Christian Mayer

Brain Games Python

Learn eight principles to simplify your code and become a more effective (and successful) programmer. Most software developers waste thousands of hours working with overly complex code. The eight core principles in The Art of Clean Coding will teach you how to write clear, maintainable code without compromising functionality. The book's guiding principle is simplicity: reduce and simplify, then reinvest energy in the important parts to save you countless hours and ease the often onerous task of code maintenance. Bestselling author Christian Mayer leverages his experience helping thousands perfect their coding skills in this new book. With expert advice and real-world examples, he'll show you how to: - Concentrate on the important stuff with the 80/20 principle -- focus on the 20% of your code that matters most - Avoid coding in isolation: create a minimum viable product to get early feedback - Write code cleanly and simply to eliminate clutter - Avoid premature optimization that risks over-complicating code - Balance your goals, capacity, and feedback to achieve the productive state of Flow - Apply the Do One Thing Well philosophy to vastly improve functionality - Design efficient user interfaces with the Less is More principle - Tie your new skills together into one unifying principle: Focus The Python-based The Art of Clean Coding is suitable for programmers at any level, with ideas presented in a language-agnostic manner.

Best Practices to Eliminate Complexity and Simplify Your Life

The Art of Clean Code

When you ski in Greece, you smell the sea breeze. The sea is never too far. The first guide for ski mountaineering in Greece. It includes general instructions and detailed descriptions for routes in 23 mountains on the greek mainland, the Peloponnese, Evia and Crete. In every mountain there is a detailed map where all the suggested routes are marked and many photos.

Ski touring with a sea view

Do you still waste your time PASSIVELY reading Python books? Puzzle-based learning is an ACTIVE learning technique. With code puzzles, you will learn faster, smarter, and better. The Coffee Break Python book series teaches you Python in byte-sized code puzzles. You solve a code puzzle a day while you enjoy your morning coffee. It's that simple. What do others have to say? 21,000 online Python students have already improved their coding skills with our unique puzzle-based learning technique: "I very much enjoy your Finxter.com website because it has some real meat to the problems. Thank you so much for doing this project! I love it!" --David C. "Your site is awesome." --Victor A. "I found Finxter.com an excellent tool to brush up on my Python skills. I totally love the setup of playing against the questions - such a wonderful idea --Jesper R. Why should you read this book? Coffee Break Python Slicing is all about growing your Python expertise--one coffee at a time. The focus lies on the important slicing technique to access consecutive data ranges. Understanding slicing thoroughly is crucial for your success as a Python developer. This book teaches you everything you need to know about slicing in Python. As a bonus, you will track your individual Python coding skill level throughout the book. Who should read this book? You are slightly beyond beginner-level in Python. For example, You have already experience with another programming language--it's time to tackle Python. You are a professional engineer and want to brush up your Python skills. You are a student and need to get better at Python for academic courses. You have read the first book of our Coffee Break Python series. So how do you spend your Coffee Break? Python!

24 Workouts to Master Slicing in Python, Once and for All

Coffee Break Python Slicing

A Letter from M Christian Mayer, Astronomer to the Elector Palatine to Mr N N, on the Going of a New Pendulum Clock Made by John Arnold and Set Up in the Elector's Observatory at Manheim (translated from the German).

John Arnold

A Letter from Christian Mayer ..., On the Going of a New Pendulum Clock, Made by Mr. John Arnold, and Set Up in the Elector's Observatory at Manheim

The 18th century was a wealth of knowledge, exploration and rapidly growing technology and expanding record-keeping made possible by advances in the printing press. In its determination to preserve the century of revolution, Gale initiated a revolution of its own: digitization of epic proportions to preserve these invaluable works in the largest archive of its kind. Now for the first time these high-quality digital copies of original 18th century manuscripts are available in print, making them highly accessible to libraries, undergraduate students, and independent scholars. Medical theory and practice of the 1700s developed rapidly, as is evidenced by the extensive collection, which includes descriptions of diseases, their conditions, and treatments. Books on science and technology, agriculture, military technology, natural philosophy, even cookbooks, are all contained here. ++++ The below data was compiled from various identification fields in the bibliographic record of this title. This data is provided as an additional tool in helping to insure edition identification: ++++ British Library T154614 London: printed for T. Becket, 1781. viii,19, [1]p.; 4°

A Letter from M. Christian Mayer, Astronomer to the Elector Palatine, to Mr. N. N. on the Going of a New Pendulum Clock, Made by Mr. John Arnold, and Set Up in the Elector's Observatory at Manheim. (Translated from the German.)

Flotsam and jetsam

On the Going of a Pendulum Clock, Made by M. John Arnold and Set Up in the Electris Observitory at Manheim

A Letter from M. Christian Mayer to Mr. N.N.

Adam Schroeder

Ann Marie Ward

Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code. The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You’ll learn the basic format of a Dash app in a Twitter analysis dashboard that tracks numbers of likes over time. You’ll then build up skills through three more sophisticated projects. The first compares world data in three areas: volume of internet usage, percentage of parliament seats held by women, and CO2 emissions; the second is a financial portfolio dashboard that models your investments; and the third is visualizesmachine learning algorithms. The final chapter sets you up with some useful final skills, like debugging your code and applying color themes. In this book you will: Create and run your first Dash apps Use the pandas library to manipulate and analyze social media and API data Create a variety of stunning and effective charts using Plotly Learn to use bar charts, chloropleth maps, contour plots, and more Examine and build on existing apps written by the pros Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.

Build Dashboards with Python and Plotly

The Book of Dash

Python programmers will improve their computer science skills with these useful one-liners. Python One-Liners will teach you how to read and write "one-liners": concise statements of useful functionality packed into a single line of code. You'll learn how to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert. The book's five chapters cover tips and tricks, regular expressions, machine learning, core data science topics, and useful algorithms. Detailed explanations of one-liners introduce key computer science concepts and boost your coding and analytical skills. You'll learn about advanced Python features such as list comprehension, slicing, lambda functions, regular expressions, map and reduce functions, and slice assignments. You'll also learn how to: • Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution • Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics • Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning • Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators • Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting By the end of the book, you'll know how to write Python at its most refined, and create concise, beautiful pieces of "Python art" in merely a single line.

Write Concise, Eloquent Python Like a Professional

Python One-Liners

How to learn Python during your coffee break? Coffee Break Python is a new step-by-step system to teach you how to learn Python faster, smarter, and better. You do nothing but solving one practical Python puzzle as you enjoy your morning coffee. Why should you care about puzzle-based learning? Educational research shows that practical low-stake puzzles and tests help you to learn faster, smarter, and better. We used this for coding in Coffee Break Python and our academy Finxter.com. 13,000 online Python students have already improved their coding skills with our unique puzzle-based learning technique: "I very much enjoy your Finxter.com website because it has some real meat to the problems. Thank you so much for doing this project! I love it!" --David C. "Your site is awesome." --Victor A. "I found Finxter.com an excellent tool to brush up on my Python skills. I totally love the setup of playing against the questions - such a wonderful idea --Jesper R. Why should you read this book? As you work through Coffee Break Python, your Python expertise will grow--one coffee at a time. It's packed with 50 Python puzzles, 10 practical learning tips, 5 compressed cheat sheets, and 1 new way to measure your coding skills. You will train wildly important Python topics such as Arithmetic operations: integer & float division, and modular arithmetic; Language elements: branching, loops, keywords, and functions; Data structures: integer, float, string, list, set, dictionary, and graph; Sequence operators: indexing, concatenation, slicing, and built-in functions; Function *arguments: default *, arbitrary *, unpacking *, keyword *; Set operations: lambda, filter, map, and intersection functions; and Algorithms: recursion, Fibonacci, matrix search, bubble sort, quick sort, lexicographical sort, guess & check, binary search, and graph traversal. As a bonus, you will track your individual Python coding skill level throughout the book. Who should read this book? You are slightly beyond beginner-level in Python. For example, You have already experience with another programming language--it's time to tackle Python. You are a professional engineer and want to brush up your Python skills. You are a student and need to get better at Python for academic courses. So how do you spend your Coffee Break? Python!

50 Workouts to Kickstart Your Rapid Code Understanding in Python

Coffee Break Python

Learn eight principles to simplify your code and become a more effective (and successful) programmer. Most software developers waste thousands of hours working with overly complex code. The eight core principles in The Art of Clean Coding will teach you how to write clear, maintainable code without compromising functionality. The book’s guiding principle is simplicity: reduce and simplify, then reinvest energy in the important parts to save you countless hours and ease the often onerous task of code maintenance. Bestselling author Christian Mayer leverages his experience helping thousands perfect their coding skills in this new book. With expert advice and real-world examples, he’ll show you how to: Concentrate on the important stuff with the 80/20 principle -- focus on the 20% of your code that matters most Avoid coding in isolation: create a minimum viable product to get early feedback Write code cleanly and simply to eliminate clutter Avoid premature optimization that risks over-complicating code Balance your goals, capacity, and feedback to achieve the productive state of Flow Apply the Do One Thing Well philosophy to vastly improve functionality Design efficient user interfaces with the Less is More principle Tie your new skills together into one unifying principle: Focus The Python-based The Art of Clean Coding is suitable for programmers at any level, with ideas presented in a language-agnostic manner.

In singulos Anni dies Ecclesiastico tempori congruenter digestarum ... In sex diuisum partes, quarum indicem sequens pagella exhibet

R. P. Christiani Mayer E Societate Iesv, Diarivm Meditationvm, De Praecipvis Vitae Christi mysteriis: Diuinis beneficiis, attributis ...

Create stunning interactive dashboard applications in Python with the Dash visualization and data analysis tool. Build interfaces that make sense of your data, and make it pretty. A swift and practical introduction to building interactive data visualization apps in Python, known as dashboards. You’ve seen dashboards before; think election result visualizations you can update in real time, or population maps you can filter by demographic. With the Python Dash library you’ll create analytic dashboards that present data in effective, usable, elegant ways in just a few lines of code. The book is fast-paced and caters to those entirely new to dashboards. It will talk you through the necessary software, then get straight into building the dashboards themselves. You’ll learn the basic format of a Dash app by building a twitter analysis dashboard that maps the number of likes certain accounts gained over time. You’ll build up skills through three more sophisticated projects. The first is a global analysis app that compares country data in three areas: the percentage of a population using the internet, percentage of parliament seats held by women, and CO2 emissions. You’ll then build an investment portfolio dashboard, and an app that allows you to visualize and explore machine learning algorithms. In this book you will: • Create and run your first Dash apps • Use the pandas library to manipulate and analyze social media data • Use Git to download and build on existing apps written by the pros • Visualize machine learning models in your apps • Create and manipulate statistical and scientific charts and maps using Plotly Dash combines several technologies to get you building dashboards quickly and efficiently. This book will do the same.

Python Dash

Nathan Hook

Markus Montola

Rafael Bienia

Klaus Peill

Carl David Habbe

Warum glauben wir, dass fette Elfen schlechte Spieler sind? Welchen Reiz üben extreme Rollenspielerfahrungen auf die Teilnehmer aus? Und was können Plotschreiber von Joseph Campbells Der Held mit den tausend Gesichtern lernen? Mit diesen und weiteren Fragen beschäftigen sich die Autoren dieser Aufsatzsammlung. Ihre Beiträge handeln von unserem Verhältnis zu LARP und anderen LARPern, von uns als Helden und Autoren sowie davon, was wir im LARP lernen und erleben können.

Aufsatzsammlung zum MittelPunkt 2012

Larp und ich

Ulrich C. Schreiber

This book introduces a fresh perspective on the conditions for the genesis of the first cell. An important possible environment of the prehistoric Earth has long been overlooked as a host to the perfect biochemical conditions for this process. The first complexes of continental crust on the early Earth must have already contained systems of interconnected cracks and cavities, which were filled with volatiles like water, carbon dioxide and nitrogen. This book offers insights into how these conditions may have provided the ideal physical and chemical setting for the formation of protocells and early stages of life. The authors support their hypothesis with a number of astonishing findings from laboratory experiments focusing on a variety of organic compounds, and on the formation of key cellular ingredients and of primitive cell-like structures. Moreover, they discuss the principles of prebiotic evolution regarding the aspects of order and complexity. Guiding readers through various stages of hypotheses and re-created evolutionary processes, the book is enriched with personal remarks and experiences throughout, reflecting the authors' personal quest to solve the mystery surrounding the first cell.

The Mystery Surrounding the Beginning of Life

The First Cell

Python One-Liners will show readers how to perform useful tasks with one line of Python code. Following a brief Python refresher, the book covers essential advanced topics like slicing, regular expressions, list comprehension, broadcasting, lambda functions, algorithms, logistic regression and more. Each chapter introduces a problem to solve, walks the reader through the skills necessary to solve the problem, then provides a concise one-liner Python solution with a detailed explanation.

Christian Mayer

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