WxPython Application Development Cookbook

Key Features

  • This publication empowers you to create wealthy cross-platform graphical consumer interfaces utilizing Python
  • It is helping you advance functions that may be deployed on home windows, OSX, and Linux
  • The recipes within the booklet contain real-world purposes, supplying you with a first-hand event of the sensible scenarios

Book Description

wxPython is a GUI toolkit for the Python programming language outfitted on best of the cross-platform wxWidgets GUI libraries. wxPython presents a strong set of instruments that let you speedy and successfully construction purposes that may run on various various systems. when you consider that wxWidgets presents a wrapper round every one platform's local GUI toolkit, the purposes equipped with wxPython could have a local appear and feel anyplace they're deployed.

This ebook will give you the abilities to construct hugely useful and local having a look person interfaces for Python functions on a number of working process environments. by way of operating throughout the recipes, you'll achieve insights into and publicity to making functions utilizing wxPython. With quite a lot of subject matters lined within the e-book, there are recipes to get the main simple of rookies begun in GUI programming in addition to the right way to support skilled clients get extra out in their functions. The recipes will take you from the main simple program constructs throughout to the deployment of whole applications.

What you'll learn

  • Create complete featured consumer interfaces
  • Design and advance customized controls
  • Deploy and distribute wxPython functions to home windows, Macintosh OS X, Linux, and different UNIX-like environments
  • Handle and reply to software events
  • Manage and exhibit facts utilizing grids
  • Interact with internet companies out of your GUI
  • Use Paint occasions to attract customized displays
  • Support the demonstrate of consumer interfaces in a number of languages

About the Author

Cody Precord is a software program engineer dependent in Minneapolis, MN, united states. He designs and writes structures and alertness software program for home windows, AIX, Linux, and Macintosh OS X utilizing essentially C++, C#, C, Perl, Bash, and Python. The consistent want for engaged on a number of structures obviously led Cody to the wxPython toolkit, which he has used for numerous years. he's the writer of wxPython 2.8 software improvement Cookbook, Packt Publishing and has additionally contributed to the advance of the wxPython library. Cody is attracted to selling move platform improvement practices and bettering usability in software.

Table of Contents

  1. wxPython beginning Points
  2. Common person Controls
  3. UI structure and Organization
  4. Containers and complex Controls
  5. Data monitors and Grids
  6. Ways to inform and Alert
  7. Requesting and Retrieving Information
  8. User Interface Primitives
  9. Creating and Customizing Components
  10. Getting Your software prepared for Release

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Mastering Python Regular Expressions

By Victor Romero

Leverage general expressions in Python even for the main complicated features

About This Book

  • Explore the workings of normal Expressions in Python
  • Learn all approximately optimizing standard expressions utilizing RegexBuddy
  • Full of functional and step by step examples, assistance for functionality, and ideas for performance-related difficulties confronted by way of clients all around the world

Who This publication Is For

This e-book is aimed toward Python builders who are looking to how you can leverage average Expressions in Python. easy wisdom of Python is needed for a greater understanding.

What you are going to Learn

  • Explore the average expressions syntax
  • Improve the clarity and destiny upkeep of the regex
  • Find suggestions for average issues of average expressions
  • Familiarize your self with fit and seek operations
  • Leverage the go searching strategy to create strong general expressions
  • Gain perception at the makes use of of Groups
  • Get to understand how the regex engine works throughout the Backtracking process
  • Enhance the functionality of your commonplace expressions

In Detail

Regular expressions are utilized by many textual content editors, utilities, and programming languages to look and manage textual content in response to styles. they're thought of the Swiss military knife of textual content processing. robust seek, substitute, extraction and validation of strings, repetitive and intricate initiatives are lowered to an easy development utilizing ordinary expressions.

Mastering Python commonplace Expressions will educate you approximately general Expressions, ranging from the fundamentals, without reference to the language getting used, after which it's going to assist you use them in Python. you are going to study the finer info of what Python helps and the way to do it, and the diversities among Python 2.x and Python 3.x.

The e-book begins with a normal overview of the speculation in the back of the usual expressions to stick with with an summary of the Python regex module implementation, after which strikes directly to complicated themes like grouping, taking a look round, and performance.

You will discover tips on how to leverage commonplace Expressions in Python, a few complex points of normal Expressions and in addition the best way to degree and increase their functionality. you'll get a greater realizing of the operating of alternators and quantifiers. additionally, you'll understand the significance of grouping ahead of eventually relocating directly to functionality optimization recommendations just like the RegexBuddy instrument and Backtracking.

Mastering Python commonplace Expressions offers the entire details crucial for a greater knowing of standard Expressions in Python.

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Learning IPython for Interactive Computing and Data Visualization - Second Edition

By Cyrille Rossant

Get begun with Python for info research and numerical computing within the Jupyter notebook

About This Book

  • Learn the fundamentals of Python within the Jupyter Notebook
  • Analyze and visualize facts with pandas, NumPy, matplotlib, and seaborn
  • Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel

Who This ebook Is For

This e-book ambitions scholars, academics, researchers, engineers, analysts, reporters, hobbyists, and all information fanatics who're drawn to interpreting and visualizing real-world datasets. when you are new to programming and information research, this publication is strictly for you. if you are already acquainted with one other language or research software program, additionally, you will savour this advent to the Python information research platform. eventually, there are extra technical themes for complex readers. No earlier adventure is needed; this publication comprises every thing you must know.

What you are going to Learn

  • Install Anaconda and code in Python within the Jupyter Notebook
  • Load and discover datasets interactively
  • Perform advanced info manipulations successfully with pandas
  • Create enticing information visualizations with matplotlib and seaborn
  • Simulate mathematical versions with NumPy
  • Visualize and procedure photographs interactively within the Jupyter computing device with scikit-image
  • Accelerate your code with Numba, Cython, and IPython.parallel
  • Extend the computer interface with HTML, JavaScript, and D3

In Detail

Python is a ordinary and robust programming language. IPython deals a handy interface to the language and its research libraries, whereas the Jupyter computing device is a wealthy setting well-adapted to info technology and visualization. jointly, those open resource instruments are wide-spread through rookies and specialists world wide, and in an important number of fields and endeavors.

This ebook is a beginner-friendly consultant to the Python info research platform. After an creation to the Python language, IPython, and the Jupyter pc, you are going to find out how to examine and visualize info on real-world examples, easy methods to create graphical person interfaces for picture processing within the pc, and the way to accomplish quick numerical computations for clinical simulations with NumPy, Numba, Cython, and ipyparallel. via the top of this publication, it is possible for you to to accomplish in-depth analyses of every type of data.

Style and approach

This is a hands-on beginner-friendly consultant to investigate and visualize info on real-world examples with Python and the Jupyter Notebook.

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Python Forensics: A workbench for inventing and sharing digital forensic technology

By Chet Hosmer

Python Forensics offers many never-before-published confirmed forensic modules, libraries, and suggestions that may be used correct out of the field. moreover, certain guideline and documentation supplied with the code samples will permit even beginner Python programmers so as to add their very own exact twists or use the types provided to construct new solutions.

Rapid improvement of latest cybercrime research instruments is a vital component in almost each case and atmosphere. even if you're acting autopsy research, executing dwell triage, extracting facts from cellular units or cloud prone, otherwise you are amassing and processing proof from a community, Python forensic implementations can fill within the gaps.

Drawing upon years of functional adventure and utilizing various examples and illustrative code samples, writer Chet Hosmer discusses the best way to:

  • Develop new forensic ideas self sustaining of enormous seller software program free up schedules
  • Participate in an open-source workbench that allows direct involvement within the layout and implementation of recent tools that increase or change latest instruments
  • Advance your occupation via developing new strategies in addition to the development of state of the art automation options to resolve outdated problems
  • Provides hands-on instruments, code samples, and distinct guideline and documentation that may be positioned to take advantage of immediately
  • Discusses the way to create a Python forensics workbench
  • Covers powerful forensic looking out and indexing utilizing Python
  • Shows tips to use Python to check cellular machine working platforms: iOS, Android, and home windows eight
  • Presents whole assurance of ways to exploit Python scripts for community investigation

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Coding for Penetration Testers: Building Better Tools

By Jason Andress, Ryan Linn

Tools used for penetration checking out are usually bought or downloaded from the net. every one device is predicated on a programming language comparable to Perl, Python, or Ruby. If a penetration tester desires to expand, increase, or switch the performance of a device to accomplish a try out otherwise than the default configuration, the tester needs to comprehend the fundamentals of coding for the similar programming language. Coding for Penetration Testers offers the reader with an figuring out of the scripting languages which are ordinary while constructing instruments for penetration trying out. It additionally publications the reader via particular examples of customized software improvement and the occasions the place such instruments will be used. whereas constructing a greater figuring out of every language, the reader is guided via real-world situations and power improvement that may be integrated right into a tester's toolkit.

  • Discusses using numerous scripting languages in penetration testing
  • Presents step by step directions on find out how to construct personalized penetration trying out instruments utilizing Perl, Ruby, Python, and different languages
  • Provides a primer on scripting together with, yet no longer restricted to, internet scripting, scanner scripting, and exploitation scripting

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Python Programming for Arduino

By Pratik Desai

Develop useful net of items prototypes and purposes with Arduino and Python

About This Book

  • Transform your principles into real-world purposes utilizing Arduino and Python
  • Design and increase prototypes, interactive consumer interfaces, and cloud-connected functions to your projects
  • Explore and extend examples to counterpoint your attached device's functions with this step by step guide

Who This booklet Is For

This is the e-book for you while you are a pupil, hobbyist, developer, or fashion designer with very little programming and prototyping event, and also you are looking to improve IoT applications.

If you're a software program developer or a clothier and need to create attached units functions, then this ebook might help you get started.

What you are going to Learn

  • Design and advance your individual prototypes utilizing Arduino
  • Interface Arduino to a working laptop or computer utilizing the Firmata protocol and Python
  • Acquire hands-on adventure in constructing purposes for quite a few renowned sensors
  • Develop graphical consumer interfaces to manage your elements and plots to imagine sensor data
  • Access your Arduino prototype from the Internet
  • Implement messaging protocols for Arduino communication
  • Connect your venture to cloud-based services
  • Create complex web of items purposes via initiatives within the book

In Detail

The destiny belongs to purposes and companies that contain hooked up units, requiring actual parts to speak with web-level purposes. Arduino mixed with the preferred open resource software program platform Python can be utilized to strengthen the subsequent point of complicated web of items (IoT) tasks with graphical person interfaces and Internet-connected applications.

Starting with designing prototypes utilizing Arduino, this e-book will then exhibit you every little thing you must recognize with the intention to enhance advanced cloud functions. you'll delve into domain-specific subject matters with incremental complexity, finishing with real-world initiatives. you are going to fast discover ways to enhance person interfaces, plots, distant entry, messaging protocols, and cloud connectivity. each one successive subject, observed by way of lots of examples, may also help you advance your state of the art applications.

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Python Text Processing with NLTK 2.0 Cookbook

By Jacob Perkins

Use Python's NLTK suite of libraries to maximise your typical Language Processing functions. * speedy become familiar with average Language Processing ? with textual content research, textual content Mining, and past * learn the way machines and crawlers interpret and technique traditional languages * simply paintings with large quantities of knowledge and the right way to deal with disbursed processing * a part of Packt's Cookbook sequence: every one recipe is a delicately geared up series of directions to accomplish the duty as successfully as attainable intimately typical Language Processing is used far and wide ? in se's, spell checkers, cellphones, machine video games ? even your washer. Python's traditional Language Toolkit (NLTK) suite of libraries has swiftly emerged as probably the most effective instruments for typical Language Processing. you must hire not anything lower than the simplest thoughts in traditional Language Processing ? and this publication is your solution. Python textual content Processing with NLTK 2.0 Cookbook is your convenient and illustrative advisor, for you to stroll you thru all of the ordinary Language Processing suggestions in a step?by-step demeanour. it is going to demystify the complex positive factors of textual content research and textual content mining utilizing the great NLTK suite. This ebook cuts brief the preamble and also you dive correct into the technological know-how of textual content processing with a pragmatic hands-on process. start off with studying tokenization of textual content. Get an summary of WordNet and the way to exploit it. research the fundamentals in addition to complex gains of Stemming and Lemmatization. notice numerous how you can change phrases with less complicated and extra universal (read: extra searched) versions. Create your individual corpora and discover ways to create customized corpus readers for JSON records in addition to for information kept in MongoDB. Use and manage POS taggers. remodel and normalize parsed chunks to provide a canonical shape with out altering their that means. Dig into characteristic extraction and textual content type. how you can simply deal with large quantities of knowledge with none loss in potency or pace. This ebook will train you all that and past, in a hands-on learn-by-doing demeanour. Make your self a professional in utilizing the NLTK for ordinary Language Processing with this useful significant other. What you'll study from this publication * study textual content categorization and subject id * research Stemming and Lemmatization and the way to head past the standard spell checker * exchange negations with antonyms on your textual content * learn how to tokenize phrases into lists of sentences and phrases, and achieve an perception into WordNet * remodel and manage chunks and timber * study complex good points of corpus readers and create your individual customized corpora * Tag diversified elements of speech by way of growing, education, and utilizing a part-of-speech tagger * increase accuracy by way of combining a number of part-of-speech taggers * methods to do partial parsing to extract small chunks of textual content from a part-of-speech tagged sentence * Produce an alternate canonical shape with no altering the that means via normalizing parsed chunks * find out how se's use usual Language Processing to procedure textual content * Make your website extra discoverable through studying how one can immediately change phrases with extra searched equivalents * Parse dates, occasions, and HTML * teach and manage types of classifiers technique The learn-by-doing process of this booklet will provide help to dive correct into the center of textual content processing from the first actual web page. each one recipe is thoroughly designed to satisfy your urge for food for ordinary Language Processing. filled with a number of illustrative examples and code samples, it'll make the duty of utilizing the NLTK for traditional Language Processing effortless and easy. Who this e-book is written for This ebook is for Python programmers who are looking to speedy become familiar with utilizing the NLTK for common Language Processing. Familiarity with easy textual content processing ideas is needed. Programmers skilled within the NLTK also will locate it necessary. scholars of linguistics will locate it priceless.

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Python Unlocked

Key Features

  • Write smarter, bug-free, excessive functionality code with minimum effort
  • Uncover the simplest instruments and techniques to be had to Python builders today
  • Deploy decorators, layout patters, and diverse optimization options to exploit Python 3.5 effectively

Book Description

Python is a flexible programming language that may be used for a variety of technical tasks―computation, information, information research, video game improvement, and extra. although Python is straightforward to profit, it truly is variety of positive aspects capability there are numerous facets of it that even skilled Python builders do not know approximately. no matter if you are convinced with the fundamentals, its good judgment and syntax, via digging deeper you could paintings even more successfully with Python – and get extra from the language.

Python Unlocked walks you thru the simplest innovations and most sensible practices for prime functionality Python programming - exhibiting you the way to utilize the Python language. you will get to grasp gadgets and capabilities in and out, and should tips on how to use them on your virtue on your programming tasks. additionally, you will easy methods to paintings with a number layout styles together with summary manufacturing unit, singleton, process development, all of with the intention to assist in making programming with Python even more effective. eventually, because the technique of writing a software isn't whole with out trying out it, you are going to learn how to try threaded purposes and run parallel tests.

If you will have the sting in terms of Python, use this e-book to release the secrets and techniques of smarter Python programming.

What you are going to learn

  • Manipulate item production procedures for cases, periods, and functions
  • Use the absolute best language constructs to jot down facts constructions with large pace and maintainability
  • Make effective use of layout styles to diminish improvement time and make your code extra maintainable
  • Write greater try out situations with a stronger realizing of the checking out framework of Python and unittests, and become aware of the right way to advance new functionalities in it
  • Write fully-optimized code with the Python language via profiling, compiling C modules, and more
  • Unlock asynchronous programming to construct effective and scalable applications

About the Author

Arun Tigeraniya has a BE in electronics and conversation. After his commencement, he labored at numerous businesses as a Python developer. His major expert pursuits are AI and large information. He enjoys writing effective and testable code, and fascinating technical articles. He has labored with open resource expertise considering that 2008. He at the moment works at Jaarvis Labs constrained, India.

Table of Contents

  1. Objects in Depth
  2. Namespaces and Classes
  3. Functions and Utilities
  4. Data constructions and Algorithms
  5. Elegance with layout Patterns
  6. Test-Driven Development
  7. Optimization Techniques
  8. Scaling Python

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Learning Data Mining with Python

Harness the facility of Python to research facts and create insightful predictive models

About This Book

  • Learn information mining in useful phrases, utilizing a large choice of libraries and techniques
  • Learn how to define, manage, and study information utilizing Python
  • Step-by-step directions on developing real-world purposes of knowledge mining techniques

Who This e-book Is For

If you're a programmer who desires to start with info mining, then this publication is for you.

What you'll Learn

  • Apply facts mining ideas to real-world problems
  • Predict the result of activities suits in response to earlier results
  • Determine the writer of a record in line with their writing style
  • Use APIs to obtain datasets from social media and different on-line services
  • Find and extract solid positive factors from tricky datasets
  • Create versions that remedy real-world problems
  • Design and boost information mining functions utilizing quite a few datasets
  • Set up reproducible experiments and generate powerful results
  • Recommend videos, on-line celebrities, and information articles in response to own preferences
  • Compute on huge info, together with real-time facts from the Internet

In Detail

The subsequent step within the info age is to realize insights from the deluge of knowledge coming our means. info mining presents a manner of discovering this perception, and Python is likely one of the hottest languages for info mining, supplying either energy and suppleness in analysis.

This e-book teaches you to layout and boost information mining purposes utilizing numerous datasets, beginning with uncomplicated class and affinity research. subsequent, we movement directly to extra complicated info forms together with textual content, pictures, and graphs. In each bankruptcy, we create types that clear up real-world problems.

There is a wealthy and sundry set of libraries on hand in Python for information mining. This publication covers a multitude, together with the IPython pc, pandas, scikit-learn and NLTK.

Each bankruptcy of this ebook introduces you to new algorithms and methods. by way of the top of the e-book, you'll achieve a wide perception into utilizing Python for information mining, with a superb wisdom and knowing of the algorithms and implementations.

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Mastering Object-oriented Python

Key Features

  • Create purposes with versatile logging, strong configuration and command-line innovations, computerized unit checks, and stable documentation
  • Use the Python distinctive easy methods to combine seamlessly with integrated good points and the normal library
  • Design sessions to aid item endurance in JSON, YAML, Pickle, CSV, XML, Shelve, and SQL

Book Description

An object-oriented method of Python net improvement offers a way more fully-realised event of the language. the pliability and tool of Python, mixed with the advancements in layout, coding and software program upkeep that object-oriented programming permits, is outfitted to answer the demanding situations of an increasing number of advanced and data-intensive program improvement, making tough initiatives even more practicable. This e-book has been designed to make this subtle method of programming more uncomplicated to benefit quick, supplying you with a transparent and coherent studying journey.

Beginning through a variety of layout styles for the _init_() approach, you'll how to successfully use a number Python s unique how to create sessions that combine with Python s integrated gains, and locate distinct explorations and demonstrations of callables and contexts, boxes and collections, numbers, and interior decorators and mixins, with a spotlight on top practices for potent and profitable layout. The ebook additionally positive factors details that demonstrates find out how to create chronic gadgets utilizing JSON, YAML, Pickle, CSV, XML, Shelve and SQL and indicates you ways to transmit items among approaches. Going additional into OOP, you ll locate specialist details on logging, warnings, unit checking out in addition to operating with the command line.

Structured in three components to make the complexity of OOP extra viable - Pythonic periods through particular tools, endurance and Serialization and trying out, Debugging, Deploying, and keeping this ebook bargains deep perception into OOP that can assist you boost professional point object-oriented Python skills.

What you'll learn

  • Create functions with versatile logging, robust configuration and command-line strategies, automatic unit assessments, and reliable documentation
  • Get to grips with assorted layout styles for the __init__() method
  • Design callable items and context managers
  • Perform item serialization in codecs corresponding to JSON, YAML, Pickle, CSV, and XML
  • Map Python items to a SQL database utilizing the integrated SQLite module
  • Transmit Python gadgets through RESTful net services
  • Devise options for automatic unit checking out, together with find out how to use the doctest and the unittest.mock module
  • Parse command-line arguments and combine this with configuration documents and surroundings variables

About the Author

Steven F. Lott has been programming because the 70s, whilst desktops have been huge, dear, and infrequent. As a freelance software program developer and architect, he has labored on enormous quantities of initiatives, from very small to huge. he is been utilizing Python to unravel enterprise difficulties for over 10 years.

Table of Contents

  1. The _init_() Method
  2. Integrating Seamlessly with simple Python designated Methods
  3. Attribute entry, homes, and Descriptors
  4. The ABCs of constant Design
  5. Using Callables and Contexts
  6. Creating Contrainers and Collections
  7. Creating Numbers
  8. Decorators and Mixins: Cross-Cutting Aspects
  9. Serializing and Saving JSON, YAML, Pickle, CSV, and XML
  10. Storing and Retrieving items through Shelve
  11. Storing and Retrieving gadgets through SQLite
  12. Transmitting and Sharing Objects
  13. Configuration documents and Persistence
  14. The Logging and caution Modules
  15. Designing for Testability
  16. Coping with the Command Line

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