Call number:
AWI S4-18-91822
In:
Texts in computational science and engineering, 6
Type of Medium:
Monograph available for loan
Pages:
XXXI, 922Seiten
,
Illustrationen, graphische Darstellungen
Edition:
Fifth edition
ISBN:
9783662498873
,
9783662498866
Series Statement:
Texts in computational science and engineering 6
URL:
https://d-nb.info/1088778992/04
DOI:
10.1007/978-3-662-49887-3
Language:
English
Note:
Contents:
1 Computing with Formulas. -
1.1 The First Programming Encounter: a Formula. -
1.1.1 Using a Program as a Calculator. -
1.1.2 About Programs and Programming. -
1.1.3 Tools for Writing Programs. -
1.1.4 Writing and Running Your First Python Program. -
1.1.5 Warning About Typing Program Text. -
1.1.6 Verifying the Result. -
1.1.7 Using Variables. -
1.1.8 Names of Variables. -
1.1.9 Reserved Words in Python. -
1.1.10 Comments. -
1.1.11 Formatting Text and Numbers. -
1.2 Computer Science Glossary. -
1.3 Another Formula: Celsius-Fahrenheit Conversion. -
1.3.1 Potential Error: Integer Division. -
1.3.2 Objects in Python. -
1.3.3 Avoiding Integer Division. -
1.3.4 Arithmetic Operators and Precedence. -
1.4 Evaluating Standard Mathematical Functions. -
1.4.1 Example: Using the Square Root Function. -
1.4.2 Example: Computing with sinh x. -
1.4.3 A First Glimpse of Rounding Errors. -
1.5 Interactive Computing. -
1.5.1 Using the Python Shell. -
1.5.2 Type Conversion. -
1.5.3 IPython. -
1.6 Complex Numbers. -
1.6.1 Complex Arithmetics in Python. -
1.6.2 Complex Functions in Python. -
1.6.3 Unified Treatment of Complex and Real Functions. -
1.7 Symbolic Computing. -
1.7.1 Basic Differentiation and Integration. -
1.7.2 Equation Solving. -
1.7.3 Taylor Series and More. -
1.8 Summary. -
1.8.1 Chapter Topics. -
1.8.2 Example: Trajectory of a Ball. -
1.8.3 About Typesetting Conventions in This Book. -
1.9 Exercises. -
2 Loops and Lists. -
2.1 While Loops. -
2.1.1 A Naive Solution. -
2.1.2 While Loops. -
2.1.3 Boolean Expressions. -
2.1.4 Loop Implementation of a Sum. -
2.2 Lists. -
2.2.1 Basic List Operations. -
2.2.2 For Loops. -
2.3 Alternative Implementations with Lists and Loops. -
2.3.1 While Loop Implementation of a for Loop. -
2.3.2 The Range Construction. -
2.3.3 For Loops with List Indices. -
2.3.4 Changing List Elements. -
2.3.5 List Comprehension. -
2.3.6 Traversing Multiple Lists Simultaneously. -
2.4 Nested Lists. -
2.4.1 A table as a List of Rows or Columns. -
2.4.2 Printing Objects. -
2.4.3 Extracting Sublists. -
2.4.4 Traversing Nested Lists. -
2.5 Tuples. -
2.6 Summary. -
2.6.1 Chapter Topics. -
2.6.2 Example: Analyzing List Data. -
2.6.3 How to Find More Python Information. -
2.7 Exercises. -
3 Functions and Branching. -
3.1 Functions. -
3.1.1 Mathematical Functions as Python Functions. -
3.1.2 Understanding the Program Flow. -
3.1.3 Local and Global Variables. -
3.1.4 Multiple Arguments. -
3.1.5 Function Argument or Global Variable?. -
3.1.6 Beyond Mathematical Functions. -
3.1.7 Multiple Return Values. -
3.1.8 Computing Sums. -
3.1.9 Functions with No Return Values. -
3.1.10 Keyword Arguments. -
3.1.11 Doc Strings. -
3.1.12 Functions as Arguments to Functions. -
3.1.13 The Main Program. -
3.1.14 Lambda Functions. -
3.2 Branching. -
3.2.1 If-else Blocks. -
3.2.2 Inline if Tests. -
3.3 Mixing Loops, Branching, and Functions in Bioinformatics Examples. -
3.3.1 Counting Letters in DNA Strings. -
3.3.2 Efficiency Assessment. -
3.3.3 Verifying the Implementations. -
3.4 Summary. -
3.4.1 Chapter Topics. -
3.4.2 Example: Numerical Integration. -
3.5 Exercises. -
4 User Input and Error Handling. -
4.1 Asking Questions and Reading Answers. -
4.1.1 Reading Keyboard Input. -
4.2 Reading from the Command Line. -
4.2.1 Providing Input on the Command Line. -
4.2.2 A Variable Number of Command-Line Arguments. -
4.2.3 More on Command-Line Arguments. -
4.3 Turning User Text into Live Objects. -
4.3.1 The Magic Eval Function. -
4.3.2 The Magic Exec Function. -
4.3.3 Turning String Expressions into Functions. -
4.4 Option-Value Pairs on the Command Line. -
4.4.1 Basic Usage of the Argparse Module. -
4.4.2 Mathematical Expressions as Values. -
4.5 Reading Data from File. -
4.5.1 Reading a File Line by Line. -
4.5.2 Alternative Ways of Reading a File. -
4.5.3 Reading a Mixture of Text and Numbers. -
4.6 Writing Data to File. -
4.6.1 Example: Writing a Table to File. -
4.6.2 Standard Input and Output as File Objects. -
4.6.3 What is a File, Really?. -
4.7 Handling Errors. -
4.7.1 Exception Handling. -
4.7.2 Raising Exceptions. -
4.8 A Glimpse of Graphical User Interfaces. -
4.9 Making Modules. -
4.9.1 Example: Interest on Bank Deposits. -
4.9.2 Collecting Functions in a Module File. -
4.9.3 Test Block. -
4.9.4 Verification of the Module Code. -
4.9.5 Getting Input Data. -
4.9.6 Doc Strings in Modules. -
4.9.7 Using Modules. -
4.9.8 Distributing Modules. -
4.9.9 Making Software Available on the Internet. -
4.10 Making Code for Python 2 and 3. -
4.10.1 Basic Differences Between Python 2 and 3. -
4.10.2 Turning Python 2 Code into Python 3 Code. -
4.11 Summary. -
4.11.1 Chapter Topics. -
4.11.2 Example: Bisection Root Finding. -
4.12 Exercises. -
5 Array Computing and Curve Plotting. -
5.1 Vectors. -
5.1.1 The Vector Concept. -
5.1.2 Mathematical Operations on Vectors. -
5.1.3 Vector Arithmetics and Vector Functions. -
5.2 Arrays in Python Programs. -
5.2.1 Using Lists for Collecting Function Data. -
5.2.2 Basics of Numerical Python Arrays. -
5.2.3 Computing Coordinates and Function Values. -
5.2.4 Vectorization. -
5.3 Curve Plotting. -
5.3.1 MATLAB-Style Plotting with Matplotlib. -
5.3.2 Matplotlib; Pyplot Prefix. -
5.3.3 SciTools and Easyviz. -
5.3.4 Making Animations. -
5.3.5 Making Videos. -
5.3.6 Curve Plots in Pure Text. -
5.4 Plotting Difficulties. -
5.4.1 Piecewisely Defined Functions. -
5.4.2 Rapidly Varying Functions. -
5.5 More Advanced Vectorization of Functions. -
5.5.1 Vectorization of StringFunction Objects. -
5.5.2 Vectorization of the Heaviside Function. -
5.5.3 Vectorization of a Hat Function. -
5.6 More on Numerical Python Arrays. -
5.6.1 Copying Arrays. -
5.6.2 In-Place Arithmetics. -
5.6.3 Allocating Arrays. -
5.6.4 Generalized Indexing. -
5.6.5 Testing for the Array Type. -
5.6.6 Compact Syntax for Array Generation. -
5.6.7 Shape Manipulation. -
5.7 High-Performance Computing with Arrays. -
5.7.1 Scalar Implementation. -
5.7.2 Vectorized Implementation. -
5.7.3 Memory-Saving Implementation. -
5.7.4 Analysis of Memory Usage. -
5.7.5 Analysis of the CPU Time. -
5.8 Higher-Dimensional Arrays. -
5.8.1 Matrices and Arrays. -
5.8.2 Two-Dimensional Numerical Python Arrays. -
5.8.3 Array Computing. -
5.8.4 Matrix Objects. -
5.9 Some Common Linear Algebra Operations. -
5.9.1 Inverse, Determinant, and Eigenvalues. -
5.9.2 Products. -
5.9.3 Norms. -
5.9.4 Sum and Extreme Values. -
5.9.5 Indexing. -
5.9.6 Transpose and Upper/Lower Triangular Parts. -
5.9.7 Solving Linear Systems. -
5.9.8 Matrix Row and Column Operations. -
5.9.9 Computing the Rank of a Matrix. -
5.9.10 Symbolic Linear Algebra. -
5.10 Plotting of Scalar and Vector Fields. -
5.10.1 Installation. -
5.10.2 Surface Plots. -
5.10.3 Parameterized Curve. -
5.10.4 Contour Lines. -
5.10.5 The Gradient Vector Field. -
5.11 Matplotlib. -
5.11.1 Surface Plots. -
5.11.2 Contour Plots. -
5.11.3 Vector Field Plots. -
5.12 Mayavi. -
5.12.1 Surface Plots. -
5.12.2 Contour Plots. -
5.12.3 Vector Field Plots. -
5.12.4 A 3D Scalar Field and Its Gradient Field. -
5.12.5 Animations. -
5.13 Summary. -
5.13.1 Chapter Topics. -
5.13.2 Example: Animating a Function. -
5.14 Exercises. -
6 Dictionaries and Strings. -
6.1 Dictionaries. -
6.1.1 Making Dictionaries. -
6.1.2 Dictionary Operations. -
6.1.3 Example: Polynomials as Dictionaries. -
6.1.4 Dictionaries with Default Values and Ordering. -
6.1.5 Example: Storing File Data in Dictionaries. -
6.1.6 Example: Storing File Data in Nested Dictionaries. -
6.1.7 Example: Reading and Plotting Data Recorded at Specific Dates. -
6.2 Strings. -
6.2.1 Common Operations on Strings. -
6.2.2 Example: Reading Pairs of Numbers. -
6.2.3 Example: Reading Coordinates. -
6.3 Reading Data fromWeb Pages. -
6.3.1 About Web Pages. -
6.3.2 How to Access Web Pages
Location:
AWI Reading room
Branch Library:
AWI Library
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