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  • Online Resource  (30)
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  • 1
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Parallel Title: Erscheint auch als
    Keywords: Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: 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 one step at a time, beginning with basic programming concepts before moving on to functions, recursion, data structures, and object-oriented design. Through exercises in each chapter, you'll try out programming concepts as you learn them.
    Note: Includes index. - Description based on print version record
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  • 2
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (xi, 142 p.) , ill.
    Edition: 1st ed.
    Parallel Title: Erscheint auch als
    Keywords: Python (Computer program language) ; Computational complexity ; Electronic books ; Electronic books ; local
    Abstract: 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.
    Note: "Exploring complexity sicence with Python"--Cover.[. - Includes bibliographical references (p. 133-134) and index. - Description based on print version record
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  • 3
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly
    Language: English
    Pages: 1 online resource (xiii, 119 p.) , ill.
    Edition: 1st ed.
    Keywords: Statistics ; Study and teaching ; Statistics ; Computer programs ; Electronic books ; lcgft ; Electronic books ; local
    Abstract: Think Stats: Probability and Statistics for Programmers is a textbook for a new kind of introductory prob-stat class. It emphasizes the use of statistics to explore large datasets. It takes a computation approach: students write programs in Python as a way of developing and testing their understanding.
    Note: Includes index
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  • 4
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly
    Language: English
    Pages: 1 online resource (1 v.) , ill.
    Keywords: Bayesian statistical decision theory ; Electronic books ; Electronic books ; local
    Abstract: If you know how to program with Python, and know a little about probability, you're ready to tackle Bayesian statistics. This book shows you how to use Python code instead of math to help you learn Bayesian fundamentals. Once you get the math out of the way, you'll be able to apply these techniques to real-world problems.
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed Nov. 12, 2013)
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  • 5
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media
    ISBN: 9781491938324
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 30 min., 10 sec.)) , digital, sound, color
    Keywords: ANACONDA (Electronic resource) ; Quantitative research ; Computer programs ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "If you're a fledgling data scientist with only cursory statistical training and little experience with real world data sets, you may feel like you're stumbling around in the dark when you're asked to interpret and present data to decision makers. How do you validate the data? What analytic model should you use? How do you differentiate between correlation and causation? How do you ensure that your data is solid and your conclusions are on target? Allen Downey, Professor of Computer Science at Olin College of Engineering, author of Think Stats, Think Python, and Think Complexity, provides safe passage around the common pitfalls of exploratory data analysis, so you can manage, analyze, and present data with confidence."--Resource description page.
    Note: Title from resource description page (viewed December 3, 2015)
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  • 6
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Perl (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: Want to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Perl 6, the younger sister of the popular Perl programming language. Ideal for beginners, this hands-on book includes over 100 exercises with multiple solutions, and more than 1,000 code examples so you can quickly practice what you learn. Experienced programmers-especially those who know Perl 5-will also benefit. Divided into two parts, Think Perl 6 starts with basic concepts that every programmer needs to know, and then focuses on different programming paradigms and some more advanced programming techniques. With two semesters' worth of lessons, this book is the perfect teaching tool for computer science beginners in colleges and universities. Learn basic concepts including variables, expressions, statements, functions, conditionals, recursion, and loops Understand commonly used basic data structures and the most useful algorithms Dive into object-oriented programming, and learn how to construct your own types and methods to extend the language Use grammars and regular expressions to analyze textual content Explore how functional programming can help you make your code simpler and more expressive
    Note: Includes index. - Description based on online resource; title from title page (viewed May 12, 2017)
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  • 7
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Parallel Title: Erscheint auch als Lauwens, Ben Think Julia
    DDC: 005.73
    RVK:
    Keywords: Julia (Computer program language) ; Dynamic programming ; Electronic books ; Electronic books ; local ; Julia
    Abstract: If you're just learning how to program, Julia is an excellent JIT-compiled, dynamically typed language with a clean syntax. This hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch. Designed from the beginning for high performance, Julia is a general-purpose language ideal for not only numerical analysis and computational science but also web programming and scripting. Through exercises in each chapter, you'll try out programming concepts as you learn them. Think Julia is perfect for students at the high school or college level as well as self-learners and professionals who need to learn programming basics. 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 types, methods, and multiple dispatch Use debugging techniques to fix syntax, runtime, and semantic errors Explore interface design and data structures through case studies
    Note: Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed April 15, 2019)
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  • 8
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Signal processing ; Digital techniques ; Electric filters, Digital ; Electronic books ; Electronic books ; local
    Abstract: If you understand basic mathematics and know how to program with Python, you're ready to dive into signal processing. While most resources start with theory to teach this complex subject, this practical book introduces techniques by showing you how they're applied in the real world. In the first chapter alone, you'll be able to decompose a sound into its harmonics, modify the harmonics, and generate new sounds. Author Allen Downey explains techniques such as spectral decomposition, filtering, convolution, and the Fast Fourier Transform. This book also provides exercises and code examples to help you understand the material.
    Note: Includes index. - Description based on online resource; title from title page (viewed July 22, 2016)
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  • 9
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition.
    Keywords: Java (Computer program language) ; Computer programming ; Electronic books ; Electronic books ; local
    Abstract: Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You'll learn how to program-a useful skill by itself-but you'll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you've learned.
    Note: Includes index. - Description based on online resource; title from title page (Safari, viewed May 23, 2016)
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Helion | Boston, MA : Safari
    Language: English , Polish
    Pages: 1 online resource (264 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Aby stać się cenionym programistą, trzeba zacząć od bardzo solidnych podstaw. Python jest idealną propozycją dla osób, które chcą nauczyć się programowania. Składnia i podstawowe koncepcje programistyczne w Pythonie są dość proste do zrozumienia. Sam język ma duże możliwości zastosowania w różnych dziedzinach wiedzy. Umożliwia przy tym pisanie czytelnego i łatwego w konserwacji kodu, co jest ogromną zaletą. Trzymasz w ręku praktyczny przewodnik do nauki programowania. Znajdziesz w nim przystępnie napisane wyjaśnienia dotyczące podstawowych pojęć programistycznych. Dowiesz się, jak stosować funkcje, czym jest rekurencja, jak wyglądają struktury danych i na czym polega projektowanie obiektowe. W każdym rozdziale znalazły się praktyczne ćwiczenia, dzięki którym będziesz używać poznawanych koncepcji i utrwalisz zdobytą wiedzę. W tej książce: przedstawiono podstawy Pythona, w tym jego składnię i semantykę opisano najważniejsze koncepcje programistyczne i zdefiniowano istotne pojęcia pokazano, jak stosować wartości, zmienne, instrukcje, funkcje i struktury danych przedstawiono metody pracy z plikami i bazami danych wyjaśniono zagadnienia programowania obiektowego opisano techniki debugowania służące do usuwania błędów składniowych, uruchomieniowych i semantycznych Python: dzięki niemu zaczniesz myśleć jak informatyk!
    Note: Online resource; Title from title page (viewed February 6, 2017) , Mode of access: World Wide Web.
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