From the course: Customer Insights and Consumer Analytics for Organizations: Tools and Analysis
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Getting around in Python
From the course: Customer Insights and Consumer Analytics for Organizations: Tools and Analysis
Getting around in Python
- [Instructor] So, to write, test, and deploy code, you need a workflow. There are several workflow options with Python. It offers a competent command-line interface. That means you can interact directly with the language via the command line or terminal. You can use an integrated development environment like JetBrains' PyCharm or Microsoft's Visual Studio, or you can use a web-based application like Jupyter Notebooks. I personally use all three of these in my practice. You might too, but I'll be illustrating Jupyter Notebooks through the demos in this course, so let me show you how to get around the tool. The first thing we can do is fire up the built-in application server, the terminal. So I already have a terminal window open here, so what I can do is navigate into the exercise files that I have on the desktop. So I'll do cd Desktop/ Exercise\ Files and then what I can do is fire off the server using jupyter notebook as a command and what that will do is that will kick off a web…
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