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Python Brain Teasers
Python Brain Teasers

We geeks love puzzles and solving them. The Python programming language is a simple one, but like all other languages it has quirks. This book uses those quirks as teaching opportunities via 30 simple Python programs that challenge your understanding of Python. The teasers will help you avoid mistakes, see gaps in your knowledge, and become better at what you do. Use these teasers to impress your co-workers or just to pass the time in those boring meetings. Teasers are fun! Here's how to approach the puzzles. Read through the code. Before moving on to the answer and the explanation, go ahead and guess the output. After guessing the output, run the code and see the output yourself. Finally proceed to read the solution and the explanation. The puzzles are short enough to solve on a coffee break, so carry them with you, have fun, and share them with co-workers. People who make mistakes during the learning process learn better than people who don't. If you use this approach at work w ...
Pandas Brain Teasers
Pandas Brain Teasers

This book contains 25 short programs that will challenge your understanding of Pandas. Like any big project, the Pandas developers had to make some design decisions that at times seem surprising. This book uses those quirks as a teaching opportunity. By understanding the gaps in your knowledge, you'll become better at what you do. Some of the teasers are from the author's experience shipping bugs to production, and some from others doing the same. Teasers and puzzles are fun, and learning how to solve them can teach you to avoid programming mistakes and maybe even impress your colleagues and future employers. Working with data is central to nearly everything we do, from disease contact tracing and analyzing health records to smart meters that track utility consumption behavior. With the power of Python's pandas library, you can process and analyze this data in a highly efficient and simple-to-understand way. And with 25 brain teasers designed to turn this technology's quirks into a ...
Rust Brain Teasers
Rust Brain Teasers

The Rust programming language is consistent and does its best to avoid surprising the programmer. Like all languages, though, Rust still has its quirks. But these quirks present a teaching opportunity. In this book, you'll work through a series of brain teasers that will challenge your understanding of Rust. By understanding the gaps in your knowledge, you can become better at what you do and avoid mistakes. Many of the teasers in this book come from the author's own experience creating software. Others derive from commonly asked questions in the Rust community. Regardless of their origin, these brain teasers are fun, and let's face it: who doesn't love a good puzzle, right? What better way to exercise your brain and increase your Rust programming knowledge than with a collection of dynamic brain teasers? As you read through each of these puzzles and try to work out the answers, you'll not only learn about Rust's unique quirks and peculiarities, you'll also have loads of fun along t ...
Pythonic Programming
Pythonic Programming

Make your good Python code even better by following proven and effective pythonic programming tips. Avoid logical errors that usually go undetected by Python linters and code formatters, such as frequent data look-ups in long lists, improper use of local and global variables, and mishandled user input. Discover rare language features, like rational numbers, set comprehensions, counters, and pickling, that may boost your productivity. Discover how to apply general programming patterns, including caching, in your Python code. Become a better-than-average Python programmer, and develop self-documented, maintainable, easy-to-understand programs that are fast to run and hard to break. Python is one of the most popular and rapidly growing modern programming languages. With more than 200 standard libraries and even more third-party libraries, it reaches into the software development areas as diverse as artificial intelligence, bioinformatics, natural language processing, and computer visio ...
Portable Python Projects
Portable Python Projects

Discover easy ways to control your home with the powerful new Raspberry Pi hardware. Program short Python scripts that will detect changes in your home and react with the instructions you code. Use new add-on accessories to monitor a variety of measurements, from light intensity and temperature to motion detection and water leakage. Expand the base projects with your own custom additions to perfectly match your own home setup. Most projects in the book can be completed in under an hour, giving you more time to enjoy and tweak your autonomous creations. No breadboard or electronics knowledge required! Get to know the latest Raspberry Pi hardware, and create awesome automation solutions for home or work that don't require an electronics degree, cumbersome add-ons, or expensive third-party subscription services. Create easy-to-run Python scripts on your own that make your Pi do things that would have required a team of automation experts to build only a few years ago. Connect to and ...
Powerful Command-Line Applications in Go
Powerful Command-Line Applications in Go

Write your own fast, reliable, and cross-platform command-line tools with the Go programming language. Go might be the fastest - and perhaps the most fun - way to automate tasks, analyze data, parse logs, talk to network services, or address other systems requirements. Create all kinds of command-line tools that work with files, connect to services, and manage external processes, all while using tests and benchmarks to ensure your programs are fast and correct. Go is a modern programming language that combines the reliability of compiled languages with the ease of use and flexibility of dynamic typed languages. With Go, you can develop cross-platform command-line tools that are fast and reliable. Work through practical examples to develop elegant and efficient tools by applying Go's rich standard library, its built-in support for concurrency, and its expressive syntax. Use Go's integrated testing capabilities to automatically test your tools, ensuring they work reliably, even across ...
Taking Kubernetes from Test to Production
Taking Kubernetes from Test to Production

With Kubernetes came many new concepts, particularly around networking and traffic management. Alongside these new concepts were entirely new classes of tools, designed for ephemeral, containerized, and distributed application deployments. In particular, Ingress controllers and service meshes did not exist prior to the Kubernetes era. Nor were Layer 4 and Layer 7 protocols and traffic typically managed from the same control plane. At a granular level, Kubernetes introduces new complexities around security and management. Simple tasks like load balancing are very different in a realm where infrastructure is 100% ephemeral and often moving constantly - both in terms of setting up new instances with fresh IP addresses and geographically moving around the globe. These new traffic management concepts and tools have the power to vastly improve developer experience and accelerate app development and delivery cycles through greater resilience, higher performance, and better security. But wh ...
Microsoft Excel Data Analysis and Business Modeling, 7th Edition
Microsoft Excel Data Analysis and Business Modeling, 7th Edition

Master business modeling and analysis techniques with Microsoft Excel and transform data into bottom-line results. Award-winning educator Wayne Winstons hands-on, scenario-focused guide helps you use todays Excel to ask the right questions and get accurate, actionable answers. More extensively updated than any previous edition, new coverage ranges from one-click data analysis to STOCKHISTORY, dynamic arrays to Power Query, and includes six new chapters. Practice with over 900 problems, many based on real challenges faced by working analysts. Solve real problems with Microsoft Exceland build your competitive advantage. Quickly transition from Excel basics to sophisticated analytics; Use recent Power Query enhancements to connect, combine, and transform data sources more effectively; Use the LAMBDA and LAMBDA helper functions to create Custom Functions without VBA; Use New Data Types to import data including stock prices, weather, information on geographic areas, universities, movi ...
Microsoft Excel Inside Out
Microsoft Excel Inside Out

Dive Into Microsoft Excel for Office 2021 and Microsoft 365 and really put your spreadsheet expertise to work. This supremely well-organized reference packs hundreds of timesaving solutions, tips, and workaroundsall you need to make the most of Excels most powerful tools for analyzing data and making better decisions. Renowned Excel expert Bill Jelen offers a complete tour of Excel and its latest innovations, from advanced analysis and visualizations to dashboards. Discover how experts tackle todays key tasksand challenge yourself to new levels of mastery. Save time with galleries, keyboard accelerators, and other shortcuts; Enter formulas more efficiently, and fully control operators and dates; Use new data types to return photos, arrays, or weather history and even create your own; Master Excels most widely-used functions; Integrate external data from the web and other sources; Use the new XLOOKUP function to retrieve data more efficiently, with fewer errors; Store powerful specia ...
Intermediate Statistics with R
Intermediate Statistics with R

Introductory statistics courses prepare students to think statistically but cover relatively few statistical methods. Building on the basic statistical thinking emphasized in an introductory course, a second course in statistics at the undergraduate level can explore a large number of statistical methods. This text covers more advanced graphical summaries, One-Way ANOVA with pair-wise comparisons, Two-Way ANOVA, Chi-square testing, and simple and multiple linear regression models. Models with interactions are discussed in the Two-Way ANOVA and multiple linear regression setting with categorical explanatory variables. Randomization-based inferences are used to introduce new parametric distributions and to enhance understanding of what evidence against the null hypothesis "looks like". Throughout, the use of the statistical software R via Rstudio is emphasized with all useful code and data sets provided within the text. ...
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