0 MySQL Cookbook, 3rd Edition

2014.7

Download：MySQL Cookbook, 3rd Edition

Password：87ko

MySQL’s popularity has brought a flood of questions about how to solve specific problems, and that’s where this cookbook is essential. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don’t have the time (or expertise) to solve MySQL problems from scratch.

Ideal for beginners and professional database and web developers, this updated third edition covers powerful features in MySQL 5.6 (and some in 5.7). The book focuses on programming APIs in Python, PHP, Java, Perl, and Ruby. With more than 200+ recipes, you’ll learn how to:

• Use the mysql client and write MySQL-based programs
• Create, populate, and select data from tables
• Store, retrieve, and manipulate strings
• Work with dates and times
• Sort query results and generate summaries
• Use stored routines, triggers, and scheduled events
• Import, export, validate, and reformat data
• Perform transactions and work with statistics
• Process web input, and generate web content from query results
• Use MySQL-based web session management
• Provide security and server administration

0 High Performance Python

2014.8

Download：High Performance Python

Password：yzxn

Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python’s implementation. You’ll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.

How can you take advantage of multi-core architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers will learn concrete solutions to these and other issues, along with war stories from companies that use high performance Python for social media analytics, productionized machine learning, and other situations.

• Get a better grasp of numpy, Cython, and profilers
• Learn how Python abstracts the underlying computer architecture
• Use profiling to find bottlenecks in CPU time and memory usage
• Write efficient programs by choosing appropriate data structures
• Speed up matrix and vector computations
• Use tools to compile Python down to machine code
• Manage multiple I/O and computational operations concurrently
• Convert multiprocessing code to run on a local or remote cluster
• Solve large problems while using less RAM

0 You Don’t Know JS: this & Object Prototypes

Download：You Don’t Know JS: this & Object Prototypes

No matter how much experience you have with JavaScript, odds are you don’t fully understand the language. This concise, in-depth guide takes you inside JavaScript’s this structure and object prototypes. You’ll learn how they work and why they’re integral to behavior delegation—a design pattern in which objects are linked, rather than cloned.

Like other books in the “You Don’t Know JS” series, this and Object Prototypes dives into trickier parts of the language that many JavaScript programmers simply avoid. Armed with this knowledge, you can become a true JavaScript master.

With this book you will:

Explore how the this binding points to objects based on how the function is called

Look into the nature of JS objects and why you’d need to point to them

Learn how developers use the mixin pattern to fake classes in JS

Examine how JS’s prototype mechanism forms links between objects

Learn how to move from class/inheritance design to behavior delegation

Understand how the OLOO (objects-linked-to-other-objects) coding style naturally implements behavior delegation

0 Python for Finance

Released：2012.4
Download：Python for Finance

About This Book

Estimate market risk, form various portfolios, and estimate their variance-covariance matrixes using real-world data
Explains many financial concepts and trading strategies with the help of graphs
A step-by-step tutorial with many Python programs that will help you learn how to apply Python to finance


Who This Book Is For

Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic programming knowledge is helpful, but not necessary.


In Detail

Python is a free and powerful tool that can be used to build a financial calculator and price options, and can also explain many trading strategies and test various hypotheses. This book details the steps needed to retrieve time series data from different public data sources.

Python for Finance explores the basics of programming in Python. It is a step-by-step tutorial that will teach you, with the help of concise, practical programs, how to run various statistic tests. This book introduces you to the basic concepts and operations related to Python. You will also learn how to estimate illiquidity, Amihud (2002), liquidity measure, Pastor and Stambaugh (2003), Roll spread (1984), spread based on high-frequency data, beta (rolling beta), draw volatility smile and skewness, and construct a binomial tree to price American options.

This book is a hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python.