Python Tools: Jupyter vs. PyCharm

As Python has risen in popularity, there are many tools and repositories that have also become increasingly important. Of the many that are available, Jupyter and PyCharm have separated themselves as the leading tools to use when working with Python. In this course, software engineer and instructor Sam Pettus arms you with the baseline knowledge you need to work effectively in both Jupyter and PyCharm. Sam begins by detailing the difference between an integrated development environment (IDE) and open-source web applications, and explains how each of these tools function. He also shares the pros and cons of each tool, as well as their common applications. Sam then walks you through the key differences between each tool when working on a data science project, and covers topics such as debugging or integrating data. He then shows you the user profiles that most commonly leverage each program, giving you the ability to make a decision between the two, depending on the project or task you have. After watching this course, you'll be able to confidently articulate the pros, cons, and use-cases for each programming tool, allowing you to work more effectively in Python.