<p> Summary </p> <p> Get Programming: Learn to code with Python introduces you to the world of writing computer programs without drowning you in confusing jargon or theory that make getting started harder than it should be. Filled with practical examples and step-by-step lessons using the easy-on-the-brain Python language, this book will get you programming in no time!</p> <p>Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.</p> <p> About the Technology </p> <p>Let''s face it. The only way to learn computer programming is to do it. Whether you want to skill up for your next job interview or just get a few pet projects done, programming can be an amazing tool. This book is designed especially for beginners, helping them learn to program hands on, step by step, project by project. It''s time to get programming!</p> <p> About the Book </p> <p> Get Programming: Learn to code with Python teaches you the basics of computer programming using the Python language. In this exercise-driven book, you''ll be doing something on nearly every page as you work through 38 compact lessons and 7 engaging capstone projects. By exploring the crystal-clear illustrations, exercises that check your understanding as you go, and tips for what to try next, you''ll start thinking like a programmer in no time.</p> <p> What''s Inside </p> Programming skills you can use in any language Learn to code-no experience required Learn Python, the language for beginners Dozens of exercises and examples help you learn by doing <p> About the Reader </p> <p>No prior programming experience needed..</p> <p> About the Author </p> <p> Ana Bell is an MIT lecturer and scientist who teaches the popular course, Introduction to Computer Science and Programming Using Python.</p> <p> Table of Contents </p> LEARNING HOW TO PROGRAM Lesson 1 - Why should you learn how to program? Lesson 2 - Basic principles of learning a programming language UNIT 1 - VARIABLES, TYPES, EXPRESSIONS, AND STATEMENTS Lesson 3 - Introducing Python: a programming language Lesson 4 - Variables and expressions: giving names and values to things Lesson 5 - Object types and statements of code 46 Lesson 6 - Capstone project: your first Python program-convert hours to minutes UNIT 2 - STRINGS, TUPLES, AND INTERACTING WITH THE USER Lesson 7 - Introducing string objects: sequences of characters Lesson 8 - Advanced string operations Lesson 9 - Simple error messages Lesson 10 - Tuple objects: sequences of any kind of object Lesson 11 - Interacting with the user Lesson 12 - Capstone project: name mashup UNIT 3 - MAKING DECISIONS IN YOUR PROGRAMS Lesson 13 - Introducing decisions in programs Lesson 14 - Making more-complicated decisions Lesson 15 - Capstone project: choose your own adventure UNIT 4 - REPEATING TASKS Lesson 16 - Repeating tasks with loops Lesson 17 - Customizing loops Lesson 18 - Repeating tasks while conditions hold Lesson 19 - Capstone project: Scrabble, Art Edition UNIT 5 - ORGANIZING YOUR CODE INTO REUSABLE BLOCKS Lesson 20 - Building programs to last Lesson 21 - Achieving modularity and abstraction with functions Lesson 22 - Advanced operations with functions Lesson 23 - Capstone project: analyze your friends UNIT 6 - WORKING WITH MUTABLE DATA TYPES Lesson 24 - Mutable and immutable objects Lesson 25 - Working with lists Lesson 26 - Advanced operations with lists Lesson 27 - Dictionaries as maps between objects Lesson 28 - Aliasing and copying lists and dictionaries Lesson 29 - Capstone project: document similarity UNIT 7 - MAKING YOUR OWN OBJECT TYPES BY USING OBJECT-ORIENTED PROGRAMMING Lesson 30 - Making your own object types Lesson 31 - Creating a class for an object type Lesson 32 - Working with your own object types Lesson 33 - Customizing classes Lesson 34 - Capstone project: card game UNIT 8 - USING LIBRARIES TO ENHANCE YOUR PROGRAMS Lesson 35 - Useful libraries Lesson 36 - Testing and debugging your programs Lesson 37 - A library for graphical user interfaces Lesson 38 - Capstone project: game of tag <br> <br> Appendix A - Answers to lesson exercises Appendix B - Python cheat sheet Appendix C - Interesting Python libraries Summary hebis

@book{bell2017programming, author = {Bell, Ana}, title = {Get programming : learn to code with Python}, publisher = {Manning}, address = {Greenwich}, year = {2017}, isbn = {9781617293788}, keywords = {python}, abstract = {<p> Summary </p> <p> Get Programming: Learn to code with Python introduces you to the world of writing computer programs without drowning you in confusing jargon or theory that make getting started harder than it should be. Filled with practical examples and step-by-step lessons using the easy-on-the-brain Python language, this book will get you programming in no time!</p> <p>Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.</p> <p> About the Technology </p> <p>Let''s face it. The only way to learn computer programming is to do it. Whether you want to skill up for your next job interview or just get a few pet projects done, programming can be an amazing tool. This book is designed especially for beginners, helping them learn to program hands on, step by step, project by project. It''s time to get programming!</p> <p> About the Book </p> <p> Get Programming: Learn to code with Python teaches you the basics of computer programming using the Python language. In this exercise-driven book, you''ll be doing something on nearly every page as you work through 38 compact lessons and 7 engaging capstone projects. By exploring the crystal-clear illustrations, exercises that check your understanding as you go, and tips for what to try next, you''ll start thinking like a programmer in no time.</p> <p> What''s Inside </p> Programming skills you can use in any language Learn to code--no experience required Learn Python, the language for beginners Dozens of exercises and examples help you learn by doing <p> About the Reader </p> <p>No prior programming experience needed..</p> <p> About the Author </p> <p> Ana Bell is an MIT lecturer and scientist who teaches the popular course, Introduction to Computer Science and Programming Using Python.</p> <p> Table of Contents </p> LEARNING HOW TO PROGRAM Lesson 1 - Why should you learn how to program? Lesson 2 - Basic principles of learning a programming language UNIT 1 - VARIABLES, TYPES, EXPRESSIONS, AND STATEMENTS Lesson 3 - Introducing Python: a programming language Lesson 4 - Variables and expressions: giving names and values to things Lesson 5 - Object types and statements of code 46 Lesson 6 - Capstone project: your first Python program-convert hours to minutes UNIT 2 - STRINGS, TUPLES, AND INTERACTING WITH THE USER Lesson 7 - Introducing string objects: sequences of characters Lesson 8 - Advanced string operations Lesson 9 - Simple error messages Lesson 10 - Tuple objects: sequences of any kind of object Lesson 11 - Interacting with the user Lesson 12 - Capstone project: name mashup UNIT 3 - MAKING DECISIONS IN YOUR PROGRAMS Lesson 13 - Introducing decisions in programs Lesson 14 - Making more-complicated decisions Lesson 15 - Capstone project: choose your own adventure UNIT 4 - REPEATING TASKS Lesson 16 - Repeating tasks with loops Lesson 17 - Customizing loops Lesson 18 - Repeating tasks while conditions hold Lesson 19 - Capstone project: Scrabble, Art Edition UNIT 5 - ORGANIZING YOUR CODE INTO REUSABLE BLOCKS Lesson 20 - Building programs to last Lesson 21 - Achieving modularity and abstraction with functions Lesson 22 - Advanced operations with functions Lesson 23 - Capstone project: analyze your friends UNIT 6 - WORKING WITH MUTABLE DATA TYPES Lesson 24 - Mutable and immutable objects Lesson 25 - Working with lists Lesson 26 - Advanced operations with lists Lesson 27 - Dictionaries as maps between objects Lesson 28 - Aliasing and copying lists and dictionaries Lesson 29 - Capstone project: document similarity UNIT 7 - MAKING YOUR OWN OBJECT TYPES BY USING OBJECT-ORIENTED PROGRAMMING Lesson 30 - Making your own object types Lesson 31 - Creating a class for an object type Lesson 32 - Working with your own object types Lesson 33 - Customizing classes Lesson 34 - Capstone project: card game UNIT 8 - USING LIBRARIES TO ENHANCE YOUR PROGRAMS Lesson 35 - Useful libraries Lesson 36 - Testing and debugging your programs Lesson 37 - A library for graphical user interfaces Lesson 38 - Capstone project: game of tag <br> <br> Appendix A - Answers to lesson exercises Appendix B - Python cheat sheet Appendix C - Interesting Python libraries Summary hebis} }

%0 = book %A = Bell, Ana %C = Greenwich %D = 2017 %I = Manning %T = Get programming : learn to code with Python

Power laws are theoretically interesting probability distributions that are
so frequently used to describe empirical data. In recent years effective
atistical methods for fitting power laws have been developed, but appropriate
e of these techniques requires significant programming and statistical
sight. In order to greatly decrease the barriers to using good statistical
thods for fitting power law distributions, we developed the powerlaw Python
ckage. This software package provides easy commands for basic fitting and
atistical analysis of distributions. Notably, it also seeks to support a
riety of user needs by being exhaustive in the options available to the user.
e source code is publicly available and easily extensible.

@misc{alstott2013powerlaw, author = {Alstott, Jeff and Bullmore, Ed and Plenz, Dietmar}, title = {Powerlaw: a Python package for analysis of heavy-tailed distributions}, year = {2013}, note = {cite arxiv:1305.0215Comment: 18 pages, 6 figures, code and supporting information at https://github.com/jeffalstott/powerlaw and https://pypi.python.org/pypi/powerlaw}, url = {http://arxiv.org/abs/1305.0215}, doi = {10.1371/journal.pone.0085777}, keywords = {distribution, fit, powerlaw, python}, abstract = {Power laws are theoretically interesting probability distributions that arealso frequently used to describe empirical data. In recent years effectivestatistical methods for fitting power laws have been developed, but appropriateuse of these techniques requires significant programming and statisticalinsight. In order to greatly decrease the barriers to using good statisticalmethods for fitting power law distributions, we developed the powerlaw Pythonpackage. This software package provides easy commands for basic fitting andstatistical analysis of distributions. Notably, it also seeks to support avariety of user needs by being exhaustive in the options available to the user.The source code is publicly available and easily extensible.} }

%0 = misc %A = Alstott, Jeff and Bullmore, Ed and Plenz, Dietmar %B = } %C = %D = 2013 %I = %T = Powerlaw: a Python package for analysis of heavy-tailed distributions} %U = http://arxiv.org/abs/1305.0215

@book{beazley2009python, author = {Beazley, David M.}, title = {Python : essential reference}, series = {Devoloper's library}, publisher = {Addison-Wesley}, address = {Upper Saddle River, NJ [u.a.]}, year = {2009}, edition = {4. ed.}, url = {http://www.ulb.tu-darmstadt.de/tocs/208355014.pdf}, isbn = {9780672329784}, keywords = {python, programming} }

%0 = book %A = Beazley, David M. %C = Upper Saddle River, NJ [u.a.] %D = 2009 %I = Addison-Wesley %T = Python : essential reference %U = http://www.ulb.tu-darmstadt.de/tocs/208355014.pdf

@book{beazley2009python, author = {Beazley, David M.}, title = {Python : essential reference}, series = {Devoloper's library}, publisher = {Addison-Wesley}, address = {Upper Saddle River, NJ [u.a.]}, year = {2009}, edition = {4. ed.}, url = {http://www.ulb.tu-darmstadt.de/tocs/208355014.pdf}, isbn = {9780672329784}, keywords = {programming, python, skript} }

%0 = book %A = Beazley, David M. %C = Upper Saddle River, NJ [u.a.] %D = 2009 %I = Addison-Wesley %T = Python : essential reference %U = http://www.ulb.tu-darmstadt.de/tocs/208355014.pdf