How to read long data science book
How to read long data science book
- Plan
- Set up the environment
- Budget and find time
- Compartmentalize schedule
- Prepare
- Capitalize your computer
- Use tools: Notion for annotation
- Stop linear reading
- Divide and Conquer: use hyper reading and social reading
- Hyper reading
- Social reading
1. Plan
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Set up the environment to get into flow
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Make a music playlist for focus
- Eliminate distractions
- Loud noises.
- Cluttered work areas.
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Set focus on your phone, close the room door
1. Plan
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Budget time
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The average reader will read 100 pages in 2.8 hours when reading at a speed of 300 words per minute (wpm) according to this website.
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For a 600-page book, about 17 hours.
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If split by a week, about 3-4 hours a day
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Find the best time of the day
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Right after class
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Early in the morning
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Late at night
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Worst: after food, before class
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2. Prepare
- Capitalize your computer
- Use tools: e.g. Notion for annotation
- Do not count on your short-term memory
- Jot notes, copy and paste notable paragraphs
- Build "reading" via creating notes
- Test out sample codes
- Copy sample programs and save in an R project
3. Stop linear reading
- Read the Table of Contents, mark the must-read chapters
- Introduction (2 hours)
- This gives you the budgeting information to finish the book, i.e. what the book is about, what to focus, which is most interesting
- Conclusion (1 hour)
- This gives you what to remember, then go back to find out why and how
- Pick and prioritize technical chapters most useful and applicable to you.
- Introduction (2 hours)
4.Hyper reading
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Use computer to read (not tablet or iPad) so you can read and type (jot notes)
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Learn James Sosnoski’s eight different hyper reading strategies:
- Filtering: a higher degree of selectivity
- Skimming: less text actually read
- Pecking: a less linear sequencing of passages read
- Imposing: less contextualization derived from the text and more from readerly intention
- Filming – more graphical elements than verbal elements of the text
- Trespassing: loosening of textual boundaries
- De-authorizing: lessening sense of authorship and authorly intention
- Fragmenting: breaking texts into notes rather than regarding them as essays, articles, or books
5. Social reading
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Social reading is a collaborative form of online reading that incorporates discussion into the reading process and turns it into a communal experience (e.g. Perusall).
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Set up reading group and discuss with members
Digital reading
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Visual reading --> Visual thinking
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Graphics!
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Read charts first
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Note the graphical elements
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OOD creates lobsters
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Take advantage of:
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Search function
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TOC and Reference list
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What you cite is what you get
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Audio functions
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# Reward after reading session
- Tune your brain into anticipating reward (e.g. ice cream, sports, hiking, play time with family, friends and pet)
