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- Hands-on Python Tutorial, Release 2.0 1.1.2Why Python There are many high-level languages. The language you will be learning is Python. Python is one of the easiest languages to learn and use, while at the same time being very powerful: It is one of the most used languages by highly productive professional programmers. Also Python is a free.
- The Python translator does not understand “add the numbers two and three”. Python is a formal language with its own specific rules and formats, which these tutorials will introduce gradually, at a pace intended for a beginner. These tutorials are also appropriate for beginners because they gradually introduce fundamental logical programming skills.
- . Binding a variable in Python means setting a name to hold a reference to some object. Assignment creates references, not copies. Names in Python do not have an intrinsic type. Objects have types. Python determines the type of the reference automatically based on the data object assigned to it.
- Involved in scientific visualizations using IDL and Python. Before that, he worked for five years teaching all levels of IDL programming and consulting for Research Systems, Inc. (now Exelis Visual Information Solutions). He is the author of Modern IDL (modernidl.idldev.com) and is the creator/maintainer of several open source.
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Chapters
Programming With Python 3 Pdf
- 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-official 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
Authors: David Ascher, Mark Lutz
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Book description
Learning Python is an introduction to the increasingly popular Python programming language. Python is an interpreted, interactive, object-oriented scripting language. Python is growing in popularity because:- It is available on all important platforms: Windows NT, Windows 95, Windows 98, Linux, all major UNIX platforms, MacOS, and even the BeOS.
- It is open-source software, copyrighted but freely available for use, even in commercial applications.
- Its clean object-oriented interface makes it a valuable prototyping tool for C++ programmers.
- It works well with all popular windowing toolkits, including MFC, Tk, Mac, X11, and Motif. Learning Python is written by Mark Lutz, author of Programming Python and Python Pocket Reference; and David Ascher, a vision scientist and Python user. This book starts with a thorough introduction to the elements of Python: types, operators, statements, classes, functions, modules, and exceptions. By reading the first part of the book, the reader will be able to understand and construct programs in the Python language. In the second part of the book, the authors present more advanced information, demonstrating how Python performs common tasks and presenting real applications and the libraries available for those applications.
Programming With Python 2 Pdf
All the examples use the Python interpreter, so the reader can type them in and get instant feedback. Each chapter ends with a series of exercises. Hp mini 110 wifi driver. Solutions to the exercises are in an appendix.
Structured Programming With Python Pdf
Learning Python Pdf
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