MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 35 lectures (3h 25m) | Size: 831 MB
You just took a course on Python or are working on your data analytics skills.
Bner's Guide to Python Visualizations
Matplotlib
Python graphing
Jupyter Notebooks
Matplotlib Artist API
Basic Python
Numpy
However, creating visualizations was skimmed over and you were left feeling that there's more to learn. How can you feel confident in creating the kind of graphs that your instructor was making?
This course gets granular about using Matplotlib with Python. It shows you how to access, use, and understand the Artist class to get you going on your Python journey. It's frustrating to have an understanding on Numpy, Pandas, and Scipy but are unable to visualize the data the way you want.
I've been in that place, so I went out and taught it to myself. Now, I want to share the step-by-step approach I took, so we can all stop struggling with Python visualizations.
Python developers curious about data analytics
Intermediate Python users learning to graph data
Data sciences learning to graph data
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