From the course: Practical Python for Time Series Analysis
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Dev environment - Python Tutorial
From the course: Practical Python for Time Series Analysis
Dev environment
- [Instructor] Thank you for choosing this course to get your skills, hands on practical Python for time series analysis where I will explain the codes step-by-step, from blank cells of notebooks. First of all, let's learn how the materials are a structure, then how to access and work with these materials so that you make them your own. Execute the first line of Python codes, how to ask questions in the GitHub issues in this repository, in case you've got doubts or questions, and finally, how to commit your work so that you can keep track of your progress. The most important folder is the notebooks that you can have in this file icon. If you go inside, you'll see the enumeration of chapters, which is the same that you'll see in LinkedIn Learning platform. And the main thing to differentiate is the assignments from the lessons. In this course, there are three assignments where you'll have to replicate what you've learned…
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