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Hands-On Data Analysis with NumPy and pandas
Curtis Miller
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Hands-On Data Analysis with NumPy and pandasCurtis Miller
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.
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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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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出版社Packt Publishing
出版时间2018年6月
字数104,927
分类科学技术-工业技术
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Hands-On Data Analysis with NumPy and pandas
Curtis Miller
- 扉页
- 版权信息+书签
- Packt Upsell
- Why subscribe?
- PacktPub.com
- Contributors
- About the author
- Packt is searching for authors like you
- Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Download the example code files
- Conventions used
- Get in touch
- Reviews
- Setting Up a Python Data Analysis Environment
- What is Anaconda?
- Installing Anaconda
- Exploring Jupyter Notebooks
- Exploring alternatives to Jupyter
- Spyder
- Rodeo
- ptpython
- Package management with Conda
- What is Conda?
- Conda environment management
- Managing Python
- Package management
- Setting up a database
- Installing MySQL
- MySQL connectors
- Creating a database
- Summary
- Diving into NumPY
- NumPy arrays
- Special numeric values
- Creating NumPy arrays
- Creating ndarray
- Summary
- Operations on NumPy Arrays
- Selecting elements explicitly
- Slicing arrays with colons
- Advanced indexing
- Expanding arrays
- Arithmetic and linear algebra with arrays
- Arithmetic with two equal-shaped arrays
- Broadcasting
- Linear algebra
- Employing array methods and functions
- Array methods
- Vectorization with ufuncs
- Custom ufuncs
- Summary
- pandas are Fun! What is pandas?
- What does pandas do?
- Exploring series and DataFrame objects
- Creating series
- Creating DataFrames
- Adding data
- Saving DataFrames
- Subsetting your data
- Subsetting a series
- Indexing methods
- Slicing a DataFrame
- Summary
- Arithmetic, Function Application, and Mapping with pandas
- Arithmetic
- Arithmetic with DataFrames
- Vectorization with DataFrames
- DataFrame function application
- Handling missing data in a pandas DataFrame
- Deleting missing information
- Filling missing information
- Summary
- Managing, Indexing, and Plotting
- Index sorting
- Sorting by values
- Hierarchical indexing
- Slicing a series with a hierarchical index
- Plotting with pandas
- Plotting methods
- Summary
- Other Books You May Enjoy
- Leave a review - let other readers know what you think
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