Artist & pyrographer Lora S Irish walks you through all the basics of woodburning You can learn about using temperature time layering & texturing to create artistic tonal values Nationally recognized artist & pyrographer Lora S Irish makes it easy for beginners to learn the creative craft of woodburning in Pyrography Basics All that aspiring beginners need is this book & an inexpensive woodburning tool to start adorning wood gourds leather paper & more with beautifully burned images & patterns The author provides a thorough introduction to basic tools materials & techniques Readers learn how to set up a practice board to experiment with strokes & settings before moving on to working projects with complete confidence Seven skill-building projects provide step-by-step exercises in using temperature time layering & texturing to create artistic tonal values ...

Gain hands-on experience with HDF5 for storing scientific data in Python This practical guide quickly gets you up to speed on the details best practices & pitfalls of using HDF5 to archive & share numerical datasets ranging in size from gigabytes to terabytes Through real-world examples & practical exercises you'll explore topics such as scientific datasets hierarchically organized groups user-defined metadata & interoperable files Examples are applicable for users of both Python 2 & Python 3 If you're familiar with the basics of Python data analysis this is an ideal introduction to HDF5 Get set up with HDF5 tools & create your first HDF5 file Work with datasets by learning the HDF5 Dataset object Understand advanced features like dataset chunking & compression Learn how to work with HDF5's hierarchical structure using groups Create self-describing files by adding metadata with HDF5 attributes Take advantage of HDF5's type system to create interoperable files Express relationships among data with references named types & dimension scales Discover how Python mechanisms for writing parallel code interact with HDF5 ...

Buggy " Python 2 voies 24 GHz so you can play as a group without interference Sturdy construction & ergonomically designed in the hands of children Single motor axle Snap on Front 26 mm height from the ground Direction digitale proportionnelle Powerful engine Coal (Brushed) More than 30 minutes Rolls up to 20 kmh Range approx 50 m Radio requires one 9 V monobloc battery not included The car is powered by standard batteries (6 AA LR06 15 V batteries (15 V NOT included) or by battery life " Available as an option Controlled Buggy remote control to pile up to 20 kmh at the GPSAll operation in 24 GHz radio so you can play as a group without interference for indoor & outdoor Can be pushed into the battery with the battery pack charger 46730 Revell Control Xtreme Direction & acceleration in proportion electronics protected from dust & splashes Batteries not included 4 LR6 1 9 V monobloc multilingual instruction manual (may not be in English) a development is Revell ...

For many researchers Python is a first-class tool mainly because of its libraries for storing manipulating & gaining insight from data Several resources exist for individual pieces of this data science stack but only with the Python Data Science Handbook do you get them all-IPython Num Py Pandas Matplotlib Scikit-Learn & other related tools Working scientists & data crunchers familiar with reading & writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues manipulating transforming & cleaning data; visualizing different types of data; & using data to build statistical or machine learning models Quite simply this is the must-have reference for scientific computing in Python With this handbook you'll learn how to use IPython & Jupyter provide computational environments for data scientists using Python Num Py

Includes:: the ndarray for efficient storage & manipulation of dense data arrays in Python Pandas features the Data Frame for efficient storage & manipulation of labeledcolumnar data in Python Matplotlib

Includes:: capabilities for a flexible range of data visualizations in Python Scikit-Learn for efficient & clean Python implementations of the most important & established machine learning algorithms



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Python Essential Reference is the definitive reference guide to the Python programming language
- the one authoritative handbook
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Python is one of the most powerful easy-to-read programming languages around but it does have its limitations This general purpose high-level language that can be extended & embedded is a smart option for many programming problems but a poor solution to others Python For Dummies is the quick-&-easy guide to getting the most out of this robust program This hands-on book will show you everything you need to know about building programs debugging code & simplifying development as well as defining what actions it can perform You ll wrap yourself around all of its advanced features & become an expert Python user in no time This guide gives you the tools you need to Master basic elements & syntax Document design & debug programs Work with strings like a pro Direct a program with control structures Integrate integers complex numbers & modules Build lists stacks & queues Create an organized dictionary Handle functions data & namespace Construct applications with modules & packages Call create extend & override classes Access the Internet to enhance your library Understand the new features of Python 25 Packed with critical idioms & great resources to maximize your productivity Python For Dummies is the ultimate one-stop information guide In a matter of minutes you ll be familiar with Python s building blocks strings dictionaries & sets; & be on your way to writing the program that you ve dreamed about! ...

The financial industry has adopted Python at a tremendous rate recently with some of the largest investment banks & hedge funds using it to build core trading & risk management systems This hands-on guide helps both developers & quantitative analysts get started with Python & guides you through the most important aspects of using Python for quantitative finance Using practical examples through the book author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives & risk analytics based on a large realistic case study Much of the book uses interactive IPython Notebooks with topics that include Fundamentals Python data structures Num Py array handling time series analysis with pandas visualization with matplotlib high performance IO operations with Py Tables datetime information handling & selected best practices Financial topics mathematical techniques with Num Py Sci Py & Sym Py such as regression & optimization; stochastics for Monte Carlo simulation value-at-Risk & Credit-value-at-Risk calculations; statistics for normality tests mean-variance portfolio optimization principal component analysis (PCA) & Bayesian regression Special topics performance Python for financial algorithms such as vectorization & parallelization integrating Python with Excel & building financial applications based on Web technologies ...

Useful in many roles from design & prototyping to testing deployment & maintenance Python is consistently ranked among today's most popular programming languages The third edition of this practical book provides a quick reference to the language-including Python 35 27 & highlights of 36-commonly used areas of its vast standard library & some of the most useful third-party modules & packages Ideal for programmers with some Python experience & those coming to Python from other programming languages this book covers a wide range of application areas including web & network programming XML handling database interactions & high-speed numeric computing Discover how Python provides a unique mix of elegance simplicity practicality & sheer power This edition covers Python syntax Object-Oriented Python standard library modules & third-party Python packages Python's support for file & text operations persistence & databases concurrent execution & numeric computations Networking basics event-driven programming & client-side network protocol modules Python extension modules & tools for packaging & distributing extensions modules & applications ...

Updated for both Python 34 & 27 this convenient pocket guide is the perfect on-the-job quick reference You'll find concise need-to-know information on Python types & statements special method names built-in functions & exceptions commonly used standard library modules & other prominent Python tools The handy index lets you pinpoint exactly what you need Written by Mark Lutz
- widely recognized as the world's leading Python trainer
- Python Pocket Reference is an ideal companion to O' Reilly's classic Python tutorials Learning Python & Programming Python also written by Mark This fifth edition covers Built-in object types including numbers lists dictionaries & more Statements & syntax for creating & processing objects Functions & modules for structuring & reusing code Python's object-oriented programming tools Built-in functions exceptions & attributes Special operator overloading methods Widely used standard library modules & extensions Comm&-line options & development tools Python idioms & hints The Python SQL Database API

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If you are new to programming with Python & are looking for a solid introduction this is the book for you Developed by computer science instructors books in the for the absolute beginner series teach the principles of programming through simple game creation You will acquire the skills that you need for practical Python programming applications & will learn how these skills can be put to use in real-world scenarios Throughout the chapters you will find code samples that illustrate concepts presented At the end of each chapter you will find a complete game that demonstrates the key ideas in the chapter a summary of the chapter & a set of challenges that tests your newfound knowledge By the time you finish this book you'll be well versed in Python & be able to apply the basic programming principles you've learned to the next programming language you tackle ...