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𝑫𝒊𝒗𝒊𝒅𝒆𝒏𝒅 𝒔𝒕𝒐𝒄𝒌𝒔 𝒂𝒓𝒆 𝒂𝒃𝒐𝒖𝒕 𝒕𝒐 𝒓𝒆𝒄𝒐𝒗𝒆𝒓 𝒇𝒓𝒐𝒎 𝒕𝒉𝒆 𝟐𝟎𝟐𝟎 𝒄𝒓𝒂𝒔𝒉, 𝒎𝒆𝒂𝒏𝒊𝒏𝒈 𝒕𝒉𝒆𝒓𝒆'𝒔 𝒔𝒕𝒊𝒍𝒍 𝒕𝒊𝒎𝒆 𝒕𝒐 𝒈𝒆𝒕 𝒔𝒉𝒂𝒓𝒆𝒔 𝒂𝒕 𝒂 𝒃𝒆𝒕𝒕𝒆𝒓 𝒑𝒓𝒊𝒄𝒆 𝒕𝒉𝒂𝒏 𝒎𝒐𝒔𝒕 𝒅𝒊𝒅 𝒊𝒏 𝟐𝟎𝟏𝟗.... [happy hand holder logo]( Editor's Note: Occasionally, an opportunity comes to our attention at Happy Hand Holder we believe readers like you will find valuable. The message below from one of our partners is one we believe you should take a close look at. 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[Click here to claim the report on these 3 buy-and-hold dividend stocks set to grow their payouts.]( Tim Plaehn Editor of The Dividend Hunter The “Python library” contains several different kinds of components. It contains data types that would normally be considered part of the “core” of a language, such as numbers and lists. For these types, the Python language core defines the form of literals and places some constraints on their semantics, but does not fully define the semantics. (On the other hand, the language core does define syntactic properties like the spelling and priorities of operators.) The library also contains built-in functions and exceptions — objects that can be used by all Python code without the need of an import statement. Some of these are defined by the core language, but many are not essential for the core semantics and are only described here. The bulk of the library, however, consists of a collection of modules. There are many ways to dissect this collection. Some modules are written in C and built in to the Python interpreter; others are written in Python and imported in source form. Some modules provide interfaces that are highly specific to Python, like printing a stack trace; some provide interfaces that are specific to particular operating systems, such as access to specific hardware; others provide interfaces that are specific to a particular application domain, like the World Wide Web. Some modules are available in all versions and ports of Python; others are only available when the underlying system supports or requires them; yet others are available only when a particular configuration option was chosen at the time when Python was compiled and installed. This manual is organized “from the inside out:” it first describes the built-in functions, data types and exceptions, and finally the modules, grouped in chapters of related modules. This means that if you start reading this manual from the start, and skip to the next chapter when you get bored, you will get a reasonable overview of the available modules and application areas that are supported by the Python library. Of course, you don’t have to read it like a novel — you can also browse the table of contents (in front of the manual), or look for a specific function, module or term in the index (in the back). And finally, if you enjoy learning about random subjects, you choose a random page number (see module random) and read a section or two. Regardless of the order in which you read the sections of this manual, it helps to start with chapter Built-in Functions, as the remainder of the manual assumes familiarity with this material. Let the show begin! Notes on availability An “Availability: Unix” note means that this function is commonly found on Unix systems. It does not make any claims about its existence on a specific operating system. If not separately noted, all functions that claim “Availability: Unix” are supported on macOS, which builds on a Unix core. P.S. When you go see these 3 stocks, I also have a bonus report to share with you, The 36-Month Accelerated Income Plan to Pay Your Bills for Life. This is my #1 strategy to turn a small $25k stake into an income stream that pays your bills each month. [Go here to see this 2nd report..]( p{ font-family: "Georgia", "Times New Roman", Times, serif; font-style: normal; font-weight: normal; font-size: 10px; letter-spacing: 5px; line-height: normal; text-transform: none; text-decoration: none; text-align: justify; } While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. It also describes some of the optional components that are commonly included in Python distributions. Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents listed below. The library contains built-in modules (written in C) that provide access to system functionality such as file I/O that would otherwise be inaccessible to Python programmers, as well as modules written in Python that provide standardized solutions for many problems that occur in everyday programming. Some of these modules are explicitly designed to encourage and enhance the portability of Python programs by abstracting away platform-specifics into platform-neutral APIs. The Python installers for the Windows platform usually include the entire standard library and often also include many additional components. For Unix-like operating systems Python is normally provided as a collection of packages, so it may be necessary to use the packaging tools provided with the operating system to obtain some or all of the optional components. In addition to the standard library, there is a growing collection of several thousand components (from individual programs and modules to packages and entire application development frameworks), available from the Python Package Index. Introduction Notes on availability Built-in Functions Built-in Constants Constants added by the site module Built-in Types Truth Value Testing Boolean Operations — and, or, not Comparisons Numeric Types — int, float, complex Iterator Types Sequence Types — list, tuple, range Text Sequence Type — str Binary Sequence Types — bytes, bytearray, memoryview Set Types — set, frozenset Mapping Types — dict Context Manager Types Generic Alias Type Other Built-in Types Special Attributes Integer string conversion length limitation Built-in Exceptions Exception context Inheriting from built-in exceptions Base classes Concrete exceptions Warnings Exception hierarchy Text Processing Services string — Common string operations re — Regular expression operations difflib — Helpers for computing deltas textwrap — Text wrapping and filling unicodedata — Unicode Database stringprep — Internet String Preparation readline — GNU readline interface rlcompleter — Completion function for GNU readline Binary Data Services struct — Interpret bytes as packed binary data codecs — Codec registry and base classes Data Types datetime — Basic date and time types zoneinfo — IANA time zone support calendar — General calendar-related functions collections — Container datatypes collections.abc — Abstract Base Classes for Containers heapq — Heap queue algorithm bisect — Array bisection algorithm array — Efficient arrays of numeric values weakref — Weak references types — Dynamic type creation and names for built-in types copy — Shallow and deep copy operations pprint — Data pretty printer reprlib — Alternate repr() implementation enum — Support for enumerations graphlib — Functionality to operate with graph-like structures Numeric and Mathematical Modules numbers — Numeric abstract base classes math — Mathematical functions cmath — Mathematical functions for complex numbers decimal — Decimal fixed point and floating point arithmetic fractions — Rational numbers random — Generate pseudo-random numbers statistics — Mathematical statistics functions Functional Programming Modules itertools — Functions creating iterators for efficient looping functools — Higher-order functions and operations on callable objects operator — Standard operators as functions File and Directory Access pathlib — Object-oriented filesystem paths os.path — Common pathname manipulations fileinput — Iterate over lines from multiple input streams stat — Interpreting stat() results filecmp — File and Directory Comparisons tempfile — Generate temporary files and directories glob — Unix style pathname pattern expansion fnmatch — Unix filename pattern matching linecache — Random access to text lines shutil — High-level file operations Data Persistence pickle — Python object serialization copyreg — Register pickle support functions shelve — Python object persistence marshal — Internal Python object serialization dbm — Interfaces to Unix “databases” sqlite3 — DB-API 2.0 interface for SQLite databases Data Compression and Archiving zlib — Compression compatible with gzip gzip — Support for gzip files bz2 — Support for bzip2 compression lzma — Compression using the LZMA algorithm zipfile — Work with ZIP archives tarfile — Read and write tar archive files File Formats csv — CSV File Reading and Writing configparser — Configuration file parser netrc — netrc file processing plistlib — Generate and parse Apple .plist files Cryptographic Services hashlib — Secure hashes and message digests hmac — Keyed-Hashing for Message Authentication secrets — Generate secure random numbers for managing secrets Generic Operating System Services os — Miscellaneous operating system interfaces io — Core tools for working with streams time — Time access and conversions argparse — Parser for command-line options, arguments and sub-commands getopt — C-style parser for command line options logging — Logging facility for Python logging.config — Logging configuration logging.handlers — Logging handlers getpass — Portable password input curses — Terminal handling for character-cell displays curses.textpad — Text input widget for curses programs curses.ascii — Utilities for ASCII characters curses.panel — A panel stack extension for curses platform — Access to underlying platform’s identifying data errno — Standard errno system symbols ctypes — A foreign function library for Python Concurrent Execution threading — Thread-based parallelism multiprocessing — Process-based parallelism multiprocessing.shared_memory — Provides shared memory for direct access across processes The concurrent package concurrent.futures — Launching parallel tasks subprocess — Subprocess management sched — Event scheduler queue — A synchronized queue class contextvars — Context Variables _thread — Low-level threading API Networking and Interprocess Communication asyncio — Asynchronous I/O socket — Low-level networking interface ssl — TLS/SSL wrapper for socket objects select — Waiting for I/O completion selectors — High-level I/O multiplexing signal — Set handlers for asynchronous events mmap — Memory-mapped file support Internet Data Handling email — An email and MIME handling package json — JSON encoder and decoder mailbox — Manipulate mailboxes in various formats mimetypes — Map filenames to MIME types base64 — Base16, Base32, Base64, Base85 Data Encodings binhex — Encode and decode binhex4 files binascii — Convert between binary and ASCII quopri — Encode and decode MIME quoted-printable data Structured Markup Processing Tools html — HyperText Markup Language support html.parser — Simple HTML and XHTML parser html.entities — Definitions of HTML general entities XML Processing Modules [happy hand holder devider] From time to time, we send special emails or offers from 3rd party websites to readers who chose to opt-in. 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