Python Data Science Essentials - Learn the fundamentals of by Alberto Boschetti

By Alberto Boschetti

Key Features

  • Quickly get acquainted with information technology utilizing Python
  • Save time - and energy - with the entire crucial instruments explained
  • Create potent information technology tasks and keep away from universal pitfalls with assistance from examples and tricks dictated via experience

Book Description

The booklet begins via introducing you to developing your crucial information technology toolbox. Then it's going to advisor you throughout all of the facts munging and preprocessing stages. this may be performed in a way that explains the entire center facts technology actions with regards to loading facts, reworking and solving it for research, in addition to exploring and processing it. eventually, it is going to whole the review through offering you with the most laptop studying algorithms, the graph research technicalities, and the entire visualization tools that could make your existence more straightforward in featuring your results.

In this walkthrough, dependent as a knowledge technology venture, you'll always be observed by way of transparent code and simplified examples that can assist you comprehend the underlying mechanics and real-world datasets.

What you are going to learn

  • Set up your info technology toolbox utilizing a Python clinical surroundings on home windows, Mac, and Linux
  • Get facts prepared in your facts technology project
  • Manipulate, repair, and discover information on the way to remedy facts technology problems
  • Set up an experimental pipeline to check your information technological know-how hypothesis
  • Choose the simplest and scalable studying set of rules on your facts technological know-how tasks
  • Optimize your computing device studying versions to get the simplest performance
  • Explore and cluster graphs, profiting from interconnections and hyperlinks on your data

About the Authors

Alberto Boschetti is a knowledge scientist with services in sign processing and facts. He holds a PhD in telecommunication engineering and at present lives and works in London. In his paintings initiatives, he faces demanding situations related to usual language processing (NLP), desktop studying, and probabilistic graph types everyday.

Luca Massaron is a knowledge scientist and advertising learn director who focuses on multivariate statistical research, computer studying, and shopper perception, with over a decade of expertise in fixing real-world difficulties and producing worth for stakeholders through making use of reasoning, information, info mining, and algorithms.

Table of Contents

  1. First Steps
  2. Data Munging
  3. The information technological know-how Pipeline
  4. Machine Learning
  5. Social community Analysis
  6. Visualization

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Essential SQLAlchemy by Rick Copeland

By Rick Copeland

Crucial SQLAlchemy introduces a high-level open-source code library that makes it more straightforward for Python programmers to entry relational databases comparable to Oracle, DB2, MySQL, PostgreSQL, and SQLite. SQLAlchemy has turn into more and more well known given that its unencumber, however it nonetheless lacks strong offline documentation. This functional publication fills the space, and since a developer wrote it, you get an aim examine SQLAlchemy's instruments instead of an advocate's description of all of the "cool" features.

SQLAlchemy contains either a database server-independent SQL expression language and an object-relational mapper (ORM) that permits you to map "plain outdated Python objects" (POPOs) to database tables with out considerably altering your latest Python code. crucial SQLAlchemy demonstrates easy methods to use the library to create an easy database program, walks you thru uncomplicated queries, and explains the best way to use SQLAlchemy to connect with a number of databases concurrently with an identical Metadata. you furthermore may learn the way to:

* Create customized forms for use on your schema, and whilst it's necessary to exploit customized instead of integrated types
* Run queries, updates, and deletes with SQLAlchemy's SQL expression language
* construct an item mapper with SQLAlchemy, and comprehend the diversities among this and lively list styles utilized in different ORMs
* Create gadgets, retailer them to a consultation, and flush them to the database
* Use SQLAlchemy to version item orientated inheritance
* supply a declarative, lively checklist trend to be used with SQLAlchemy utilizing the Elixir extension
* Use the SQLSoup extension to supply an automated metadata and item version in response to database reflection

In addition, you'll find out how and whilst to take advantage of different extensions to SQLAlchemy, together with AssociationProxy, OrderingList, and more.

Essential SQLAlchemy is the much-needed advisor for each Python developer utilizing this code library. rather than a feature-by-feature documentation, this ebook takes an "essentials" technique that provides you precisely what you want to turn into effective with SQLAlchemy instantly.

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Learning Django Web Development by Sanjeev Jaiswal, Ratan Kumar

By Sanjeev Jaiswal, Ratan Kumar

From notion to prototype, a learner's advisor for internet improvement with the Django program framework

About This Book

  • Build real-life dependent initiatives, one in line with SQL and different in keeping with NoSQL
  • Best practices to code, debug, and installation the Django net application
  • Easy to persist with directions and actual international examples to construct powerful Django net application

Who This booklet Is For

This booklet is for internet builders who are looking to start with Django for internet improvement. uncomplicated wisdom of Python programming is needed yet no wisdom of Django is expected.

In Detail

Django, written in Python, is an online program framework designed to construct complicated internet functions fast with none trouble. It loosely follows the MVC trend and adheres to the do not Repeat your self precept, which makes a database-driven program effective and hugely scalable, and is via a ways the preferred and mature Python internet framework.

This booklet is a guide that can assist you construct an easy but powerful Django net program. It begins via introducing Django, environment it up, and indicates you the way to code uncomplicated courses. you'll then learn how to construct your first Twitter-like app. afterward, you can be brought to Hashtags, AJAX to reinforce the person interface, and tweets. you'll then flow directly to create an management interface, examine database connectivity, and use third-party libraries. then you definately will learn how to debug and install Django tasks, and likewise get a glimpse of Django with AngularJS and Elasticsearch. via the top of the e-book, it is possible for you to to leverage the Django framework to enhance a completely useful net program with minimum effort.

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Introduction to Computation and Programming Using Python by John V. Guttag

By John V. Guttag

This publication introduces scholars with very little past programming event to the artwork of computational challenge fixing utilizing Python and diverse Python libraries, together with PyLab. It presents scholars with talents that would allow them to make effective use of computational options, together with many of the instruments and methods of "data science" for utilizing computation to version and interpret info. The publication relies on an MIT path (which turned the most well-liked direction provided via MIT's OpenCourseWare) and was once built to be used not just in a standard lecture room yet in a major open on-line path (or MOOC) provided by means of the pioneering MIT-Harvard collaboration edX.

Students are brought to Python and the fundamentals of programming within the context of such computational techniques and strategies as exhaustive enumeration, bisection seek, and effective approximation algorithms. The ebook doesn't require wisdom of arithmetic past highschool algebra, yet does suppose that readers are pleased with rigorous considering and never intimidated via mathematical recommendations. even though it covers such conventional subject matters as computational complexity and easy algorithms, the publication makes a speciality of quite a lot of issues now not present in such a lot introductory texts, together with info visualization, simulations to version randomness, computational concepts to appreciate info, and statistical strategies that tell (and mislead) in addition to similar yet really complex issues: optimization difficulties and dynamic programming. creation to Computation and Programming utilizing Python can function a stepping-stone to extra complicated laptop technology classes, or as a easy grounding in computational challenge fixing for college kids in different disciplines.

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Python Cookbook (3rd Edition) by Brian K. Jones, David Beazley

By Brian K. Jones, David Beazley

Publish 12 months note: First released in 1996
------------------------

If you would like support writing courses in Python three, or are looking to replace older Python 2 code, this ebook is simply the price tag. filled with functional recipes written and established with Python 3.3, this particular cookbook is for knowledgeable Python programmers who are looking to specialise in smooth instruments and idioms.

Inside, you’ll locate whole recipes for greater than a dozen issues, protecting the middle Python language in addition to initiatives universal to a wide selection of program domain names. every one recipe comprises code samples you should use on your initiatives at once, besides a dialogue approximately how and why the answer works.

Topics include:
• information buildings and Algorithms
• Strings and Text
• Numbers, Dates, and Times
• Iterators and Generators
• records and I/O
• info Encoding and Processing
• Functions
• periods and Objects
• Metaprogramming
• Modules and Packages
• community and internet Programming
• Concurrency
• software Scripting and method Administration
• checking out, Debugging, and Exceptions
• C Extensions

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Build a Game with UDK by Geoff Sholler

By Geoff Sholler

The artificial Engine is utilized in many video games out out there. Its extensively utilized in different industries for issues akin to simulation. whatever the use, any product utilizing the bogus Engine also will use the artificial improvement package and the instruments inside of it. This publication will conceal many of the instruments integrated within the Unreal improvement package.

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Building Machine Learning Systems with Python (2nd Edition) by Willi Richert, Luis Pedro Coelho

By Willi Richert, Luis Pedro Coelho

Get extra out of your facts via developing sensible desktop studying platforms with Python
About This Book

construct your personal Python-based computer studying structures adapted to unravel any problem
detect how Python bargains a a number of context answer for create computer studying systems
sensible eventualities utilizing the foremost Python desktop studying libraries to effectively enforce on your projects

Who This booklet Is For

This ebook essentially goals Python builders who are looking to research and use Python's computer studying functions and achieve invaluable insights from information to boost potent options for company problems.
In Detail

Using laptop studying to achieve deeper insights from facts is a key ability required through glossy program builders and analysts alike. Python is an excellent language to strengthen computer studying functions. As a dynamic language, it permits quickly exploration and experimentation. With its very good selection of open resource computer studying libraries you could concentrate on the duty to hand whereas with the ability to fast try many ideas.

This booklet indicates you precisely how to define styles on your uncooked info. you are going to begin by way of brushing up in your Python computing device studying wisdom and introducing libraries. You'll fast familiarize yourself with critical, real-world initiatives on datasets, utilizing modeling, developing suggestion structures. afterward, the booklet covers complex themes comparable to subject modeling, basket research, and cloud computing. those will expand your skills and allow you to create huge complicated systems.

With this e-book, you achieve the instruments and figuring out required to construct your personal platforms, adapted to unravel your real-world info research problems.

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Mastering Machine Learning with scikit-learn by Gavin Hackeling

By Gavin Hackeling

Apply powerful studying algorithms to real-world difficulties utilizing scikit-learn

About This Book
• layout and troubleshoot computer studying structures for universal initiatives together with regression, class, and clustering
• Acquaint your self with well known laptop studying algorithms, together with determination timber, logistic regression, and help vector machines
• a realistic example-based advisor that will help you achieve services in imposing and comparing computer studying platforms utilizing scikit-learn

[ Who This e-book Is For
If you're a software program developer who desires to find out how desktop studying versions paintings and the way to use them successfully, this booklet is for you. Familiarity with computing device studying basics and Python can be necessary, yet isn't really crucial.

What you are going to examine
• evaluate basic suggestions together with supervised and unsupervised studies, universal projects, and function metrics
• are expecting the values of continuing variables utilizing linear regression
• Create representations of records and photographs that may be utilized in computing device studying types
• Categorize files and textual content messages utilizing logistic regression and help vector machines
• Classify photos through their matters
• realize hidden buildings in information utilizing clustering and visualize advanced information utilizing decomposition
• overview the functionality of laptop studying structures in universal initiatives
• Diagnose and redress issues of versions as a result of bias and variance

In element
This publication examines computing device studying types together with logistic regression, choice bushes, and help vector machines, and applies them to universal difficulties akin to categorizing records and classifying photos. It starts off with the basics of desktop studying, introducing you to the supervised-unsupervised spectrum, the makes use of of teaching and try out info, and comparing versions. you are going to tips on how to use generalized linear versions in regression difficulties, in addition to remedy issues of textual content and express features.

You can be familiar with using logistic regression, regularization, and many of the loss services which are utilized by generalized linear types. The booklet also will stroll you thru an instance venture that activates you to label the main doubtful education examples. additionally, you will use an unmanaged Hidden Markov version to foretell inventory prices.

By the tip of the ebook, you may be knowledgeable in scikit-learn and should be good versed in desktop studying

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Genetic Algorithms with Python by Clinton Sheppard

By Clinton Sheppard

Get a hands-on creation to laptop studying with genetic algorithms utilizing Python. step by step tutorials construct your abilities from hi international! to optimizing one genetic set of rules with one other, and eventually 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 laptop studying to discovering stable, occasionally even optimum, strategies to difficulties that experience billions of strength options. This e-book can provide adventure making genetic algorithms give you the results you want, utilizing easy-to-follow instance initiatives for you to fall again upon while studying to exploit different laptop studying instruments and strategies. every one bankruptcy is a step by step instructional that is helping to construct your talents at utilizing genetic algorithms to unravel difficulties utilizing Python. 
  

Python is a high-level, low rite and robust language whose code will be simply understood even by way of entry-level programmers. in case you have event with one other programming language you then should not have any hassle studying Python by means of induction.
   
Contents

  • A short creation 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 pursuits 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 USA utilizing basically four shades. Introduces normal 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 strategy. additionally demonstrates a chromosome the place the way in which 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 certain and variable size chromosomes.  
  • Chapter 10: fixing Linear Equations- locate the ideas to linear equations with 2, three and four unknowns. department and sure version. 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 song one other.  
  • Chapter 14: Equation iteration- locate the shortest equation that produces a selected end result 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 an eye on buildings, items and instantly outlined services (ADFs). 
  • Chapter sixteen: good judgment Circuits- Generate circuits that behave like uncomplicated gates, gate combos and at last a 2-bit adder. Introduces tree nodes and hill mountaineering.  
  • Chapter 17: common Expressions- locate general expressions that fit sought after strings. Introduces chromosome fix and development control. 
  • Chapter 18: Tic-tac-toe- Create ideas for enjoying the sport with no wasting. Introduces event selection.

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The Definitive Guide to Jython: Python for the Java Platform by Josh Juneau

By Josh Juneau

Jython is an open resource implementation of the high-level, dynamic, object-oriented scripting language Python seamlessly built-in with the Java platform. The predecessor to Jython, JPython, is qualified as a hundred% natural Java. Jython is freely to be had for either advertisement and noncommercial use and is shipped with resource code. Jython is complementary to Java.

The Definitive consultant to Jython, written by way of the professional Jython group leads, covers the most recent Jython 2.5 (or 2.5.x) from the fundamentals to the complex beneficial properties. This e-book starts off with a short advent to the language after which trips via Jython’s diverse good points and uses.

The Definitive advisor to Jython is equipped for rookies in addition to complex clients of the language. The publication presents a common review of the Jython language itself, however it additionally contains intermediate and complex issues relating to database, net, and GUI purposes; internet services/SOA; and integration, concurrency, and parallelism, to call a number of.

What you will learn

  • How to deal with Jython fundamentals like language syntax and concepts
  • How to exploit the Jython scripting language for I/O, Java/Jython integration, and Jython in an IDE and databases
  • How to combine Jython with the Django internet framework or even Spring
  • How to advance internet purposes with Jython together with internet services/SOA, GUI concerns, and deployment targets
  • How to behavior checking out, non-stop integration, concurrency, scaling, and extra with Jython

Who is that this ebook for?

This e-book is for Java net builders seeking to use a dynamic scripting language in its place to Groovy or JRuby. different internet builders who use Python and Django can also be drawn to this book.

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