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Ted Petrou

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November 2017

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How do you deal with writer’s block?

Ted Petrou I had many, many occurrences where I would spend hours in front of my computer without even writing a paragraph. I would toil from the editor to brows…moreI had many, many occurrences where I would spend hours in front of my computer without even writing a paragraph. I would toil from the editor to browsing and checking updates to no end it seemed like. This back and forth merry-go-round is a terrible strategy.

The best strategy for me was to completely remove myself from my current position and go for a walk, call a friend, exercise, etc... The mind needs time to dispatch its thoughts elsewhere. The trouble with this strategy is that is difficult to implement because you are forcing yourself to take a break and it feels that this break is just wasting time. It isn't. Take the break.(less)

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What are you currently working on?

Ted Petrou I am very excited about releasing all my material covering pandas, matplotlib, and scikit-learn which should be complete in March of 2018. You can fin…moreI am very excited about releasing all my material covering pandas, matplotlib, and scikit-learn which should be complete in March of 2018. You can find all the material on my github: https://github.com/tdpetrou/Learn-Pandas (less)

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Average rating: 3.9 · 10 ratings · 2 reviews · 4 distinct works

	Exercise python 0.00 avg rating — 0 ratings	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	Exercise python 0.00 avg rating — 0 ratings	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars
	pandasクックブック ―Pythonによるデータ処理のレシピ― 0.00 avg rating — 0 ratings	Error rating book. Refresh and try again. Rate this book Clear rating 1 of 5 stars 2 of 5 stars 3 of 5 stars 4 of 5 stars 5 of 5 stars

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Ted Petrou's Blog

Convert Trapped Tables within PDFs to Pandas DataFrames

Pandas is the most popular Python data analysis library available today and can read in data directly from a wide variety of sources, including CSVs, Excel Workbooks, JSON files, SQL databases, parquet files, and even from your clipboard. Currently, there is no direct method using pandas to read in data trapped within a PDF file. Thankfully, the tabula-py library is available to read in these tabl