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Programming --- Python (informatica) --- Python (software) --- Programmeertaal

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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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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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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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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