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Programming --- Python (informatica) --- Python (software) --- Programmeertaal
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This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general. On the one hand, the book is intended to be a refresher for readers who have taken some courses in statistics, but who have not necessarily used it in their day-to-day work. On the other hand, the material can be suitable for readers interested in the subject as a first encounter with statistical work in Python. Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics and begin to formulate hypotheses that form the foundations for the applications and algorithms in statistical analysis, business analytics, machine learning, and applied machine learning. This book begins with the basics of programming in Python and data analysis, to help construct a solid basis in statistical methods and hypothesis testing, which are useful in many modern applications.bron : https://www.routledge.com/Statistics-and-Data-Visualisation-with-Python/Rogel-Salazar/p/book/9780367744519
Data --- Statistische gegevens --- Datavisualisatie --- Python (software)
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Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended.This book is divided into three parts - programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python - the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python.The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis.The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics.What You'll Learn:Further your programming and analytical skills with PythonSolve mathematical problems in calculus, and set theory and algebra with PythonWork with various libraries in Python to structure, analyze, and visualize dataTackle real-life case studies using PythonReview essential statistical concepts and use the Scipy library to solve problems in statisticsWho This Book Is For:Professionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.bron : https://www.standaardboekhandel.be/p/a-python-data-analysts-toolkit-9781484263983
Programming --- Python (informatica) --- programmeertalen --- Data --- Python (software) --- Statistische gegevens
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Het Handboek Python is een praktische en grondige inleiding in de programmeertaal Python en voorziet je van het gereedschap en inzicht dat je nodig hebt om een productieve deelnemer te worden aan bijna elk Python-project. Python is een omvangrijke taal, en de auteurs helpen je bij het bouwen van een degelijke fundering, maken je wegwijs in het soms verwarrende universum van Python en zorgen ervoor dat je na het lezen zelfstandig verder kunt leren.Dit boek is voornamelijk bedoeld voor mensen met wat programmeerervaring in een andere taal. Programmeer je momenteel in een van de bekende imperatieve of objectgeoriënteerde talen als C++, C# of Java, dan heb je voldoende kennis om dit boek optimaal te gebruiken. Ligt je expertise echter meer bij andere soorten programmeertalen, dan zal je geen onoverkomelijke problemen tegenkomen. Tot de behandelde onderwerpen behoren:Python downloaden en installerenWerken met operatoren, gegevenstypen en lussenPython-modules ontwikkelenWerken met het objectmodel, ingebouwde typen en collectietypenWerken met comprehensions, iterables en generatorsObjectgeoriënteerd programmeren: werken met klassenWerken met bestandenExceptions verwerken, testen uitvoeren en debuggenBron: http://www.vanduurenmedia.nl
Programming --- Python --- programmeertalen --- programmeren --- internet --- open source software --- Informatica --- Programmeren --- Programmeertalen --- Programmeertaal --- Python (software) --- Kind
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Python is een eenvoudige, krachtige programmeertaal waar miljoenen mensen al mee hebben leren werken. Het populaire spel Minecraft heeft al meer dan honderd miljoen spelers. Met dit boek leer je programmeren in Python zodat je jouw eigen Minecraft wereld vorm kan geven. Zo leer je onderdelen van Minecraft ontgrendelen die alleen toegankelijk zijn door te programmeren. Je begint met een paar korte lessen in Python en daarna gebruik je het geleerde om Minecraft aan te passen. Je leert hoe je Minecraft gebruikt om mini-spellen te bouwen, complete gebouwen te kopiëren en saaie blokken in goud te veranderen. Een greep uit de onderwerpen:- introductie in Python en in de basisprincipes van programmeren- Minecraft ontgrendelen via programmeercode- Minecraft naar eigen wens aanpassenGeschikt voor:Windows 10, 8.1, 7, Mac of Raspberry Pi.Bron: www.bol.com
Programmeren ; kinderen. --- Informatica --- Programmeren --- Programmeertalen --- Python --- Minecraft --- Programmeertaal --- Python (software) --- Kind
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Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0 In Detail This book will show you the essential techniques of text and language processing. Starting with tokenization, stemming, and the WordNet dictionary, you'll progress to part-of-speech tagging, phrase chunking, and named entity recognition. You'll learn how various text corpora are organized, as well as how to create your own custom corpus. Then, you'll move onto text classification with a focus on sentiment analysis. And because NLP can be computationally expensive on large bodies of text, you'll try a few methods for distributed text processing. Finally, you'll be introduced to a number of other small but complementary Python libraries for text analysis, cleaning, and parsing. This cookbook provides simple, straightforward examples so you can quickly learn text processing with Python and NLTK. What You Will Learn Tokenize text into sentences, and sentences into words Look up words in the WordNet dictionary Apply spelling correction and word replacement Access the built-in text corpora and create your own custom corpus Tag words with parts of speech Chunk phrases and recognize named entities Grammatically transform phrases and chunks Classify text and perform sentiment analysis
Python (Computer program language) --- Natural language processing (Computer science) --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Scripting languages (Computer science) --- Research. --- Python --- Programmeertalen --- Python (software) --- Programmeertaal
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Ben je gek op computers en animatiefilmpjes? En wil je graag zelf computergames maken? Ontwikkel jouw digitaal talent met deze praktische gids. Met kleurrijke illustraties, handige tips en stap-voor-stap instructies om programma's te schrijven in Scratch en Python.
games --- programmeren (informatica) --- Computer. Automation --- Programmeren --- programmeertalen --- Scratch (software) --- Python (programmeertaal) --- Computer programming --- Programming (Electronic computers) --- Study and teaching --- Computer games --- Programming --- 525 --- Computers --- Scratch --- Games --- Python --- Informatica --- 476.6 --- Programmeren ; algemeen - Gebruikershandleidingen ; algemeen --- KATOR --- programmeren --- computergames --- kinderen --- 475.6 --- informatica --- computers --- didactiek basisonderwijs - informatiekunde --- Programmeertalen --- Software --- Kinderen --- Programmeertaal --- Scratch (programmeertaal) --- Computer --- Python (software) --- Kind --- Jeugd --- Media --- Ontwikkelingsstoornis --- Fysiotherapie --- Verpleegkunde --- 454.52 --- computerondersteund onderwijs
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A short and straight to the point guide that explains the implementation of Regular Expressions in Python.This book is aimed at Python developers who want to learn how to leverage Regular Expressions in Python. Basic knowledge of Python is required for a better understanding.
Python (Computer program language) --- Regular expressions (Computer science) --- Programming languages (Electronic computers) --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Scripting languages (Computer science) --- Rational expressions (Computer science) --- Regexes (Computer science) --- Regexps (Computer science) --- Text processing (Computer science) --- Python --- Programmeertalen --- Regular expressions --- Processing, Text (Computer science) --- Database management --- Information storage and retrieval systems --- Word processing --- Python (software) --- Programmeertaal --- Reguliere expressie
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Data mining. --- Python (Computer program language). --- Programming --- Statistical science --- Mathematical statistics --- Python --- Programmeertalen --- Data mining --- Programming languages (Electronic computers) --- Python (Computer program language) --- 681.3*D32 --- Scripting languages (Computer science) --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- 681.3*D32 language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- Python (software) --- Programmeertaal --- Information Technology --- General and Others
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