Think Complexity: Complexity Science and Computational Modeling

Expand your Python talents through operating with facts buildings and algorithms in a fresh context—through an eye-opening exploration of complexity technological know-how. even if you’re an intermediate-level Python programmer or a scholar of computational modeling, you’ll delve into examples of advanced structures via a chain of workouts, case reports, and easy-to-understand explanations.

You’ll paintings with graphs, set of rules research, scale-free networks, and mobile automata, utilizing complex good points that make Python one of these robust language. excellent as a textual content for classes on Python programming and algorithms, Think Complexity also will aid self-learners achieve precious adventure with issues and ideas they won't come across otherwise.

  • Work with NumPy arrays and SciPy equipment, simple sign processing and speedy Fourier rework, and hash tables
  • Study summary types of complicated actual platforms, together with strength legislation, fractals and purple noise, and Turing machines
  • Get starter code and options that will help you re-implement and expand unique experiments in complexity
  • Explore the philosophy of technology, together with the character of clinical legislation, thought selection, realism and instrumentalism, and different topics
  • Examine case reports of complicated platforms submitted by means of scholars and readers

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Python Unlocked

Key Features

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

Book Description

Python is a flexible programming language that may be used for quite a lot of technical tasks―computation, facts, information research, online game improvement, and extra. even though Python is simple to profit, it truly is diversity of beneficial properties capability there are lots of facets of it that even skilled Python builders have no idea approximately. no matter if you are convinced with the fundamentals, its common sense 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 best innovations and most sensible practices for prime functionality Python programming - displaying you the way to utilize the Python language. you will get to understand items and features inside and outside, and should easy methods to use them for your virtue on your programming tasks. additionally, you will how one can paintings with various layout styles together with summary manufacturing facility, singleton, procedure trend, all of so that it will assist in making programming with Python even more effective. ultimately, because the means of writing a software is rarely whole with out trying out it, you are going to discover ways to try threaded purposes and run parallel tests.

If you will want the sting by way of Python, use this ebook to liberate the secrets and techniques of smarter Python programming.

What you'll learn

  • Manipulate item production techniques for circumstances, sessions, and functions
  • Use the very best language constructs to jot down info constructions with tremendous pace and maintainability
  • Make effective use of layout styles to diminish improvement time and make your code extra maintainable
  • Write higher try situations with a more robust knowing of the trying out framework of Python and unittests, and realize the way to advance new functionalities in it
  • Write fully-optimized code with the Python language by way of 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 verbal exchange. After his commencement, he labored at a number of businesses as a Python developer. His major specialist pursuits are AI and massive info. He enjoys writing effective and testable code, and fascinating technical articles. He has labored with open resource know-how given that 2008. He presently 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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Python Programming for the Absolute Beginner, 3rd Edition

By Michael Dawson

When you are new to programming with Python and are searhing for an exceptional advent, this can be the booklet for you. built by means of machine technological know-how teachers, books within the "for absolutely the newbie" sequence train the foundations of programming via basic video game construction. you are going to gather the talents that you simply desire for sensible Python programming functions and may learn the way those abilities should be placed to take advantage of in real-world situations. in the course of the chapters, you will discover code samples that illustrate thoughts awarded. on the finish of every bankruptcy, you will discover an entire online game that demonstrates the main rules within the bankruptcy, a precis of the bankruptcy, and a collection of demanding situations that checks your newfound wisdom. by the point you end this e-book, you will be good versed in Python and manage to practice the fundamental programming rules you've gotten discovered to the following programming language you take on.

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Gray Hat Python: Python Programming for Hackers and Reverse Engineers

By Justin Seitz

Python is quickly turning into the programming language of selection for hackers, opposite engineers, and software program testers simply because it is easy to jot down quick, and it has the low-level help and libraries that make hackers satisfied. yet in the past, there was no genuine guide on tips to use Python for numerous hacking projects. You needed to dig via discussion board posts and guy pages, forever tweaking your individual code to get every thing operating. no longer anymore.

Gray Hat Python explains the strategies in the back of hacking instruments and strategies like debuggers, trojans, fuzzers, and emulators. yet writer Justin Seitz is going past idea, displaying you the way to harness present Python-based defense instruments - and the way to construct your individual whilst the pre-built ones will not minimize it.

You'll find out how to:

  • Automate tedious reversing and safety tasks
  • Design and application your individual debugger
  • Learn easy methods to fuzz home windows drivers and create strong fuzzers from scratch
  • Have enjoyable with code and library injection, tender and tough hooking strategies, and different software program trickery
  • Sniff safe site visitors out of an encrypted net browser session
  • Use PyDBG, Immunity Debugger, Sulley, IDAPython, PyEMU, and more

The world's most sensible hackers are utilizing Python to do their handiwork. should not you?

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Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript

By taking you thru the advance of a true internet software from starting to finish, the up to date moment variation of this hands-on consultant demonstrates the sensible merits of test-driven improvement (TDD) with Python. You’ll how you can write and run checks sooner than development every one a part of your app, after which improve the minimal volume of code required to cross these assessments. the end result? fresh code that works.

Author Harry J.W. Percival makes use of a concrete example—the improvement of a website, from scratch—to train TDD technique and the way it applies to net programming, from the fundamentals of database integration and Javascript to extra complicated subject matters akin to mocking, Ajax, and leisure APIs. it is perfect for relative rookies and self-taught internet builders trying to take their abilities to the subsequent point with a extra dependent approach.

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Python for Everyone

Cay Horstmann?s moment version of Python for everybody presents a accomplished and approachable creation to primary programming suggestions and layout talents, and is helping scholars grasp simple options and develop into efficient coders. The inclusion of complicated chapters makes the textual content appropriate for a 2 or 3-term series, or as a entire connection with programming in Python. significant rewrites and an up-to-date visible layout make this student-friendly textual content much more attractive. jam-packed with lifelike programming examples, an outstanding volume and diversity of homework assignments, and lab workouts that construct scholar problem-solving talents, it really is no shock Python for everybody is the number 1 textual content for early items within the Python marketplace.

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Think Python: How to Think Like a Computer Scientist

If you must methods to application, operating with Python is a wonderful option to commence. This hands-on consultant takes you thru the language a step at a time, starting with easy programming thoughts prior to relocating directly to features, recursion, info buildings, and object-oriented layout. This moment version and its helping code were up to date for Python 3.

Through routines in every one bankruptcy, you’ll test programming strategies as you examine them. imagine Python is perfect for college students on the highschool or university point, in addition to self-learners, home-schooled scholars, and pros who have to study programming fundamentals. novices simply getting their ft rainy will tips on how to commence with Python in a browser.

  • Start with the fundamentals, together with language syntax and semantics
  • Get a transparent definition of every programming concept
  • Learn approximately values, variables, statements, features, and knowledge buildings in a logical progression
  • Discover the best way to paintings with records and databases
  • Understand gadgets, equipment, and object-oriented programming
  • Use debugging concepts to mend syntax, runtime, and semantic errors
  • Explore interface layout, info buildings, and GUI-based courses via case studies

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Data Analysis with Open Source Tools

By Philipp K. Janert

Nowadays it sort of feels like everyone seems to be gathering information. yet all of that information is simply uncooked info -- to make that info significant, it should be equipped, filtered, and analyzed. an individual can practice facts research instruments and get effects, yet with no the appropriate process these effects might be dead.

Author Philipp Janert teaches you ways to think approximately facts: easy methods to successfully strategy facts research difficulties, and the way to extract the entire on hand info out of your info. Janert covers univariate info, information in a number of dimensions, time sequence information, graphical thoughts, info mining, computing device studying, and plenty of different issues. He additionally unearths how seat-of-the-pants wisdom can lead you to the simplest process correct from the beginning, and the way to evaluate effects to figure out if they are meaningful.

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Modern Tkinter for Busy Python Developers: Quickly learn to create great looking user interfaces for Windows, Mac and Linux using Python's standard GUI toolkit

By Mark Roseman

This ebook will speedy get you on top of things with development appealing and smooth graphical consumer interfaces with Python and Tkinter, it truly is general GUI toolkit.

Newer types of Tkinter signify a quantum breakthrough, forsaking the usually grotesque and outmoded Tkinter visual appeal you will be accustomed to. yet previously, it has been tough to determine simply tips on how to reap the benefits of all these fascinating enhancements.

Who this publication is for

This e-book is designed for builders development instruments and purposes in Tk. it is also serious about particularly mainstream graphical consumer interfaces, with buttons, lists, checkboxes, richtext modifying, 2nd images and so forth. So if you are both seeking to hack on Tk's inner C code, or construct the subsequent nice 3D immersive online game interface, this can be not really the cloth for you.

This ebook additionally does not train you the Python programming language (the e-book makes use of Python 3), so that you must have a easy snatch on that already. equally, you'll have a simple familiarity with laptop purposes more often than not, and if you shouldn't have to be a consumer interface clothier, a few appreciation of GUI layout is often helpful.

Whether you're totally new to Tkinter, or simply have to deliver your Tkinter wisdom modern, this booklet provide you with every thing you must begin construction smooth, beautiful Tkinter-based consumer interfaces that run on home windows, Mac and Linux. 

What's during this Book

This booklet brings jointly Python-specific info from the multi-lingual web site, and helps extra improvement of that site.

Topics lined include:

  • fitting Tkinter
  • easy Tk thoughts (widgets, geometry administration, occasion handling)
  • uncomplicated Widgets (frame, label, button, checkbutton, radiobutton, access, combobox)
  • Grid Geometry Manager
  • extra Widgets (listbox, scrollbar, sizegrip, textual content, progressbar, scale, spinbox)
  • Menus (menubars, platform menus, contextual menus)
  • home windows and Dialogs
  • Organizing complicated Interfaces (separator, labelframe, panedwindow, notebook)
  • Fonts, colours and Images
  • Canvas Widget
  • textual content Widget
  • Tree Widget
  • kinds and Themes

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The Python Standard Library by Example

By Doug Hellmann

“Hellmann’s writing has develop into an quintessential source for me etc because it fills a serious hole in Python Documentation with examples.”

– Jesse Noller, Python middle Developer and PSF Board Member

Master the strong Python usual Library via actual Code Examples


The Python regular Library comprises hundreds of thousands of modules for interacting with the working approach, interpreter, and Internet–all broadly validated and able to jump-start your software improvement. The Python ordinary Library by way of instance (2 quantity Set)  introduces nearly each very important zone of the Python 2.7 library via concise, stand-alone resource code/output examples, designed for simple studying and reuse.


Building on his renowned Python Module of the Week blog sequence, writer and Python specialist Doug Hellmann makes a speciality of “showing” now not “telling.” He explains code habit via downloadable examples that totally show every one feature.


You’ll locate sensible code for operating with textual content, facts forms, algorithms, math, dossier platforms, networking, the web, XML, electronic mail, cryptography, concurrency, runtime and language providers, and masses extra. each one part absolutely covers one module, and hyperlinks to precious extra assets, making this booklet an incredible instructional and reference. insurance includes

  • Manipulating textual content with string, textwrap, re, and difflib
  • Implementing information constructions: collections, array, queue, struct, reproduction, and more
  • Reading, writing, and manipulating documents and directories
  • Regular expression development matching
  • Exchanging info and delivering for endurance Archiving and knowledge compression
  • Managing strategies and threads
  • Using program “building blocks”: parsing command-line ideas, prompting for passwords, scheduling occasions, and logging
  • Testing, debugging, and compilation
  • Controlling runtime configuration
  • Using module and package deal utilities

If you’re new to Python, this booklet will quick offer you entry to an entire new global of performance. If you’ve labored with Python sooner than, you’ll become aware of new, strong suggestions and higher how one can use the modules you’ve already tried.

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