Once we have a data frame available, there are several pandas available to further process the data. We will look at pandas to:
- groupby function
- Manipulate the columns
- Calculate outliers
- Preface
- Jupyter and Data Science
- Jupyter concepts
- A first look at the Jupyter user interface
- Detailing the Jupyter tabs
- What actions can I perform with Jupyter?
- What objects can Jupyter manipulate?
- Viewing the Jupyter project display
- How does it look when we execute scripts?
- Industry data science usage
- Real life examples
- Using Docker with Jupyter
- How to share notebooks with others
- How can you secure a notebook?
- Summary
- Working with Analytical Data on Jupyter
- Data Visualization and Prediction
- Data Mining and SQL Queries
- R with Jupyter
- Data Wrangling
- Jupyter Dashboards
- Statistical Modeling
- Machine Learning Using Jupyter
- Optimizing Jupyter Notebooks
Using pandas to work with data frames
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.