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    The Crystal Ball Instruction Manual by Davies, Stephen

    Published 2020
    Table of Contents: “…1 Introduction -- 2 A trip to Jupyter -- 3 Three kinds of atomic data -- 4 Memory pictures -- 5 Calculations -- 6 Scales of measure -- 7 Three kinds of aggregate data -- 8 Arrays in Python (1 of 2) -- 9 Arrays in Python (2 of 2) -- 10 Interpreting Data -- 11 Assoc. arrays in Python (1 of 3) -- 12 Assoc. arrays in Python (2 of 3) -- 13 Assoc. arrays in Python (3 of 3) -- 14 Loops -- 15 EDA: univariate -- 16 Tables in Python (1 of 3) -- 17 Tables in Python (2 of 3) -- 18 Tables in Python (3 of 3) -- 19 EDA: bivariate (1 of 2) -- 20 EDA: bivariate (2 of 2) -- 21 Branching -- 22 Functions (1 of 2) -- 23 Functions (2 of 2) -- 24 Recoding and transforming -- 25 Machine Learning: concepts -- 26 Classification: concepts -- 27 Decision trees (1 of 2) -- 28 Decision trees (2 of 2) -- 29 Evaluating a classifier…”
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    The Pilgrim's Guide to the Workplace by Chevez, Agustin

    Published 2022
    Table of Contents: “…-- Chapter 19 Winds -- Chapter 20 The perfect day -- Chapter 21 The very last step -- Chapter 22 Mind lag -- Part 4 Real steps, virtual pilgrimage -- Chapter 23 Virtual pilgrimage, real pain -- Chapter 24 Dconstructing pilgrimages -- Chapter 25 El Camino Sisyphus style -- Chapter 26 Postcard from Pamplona -- Chapter 27 66 loops -- Part 5 Laying paths -- Chapter 28 Following signposts -- Chapter 29 Fork on the road -- Chapter 30 The wisdom of the locals -- Chapter 31 Let's go! …”
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