Hands On Numpy For Numerical Analysis
Download Hands On Numpy For Numerical Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Hands On Numpy For Numerical Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Hands-on NumPy for Numerical Analysis
Author: Rituraj Dixit
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2025-03-18
TAGLINE Unlock the Power of NumPy to Accelerate Data Analysis and Computing. KEY FEATURES ● Master NumPy concepts with hands-on examples and real-world use cases. ● Learn efficient numerical data analysis and performance optimization. ● Explore advanced NumPy functions for data science and ML workflows. DESCRIPTION NumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools. Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance. Whether you're building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don't get left behind—harness the full power of NumPy to supercharge your data science and machine learning projects today! WHAT WILL YOU LEARN ● Master NumPy array operations for high-performance numerical computing. ● Optimize data analysis workflows with efficient NumPy techniques. ● Perform advanced linear algebra and matrix operations using NumPy. ● Conduct statistical and exploratory data analysis with NumPy tools. ● Build end-to-end data processing pipelines with NumPy. ● Leverage NumPy for predictive modeling and machine learning tasks. WHO IS THIS BOOK FOR? This book is tailored for data scientists, analysts, engineers, and researchers looking to master NumPy for efficient numerical computing. A basic understanding of Python is recommended, but no prior expertise in numerical analysis is required. TABLE OF CONTENTS 1. Getting Started with NumPy 2. Understanding NumPy Array 3. Data Type (dtype) in NumPy Array 4. Indexing and Slicing in NumPy Array 5. NumPy Array Operations 6. NumPy Array I/O 7. Linear Algebra with NumPy 8. Advanced Numerical Computing 9. Exploratory Data Analysis 10. Performance Optimization 11. Implementing a Machine Learning Algorithm Index
Hands-on NumPy for Numerical Analysis: Unlock NumPy with Google Colab for High-Performance Numerical Computing and Optimizing Numerical Data Analysis
Author: Rituraj Dixit
language: en
Publisher: Orange Education Pvt Limited
Release Date: 2025-03-18
Unlock the Power of NumPy to Accelerate Data Analysis and Computing. Key Features● Master NumPy concepts with hands-on examples and real-world use cases.● Learn efficient numerical data analysis and performance optimization.● Explore advanced NumPy functions for data science and ML workflows. Book DescriptionNumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools. Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance. Whether you're building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don't get left behind—harness the full power of NumPy to supercharge your data science and machine learning projects today! What you will learn● Master NumPy array operations for high-performance numerical computing.● Optimize data analysis workflows with efficient NumPy techniques.● Perform advanced linear algebra and matrix operations using NumPy.● Conduct statistical and exploratory data analysis with NumPy tools.● Build end-to-end data processing pipelines with NumPy.● Leverage NumPy for predictive modeling and machine learning tasks.
Hands-On Data Analysis with NumPy and pandas
Author: Curtis Miller
language: en
Publisher: Packt Publishing Ltd
Release Date: 2018-06-29
Get to grips with the most popular Python packages that make data analysis possible Key Features Explore the tools you need to become a data analyst Discover practical examples to help you grasp data processing concepts Walk through hierarchical indexing and grouping for data analysis Book Description Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning. Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python’s NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python’s pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them. By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation. What you will learn Understand how to install and manage Anaconda Read, sort, and map data using NumPy and pandas Find out how to create and slice data arrays using NumPy Discover how to subset your DataFrames using pandas Handle missing data in a pandas DataFrame Explore hierarchical indexing and plotting with pandas Who this book is for Hands-On Data Analysis with NumPy and Pandas is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book.