Ernesti / Kaiser - Python 3

Python 3

The Comprehensive Guide

Medium: Buch

ISBN: 978-1-4932-2800-3

Verlag: Rheinwerk Verlag GmbH

Erscheinungstermin: 08.11.2026

69,95 € 65,37 € (zzgl. MwSt.)

vorbestellbar, Erscheinungstermin ca. November 2026

Ready to master Python? In this updated edition of the prize-winning Python reference, learn to write effective code, whether you’re a beginner or a professional programmer. Review core Python concepts, including functions, modularization, and object orientation, and walk through the available data types. Then dive into more advanced topics, such as exception handling, static type checking, and regular expressions. With mountains of code examples throughout, this hands-on reference guide has everything you need to become proficient in Python!

Highlights includes:

1) Functions

2) Methods

3) Attributes

4) Data types

5) GUIs

6) Debugging

7) Network communication

8) Modularization

9) Object orientation

10) Iterators

11)Generators

12)Exception handling

Produkteigenschaften

Artikelnummer: 9781493228003
Medium: Buch
ISBN: 978-1-4932-2800-3
Verlag: Rheinwerk Verlag GmbH
Erscheinungstermin: 08.11.2026
Sprache(n): Englisch
Auflage: 2. Auflage 2026
Serie: Rheinwerk Computing
Produktform: Kartoniert
Seiten: 1048
Format (B x H): 178 x 254 mm
Ausgabetyp: Kein, Unbekannt
Vorauflage: 978-1-4932-2302-2

Themen

1. Introduction. 31

1.1. Why Did We Write This Book?. 31

1.2. What Does This Book Provide?. 32

1.3. Structure of the Book. 32

1.4. How Should You Read This Book?. 33

1.5. Sample Programs. 34

1.6. Preface to the Second English Edition (2026). 34

1.7. Acknowledgments. 35

2. The Python Programming Language. 37

2.1. History and Origin. 37

2.2. Basic Concepts. 38

2.3. Possible Areas of Use and Strengths. 39

2.4. Installing Python. 40

2.5. Installing Third-Party Modules. 43

2.6. Using Python. 43

PART I. Getting Started with Python. 45

3. Getting Started with the Interactive Mode. 47

3.1. Integers. 47

3.2. Floats. 49

3.3. Character Strings. 49

3.4. Lists. 50

3.5. Dictionaries. 51

3.6. Variables. 52

3.7. Logical Expressions. 53

3.8. Functions and Methods. 55

3.9. Screen Outputs. 57

3.10. Modules. 58

4. The Path to the First Program. 61

4.1. Typing, Compiling, and Testing. 61

4.2. Basic Structure of a Python Program. 64

4.3. The First Program. 67

4.4. Comments. 69

4.5. In Case of Error. 70

5. Control Structures. 73

5.1. Conditionals. 73

5.2. Loops. 77

5.3. The pass Statement. 84

5.4. Assignment Expressions. 84

6. Files. 89

6.1. Data Streams. 89

6.2. Reading Data from a File. 90

6.3. Writing Data to a File. 94

6.4. Generating the File Object. 95

7. The Data Model. 101

7.1. The Structure of Instances. 103

7.2. Deleting References. 107

7.3. Mutable Versus Immutable Data Types. 109

8. Functions, Methods, and Attributes. 113

8.1. Parameters of Functions and Methods. 113

8.2. Attributes. 116

9. Sources of Information on Python. 117

9.1. The Built-In Help Function. 117

9.2. The Online Documentation. 118

9.3. PEPs. 118

PART II. Data Types. 121

10. Basic Data Types: An Overview. 123

10.1. Nothingness: NoneType. 124

10.2. Operators. 125

11. Numeric Data Types. 129

11.1. Arithmetic Operators. 129

11.2. Comparison Operators. 131

11.3. Conversion between Numeric Data Types. 132

11.4. Integers: int. 133

11.5. Floats: float. 139

11.6. Boolean Values: bool. 142

11.7. Complex Numbers: complex. 147

12. Sequential Data Types. 151

12.1. The Difference Between Text and Binary Data. 151

12.2. Operations on Instances of Sequential Data Types. 152

12.3. The list Data Type. 164

12.4. Immutable Lists: tuple. 177

12.5. Strings: str, bytes, bytearray. 180

13. Mappings and Sets. 217

13.1. Dictionary: dict. 217

13.2. Sets: set and frozenset. 229

14. Collections. 243

14.1. Chained Dictionaries. 243

14.2. Counting Frequencies. 244

14.3. Dictionaries with Default Values. 246

14.4. Doubly Linked Lists. 247

14.5. Named Tuples. 249

15. Date and Time. 251

15.1. Elementary Time Functions: time. 251

15.2. Object-Oriented Date Management: datetime. 259

15.3. Time Zones: zoneinfo. 268

16. Enumerations and Flags. 273

16.1. Enumeration Types: enum. 273

16.2. Enumeration Types for Bit Patterns: Flag. 275

16.3. Integer Enumeration Types: IntEnum. 276

PART III. Advanced Programming Techniques. 277

17. Functions. 279

17.1. Defining a Function. 280

17.2. Return Values. 282

17.3. Function Objects. 284

17.4. Optional Parameters. 284

17.5. Keyword Arguments. 285

17.6. Arbitrarily Many Parameters. 286

17.7. Keyword-Only Parameters. 288

17.8. Positional-Only Parameters. 289

17.9. Unpacking When Calling a Function. 290

17.10. Side Effects. 293

17.11. Namespaces. 295

17.12. Anonymous Functions. 301

17.13. Recursion. 302

17.14. Built-In Functions. 303

18. Modules and Packages. 327

18.1. Importing Global Modules. 328

18.2. Local Modules. 330

18.3. Packages. 332

18.4. The importlib Package. 336

18.5. Planned Language Elements. 337

19. Object-Oriented Programming. 339

19.1. Example: A Non-Object-Oriented Account. 339

19.2. Classes. 344

19.3. Inheritance. 349

19.4. Multiple Inheritance. 361

19.5. Property Attributes. 363

19.6. Static Methods. 365

19.7. Class Methods. 367

19.8. Class Attributes. 368

19.9. Built-in Functions for Object-Oriented Programming. 369

19.10. Inheriting Built-In Data Types. 372

19.11. Magic Methods and Magic Attributes. 374

19.12. Data Classes. 393

20. Exception Handling. 399

20.1. Exceptions. 399

20.2. Assertions. 414

20.3. Warnings. 415

20.4. Exception Groups. 416

21. Generators and Iterators. 421

21.1. Generators. 421

21.2. Iterators. 428

21.3. Special Generators: itertools. 437

21.4. Generators as Consumers. 446

22. Context Manager. 453

22.1. The with Statement. 453

22.2. Helper Functions for with Contexts: contextlib. 456

23. Decorators. 461

23.1. Function Decorators. 461

23.2. Class Decorators. 466

23.3. The functools Module. 467

24. Annotations for Static Type Checking. 473

24.1. Annotations. 474

24.2. Type Hints: The typing Module. 481

24.3. Static Type Checking in Python: mypy. 487

25. Structural Pattern Matching. 489

25.1. The match Statement. 489

25.2. Pattern Types in the case Statement. 490

PART IV. The Standard Library. 505

26. Mathematics. 507

26.1. Mathematical Functions: math, cmath. 507

26.2. Random Number Generator: random. 513

26.3. Statistical Calculations: statistics. 517

26.4. Intuitive Decimal Numbers: decimal. 518

26.5. Hash Functions: hashlib. 524

27. Screen Outputs and Logging. 531

27.1. Formatted Output of Complex Objects: pprint. 531

27.2. Log Files: logging. 533

28. Regular Expressions. 539

28.1. Syntax of Regular Expressions. 539

28.2. Using the re Module. 549

28.3. A Simple Sample Program: Searching. 555

28.4. A More Complex Sample Program: Matching. 556

28.5. Comments in Regular Expressions. 559

28.6. Catastrophic Backtracking. 560

29. Interface to Operating System and Runtime Environment. 563

29.1. Operating System Functionality: os. 563

29.2. Starting Subprocesses: subprocess. 565

29.3. Accessing the Runtime Environment: sys. 568

29.4. Command Line Parameters: argparse. 573

30. File System. 581

30.1. Basics of File Systems and Paths. 581

30.2. The Modern Approach: pathlib. 583

30.3. Accessing the File System: os. 589

30.4. File Paths: os.path. 595

30.5. Accessing the File System: shutil. 600

30.6. Temporary Files: tempfile. 605

31. Parallel Programming. 607

31.1. Processes, Multitasking, and Threads. 607

31.2. Python's Interfaces for Parallelization. 611

31.3. The Abstract Interface: concurrent.futures. 612

31.4. The Flexible Interface: threading and multiprocessing. 622

31.5. Cooperative Multitasking. 633

31.6. Conclusion: Which Interface Is the Right One?. 649

32. Data Storage. 651

32.1. The JSON Data Exchange Format: json. 651

32.2. Serializing Instances: pickle. 652

32.3. The CSV Table Format: csv. 656

32.4. Compressed Files and Archives. 661

32.5. Databases. 663

32.6. XML. 681

33. Network Communication. 695

33.1. Socket API. 696

33.2. XML-RPC. 712

34. Accessing Resources on the Internet. 721

34.1. Protocols. 721

34.2. Solutions. 722

34.3. The Easy Way: requests. 722

34.4. URLs: urllib. 725

34.5. FTP: ftplib. 733

35. Email. 739

35.1. SMTP: smtplib. 739

35.2. POP3: poplib. 742

35.3. IMAP4: imaplib. 746

35.4. Creating Complex Emails: email. 751

36. Debugging and Quality Assurance. 755

36.1. The Debugger. 755

36.2. Automated Testing. 757

36.3. Analyzing the Runtime Performance. 765

37. Documentation. 775

37.1. Docstrings. 775

37.2. Automatically Generated Documentation: pydoc. 777

PART V. Advanced Topics. 779

38. Distributing Python Projects. 781

38.1. A History of Distributions in Python. 781

38.2. Creating Distributions: setuptools. 782

38.3. Creating EXE files: cx_Freeze. 790

38.4. Package Manager. 792

38.5. Localizing Programs: gettext. 797

39. Virtual Environments. 801

39.1. Using Virtual Environments: venv. 802

39.2. Virtual Environments in Anaconda. 803

40. Alternative Interpreters and Compilers. 805

40.1. Just-in-Time Compilation: PyPy. 805

40.2. Numba. 806

40.3. Connecting to C and C++: Cython. 809

40.4. The Interactive Python Shell: IPython. 815

41. Graphical User Interfaces. 823

41.1. Toolkits. 823

41.2. Introduction to tkinter. 825

41.3. Introduction to PySide6. 866

42. Python as a Server-Side Programming Language on the Web: An Introduction to Django. 911

42.1. Concepts and Features of Django. 912

42.2. Installing Django. 913

42.3. Creating a New Django Project. 914

42.4. Creating an Application. 917

43. Scientific Computing and Data Science. 953

43.1. Installation. 954

43.2. The Model Program. 954

43.3. Overview of the numpy and scipy Modules. 962

43.4. An Introduction to Data Analysis with pandas. 971

44. Inside Knowledge. 987

44.1. Opening URLs in the Default Browser: webbrowser. 987

44.2. Interpreting Binary Data: struct. 987

44.3. Hidden Password Entry. 989

44.4. Command Line Interpreter. 990

44.5. File Interface for Strings: io.StringIO. 993

44.6. Copying Instances: copy. 994

44.7. Image Processing: Pillow. 997

45. A History of Python Versions. 1007

45.1. Python’s Version History. 1007

45.2. The Leap to Python 3. 1010

A. Appendix. 1017

A.1. Reserved Words. 1017

A.2. Operator Precedence. 1017

A.3. Built-In Functions. 1019

A.4. Built-In Exceptions. 1023

A.5. Python IDEs. 1027

. The Authors. 1029

. Index. 1031

Python 3

Beschreibung

Autoren/Hrsg.

Inhalt

Produkteigenschaften

Themen

Verlagspartner

Produktsortiment

Fachzeitschriften

Veranstaltungen

Site Breadcrumb

Python 3

Beschreibung

Autoren/Hrsg.

Inhalt

Produkteigenschaften

Themen