think python how to think like a computer scientist

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How To Think Like A Computer Scientist

Author : Allen Downey
ISBN : 0971677506
Genre : Computer programming
File Size : 77. 87 MB
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Here you'll find a short introduction to Logo as a general purpose programming language, as opposed to its limited educational use with turtle graphics. Logo is a simplified dialect of Lisp and retains much of the power of Lisp. It is thus suitable for such advanced projects such as artificial intelligence programming.

Think Python

Author : Allen B. Downey
ISBN : 9781491939413
Genre : Computers
File Size : 45. 29 MB
Format : PDF, Kindle
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If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. This second edition and its supporting code have been updated for Python 3. Through exercises in each chapter, you’ll try out programming concepts as you learn them. Think Python is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics. Beginners just getting their feet wet will learn how to start with Python in a browser. Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions, and data structures in a logical progression Discover how to work with files and databases Understand objects, methods, and object-oriented programming Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design, data structures, and GUI-based programs through case studies

How To Think Like A Computer Scientist

Author : Allen B. Downey
ISBN : 1441419055
Genre : Computers
File Size : 86. 49 MB
Format : PDF, ePub
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HOW TO THINK LIKE A COMPUTER SCIENTIST. * Published under the terms of the GNU Free Documentation License. Money raised from the sale of this book supports the development of free software and documentation.

Python For Software Design

Author : Allen B. Downey
ISBN : 9781139479226
Genre : Computers
File Size : 35. 87 MB
Format : PDF, ePub
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A no-nonsense introduction to software design using the Python programming language. Written for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practise each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises.

Think Stats

Author : Allen B. Downey
ISBN : 9781491907375
Genre : Computers
File Size : 87. 34 MB
Format : PDF, Docs
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If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Think Perl 6

Author : Laurent Rosenfeld
ISBN : 1491980559
Genre : Computers
File Size : 82. 30 MB
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If you want to learn how to program and think like a computer scientist, this practical guide will get you started on your programming journey with Perl 6, the new version of the popular programming language. Ideal for beginners, Think Perl 6 contains numerous exercises with multiple solutions and a lot of code examples. Even experienced programmers will learn a lot from this book, especially those familiar with Perl 5. It’s designed for teaching computer science to beginners in universities. Get up to speed on the basics of computer programming, especially the imperative or procedural techniques Learn the new multiparadigm Perl 6 language Delve into more advanced programming techniques, such as OO programming, declarative programming, grammars and functional programming

Think Complexity

Author : Allen B. Downey
ISBN : 9781449331696
Genre : Computers
File Size : 32. 84 MB
Format : PDF, Mobi
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Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations. You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get starter code and solutions to help you re-implement and extend original experiments in complexity Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics Examine case studies of complex systems submitted by students and readers

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