Python Tools: Jupyter vs. PyCharm

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Python Tools: Jupyter vs. PyCharm

Instructor: Madecraft

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5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Select and justify the right Python development environment, Jupyter Notebook or PyCharm, for any project.
Apply the appropriate debugging, version control, and profiling workflow for whichever tool you choose.

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There are 5 modules in this course

Python's development ecosystem keeps growing every year, but two tools dominate almost every conversation about how to actually write and run Python code: Jupyter Notebook and PyCharm. Picking the wrong one for a given project can slow you down before you write a single useful line of code, and most developers end up choosing based on habit rather than a genuine sense of fit.

In this course, you'll compare Jupyter Notebook and PyCharm across the criteria that actually matter: project goals, debugging workflows, version control integration, plugin and extension ecosystems, performance profiling, and machine learning support. You'll work through realistic scenarios that separate surface-level preferences from genuine project fit, matching each tool's strengths to specific developer roles and project types. Along the way, you'll build a repeatable framework for evaluating any Python tool you encounter, not just these two. By the end of this course, you'll be able to confidently select, justify, and apply the right Python development environment for any project you take on.

You've got the Python skills, but picking the wrong development tool can slow you down before you write a single useful line of code. In this module, you'll compare Jupyter Notebook and PyCharm side by side so you can match each tool's strengths to the kind of Python work you actually do.

What's included

6 videos3 readings2 assignments

6 videosTotal 10 minutes

PyCharm vs. Jupyter Notebook1 minute
Approaching an IDE1 minute
Jupyter Notebook Overview2 minutes
PyCharm Overview1 minute
Jupyter Notebook Pros and Cons2 minutes
PyCharm Pros and Cons2 minutes

3 readingsTotal 30 minutes

One Document, Three Jobs: Code, Story, and Proof10 minutes
Everything In One Place, On Purpose10 minutes
Great for the First Draft, Risky for the Final Product10 minutes

2 assignmentsTotal 22 minutes

Deciding Between Jupyter and PyCharm for Real Projects15 minutes
Spotting the Core Pieces of Any IDE7 minutes

You've picked a project, but have you actually picked the right tool for it? In this module, you'll compare how Jupyter Notebook and PyCharm each extend their core capabilities through plugins, built-in performance profiling, and support for machine learning work.

What's included

3 videos1 reading2 assignments

3 videosTotal 8 minutes

Understanding Your Goals2 minutes
Debugging in Jupyter vs. PyCharm3 minutes
Version Control in Jupyter vs. PyCharm4 minutes

1 readingTotal 10 minutes

Print Statements Are a Debugger You Have to Rebuild Every Time10 minutes

2 assignmentsTotal 22 minutes

Debugging and Version Control Choices for Your Project15 minutes
Two Quick Commands Worth Remembering7 minutes

You've got the basics down, but real projects eventually push past what either tool does out of the box. In this module, you'll see how Jupyter Notebook and PyCharm each extend their core capabilities through plugins and extensions, built-in performance profiling, and support for machine learning work.

What's included

3 videos1 reading2 assignments

3 videosTotal 8 minutes

Integrations in Jupyter vs. PyCharm3 minutes
Code Profiling in Jupyter vs. PyCharm3 minutes
Machine Learning in Jupyter vs. PyCharm2 minutes

1 readingTotal 10 minutes

Guessing Where the Slowdown Is Versus Actually Measuring It10 minutes

2 assignmentsTotal 22 minutes

Extending Your IDE for Specialized Work15 minutes
Extending a Tool Versus Replacing It7 minutes

Knowing a tool's features is one thing, but recognizing yourself in how it's actually used is another. In this module, you'll look at the kinds of developers, researchers, and teams who gravitate toward Jupyter Notebook or PyCharm so you can see where you fit.

What's included

2 videos1 assignment

You've built a real framework for choosing between two of Python's most popular development tools, but frameworks only matter once you actually use them. In this module, you'll apply what you now know about Jupyter Notebook and PyCharm to your own next project and walk away with a clear plan for evaluating any Python tool you encounter going forward.

What's included

1 video1 assignment

Instructor

Madecraft

111 Courses10,433 learners

Offered by

Madecraft

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