Ivan Idris konzentriert sich auf das Schreiben von technischen Artikeln und sauberem, testbarem Code. Seine beruflichen Hauptinteressen liegen in den Bereichen Business Intelligence, Big Data und Cloud Computing. Er setzt seine Expertise ein, um technische Publikationen zu erstellen, die komplexe Technologien für Leser verständlich machen. Sein Ansatz betont die praktische Anwendung und die Transparenz des Codes, was seine Arbeit sowohl informativ als auch zugänglich macht.
The book is written in beginner's guide style with each aspect of NumPy demonstrated with real world examples and required screenshots.If you are a programmer, scientist, or engineer who has basic Python knowledge and would like to be able to do numerical computations with Python, this book is for you. No prior knowledge of NumPy is required.
Written in Cookbook style, the code examples will take your Numpy skills to the next level. This book will take Python developers with basic Numpy skills to the next level through some practical recipes.
About This Book Written as a step-by-step guide, this book aims to give you a strong foundation in NumPy and breaks down its complex library features into simple tasks Perform high performance calculations with clean and efficient NumPy code Analyze large datasets with statistical functions and execute complex linear algebra and mathematical computations Who This Book Is For This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources.