Python Notes for Professionals



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Table of contents

  • Getting started with Python Language
  • Python Data Types
  • Indentation
  • Comments and Documentation
  • Date and Time
  • Date Formatting
  • Enum
  • Set
  • Simple Mathematical Operators
  • Bitwise Operators
  • Boolean Operators
  • Operator Precedence
  • Variable Scope and Binding
  • Conditionals
  • Comparisons
  • Loops
  • Arrays
  • Multidimensional arrays
  • Dictionary
  • List
  • List comprehensions
  • List slicing (selecting parts of lists)
  • groupby()
  • Linked lists
  • Linked List Node
  • Filter
  • Heapq
  • Tuple
  • Basic Input and Output
  • Files & Folders I/O
  • os.path
  • Iterables and Iterators
  • Functions
  • Defining functions with list arguments
  • Functional Programming in Python
  • Partial functions
  • Decorators
  • Classes
  • Metaclasses
  • String Formatting
  • String Methods
  • Using loops within functions
  • Importing modules
  • Difference between Module and Package
  • Math Module
  • Complex math
  • Collections module
  • Operator module
  • JSON Module
  • Sqlite3 Module
  • The os Module
  • The locale Module
  • Itertools Module
  • Asyncio Module
  • Random module
  • Functools Module
  • The dis module
  • The base64 Module
  • Queue Module
  • Deque Module
  • Webbrowser Module
  • tkinter
  • pyautogui module
  • Indexing and Slicing
  • Plotting with Matplotlib
  • graph-tool
  • Generators
  • Reduce
  • Map Function
  • Exponentiation
  • Searching
  • Sorting, Minimum and Maximum
  • Counting
  • The Print Function
  • Regular Expressions (Regex)
  • Copying data
  • Context Managers ("with" Statement)
  • The __name__ special variable
  • Checking Path Existence and Permissions
  • Creating Python packages
  • Usage of "pip" module: PyPI Package Manager
  • pip: PyPI Package Manager
  • Parsing Command Line arguments
  • Subprocess Library
  • setup.py
  • Recursion
  • Type Hints
  • Exceptions
  • Raise Custom Errors / Exceptions
  • Commonwealth Exceptions
  • urllib
  • Web scraping with Python
  • HTML Parsing
  • Manipulating XML
  • Python Requests Post
  • Distribution
  • Property Objects
  • Overloading
  • Polymorphism
  • Method Overriding
  • User-Defined Methods
  • String representations of class instances: __str__ and __repr__ methods
  • Debugging
  • Reading and Writing CSV
  • Writing to CSV from String or List
  • Dynamic code execution with `exec` and `eval`
  • PyInstaller - Distributing Python Code
  • Data Visualization with Python
  • The Interpreter (Command Line Console)
  • *args and **kwargs
  • Garbage Collection
  • Pickle data serialisation
  • Binary Data
  • Idioms
  • Data Serialization
  • Multiprocessing
  • Multithreading
  • Processes and Threads
  • Python concurrency
  • Parallel computation
  • Sockets
  • Websockets
  • Sockets And Message Encryption/Decryption Between Client and Server
  • Python Networking
  • Python HTTP Server
  • Flask
  • Introduction to RabbitMQ using AMQPStorm
  • Descriptor
  • tempfile NamedTemporaryFile
  • Input, Subset and Output External Data Files using Pandas
  • Unzipping Files
  • Working with ZIP archives
  • Getting start with GZip
  • Stack
  • Working around the Global Interpreter Lock (GIL)
  • Deployment
  • Logging
  • Web Server Gateway Interface (WSGI)
  • Python Server Sent Events
  • Alternatives to switch statement from other languages
  • List destructuring (aka packing and unpacking)
  • Accessing Python source code and bytecode
  • Mixins
  • Attribute Access
  • ArcPy
  • Abstract Base Classes (abc)
  • Plugin and Extension Classes
  • Immutable datatypes(int, float, str, tuple and frozensets)
  • Incompatibilities moving from Python 2 to Python 3
  • 2to3 tool
  • Non-offcial Python implementations
  • Abstract syntax tree
  • Unicode and bytes
  • Python Serial Communication (pyserial)
  • Neo4j and Cypher using Py2Neo
  • Basic Curses with Python
  • Templates in python
  • Pillow
  • The pass statement
  • CLI subcommands with precise help output
  • Database Access
  • Connecting Python to SQL Server
  • PostgreSQL
  • Python and Excel
  • Turtle Graphics
  • Python Persistence
  • Design Patterns
  • hashlib
  • Creating a Windows service using Python
  • Mutable vs Immutable (and Hashable) in Python
  • configparser
  • Optical Character Recognition
  • Virtual environments
  • Python Virtual Environment - virtualenv
  • Virtual environment with virtualenvwrapper
  • Create virtual environment with virtualenvwrapper in windows
  • sys
  • ChemPy - python package
  • pygame
  • Pyglet
  • Audio
  • pyaudio
  • shelve
  • IoT Programming with Python and Raspberry PI
  • kivy - Cross-platform Python Framework for NUI Development
  • Pandas Transform: Preform operations on groups and concatenate the results
  • Similarities in syntax, Differences in meaning: Python vs. JavaScript
  • Call Python from C#
  • ctypes
  • Writing extensions
  • Python Lex-Yacc
  • Unit Testing
  • py.test
  • Profiling
  • Python speed of program
  • Performance optimization
  • Security and Cryptography
  • Secure Shell Connection in Python
  • Python Anti-Patterns
  • Common Pitfalls
  • Hidden Features
Pages : 855
Size : 6.3 MB
File type : PDF
Downloads: 161
Created: 2022-02-03
License: CC BY-SA
Author(s): Stack Overflow Community
Python Notes for Professionals

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