Summary
In this chapter, we introduced some advanced tricks that are important when you want to write efficient and concise programs in Python. We started with advanced functions such as the mapper, reducer, and filter functions. We also discussed several advanced concepts of functions, such as inner functions, lambda functions, and decorators. This was followed by a discussion of how to use data structures, including nested dictionaries and comprehensions. Finally, we reviewed the fundamental operations of a DataFrame object, and then we evaluated a few use cases using some advanced operations of the DataFrame object.
This chapter mainly focused on hands-on knowledge and experience of how to use advanced concepts in Python. This is important for anyone who wants to develop Python applications, especially for data analysis. The code examples provided in this chapter are very helpful for you to begin learning the advanced tricks that are available for functions, data structures...
