Part I. Prologue 1. The Python Data Model A Pythonic Card Deck How Special Methods Are Used Emulating Numeric Types String Representation Arithmetic Operators Boolean Value of a Custom Type Overview of Special Methods Why len Is Not a Method Chapter Summary Further Reading
Part II. Data Structures 2. An Array of Sequences Overview of Built-In Sequences List Comprehensions and Generator Expressions List Comprehensions and Readability Listcomps Versus map and filter Cartesian Products Generator Expressions Tuples Are Not Just Immutable Lists Tuples as Records Tuple Unpacking Nested Tuple Unpacking Named Tuples Tuples as Immutable Lists Slicing Why Slices and Range Exclude the Last Item Slice Objects Multidimensional Slicing and Ellipsis Assigning to Slices Using + and * with Sequences Building Lists of Lists Augmented Assignment with Sequences A += Assignment Puzzler list.sort and the sorted Built-In Function Managing Ordered Sequences with bisect Searching with bisect Inserting with bisect.insort When a List Is Not the Answer Arrays Memory Views NumPy and SciPy Deques and Other Queues Chapter Summary Further Reading 3. Dictionaries and Sets Generic Mapping Types dict Comprehensions Overview of Common Mapping Methods Handling Missing Keys with setdefault Mappings with Flexible Key Lookup defaultdict: Another Take on Missing Keys The___ missing___ Method Variations of dict Subclassing UserDict Immutable Mappings Set Theory set Literals Set Comprehensions Set Operations dict and set Under the Hood A Performance Experiment Hash Tables in Dictionaries ……
Part III. Functions as Objects Part IV. Object-Orientedldioms Part V. Control Flow Part VI. Metaprogramming Afterword A. Support Scripts Python Jargon Index
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