Resources for Csv

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Courses

We implement our own command in Python and distribute it via pip with pip install sheet2graph.

The command takes spreadsheets files (csv, xlsx) as input, and generates images (png, jpg, svg) based on the data contained.

Episodes

We create a Virtual environment and setup the project.

• Organizing commands with a Makefile
• Creating our Virtualenv
• Installing packages
• Using requirements.txt
• git branching
We save out first graph from the spreadsheet data.

• Installing Plotly to generate graphs
• Pip freeze requirements
• Solving dependency problems
• Using Pandas to do simple data processing
In addition to a local file (.csv, .xlsx), we accept a Google Drive public document as input.

• Parsing the url address of the Google Drive document
• Adding the input option transparently for the user

Short Videos

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