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Programmers love Go because it is lightweight, easy to work with, and easy to read. Go gives you the benefits of dynamically typed languages (speed of development) while keeping the upsides of strongly typed languages (security and performance). Go is a simple language, but programming in Go is about more than just mastering syntax. There's an art to using Go effectively. Squeeze out the full use of advanced networking and multi-core power for which Go was designed. Save precious coding hours with recipes that help you manage objects, collect garbage, and safely use memory. Tackle Unicode, concurrency, and serialization with ease. All the clean, reusable solutions you need for a wide variety of problems common to Go development. Outfitted with these recipes, your next apps will be more polished and more maintainable than ever. Start out by tackling time and see how the Go time packager provides types that will do most of the heavy lifting for you. Next, work on recipes tailored to the nuances of processing text, like normalizing strings to avoid bugs. From there, whip up some functions on-the-fly and store functions in variables and data structures. Ever wondered why Go seems to be peppered with error handling? Working through the next recipes, you'll discover the benefits, which include more robust code. In the section on HTTP, you'll learn tricks like running multiple HTTP servers on the same port and setting timeouts. With concurrency recipes, you'll limit the number of goroutines to improve performance, give your code awareness of timeouts, and decide when to keep your code sequential instead of making it concurrent. Throughout the book, you'll make Go sizzle following simple recipes and tweaking them to fit your own apps. Using tools like strong typing and concurrency primitives, build a Go codebase that stays maintainable at scale. What You Need: You should know the Go language syntax and have some experience in programming. You will need a Go SDK, a Git client, and for some of the chapters, a C compiler.
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 teaching opportunity, you'll be honing your data science skills while having fun at the same time.Following a simple format, you'll challenge yourself and your understanding of pandas. Read a short Python program that uses pandas, try to guess the output, run the code yourself, and then go to the next page for an explanation of the solution. From common pitfalls and hidden gotchas to unexpected twists and turns, you'll deepen your understanding of pandas, learn to write more efficient code, and reduce the number of bugs in the software you develop. You may even impress your colleagues and your employers, both present and future.Learn the tricks of the trade with Python's pandas, in one of the most fun and creative ways around.What You Need:To run the code you'll need Python version 3.8 or upper and Pandas version 1.0 or upper installed.We use Python version 3.8.3 and Pandas version 1.0.5; the output might change in future versions.
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!At the beginning of each chapter I'll show you a short Python program and will ask you to guess the output. The possible answers can be:Syntax errorExceptionHangSome output (e.g. `[1 2 3]`)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 when fixing bugs, you'll find you enjoy bug hunting more and become a better developer after each bug you fix.Many of these puzzles are from the author's lessons learned (and others) of shipping bugs to production. He often uses the puzzles as quizzes during conferences and meetups, and they tend to create a buzz of excitement.What You Need:You need to know Python at some level and have experience programming with it.NOTE: The book uses Python version 3.8.2 to run the code; the output _could_ change in future versions.You will need a working Python environment, you can download it from "e;python.org"e;:https://www.python.org/downloads/.You will probably want a good IDE for python, two of the most popular ones are "e;Visual Studio Code"e;:https://code.visualstudio.com/ and "e;PyCharm"e;:https://www.jetbrains.com/pycharm/.
This book contains 25 short programs that will challenge your understanding of Go. Like any big project, the Go 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.
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