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Hands-On Data Analysis with NumPy and Pandas: Implement Python packages from data manipulation to processing
Paperback
ISBN13: 9781789530797
Publisher: Packt Publishing
Published: Jun 29 2018
Pages: 168
Weight: 0.66
Height: 0.36 Width: 7.50 Depth: 9.25
Language: English
Implement Python packages from data manipulation to processing
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.
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