential
Additional Details
Setup
- An Anaconda account (sign-up is free) is needed to use Notebooks
To open Anaconda Notebooks:
- Go to Anaconda Notebooks
- Click on 'Sign Up' or 'Sign In' if you already have an account from the top navigation menu
- Click 'Launch Notebook'
Recommended Follow-up
- Introduction to Python Programming learning path - subscription required