Think Julia: How to Think Like a Computer Scientist

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Computers - Programming
Think Julia: How to Think Like a...

Think Julia: How to Think Like a Computer Scientist

Allen Downey, Ben Lauwens

4.0 / 3.0

ఈ పుస్తకం ఎంతగా నచ్చింది?

దింపుకొన్న ఫైల్ నాణ్యత ఏమిటి?

పుస్తక నాణ్యత అంచనా వేయడాలనుకుంటే దీన్ని దింపుకోండి

దింపుకొన్న ఫైళ్ళ నాణ్యత ఏమిటి?

వర్గాలు:

Computers - Programming

సంవత్సరం:

2019

ముద్రణం:

1

ప్రచురణకర్త:

O'Reilly Media

భాష:

english

పేజీల సంఖ్య:

298

ISBN 10:

1492045039

ISBN 13:

9781492045038

ఫైల్:

PDF, 12.90 MB

IPFS:

,

english, 2019

ఆన్‌లైన్‌లో చదవండి

కి మార్పిడి జరుగుతూ ఉంది.

కి మార్పిడి విఫలమైంది!

మీకు ఆసక్తిగా కనిపించ వచ్చు

Stack Overflow contributors — Learning Julia Language

The Julia Project — The Julia Language 1.6

Erik Engheim — Julia for Beginners

Lee Phillips — Practical Julia

Gerson J. Ferreira — Introduction to Computational Physics with examples in Julia programming language

Allen B. Downey — Modeling and simulation in Python

Zacharias Voulgaris PhD [Zacharias Voulgaris PhD] — Julia for Data Science

Karl Beecher — Computational Thinking: A Beginner’s Guide to Problem-Solving and Programming

Michael Metcalf, John Ker Reid, Malcolm Cohen — Modern Fortran Explained

Mykel J. Kochenderfer, Tim A. Wheeler — Algorithms for Optimization

Peter J. Denning, Matti Tedre — Computational Thinking

Robert Kowalski — Computational Logic and Human Thinking: How to be Artificially Intelligent

Bryan O'Sullivan, John Goerzen, Don Stewart — Real World Haskell

Allen Downey — Physical Modeling in MATLAB

Allen B. Downey, Jeffrey Elkner, Chris Meyers — How to Think Like a Computer Scientist - Learning with Python

JASON M. KINSER — Modeling and Simulation in Python

Julia Sloan — Learning to Think Strategically

Paul D. McNicholas, Peter A. Tait — Data Science with Julia

Stephen Boyd, Lieven Vandenberghe — Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

Allen B. Downey — Think Complexity: Complexity Science and Computational Modeling

Yaron Minsky, Anil Madhavapeddy, Jason Hickey — Real World OCaml: Functional programming for the masses

Richard Cotton — Learning R: A Step-by-Step Function Guide to Data Analysis

Allen B. Downey — Think Bayes: Bayesian Statistics in Python

Antonello Lobianco — Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming

Allen B. Downey, Chris Mayfield — Think Java: How to Think Like a Computer Scientist

Allen B. Downey — Think Python, 2nd Edition: How to Think Like a Computer Scientist

Randal L. Schwartz, brian d foy, Tom Phoenix — Learning Perl: Making Easy Things Easy and Hard Things Possible, 7th Edition

Allen B. Downey — Think Data Structures: Algorithms and Information Retrieval in Java

Julia Silge, David Robinson — Text Mining with R

Allen B. Downey — Think Complexity: Complexity Science and Computational Modeling

Allen B. Downey, Ben Lauwens — Think Julia: How to Think Like a Computer Scientist 1st Edition

Luk Arbuckle, Khaled El Emam — Building an Anonymization Pipeline: Creating Safe Data

Allen B. Downey — Think Java How to Think Like a Computer Scientist 2nd Edition

Hattingh, Caleb — Using Asyncio in Python: Understanding Python's Asynchronous Programming Features

Allen B. Downey — Think Bayes: Bayesian Statistics in Python

Joshua B. Smith — Practical OCaml

Tobin A. Driscoll, Richard J. Braun — Fundamentals of Numerical Computation

Eric Darve and Mary Wootters — Numerical Linear Algebra with Julia

Erik Engheim — Julia as a Second Language (MEAP v03)

Bogumil Kaminski; [Bogumił Kamiński] — Julia for Data Analysis

Ivo Balbaert — Getting Started with Julia Programming

Malcolm Sherrington — Mastering Julia

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