Quickstart Python

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Quickstart Python

Author : Christoph Schäfer
Publisher : Springer Nature
ISBN 13 : 3658335521
Total Pages : 61 pages
Book Rating : 4.6/5 (583 download)

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Book Synopsis Quickstart Python by : Christoph Schäfer

Download or read book Quickstart Python written by Christoph Schäfer and published by Springer Nature. This book was released on 2021-12-08 with total page 61 pages. Available in PDF, EPUB and Kindle. Book excerpt: Christoph Schäfer introduces the great world of programming with Python and provides a quick introduction to independent script development. He points out how the programming language Python has established itself in recent years alongside MATLAB and R as a standard at scientific workplaces in research and development, and shows that the great popularity of Python is based on its easy extensibility: It is very easy to use modules from other developers in your own scripts and programs. In particular, the author presents the modules NumPy, SciPy and Matplotlib, which offer scientists and engineers a perfect development environment for scientific and technical computing, for applications in physics, chemistry, biology and computer science. Python is also used in the latest applications in the highly topical fields of Big Data Science and Machine Learning. The author: Dr. Christoph Schäfer teaches and researches in the Department of Computational Physics at the Institute of Astronomy and Astrophysics at the Eberhard Karls University of Tübingen. This Springer essential is a translation of the original German 1st edition essentials, Schnellstart Python by Christoph Schäfer, published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

Python

Author : Toby Donaldson
Publisher : Peachpit Press
ISBN 13 : 0132104121
Total Pages : 288 pages
Book Rating : 4.1/5 (321 download)

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Book Synopsis Python by : Toby Donaldson

Download or read book Python written by Toby Donaldson and published by Peachpit Press. This book was released on 2008-12-04 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains such as Web, database access, desktop GUIs, game and software development, and network programming. Fans of Python use the phrase "batteries included" to describe the standard library, which covers everything from asynchronous processing to zip files. The language itself is a flexible powerhouse that can handle practically any application domain. This task-based tutorial is for students with no programming experience as well as those programmers who have some experience with the programming language and now want to take their skills to the next level. The book walks a reader through all the fundamentals and then moves on to more advanced topics. It's a complete end-to-end tutorial and reference.

Python QuickStart Guide

Author : Robert Oliver
Publisher : ClydeBank Media LLC
ISBN 13 : 1636100368
Total Pages : 370 pages
Book Rating : 4.6/5 (361 download)

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Book Synopsis Python QuickStart Guide by : Robert Oliver

Download or read book Python QuickStart Guide written by Robert Oliver and published by ClydeBank Media LLC . This book was released on 2023-04-24 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn Python fundamentals that can be used in any programming setting – use the guidance in this book to program your own game in a unique and practical Python learning experience. Learning Python opens the door to a world of programming possibilities. From AI and machine learning to video game, app, and web development, Python is a critical behind-the-scenes component of everyday technology. Python powers the services of household names like Google, Netflix, and Spotify along with tech pioneers like NASA, IBM, and Intel. Put simply, Python is the in-demand and easy-to-learn programming language that gets stuff done. In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals. Distilling his experience drawn from over two decades of working with Python and other programming languages, Robert’s clear voice and writing present a practical, hands-on approach that anyone, at any experience level, can use to become a Python programmer. It doesn’t matter if you are a new or existing programmer, a job seeker looking for a career change or promotion, or just someone who wants to learn how to automate basic tasks with Python—Robert’s step-by-step approach, complete with a hands-on companion Python game project, is the perfect starting point to master Python fundamentals! Python QuickStart Guide is Perfect for: - New or experienced programmers looking to enhance their career opportunities with an in-demand programming language - Job seekers who want to supercharge their resumes and increase their value in the job marketplace - Students or recent college grads who have their sights set on a lucrative position in the tech industry - Full stack developers or programmers who need to round out their programming skills to take on new projects - Coding or programming bootcamp students looking for supplemental learning material - Anyone who wants to explore the world of programming, use Python to automate tedious tasks, or enhance their resume and future-proof their skills! Python QuickStart Guide Explains - The best practical approach to learning Python—follow along with the exercises in the book to program your own video game and learn along the way - How to master Python building blocks and build a robust set of programming skills at your own pace - How to avoid common pitfalls new programmers face, how to debug code, and how to eliminate frustrating errors - Coding best practices that anyone can use to level up their programming skills using Python or any other programming language You Will Learn - How to Use Python – Practical Examples, Code Snippets, Plus Follow Along to Code Your Own Game! - Python Fundamentals – How to Use Python for Web Design and Interfacing with GitHub, SQL, and Other Applications - Object-Oriented Programming Principles – Managing Data, Scripts, Logic, Inputs, Outputs, and More! - Programming Essentials – Debugging, Producing Clean Code, Best Practices, Time-Savers, and Tips - Python Next Steps –Testing, Optimization, Speed Improvements, Integrations with Other Applications, and More! *Lifetime Access To Free Python Programming Digital Assets* In addition to the follow-along Python game included with the exercises in the book, Python QuickStart Guide comes with a library of references and cheat sheets to help you go beyond the book and get the most out of your Python learning experience. QuickStart Guides are books for beginners, written by experts. *Giving Back* QuickStart Guides plants trees in areas where they are needed most with the help of our reforestation partner One Tree Planted.

The Quick Python Book

Author : Vernon L. Ceder
Publisher : Manning Publications Company
ISBN 13 : 9781935182207
Total Pages : 336 pages
Book Rating : 4.1/5 (822 download)

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Book Synopsis The Quick Python Book by : Vernon L. Ceder

Download or read book The Quick Python Book written by Vernon L. Ceder and published by Manning Publications Company. This book was released on 2010 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the programming language's syntax, control flow, and basic data structures and covers its interaction with applications and mangement of large collections of code.

Python

Author : Toby Donaldson
Publisher : Pearson Education
ISBN 13 : 0321929551
Total Pages : 225 pages
Book Rating : 4.3/5 (219 download)

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Book Synopsis Python by : Toby Donaldson

Download or read book Python written by Toby Donaldson and published by Pearson Education. This book was released on 2014 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is a remarkably powerful dynamic programming language used in a wide variety of situations such as Web, database access, desktop GUIs, game and software development, and network programming. Fans of Python use the phrase "batteries included" to describe the standard library, which covers everything from asynchronous processing to zip files. The language itself is a flexible powerhouse that can handle practically any application domain. This task-based tutorial on Python is for those new to the language and walks you through the fundamentals. You'll learn about arithmetic, strings, and variables; writing programs; flow of control, functions; strings; data structures; input and output; and exception handling. At the end of the book, a special section walks you through a longer, realistic application, tying the concepts of the book together.

Python

Author : Chris Fehily
Publisher : Peachpit Press
ISBN 13 : 9780201748840
Total Pages : 444 pages
Book Rating : 4.7/5 (488 download)

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Book Synopsis Python by : Chris Fehily

Download or read book Python written by Chris Fehily and published by Peachpit Press. This book was released on 2002 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Named after the Monty Python comedy troupe, Python is an interpreted, open-source, object-oriented programming language. It's also free and runs portably on Windows, Mac OS, Unix, and other operating systems. Python can be used for all manner of programming tasks, from CGI scripts to full-fledged applications. It is gaining popularity among programmers in part because it is easier to read (and hence, debug) than most other programming languages, and it's generally simpler to install, learn, and use. Its line structure forces consistent indentation. Its syntax and semantics make it suitable for simple scripts and large programs. Its flexible data structures and dynamic typing allow you to get a lot done in a few lines. To learn it, you'll need is some basic programming experience and a copy of Python: Visual QuickStart Guide. In patented Visual QuickStart Guide fashion, the book doesn't just tell you how to use Python to develop applications, it shows you, breaking Python into easy-to-digest, step-by-step tasks and providing example code. Python: Visual QuickStart Guide emphasizes the core language and libraries, which are the building blocks for programs. Author Chris Fehily starts with the basics - expressions, statements, numbers, strings - then moves on to lists, dictionaries, functions, and modules before wrapping things up with straightforward discussions of exceptions and classes. Some additional topics covered include: - Object-oriented programming- Working in multiple operating systems- Structuring large programs- Comparing Python to C, Perl, and Java- Handling errors gracefully.

Natural Language Processing with Python Quick Start Guide

Author : Nirant Kasliwal
Publisher : Packt Publishing Ltd
ISBN 13 : 1788994108
Total Pages : 177 pages
Book Rating : 4.7/5 (889 download)

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Book Synopsis Natural Language Processing with Python Quick Start Guide by : Nirant Kasliwal

Download or read book Natural Language Processing with Python Quick Start Guide written by Nirant Kasliwal and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build and deploy intelligent applications for natural language processing with Python by using industry standard tools and recently popular methods in deep learning Key FeaturesA no-math, code-driven programmer’s guide to text processing and NLPGet state of the art results with modern tooling across linguistics, text vectors and machine learningFundamentals of NLP methods from spaCy, gensim, scikit-learn and PyTorchBook Description NLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP. The book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a workflow for building NLP applications. We use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and dependency parsing for Q and A. We use text embedding for both clustering documents and making chatbots, and then build classifiers using scikit-learn. We conclude by deploying these models as REST APIs with Flask. By the end, you will be confident building NLP applications, and know exactly what to look for when approaching new challenges. What you will learnUnderstand classical linguistics in using English grammar for automatically generating questions and answers from a free text corpusWork with text embedding models for dense number representations of words, subwords and characters in the English language for exploring document clusteringDeep Learning in NLP using PyTorch with a code-driven introduction to PyTorchUsing an NLP project management Framework for estimating timelines and organizing your project into stagesHack and build a simple chatbot application in 30 minutesDeploy an NLP or machine learning application using Flask as RESTFUL APIsWho this book is for Programmers who wish to build systems that can interpret language. Exposure to Python programming is required. Familiarity with NLP or machine learning vocabulary will be helpful, but not mandatory.

pytest Quick Start Guide

Author : Bruno Oliveira
Publisher : Packt Publishing Ltd
ISBN 13 : 1789343828
Total Pages : 153 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis pytest Quick Start Guide by : Bruno Oliveira

Download or read book pytest Quick Start Guide written by Bruno Oliveira and published by Packt Publishing Ltd. This book was released on 2018-08-29 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python's built-in unittest module is showing it's age; hard to extend, debug and track what's going on. The pytest framework overcomes these problems and simplifies testing your Python software. Many users love to use pytest and the improvement in their testing shows! This book is the ideal introduction to pytest, teaching you how to write ...

Python Data Mining Quick Start Guide

Author : Nathan Greeneltch
Publisher : Packt Publishing Ltd
ISBN 13 : 1789806402
Total Pages : 181 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Python Data Mining Quick Start Guide by : Nathan Greeneltch

Download or read book Python Data Mining Quick Start Guide written by Nathan Greeneltch and published by Packt Publishing Ltd. This book was released on 2019-04-25 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the different data mining techniques using the libraries and packages offered by Python Key FeaturesGrasp the basics of data loading, cleaning, analysis, and visualizationUse the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data miningYour one-stop guide to build efficient data mining pipelines without going into too much theoryBook Description Data mining is a necessary and predictable response to the dawn of the information age. It is typically defined as the pattern and/ or trend discovery phase in the data mining pipeline, and Python is a popular tool for performing these tasks as it offers a wide variety of tools for data mining. This book will serve as a quick introduction to the concept of data mining and putting it to practical use with the help of popular Python packages and libraries. You will get a hands-on demonstration of working with different real-world datasets and extracting useful insights from them using popular Python libraries such as NumPy, pandas, scikit-learn, and matplotlib. You will then learn the different stages of data mining such as data loading, cleaning, analysis, and visualization. You will also get a full conceptual description of popular data transformation, clustering, and classification techniques. By the end of this book, you will be able to build an efficient data mining pipeline using Python without any hassle. What you will learnExplore the methods for summarizing datasets and visualizing/plotting dataCollect and format data for analytical workAssign data points into groups and visualize clustering patternsLearn how to predict continuous and categorical outputs for dataClean, filter noise from, and reduce the dimensions of dataSerialize a data processing model using scikit-learn’s pipeline featureDeploy the data processing model using Python’s pickle moduleWho this book is for Python developers interested in getting started with data mining will love this book. Budding data scientists and data analysts looking to quickly get to grips with practical data mining with Python will also find this book to be useful. Knowledge of Python programming is all you need to get started.

Network Science with Python and NetworkX Quick Start Guide

Author : Edward L. Platt
Publisher : Packt Publishing Ltd
ISBN 13 : 1789950414
Total Pages : 181 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Network Science with Python and NetworkX Quick Start Guide by : Edward L. Platt

Download or read book Network Science with Python and NetworkX Quick Start Guide written by Edward L. Platt and published by Packt Publishing Ltd. This book was released on 2019-04-26 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manipulate and analyze network data with the power of Python and NetworkX Key FeaturesUnderstand the terminology and basic concepts of network scienceLeverage the power of Python and NetworkX to represent data as a networkApply common techniques for working with network data of varying sizesBook Description NetworkX is a leading free and open source package used for network science with the Python programming language. NetworkX can track properties of individuals and relationships, find communities, analyze resilience, detect key network locations, and perform a wide range of important tasks. With the recent release of version 2, NetworkX has been updated to be more powerful and easy to use. If you’re a data scientist, engineer, or computational social scientist, this book will guide you in using the Python programming language to gain insights into real-world networks. Starting with the fundamentals, you’ll be introduced to the core concepts of network science, along with examples that use real-world data and Python code. This book will introduce you to theoretical concepts such as scale-free and small-world networks, centrality measures, and agent-based modeling. You’ll also be able to look for scale-free networks in real data and visualize a network using circular, directed, and shell layouts. By the end of this book, you’ll be able to choose appropriate network representations, use NetworkX to build and characterize networks, and uncover insights while working with real-world systems. What you will learnUse Python and NetworkX to analyze the properties of individuals and relationshipsEncode data in network nodes and edges using NetworkXManipulate, store, and summarize data in network nodes and edgesVisualize a network using circular, directed and shell layoutsFind out how simulating behavior on networks can give insights into real-world problemsUnderstand the ongoing impact of network science on society, and its ethical considerationsWho this book is for If you are a programmer or data scientist who wants to manipulate and analyze network data in Python, this book is perfect for you. Although prior knowledge of network science is not necessary, some Python programming experience will help you understand the concepts covered in the book easily.

Recurrent Neural Networks with Python Quick Start Guide

Author : Simeon Kostadinov
Publisher : Packt Publishing Ltd
ISBN 13 : 1789133661
Total Pages : 115 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Recurrent Neural Networks with Python Quick Start Guide by : Simeon Kostadinov

Download or read book Recurrent Neural Networks with Python Quick Start Guide written by Simeon Kostadinov and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to develop intelligent applications with sequential learning and apply modern methods for language modeling with neural network architectures for deep learning with Python's most popular TensorFlow framework. Key FeaturesTrain and deploy Recurrent Neural Networks using the popular TensorFlow libraryApply long short-term memory unitsExpand your skills in complex neural network and deep learning topicsBook Description Developers struggle to find an easy-to-follow learning resource for implementing Recurrent Neural Network (RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve results. This book will teach you the fundamentals of RNNs, with example applications in Python and the TensorFlow library. The examples are accompanied by the right combination of theoretical knowledge and real-world implementations of concepts to build a solid foundation of neural network modeling. Your journey starts with the simplest RNN model, where you can grasp the fundamentals. The book then builds on this by proposing more advanced and complex algorithms. We use them to explain how a typical state-of-the-art RNN model works. From generating text to building a language translator, we show how some of today's most powerful AI applications work under the hood. After reading the book, you will be confident with the fundamentals of RNNs, and be ready to pursue further study, along with developing skills in this exciting field. What you will learnUse TensorFlow to build RNN modelsUse the correct RNN architecture for a particular machine learning taskCollect and clear the training data for your modelsUse the correct Python libraries for any task during the building phase of your modelOptimize your model for higher accuracyIdentify the differences between multiple models and how you can substitute themLearn the core deep learning fundamentals applicable to any machine learning modelWho this book is for This book is for Machine Learning engineers and data scientists who want to learn about Recurrent Neural Network models with practical use-cases. Exposure to Python programming is required. Previous experience with TensorFlow will be helpful, but not mandatory.

SQL QuickStart Guide

Author : Walter Shields
Publisher : ClydeBank Media LLC
ISBN 13 : 1945051833
Total Pages : 330 pages
Book Rating : 4.9/5 (45 download)

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Book Synopsis SQL QuickStart Guide by : Walter Shields

Download or read book SQL QuickStart Guide written by Walter Shields and published by ClydeBank Media LLC . This book was released on 2019-11-19 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: THE BEST SQL BOOK FOR BEGINNERS - HANDS DOWN! *INCLUDES FREE ACCESS TO A SAMPLE DATABASE, SQL BROWSER APP, COMPREHENSION QUIZES & SEVERAL OTHER DIGITAL RESOURCES!* Not sure how to prepare for the data-driven future? This book shows you EXACTLY what you need to know to successfully use the SQL programming language to enhance your career! Are you a developer who wants to expand your mastery to database management? Then you NEED this book. Buy now and start reading today! Are you a project manager who needs to better understand your development team’s needs? A decision maker who needs to make deeper data-driven analysis? Everything you need to know is included in these pages! The ubiquity of big data means that now more than ever there is a burning need to warehouse, access, and understand the contents of massive databases quickly and efficiently. That’s where SQL comes in. SQL is the workhorse programming language that forms the backbone of modern data management and interpretation. Any database management professional will tell you that despite trendy data management languages that come and go, SQL remains the most widely used and most reliable to date, with no signs of stopping. In this comprehensive guide, experienced mentor and SQL expert Walter Shields draws on his considerable knowledge to make the topic of relational database management accessible, easy to understand, and highly actionable. SQL QuickStart Guide is ideal for those seeking to increase their job prospects and enhance their careers, for developers looking to expand their programming capabilities, or for anyone who wants to take advantage of our inevitably data-driven future—even with no prior coding experience! SQL QuickStart Guide Is For: - Professionals looking to augment their job skills in preparation for a data-driven future - Job seekers who want to pad their skills and resume for a durable employability edge - Beginners with zero prior experienceManagers, decision makers, and business owners looking to manage data-driven business insights - Developers looking to expand their mastery beyond the full stackAnyone who wants to be better prepared for our data-driven future! In SQL QuickStart Guide You'll Discover: - The basic structure of databases—what they are, how they work, and how to successfully navigate them - How to use SQL to retrieve and understand data no matter the scale of a database (aided by numerous images and examples) - The most important SQL queries, along with how and when to use them for best effect - Professional applications of SQL and how to “sell” your new SQL skills to your employer, along with other career-enhancing considerations *LIFETIME ACCESS TO FREE SQL RESOURCES*: Each book comes with free lifetime access to tons of exclusive online resources to help you master SQL, such as workbooks, cheat sheets and reference guides. *GIVING BACK* QuickStart Guides proudly supports One Tree Planted as a reforestation partner.

Natural Language Processing with Python

Author : Steven Bird
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555717
Total Pages : 506 pages
Book Rating : 4.5/5 (965 download)

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Book Synopsis Natural Language Processing with Python by : Steven Bird

Download or read book Natural Language Processing with Python written by Steven Bird and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

Python 101

Author : Michael Driscoll
Publisher : Lulu.com
ISBN 13 : 0996062815
Total Pages : 296 pages
Book Rating : 4.9/5 (96 download)

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Book Synopsis Python 101 by : Michael Driscoll

Download or read book Python 101 written by Michael Driscoll and published by Lulu.com. This book was released on 2014-06-03 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to program with Python from beginning to end. This book is for beginners who want to get up to speed quickly and become intermediate programmers fast!

Learn Python in One Day and Learn It Well (2nd Edition)

Author : Jamie Chan
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781546488330
Total Pages : 174 pages
Book Rating : 4.4/5 (883 download)

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Book Synopsis Learn Python in One Day and Learn It Well (2nd Edition) by : Jamie Chan

Download or read book Learn Python in One Day and Learn It Well (2nd Edition) written by Jamie Chan and published by Createspace Independent Publishing Platform. This book was released on 2017-05-04 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Have you always wanted to learn computer programming but are afraid it'll be too difficult for you? Or perhaps you know other programming languages but are interested in learning the Python language fast? This book is for you"--Page 4 of cover.

Machine Learning with scikit-learn Quick Start Guide

Author : Kevin Jolly
Publisher : Packt Publishing Ltd
ISBN 13 : 1789347378
Total Pages : 164 pages
Book Rating : 4.7/5 (893 download)

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Book Synopsis Machine Learning with scikit-learn Quick Start Guide by : Kevin Jolly

Download or read book Machine Learning with scikit-learn Quick Start Guide written by Kevin Jolly and published by Packt Publishing Ltd. This book was released on 2018-10-30 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering. Key FeaturesBuild your first machine learning model using scikit-learnTrain supervised and unsupervised models using popular techniques such as classification, regression and clusteringUnderstand how scikit-learn can be applied to different types of machine learning problemsBook Description Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides. This book teaches you how to use scikit-learn for machine learning. You will start by setting up and configuring your machine learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine learning models. You will learn classification, regression, and clustering techniques to work with different types of datasets and train your models. Finally, you will learn about an effective pipeline to help you build a machine learning project from scratch. By the end of this book, you will be confident in building your own machine learning models for accurate predictions. What you will learnLearn how to work with all scikit-learn's machine learning algorithmsInstall and set up scikit-learn to build your first machine learning modelEmploy Unsupervised Machine Learning Algorithms to cluster unlabelled data into groupsPerform classification and regression machine learningUse an effective pipeline to build a machine learning project from scratchWho this book is for This book is for aspiring machine learning developers who want to get started with scikit-learn. Intermediate knowledge of Python programming and some fundamental knowledge of linear algebra and probability will help.

Learning Python

Author : Mark Lutz
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449355692
Total Pages : 1740 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Learning Python by : Mark Lutz

Download or read book Learning Python written by Mark Lutz and published by "O'Reilly Media, Inc.". This book was released on 2013-06-12 with total page 1740 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages. Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code. Explore Python’s major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python’s general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python’s object-oriented programming tool for structuring code Write large programs with Python’s exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing