Nguồn ngoài

Think Python 2ed.

Think Python is an introduction to Python programming for beginners. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters.

Computer Science Engineering

Tác giả: Allen B. Downey
Nhà xuất bản: Olin College
Nguồn: LibreTexts
Giấy phép: CC BY-NC
Ngôn ngữ: EN
Danh mục: Công nghệ thông tin

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Mục lục· 239 mục

01: The way of the program
1.01: What is a program
1.02: Running Python
1.03: The first program
1.04: Arithmetic operators
1.05: Values and types
1.06: Formal and natural languages
1.07: Debugging
1.08: Glossary
1.09: Exercises
02: Variables expressions and statements
2.01: Assignment statements
2.02: Variable names
2.03: Expressions and statements
2.04: Script mode
2.05: Order of operations
2.06: String operations
2.07: Comments
2.08: Debugging
2.09: Glossary
2.10: Exercises
03: Functions
3.01: Function calls
3.02: Math functions
3.03: Composition
3.04: Adding new functions
3.05: Definitions and uses
3.06: Flow of execution
3.07: Parameters and arguments
3.08: Variables and parameters are local
3.09: Stack diagrams
3.10: Fruitful functions and void functions
3.11: Why functions
3.12: Debugging
3.13: Glossary
3.14: Exercises
04: Case study - interface design
4.01: The turtle module
4.02: Simple repetition
4.03: Exercises
4.04: Encapsulation
4.05: Generalization
4.06: Interface design
4.07: Refactoring
4.08: A development plan
4.09: docstring
4.10: Debugging
4.11: Glossary
4.12: Exercises
05: Conditionals and recursion
5.01: Floor division and modulus
5.02: Boolean expressions
5.03: Logical operators
5.04: Conditional execution
5.05: Alternative execution
5.06: Chained conditionals
5.07: Nested conditionals
5.08: Recursion
5.09: Stack diagrams for recursive functions
5.10: Infinite recursion
5.11: Keyboard input
5.12: Debugging
5.13: Glossary
5.14: Exercises
06: Fruitful functions
6.01: Return values
6.02: Incremental development
6.03: Composition
6.04: Boolean functions
6.05: More recursion
6.06: Leap of faith
6.07: One more example
6.08: Checking types
6.09: Debugging
6.10: Glossary
6.11: Exercises
07: Iteration
7.01: Reassignment
7.02: Updating variables
7.03: The while statement
7.04: break
7.05: Square roots
7.06: Algorithms
7.07: Debugging
7.08: Glossary
7.09: Exercises
08: Strings
8.01: A string is a sequence
8.02: len
8.03: Traversal with a for loop
8.04: String slices
8.05: Strings are immutable
8.06: Searching
8.07: Looping and counting
8.08: String methods
8.09: The in operator
8.10: String comparison
8.11: Debugging
8.12: Glossary
8.13: Exercises
09: Case study - word play
9.01: Reading word lists
9.02: Exercises
9.03: Search
9.04: Looping with indices
9.05: Debugging
9.06: Glossary
9.07: Exercises
10: Lists
10.01: A list is a sequence
10.02: Lists are mutable
10.03: Traversing a list
10.04: List operations
10.05: List slices
10.06: List methods
10.07: Map filter and reduce
10.08: Deleting elements
10.09: Lists and strings
10.10: Objects and values
10.11: Aliasing
10.12: List arguments
10.13: Debugging
10.14: Glossary
10.15: Exercises
11: Dictionaries
11.01: A dictionary is a mapping
11.02: Dictionary as a collection of counters
11.03: Looping and dictionaries
11.04: Reverse lookup
11.05: Dictionaries and lists
11.06: Memos
11.07: Global variables
11.08: Debugging
11.09: Glossary
11.10: Exercises
12: Tuples
12.01: Tuples are immutable
12.02: Tuple assignment
12.03: Tuples as return values
12.04: Variable-length argument tuples
12.05: Lists and tuples
12.06: Dictionaries and tuples
12.07: Sequences of sequences
12.08: Debugging
12.09: Glossary
12.10: Exercises
13: Case study - data structure selection
13.01: Word frequency analysis
13.02: Random numbers
13.03: Word histogram
13.04: Most common words
13.05: Optional parameters
13.06: Dictionary subtraction
13.07: Random words
13.08: Markov analysis
13.09: Data structures
13.10: Debugging
13.11: Glossary
13.12: Exercises
14: Files
14.01: Persistence
14.02: Reading and writing
14.03: Format operator
14.04: Filenames and paths
14.05: Catching exceptions
14.06: Databases
14.07: Pickling
14.08: Pipes
14.09: Writing modules
14.10: Debugging
14.11: Glossary
14.12: Exercises
15: Classes and objects
15.01: Programmer-defined types
15.02: Attributes
15.03: Rectangles
15.04: Instances as return values
15.05: Objects are mutable
15.06: Copying
15.07: Debugging
15.08: Glossary
15.09: Exercises
16: Classes and functions
16.01: Time
16.02: Pure functions
16.03: Modifiers
16.04: Prototyping versus planning
16.05: Debugging
16.06: Glossary
16.07: Exercises
17: Classes and methods
17.01: Object-oriented features
17.02: Printing objects
17.03: Another example
17.04: A more complicated example
17.05: The init method
17.06: The str method
17.07: Operator overloading
17.08: Type-based dispatch
17.09: Polymorphism
17.10: Debugging
17.11: Interface and implementation
17.12: Glossary
17.13: Exercises
18: Inheritance
18.01: Card objects
18.02: Class attributes
18.03: Comparing cards
18.04: Decks
18.05: Printing the deck
18.06: Add remove shuffle and sort
18.07: Inheritance
18.08: Class diagrams
18.09: Debugging
18.10: Data encapsulation
18.11: Glossary
18.12: Exercises
19: The Goodies
19.01: Conditional expressions
19.02: List comprehensions
19.03: Generator expressions
19.04: any and all
19.05: Sets
19.06: Counters
19.07: defaultdict
19.08: Named tuples
19.09: Gathering keyword args
19.10: Glossary
19.11: Exercises
20: Appendix A - Debugging
20.01: Syntax errors
20.02: Runtime errors
20.03: Semantic errors
21: Appendix B - Analysis of Algorithms
21.01: Order of growth
21.02: Analysis of basic Python operations
21.03: Analysis of search algorithms
21.04: Hashtables
21.05: Glossary