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POST YOUR BEST TEXTBOOKS : :marseydab: :marseyreading: :marseychemist:

For math I have some stuff I had my old tutor recommended me.

Undergraduate Core:

A Concise Introduction to Pure Mathematics (Martin Liebeck) -

Analysis I (Terrence Tao) -

Linear Algebra Done Right (Axler)

A Book of Abstract Algebra (Pinter)

Introduction to Metric & Topological Spaces (Sutherland)

Analysis II (Terrence Tao)

Princeton Lectures Book 2 - Complex Analysis (Stein & Shakarchi)

Undergrad Extras:

An Infinitely Large Napkin (Evan Chen) - A rapid introduction to many fields of math at the undergraduate and graduate level. Heavily recommend supplementing the undergrad core reading with this.

An Invitation to Ergodic Theory (Silva) -

A sampling of Remarkable Groups (Bonanone et al.) -

Lectures on Fractal Geometry and Dynamical Systems (Pesin and Climenhaga) -

Geometric Group Theory (Loh) - An introduction to the study of groups using geometric/metric techniques.

The Knot Book (Colins) - A very informal introduction to knot theory.

Ramsey Theory on the Integers (Landman and Robertson)

Graduate Core:

Algebra Ch. 0 (Aluffi) - Graduate level Algebra.

An introduction to Measure Theory (Tao) or Measure Theory, Integration and Hilbert spaces (Stein and Shakarchi) - Graduate level real analysis, part 1.

An Epsilon of Room (Tao) - Graduate level real analysis part 2. Includes more on measures and some functional analysis.

Vector Analysis (Janich) or An introduction to manifolds (Tu) - Smooth manifolds.

Linear Analysis (Bella Bollobas) - Functional analysis.

Algebraic Topology (Munkres)

Topology from the Differentiable Viewpoint (Milnor) - Differential topology.

Graduate Extras:

Probability Essentials (Jacod & Protter) - Has measure theory as a prerequisite.

Brownian Motion, Martingales and Stochastic Calculus (Le Gall) - Stochastic processes & calculus. Has measure theoretic probability and functional analysis as a prerequisite.

Princeton Lectures Book 1 and 4 (Stein & Shakarchi) - 1 covers

Introduction to Dynamical Systems (Brin and Stuck) - General overview of dynamical systems, highly recommended.

Introduction to the Modern Theory of Dynamical Systems (Katok Hasselblatt) - Super in depth treatment of dynamical systems, good follow up to the above.

Introduction to 3-Manifolds (Jennifer Schultens) -

Introduction to Riemannian Geometry (Lee) -

An Introduction to Lie Groups and the Geometry of Homogeneous Spaces (Arvanitoyeorgos) - Lie theory.

Measure Theory and Fine Properties of Functions (Evans & Gariepy) -

Ergodic Theory with a view towards Number theory (Ward) -

Morse Theory (Milnor)

Differential Forms in Algebraic Topology (Bott and Tu)

For CHEMISTRY :marsey:

A Primer of Drug Action, R.M. Julien, 13th ed., by Claire D. Advokat

Katzung, Bertram G., Masters, Susan B., and Trevor, Anthony J. Basic & Clinical Pharmacology, 12th edition. McGraw-Hill Profess. .

Undergraduate

Organic: Organic Chemistry as a Second Language, The art of writing reasonable organic reaction mechanisms

Inorganic: Inorganic Chemistry, Molecular Symmetry and Group Theory

Analytical: Principles of Instrumental Anlsysis, Fundamentals of Analytical Chemistry

Graduate

Organic: Advanced Practical Organic Chemistry, March's Advanced Organic Chemistry, Greene's Protective Groups in Organic Synthesis, Purification of Laboratory Chemicals, Strategic Applications of Named Reactions in Organic Synthesis

Inorganic: Advanced Inorganic Chemistry.

!bookworms :marseywave2:

40
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!codecels r8 my list

Programming/Software Engineering:

  • Automate the Boring Stuff with Python

  • Structure and Interpretation of Computer Programs

  • Software Design for Flexiblity

  • How to Design Programs (Never read this one, but heard it was good)

Specific Programming Languages

  • Practical Common Lisp

  • Real World OCaml

  • The Little Schemer

  • Learn You a Haskell

  • JavaScript: The Good Parts

Programming Language Implementation

  • Lisp In Small Pieces

  • Crafting Interpreters

  • Modern Compiler Implementation in ML

  • Engineering a Compiler

  • The Elements of Computing Systems

Programming Language Theory

  • The Little Typer

  • The Power of Prolog

  • The Reasoned Schemer

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You remind me of my friendly neighborhood sysadmin neurodivergent. That you, Kyle? :marseysus:

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:#marseyglow2:

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JavaScript: The Good Parts

https://i.rdrama.net/images/16899669704255242.webp

!codecels amiright or amiright :marseysm#ug2:


:#marsey:

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u right :marseysmug2:

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I don't really mind Javascript but I have had moments where I understand why people seethe at it.

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I love JavaScript, causes so much seethe, I use it for all my scripting cause it's easier to write than python.


:#marseyviewerstaretalking:

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I use Jython


:#marsey:

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:marseycringe: just use java


:#marseyviewerstaretalking:

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no, Jython causes seethe w/ the name alone.


:#marsey:

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Java is for cute twinks

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Even though it gets literally everything else wrong, JS was still the first popular language to implement closures. :marseyshrug:

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:#marseysmug5: :#marseythumbsup:

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Automate the Boring Stuff with Python

I use Node/JS for this

:marseyneko:

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Learn You a Haskell

He fell for the meme :marseylaughpoundfist:

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Is Haskell in general a meme or just that book? IMO learning Haskell is worth it just for using at job interviews to intimidate potential employers

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generallly speaking just a meme, its not really used in the grand scheme even though its heavily advocated by fp fans

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Learn You a Haskell

Not a fan of this book. Not practical enough for complete beginners to haskell (it's a lot of simple exercises) and not deep enough for anyone who knows what a functor is.

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People aren't learning Haskell as a 'get shit done' language - it should be about showing off the strong points of the language, which is its concision and new way of thinking. If you know what a functor is before you read it then the book's not for you

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python

discarded

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I agree with this list

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Automate the Boring Stuff with Python

Seconded

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