Download web2py Application Development Cookbook by Richard Gordon, Pablo Martin Mulone, Mariano Reingart, PDF

By Richard Gordon, Pablo Martin Mulone, Mariano Reingart, Visit Amazon's Bruno Cezar Rocha Page, search results, Learn about Author Central, Bruno Cezar Rocha, , Jonathan Lundell, Michele Comitini, Massimo Di Pierro

This can be a cookbook and you can learn the chapters in any order. The recipes don't need to be learn sequentially. There are a very good volume of code examples and suitable screenshots to ease studying pains. the objective viewers are Python builders with simple wisdom of web2py who are looking to achieve additional wisdom of web2py

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Download Think Complexity: Complexity Science and Computational by Allen B. Downey PDF

By Allen B. Downey

Expand your Python talents by means of operating with info buildings and algorithms in a clean context—through an eye-opening exploration of complexity technological know-how. even if you’re an intermediate-level Python programmer or a pupil of computational modeling, you’ll delve into examples of complicated structures via a sequence of routines, case reviews, and easy-to-understand explanations.

You’ll paintings with graphs, set of rules research, scale-free networks, and mobile automata, utilizing complicated gains that make Python the sort of strong language. excellent as a textual content for classes on Python programming and algorithms, Think Complexity also will aid self-learners achieve worthy event with themes and ideas they may not come upon otherwise.
* paintings with NumPy arrays and SciPy equipment, easy sign processing and quick Fourier remodel, and hash tables
* examine summary versions of advanced actual structures, together with energy legislation, fractals and red noise, and Turing machines
* Get starter code and ideas that will help you re-implement and expand unique experiments in complexity
* discover the philosophy of technology, together with the character of clinical legislation, concept selection, realism and instrumentalism, and different subject matters
* research case experiences of advanced platforms submitted by way of scholars and readers

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Download The Python Standard Library by Example by Doug Hellmann PDF

By Doug Hellmann

Grasp the strong Python typical Library via actual Code Examples

The Python ordinary Library includes countless numbers of modules for interacting with the working approach, interpreter, and Internet—all largely proven and able to jump-start your software improvement. The Python normal Library through instance 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 weblog sequence, writer and Python specialist Doug Hellmann specializes in “showing” now not “telling.” He explains code habit via downloadable examples that absolutely display every one feature.

You’ll locate sensible code for operating with textual content, facts kinds, algorithms, math, dossier platforms, networking, the net, XML, electronic mail, cryptography, concurrency, runtime and language providers, and masses extra. every one part totally covers one module, and hyperlinks to priceless extra assets, making this ebook an awesome instructional and reference.

Coverage includes
* Manipulating textual content with string, textwrap, re, and difflib
* enforcing information constructions: collections, array, queue, struct, replica, and more
* examining, writing, and manipulating records and directories
* normal expression trend matching
* replacing information and delivering for endurance Archiving and information compression
* handling tactics and threads
* utilizing program “building blocks”: parsing command-line ideas, prompting for passwords, scheduling occasions, and logging
* trying out, debugging, and compilation
* Controlling runtime configuration
* utilizing module and package deal utilities

If you’re new to Python, this e-book will fast offer you entry to a complete new global of performance. If you’ve labored with Python sooner than, you’ll realize new, strong strategies and higher how one can use the modules you’ve already attempted.

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Download Python Cookbook (2nd Edition) by Alex Martelli, David Ascher, Anna Ravenscroft PDF

By Alex Martelli, David Ascher, Anna Ravenscroft

Portable, robust, and a breeze to exploit, Python is the preferred open resource object-oriented programming language used for either standalone courses and scripting purposes. it really is now getting used by way of a growing number of significant enterprises, together with NASA and Google.

Updated for Python 2.4, The Python Cookbook, 2d variation bargains a wealth of worthwhile code for all Python programmers, not only complicated practitioners. Like its predecessor, the hot version presents strategies to difficulties that Python programmers face everyday.

It now comprises over 2 hundred recipes that diversity from uncomplicated initiatives, akin to operating with dictionaries and record comprehensions, to advanced initiatives, comparable to tracking a community and construction a templating approach. This revised model additionally comprises new chapters on subject matters similar to time, funds, and metaprogramming.

Here's a listing of extra themes covered:
* Manipulating textual content
* looking out and sorting
* operating with records and the filesystem
* Object-oriented programming
* facing threads and methods
* method management
* Interacting with databases
* developing person interfaces
* community and internet programming
* Processing XML
* allotted programming
* Debugging and testing
one other benefit of The Python Cookbook, 2d version is its trio of authors--three recognized Python programming specialists, who're hugely noticeable on electronic mail lists and in newsgroups, and communicate usually at Python conferences.
With ratings of sensible examples and pertinent history details, The Python Cookbook, second variation is the only resource you wish if you're seeking to construct effective, versatile, scalable, and well-integrated systems.

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Download Introduction to Programming Concepts with Case Studies in by Göktürk Üçoluk, Sinan Kalkan PDF

By Göktürk Üçoluk, Sinan Kalkan

The present textual content offers a transparent creation to desktop technological know-how techniques in a programming surroundings. it really is designed as compatible use in freshman- or introductory point coursework in CS and gives the basic strategies in addition to summary theorems for fixing computational difficulties. The Python language serves as a medium for illustrating and demonstrating the strategies.

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Download Programming Google App Engine: Build and Run Scalable Web by Dan Sanderson PDF

By Dan Sanderson

I have labored with the App Engine for roughly six months and feature won so much of my wisdom from the net documentation. I want I had had this ebook whilst i began. this is often the simplest clarification i have noticeable of entities and the way they relate to transactions. The code examples in Python and Java are tremendous invaluable and provides nice perception into how the 2 languages procedure the App Engine abstractions. The sections on info modeling and Django integration are relatively strong. not just did this booklet fill in gaps in my wisdom, however it is adequately unique that i am definite i'll hold it on my table as a reference. i have attempted the opposite App Engine books and this is often by means of some distance the simplest. when you have any curiosity within the App Engine, begin the following.

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Download Python, PyGame and Raspberry Pi Game Development by Sloan Kelly PDF

By Sloan Kelly

Achieve the fundamentals of Python and use PyGame to create fast moving games with nice pictures and sounds. Youll additionally find out about item orientated programming (OOP) in addition to layout styles like model-view-controller (MVC) and finite kingdom machines (FSMs). Python, PyGame and Raspberry Pi online game improvement teaches you ways to take advantage of Python and PyGame in your machine. no matter if you utilize home windows, macOS, Linux, or a Raspberry Pi you could unharness the facility of Python and PyGame to create nice taking a look video games. integrated within the textual content are entire code listings and motives for «Bricks,» «Snake» and «Invaders»– 3 fully-working video games. those let you start making your individual nice video games. regulate them or construct your individual fascinating titles. What Youll research achieve the fundamentals of Python and hire it for online game improvement layout your video game construct video games utilizing online game tasks as templates like Bricks, Snake, and Invaders paintings with consumer outlined features, inheritance, composition, and aggregation upload sound for your video games enforce finite kingdom machines

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Download Instant SymPy Starter by Ronan Lamy PDF

By Ronan Lamy

Learn to exploit SymPy's symbolic engine to simplify Python calculations

• research whatever new straight away! a quick, quick, targeted consultant providing quick results
• organize the simplest computing atmosphere with IPython pc, SymPy, and your whole favourite Python libraries
• tips on how to streamline your computations with machine algebra
• assemble symbolic expressions into effective numerical functions

In Detail

Symbolic computation is using algorithms and software program to accomplish unique calculations on symbolic mathematical expressions. It has ordinarily been the look after of monolithic computing device algebra structures. SymPy places its energy inside of effortless succeed in of all Python programmers, simply an import assertion away.

Instant SymPy Starter is an advent to the fascinating global of symbolic computation in Python. With hands-on examples and functional recommendation, you are going to examine every thing you want to combine SymPy into your workflow and to make the simplest use of its functionalities.

This publication will consultant you in your trip with SymPy, from developing your improvement setting to integrating SymPy into your workflow, with many helpful counsel. you'll find how you can manage a robust atmosphere for either symbolic and numerical computations inside of IPython laptop, and find out how to successfully hire symbolic computation on your numerical calculations. you could stick with the examples alongside by yourself method as all of the code comes in downloadable IPython notebooks. when you've got by no means used IPython sooner than, you need to contemplate this because the excellent get together to start.

What you are going to examine from this book
• Translating mathematical expressions into SymPy objects
• Compiling symbolic expressions into numerical functions
• Computing particular derivatives and Taylor expansions automatically
• Getting designated effects for sophisticated integrals
• fixing structures of equations


Get to grips with a brand new know-how, comprehend what it truly is and what it will probably do for you, after which get to paintings with an important gains and tasks.Learning SymPy Starter is an easy-to comprehend, useful advisor filled with real-world examples. It covers every thing from the deploy steps to the varied gains supplied by way of SymPy.

Who this ebook is written for

This e-book is for Python builders. a superb grounding in Python is believed, in addition to a little familiarity with its medical ecosystem.

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Download Genetic Algorithms with Python by Clinton Sheppard PDF

By Clinton Sheppard

Get a hands-on creation to desktop studying with genetic algorithms utilizing Python. step by step tutorials construct your talents from hi international! to optimizing one genetic set of rules with one other, and at last genetic programming; therefore getting ready you to use genetic algorithms to difficulties on your personal box of expertise. 


Genetic algorithms are one of many instruments you should use to use computer studying to discovering stable, occasionally even optimum, recommendations to difficulties that experience billions of capability ideas. This e-book supplies event making genetic algorithms be just right for you, utilizing easy-to-follow instance tasks so that you can fall again upon while studying to take advantage of different desktop studying instruments and strategies. every one bankruptcy is a step by step educational that is helping to construct your abilities at utilizing genetic algorithms to unravel difficulties utilizing Python. 

Python is a high-level, low rite and strong language whose code could be simply understood even by means of entry-level programmers. when you've got event with one other programming language then you definately shouldn't have any trouble studying Python through induction.

  • A short advent to genetic algorithms 
  • Chapter 1: hi World!- wager a password given the variety of right letters within the bet. construct a mutation engine. 
  • Chapter 2: One Max challenge- Produce an array of bits the place all are 1s. Expands the engine to paintings with any kind of gene.  
  • Chapter three: looked after Numbers- Produce a looked after integer array. Demonstrates dealing with a number of health targets and constraints among genes.  
  • Chapter four: The eight Queens Puzzle- locate secure Queen positions on an 8x8 board after which extend to NxN. Demonstrates the variation among phenotype and genotype. 
  • Chapter five: Graph Coloring- colour a map of the U.S. utilizing purely four colours. Introduces typical info units and dealing with records. additionally introduces utilizing principles to paintings with gene constraints. 
  • Chapter 6: Card challenge- extra gene constraints. Introduces customized mutation, memetic algorithms, and the sum-of-difference procedure. additionally demonstrates a chromosome the place the best way a gene is used is determined by its place within the gene array. 
  • Chapter 7: Knights challenge- locate the minimal variety of knights required to assault all positions on a board. Introduces customized genes and gene-array construction. additionally demonstrates neighborhood minimums and maximums.  
  • Chapter eight: Magic Squares- locate squares the place the entire rows, columns and either diagonals of an NxN matrix have an identical sum. Introduces simulated annealing. 
  • Chapter nine: Knapsack challenge- Optimize the content material of a box for a number of variables. Introduces department and sure and variable size chromosomes.  
  • Chapter 10: fixing Linear Equations- locate the strategies to linear equations with 2, three and four unknowns. department and sure edition. Reinforces genotype flexibility. 
  • Chapter eleven: producing Sudoku- A guided workout in producing Sudoku puzzles. 
  • Chapter 12: touring Salesman challenge (TSP)- locate the optimum path to stopover at towns. Introduces crossover and a pool of parents. 
  • Chapter thirteen: Approximating Pi- locate the 2 10-bit numbers whose dividend is closest to Pi. Introduces utilizing one genetic set of rules to track one other.  
  • Chapter 14: Equation new release- locate the shortest equation that produces a particular consequence utilizing addition, subtraction, multiplication, and so on. Introduces symbolic genetic programming. 
  • Chapter 15: The Lawnmower challenge- Generate a chain of directions that reason a lawnmower to chop a box of grass. Genetic programming with keep watch over constructions, gadgets and instantly outlined capabilities (ADFs). 
  • Chapter sixteen: common sense Circuits- Generate circuits that behave like easy gates, gate combos and at last a 2-bit adder. Introduces tree nodes and hill mountaineering.  
  • Chapter 17: standard Expressions- locate typical expressions that fit sought after strings. Introduces chromosome fix and development control. 
  • Chapter 18: Tic-tac-toe- Create principles for taking part in the sport with out wasting. Introduces match selection.

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Download Computational Methods for Bioinformatics for Python 3.4 by Jason Kinser PDF

By Jason Kinser

This textbook presents an creation for computational equipment in bioinformatics utilizing a spreadsheet, Python 3.4 and MySQL. tools are proven to govern uncomplicated info and to execute universal analytical recommendations. this article is designed for the biology pupil that has little or no adventure in computing device research.

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