About
Chapter 1: Getting started with Python Language
Chapter 2: Python Data Types
Chapter 3: Indentation
Chapter 4: Comments and Documentation
Chapter 5: Date and Time
Chapter 6: Date Formatting
Chapter 7: Enum
Chapter 8: Set
Chapter 9: Simple Mathematical Operators
Chapter 10: Bitwise Operators
Chapter 11: Boolean Operators
Chapter 12: Operator Precedence
Chapter 13: Variable Scope and Binding
Chapter 14: Conditionals
Chapter 15: Comparisons
Chapter 16: Loops
Chapter 17: Arrays
Chapter 18: Multidimensional arrays
Chapter 19: Dictionary
Chapter 20: List
Chapter 21: List comprehensions
Chapter 22: List slicing (selecting parts of lists)
Chapter 23: groupby()
Chapter 24: Linked lists
Chapter 25: Linked List Node
Chapter 26: Filter
Chapter 27: Heapq
Chapter 28: Tuple
Chapter 29: Basic Input and Output
Chapter 30: Files & Folders I/O
Chapter 31: os.path
Chapter 32: Iterables and Iterators
Chapter 33: Functions
Chapter 34: Defining functions with list arguments
Chapter 35: Functional Programming in Python
Chapter 36: Partial functions
Chapter 37: Decorators
Chapter 38: Classes
Chapter 39: Metaclasses
Chapter 40: String Formatting
Chapter 41: String Methods
Chapter 42: Using loops within functions
Chapter 43: Importing modules
Chapter 44: Difference between Module and Package
Chapter 45: Math Module
Chapter 46: Complex math
Chapter 47: Collections module
Chapter 48: Operator module
Chapter 49: JSON Module
Chapter 50: Sqlite3 Module
Chapter 51: The os Module
Chapter 52: The locale Module
Chapter 53: Itertools Module
Chapter 54: Asyncio Module
Chapter 55: Random module
Chapter 56: Functools Module
Chapter 57: The dis module
Chapter 58: The base64 Module
Chapter 59: Queue Module
Chapter 60: Deque Module
Chapter 61: Webbrowser Module
Chapter 62: tkinter
Chapter 63: pyautogui module
Chapter 64: Indexing and Slicing
Chapter 65: Plotting with Matplotlib
Chapter 66: graph-tool
Chapter 67: Generators
Chapter 68: Reduce
Chapter 69: Map Function
Chapter 70: Exponentiation
Chapter 71: Searching
Chapter 72: Sorting, Minimum and Maximum
Chapter 73: Counting
Chapter 74: The Print Function
Chapter 75: Regular Expressions (Regex)
Chapter 76: Copying data
Chapter 77: Context Managers (?with? Statement)
Chapter 78: The __name__ special variable
Chapter 79: Checking Path Existence and Permissions
Chapter 80: Creating Python packages
Chapter 81: Usage of "pip" module: PyPI Package Manager
Chapter 82: pip: PyPI Package Manager
Chapter 83: Parsing Command Line arguments
Chapter 84: Subprocess Library
Chapter 85: setup.py
Chapter 86: Recursion
Chapter 87: Type Hints
Chapter 88: Exceptions
Chapter 89: Raise Custom Errors / Exceptions
Chapter 90: Commonwealth Exceptions
Chapter 91: urllib
Chapter 92: Web scraping with Python
Chapter 93: HTML Parsing
Chapter 94: Manipulating XML
Chapter 95: Python Requests Post
Chapter 96: Distribution
Chapter 97: Property Objects
Chapter 98: Overloading
Chapter 99: Polymorphism
Chapter 100: Method Overriding
Chapter 101: User-Defined Methods
Chapter 102: String representations of class instances: __str__ and __repr__methods
Chapter 103: Debugging
Chapter 104: Reading and Writing CSV
Chapter 105: Writing to CSV from String or List
Chapter 106: Dynamic code execution with `exec` and `eval`
Chapter 107: PyInstaller - Distributing Python Code
Chapter 108: Data Visualization with Python
Chapter 109: The Interpreter (Command Line Console)
Chapter 110: *args and **kwargs
Chapter 111: Garbage Collection
Chapter 112: Pickle data serialisation
Chapter 113: Binary Data
Chapter 114: Idioms
Chapter 115: Data Serialization
Chapter 116: Multiprocessing
Chapter 117: Multithreading
Chapter 118: Processes and Threads
Chapter 119: Python concurrency
Chapter 120: Parallel computation
Chapter 121: Sockets
Chapter 122: Websockets
Chapter 123: Sockets And Message Encryption/Decryption Between Client and Server
Chapter 124: Python Networking
Chapter 125: Python HTTP Server
Chapter 126: Flask
Chapter 127: Introduction to RabbitMQ using AMQPStorm
Chapter 128: Descriptor
Chapter 129: tempfile NamedTemporaryFile
Chapter 130: Input, Subset and Output External Data Files using Pandas
Chapter 131: Unzipping Files
Chapter 132: Working with ZIP archives
Chapter 133: Getting start with GZip
Chapter 134: Stack
Chapter 135: Working around the Global Interpreter Lock (GIL)
Chapter 136: Deployment
Chapter 137: Logging
Chapter 138: Web Server Gateway Interface (WSGI)
Chapter 139: Python Server Sent Events
Chapter 140: Alternatives to switch statement from other languages
Chapter 141: List destructuring (aka packing and unpacking)
Chapter 142: Accessing Python source code and bytecode
Chapter 143: Mixins
Chapter 144: Attribute Access
Chapter 145: ArcPy
Chapter 146: Abstract Base Classes (abc)
Chapter 147: Plugin and Extension Classes
Chapter 148: Immutable datatypes(int, float, str, tuple and frozensets)
Chapter 149: Incompatibilities moving from Python 2 to Python 3
Chapter 150: 2to3 tool
Chapter 151: Non-official Python implementations
Chapter 152: Abstract syntax tree
Chapter 153: Unicode and bytes
Chapter 154: Python Serial Communication (pyserial)
Chapter 155: Neo4j and Cypher using Py2Neo
Chapter 156: Basic Curses with Python
Chapter 157: Templates in python
Chapter 158: Pillow
Chapter 159: The pass statement
Chapter 160: CLI subcommands with precise help output
Chapter 161: Database Access
Chapter 162: Connecting Python to SQL Server
Chapter 163: PostgreSQL
Chapter 164: Python and Excel
Chapter 165: Turtle Graphics
Chapter 166: Python Persistence
Chapter 167: Design Patterns
Chapter 168: hashlib
Chapter 169: Creating a Windows service using Python
Chapter 170: Mutable vs Immutable (and Hashable) in Python
Chapter 171: configparser
Chapter 172: Optical Character Recognition
Chapter 173: Virtual environments
Chapter 174: Python Virtual Environment - virtualenv
Chapter 175: Virtual environment with virtualenvwrapper
Chapter 176: Create virtual environment with virtualenvwrapper in windows
Chapter 177: sys
Chapter 178: ChemPy - python package
Chapter 179: pygame
Chapter 180: Pyglet
Chapter 181: Audio
Chapter 182: pyaudio
Chapter 183: shelve
Chapter 184: IoT Programming with Python and Raspberry PI
Chapter 185: kivy - Cross-platform Python Framework for NUI Development
Chapter 186: Pandas Transform: Preform operations on groups and concatenate the results
Chapter 187: Similarities in syntax, Differences in meaning: Python vs. JavaScript
Chapter 188: Call Python from C#
Chapter 189: ctypes
Chapter 190: Writing extensions
Chapter 191: Python Lex-Yacc
Chapter 192: Unit Testing
Chapter 193: py.test
Chapter 194: Profiling
Chapter 195: Python speed of program
Chapter 196: Performance optimization
Chapter 197: Security and Cryptography
Chapter 198: Secure Shell Connection in Python
Chapter 199: Python Anti-Patterns
Chapter 200: Common Pitfalls
Chapter 201: Hidden Features
Credits
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*La edición digital no incluye códigos de acceso a material adicional o programas mencionados en el libro.