December 2018
Beginner to intermediate
490 pages
10h 38m
English
Overview
Data Analysis with Python bridges the gap between programming and data science to offer a comprehensive look at using Python for advanced data analysis. Through the author's expert guidance, you'll master Python libraries, AI techniques, and tools like Jupyter Notebook, enabling you to tackle complex data problems and elevate your analytical skills.
What this Book will help me do
- Harness the power of Python libraries such as TensorFlow for image recognition applications.
- Conduct sentiment analysis by applying natural language processing techniques to social media data.
- Analyze financial time series to understand patterns and make predictions in economic contexts.
- Explore graph algorithms in data analysis with hands-on case studies focusing on flight data.
- Develop and deploy your own customizable data analysis tools using PixieDust and Python.
Author(s)
David Taieb, the author of 'Data Analysis with Python', is a seasoned data scientist and software engineer with vast experience in data analysis, Python programming, and artificial intelligence applications. Through a pragmatic and accessible teaching style, David bridges the gap between theoretical concepts and practical understanding, helping readers apply tools and techniques to real-world scenarios.
Who is it for?
This book is ideal for developers looking to expand their skills into data science and analysis-focused programming. If you have some background in Python, data interpretation, and visualization, this book will elevate your understanding and abilities. Experienced data scientists will also find valuable insights and implementations for real-world projects. It's a perfect read for those wishing to enhance their data analysis proficiency with Python.
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