Kit out your kitchen in style with this Pyrex two piece roasting set These stylish glass roasters come in two sizes catering for any meal big or small 35 x 23 cm & 40 x 27 cm These classic roasting dishes are dishwasher safe for your convenience & are highly resistant to shocks & scratches Kit out your kitchen in style with this Pyrex two piece roasting set These stylish glass roasters come in two sizes catering for any meal big or small 35 x 23 cm & 40 x 27 cm These classic roasting dishes are dishwasher safe for your convenience & are highly resistant to shocks & scratches ...

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Pyroblazer is a futuristic combat racing game Set amidst the awe-inspiring locations of New Apeiron players get the opportunity to race through a multitude of environments using a wide selection of anti-gravity craft known as Blazers In their quest for glory players can blast their way through the scorched valleys of Gnosis the deserted cities of Haedra or the densely populated Underdome of Evelads As the players fight their way through the championship enhanced Blazers with better speed handling & superior firepower become available Players also have the ability to pick up weapon & ammo upgrades during the race further enhancing their ability to land the killer blow Featuring over 15 blazers & 40 levels the game offers an unforgettable thrill ride ...

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 ...

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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Get complete instructions for manipulating processing cleaning & crunching datasets in Python Updated for Python 36 the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively You'll learn the latest versions of pandas Num Py IPython & Jupyter in the process Written by Wes Mc Kinney the creator of the Python pandas project this book is a practical modern introduction to data science tools in Python It's ideal for analysts new to Python & for Python programmers new to data science & scientific computing Data files & related material are available on Git Hub Use the IPython shell & Jupyter notebook for exploratory computing Learn basic & advanced features in Num Py (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load clean transform merge & reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice dice & summarize datasets Analyze & manipulate regular & irregular time series data Learn how to solve real-world data analysis problems with thorough detailed examples ...

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 ...