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Python: End-to-end Data Analysis
Leverage the power of Python to clean, scrape, analyze, and visualize your data About This Book Clean, format, and explore your data using the popular Python libraries and get valuable insights from it Analyze big data sets; create attractive visualizations; manipulate and process various data types using NumPy, SciPy, and matplotlib; and more Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For This course is for developers, analysts, and data scientists who want to learn data analysis from scratch. This course will provide you with a solid foundation from which to analyze data with varying complexity. A working k...
Introduction to Generative AI
Generative AI tools like ChatGPT are amazing—but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you’ll learn: How large language models (LLMs) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where AI is going Anyone who uses ChatGPT for even a few minutes can tell that it...
Learn Concurrent Programming with Go
Concurrency doesn’t need to be confusing. Start writing concurrent code that improves performance, scales up to handle large volumes of data, and takes full advantage of modern multi-processor hardware. Too many developers think concurrency is extremely challenging. Learn Concurrent Programming with Go is here to prove them wrong! This book uses the easy-to-grasp concurrency tools of the Go language to demonstrate principles and techniques, steadily teaching you the best practices of effective concurrency. Techniques learned in this book can be applied to other languages. In Learn Concurrent Programming with Go you will learn how to: Implement effective concurrency for more responsive, hig...
Getting Started with Python Data Analysis
Learn to use powerful Python libraries for effective data processing and analysis About This Book Learn the basic processing steps in data analysis and how to use Python in this area through supported packages, especially Numpy, Pandas, and Matplotlib Create, manipulate, and analyze your data to extract useful information to optimize your system A hands-on guide to help you learn data analysis using Python Who This Book Is For If you are a Python developer who wants to get started with data analysis and you need a quick introductory guide to the python data analysis libraries, then this book is for you. What You Will Learn Understand the importance of data analysis and get familiar with its ...
Python: Real-World Data Science
Unleash the power of Python and its robust data science capabilities About This Book Unleash the power of Python 3 objects Learn to use powerful Python libraries for effective data processing and analysis Harness the power of Python to analyze data and create insightful predictive models Unlock deeper insights into machine learning with this vital guide to cutting-edge predictive analytics Who This Book Is For Entry-level analysts who want to enter in the data science world will find this course very useful to get themselves acquainted with Python's data science capabilities for doing real-world data analysis. What You Will Learn Install and setup Python Implement objects in Python by creati...
Pandas in Action
Take the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software. In Pandas in Action you will learn how to: Import datasets, identify issues with their data structures, and optimize them for efficiency Sort, filter, pivot, and draw conclusions from a dataset and its subsets Identify trends from text-based and time-based data Organize, group, merge, and join separate datasets Use a GroupBy object to store multiple DataFrames Pandas has rapidly become one of Python's most popular data analysis libraries. In Pandas in Action, a friendly and example-rich introduction, author Boris Pas...
Konzept der Assertions und Prinzip von Design-by-Contract in einer kurzen Darstellung (Stand 2005)
Studienarbeit aus dem Jahr 2005 im Fachbereich Informatik - Software, Note: 1, Universität Leipzig (Institut für angewandte Telematik), Veranstaltung: Wegweisende Arbeiten in der Softwaretechnik II. WS 2004/2005., Sprache: Deutsch, Abstract: Die vorliegende Ausarbeitung stellt das Konzept der Assertions vor. Assertions stellen eine Umsetzung des Design-by-Contract-Prinzips dar und ermöglichen eine Überwachung von Code zur Laufzeit. Im folgenden sollen, ausgehend von David S. Rosenblums Paper “Toward a Method of Programming with Assertions” sowohl das Konzept der Assertions, als auch das Prinzip von Design-By-Contract vorgestellt werden. (Ergänzt wird dieser Text durch eine weitere Ausarbeitung im Rahmen des o.g. Seminars. Titel: Assertions in Java )
Library Literature
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Journal of the National Cancer Institute
"Summaries of papers" contained in the journal accompany each issue, 19--
