Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Data Analysis with Python: A Modern Approach


Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

Key Features

  • Bridge your data analysis with the power of programming, complex algorithms, and AI
  • Use Python and its extensive libraries to power your way to new levels of data insight
  • Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series
  • Explore this modern approach across with key industry case studies and hands-on projects

Book Description

Data Analysis with Python offers a modern approach to data analysis so that you can work with the latest and most powerful Python tools, AI techniques, and open source libraries. Industry expert David Taieb shows you how to bridge data science with the power of programming and algorithms in Python. You'll be working with complex algorithms, and cutting-edge AI in your data analysis. Learn how to analyze data with hands-on examples using Python-based tools and Jupyter Notebook. You'll find the right balance of theory and practice, with extensive code files that you can integrate right into your own data projects.

Explore the power of this approach to data analysis by then working with it across key industry case studies. Four fascinating and full projects connect you to the most critical data analysis challenges you're likely to meet in today. The first of these is an image recognition application with TensorFlow – embracing the importance today of AI in your data analysis. The second industry project analyses social media trends, exploring big data issues and AI approaches to natural language processing. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. The fourth industry use case dives you into graph algorithms and the power of programming in modern data science. You'll wrap up with a thoughtful look at the future of data science and how it will harness the power of algorithms and artificial intelligence.

What you will learn

  • A new toolset that has been carefully crafted to meet for your data analysis challenges
  • Full and detailed case studies of the toolset across several of today's key industry contexts
  • Become super productive with a new toolset across Python and Jupyter Notebook
  • Look into the future of data science and which directions to develop your skills next

Who this book is for

This book is for developers wanting to bridge the gap between them and data scientists. Introducing PixieDust from its creator, the book is a great desk companion for the accomplished Data Scientist. Some fluency in data interpretation and visualization is assumed. It will be helpful to have some knowledge of Python, using Python libraries, and some proficiency in web development.

Table of Contents

  1. Programming and Data Science – A New Toolset
  2. Python and Jupyter Notebooks to Power your Data Analysis
  3. Accelerate your Data Analysis with Python Libraries
  4. Publish your Data Analysis to the Web - the PixieApp Tool
  5. Python and PixieDust Best Practices and Advanced Concepts
  6. Analytics Study: AI and Image Recognition with TensorFlow
  7. Analytics Study: NLP and Big Data with Twitter Sentiment Analysis
  8. Analytics Study: Prediction - Financial Time Series Analysis and Forecasting
  9. Analytics Study: Graph Algorithms - US Domestic Flight Data Analysis
  10. The Future of Data Analysis and Where to Develop your Skills
(HTML tags aren't allowed.)

Handbook of Probability
Handbook of Probability


Written in a clear, accessible, and comprehensive manner, the Handbook of Probability presents the fundamentals of probability with an emphasis on the balance of theory, application, and methodology. Utilizing basic examples throughout, the handbook...

The Biggest Secret: The Book That Will Change the World (Updated Second Edition)
The Biggest Secret: The Book That Will Change the World (Updated Second Edition)

David Icke's most powerful and explosive book so far. Every man, woman and child on the planet is affected by the stunning information that Icke exposes. He reveals in documented detail, how the same interconnecting bloodlines have controlled the planet for thousands of years. How they created all the major religions and suppressed the...

Practical SharePoint 2013 Governance (Expert's Voice in Sharepoint)
Practical SharePoint 2013 Governance (Expert's Voice in Sharepoint)

Practical SharePoint 2013 Governance is the first book to offer practical and action-focused SharePoint governance guidance based on consulting experiences with real organizations in the field. It provides the quintessential governance reference guide for SharePoint consultants, administrators, architects, and anyone else looking for...

Microsoft Windows security inside out for Windows XP and Windows 2000
Microsoft Windows security inside out for Windows XP and Windows 2000
Hey, you know your way around a desktop-so now dig into the Windows operating system and really put its security features to work! Covering Windows XP Professional, Windows XP Home Edition, and Windows 2000 Professional, this supremely organized reference packs hundreds of timesaving solutions, checklists, troubleshooting tips, and workarounds-all...
Build Your Own Security Lab: A Field Guide for Network Testing
Build Your Own Security Lab: A Field Guide for Network Testing
Welcome to Build Your Own Security Lab. With this book, you can increase your hands-on IT security skills. The techniques and tools discussed in this book can benefit IT security designers and implementers. IT security designers will benefit as they learn more about specific tools and their capabilities. Implementers will gain firsthand experience...
High Performance Python: Practical Performant Programming for Humans
High Performance Python: Practical Performant Programming for Humans

Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python’s implementation. You’ll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume...

©2020 LearnIT (support@pdfchm.net) - Privacy Policy