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DDC 005.1
J 44
Jesús, Sofía De.
Applied Computational Thinking with Python [[electronic resource] :] : Design Algorithmic Solutions for Complex and Challenging Real-World Problems. / Sofía De. Jesús, Martinez, Dayrene. - Birmingham : : Packt Publishing, Limited,, 2020. - 1 online resource (420 p.). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4EFD77A3-7336-49FD-8452-766E1986988A
. - ISBN 9781839216763. - ISBN 183921676X
Description based upon print version of record.
Параллельные издания: Print version: : Jesús, Sofía De Applied Computational Thinking with Python : Design Algorithmic Solutions for Complex and Challenging Real-World Problems. - Birmingham : Packt Publishing, Limited,c2020. - ISBN 9781839219436
Содержание:
Cover -- Title Page -- Copyright and Credits -- Dedicated -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to Computational Thinking -- Chapter 1: Fundamentals of Computer Science -- Technical requirements -- Introduction to computer science -- Learning about computers and the binary system -- Understanding theoretical computer science -- Algorithms -- Coding theory -- Computational biology -- Data structures -- Information theory -- Automata theory -- Formal language theory -- Symbolic computation -- Computational geometry
Computational number theory -- Learning about a system's software -- Operating systems -- Application software -- Understanding computing -- Architecture -- Programming languages -- Learning about data types and structures -- Data types -- Data structures -- Summary -- Chapter 2: Elements of Computational Thinking -- Technical requirements -- Understanding computational thinking -- Problem 1 -- Conditions -- Decomposing problems -- Recognizing patterns -- Problem 2 -- Mathematical algorithms and generalization -- Generalizing patterns -- Designing algorithms -- Additional problems
Problem 2 -- Children's soccer party -- Problem 3 -- Savings and interest -- Summary -- Chapter 3: Understanding Algorithms and Algorithmic Thinking -- Technical requirements -- Defining algorithms in depth -- Algorithms should be clear and unambiguous -- Algorithms should have inputs and outputs that are well defined -- Algorithms should have finiteness -- Algorithms have to be feasible -- Algorithms are language-independent -- Designing algorithms -- Problem 1 -- An office lunch -- Problem 2 -- A catering company -- Analyzing algorithms -- Algorithm analysis 1 -- States and capitals
Algorithm analysis 2 -- Terminating or not terminating? -- Summary -- Chapter 4: Understanding Logical Reasoning -- Technical requirements -- Understanding the importance of logical reasoning -- Applying inductive reasoning -- Applying deductive reasoning -- Using Boolean logic and operators -- The and operator -- The or operator -- The not operator -- Identifying logic errors -- Summary -- Chapter 5: Exploring Problem Analysis -- Technical requirements -- Understanding the problem definitions -- Problem 5A -- Building an online store -- Learning to decompose problems
Converting the flowchart into an algorithm -- Analyzing problems -- Problem 5B -- Analyzing a simple game problem -- Summary -- Chapter 6: Designing Solutions and Solution Processes -- Technical requirements -- Designing solutions -- Problem 1 -- A marketing survey -- Diagramming solutions -- Creating solutions -- Problem 2 -- Pizza order -- Problem 3 -- Delays and Python -- Summary -- Chapter 7: Identifying Challenges within Solutions -- Technical requirements -- Identifying errors in algorithm design -- Syntax errors -- Errors in logic -- Debugging algorithms -- Comparing solutions
Problem 1 -- Printing even numbers
Рубрики: Computer algorithms.
Python (Computer program language)
Algorithms.
Algorithmes.
Python (Langage de programmation)
algorithms.
Object-oriented programming (OOP).
Programming & scripting languages: general.
Computer science.
Computers--Computer Science.
Computers--Programming--Object Oriented.
Computers--Programming Languages--Python.
Computer algorithms.
Python (Computer program language)
Аннотация: Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.
Доп.точки доступа:
Martinez, Dayrene.