دانلود کتاب اصول NumPy را بیاموزید

This weekend, we will cover many fundamental operations of the NumPy. Many of the sections will be similar to those in Data Science Essentials if read. New NumPy-related developments seem to come to our attention every week, or maybe even daily. At the time of the first edition, the NumFocus, short for NumPy Foundation for Open Code for Usable Science, was created Also, what will you learn? You will learn that NumPy has very efficient arrays that are easy to use due to the powerful indexing mechanism. This chapter describes some of the more advanced and tricky indexing techniques. Also we will try to make an attempt to document the most essential methods that every NumPy user should know. NumPy has many methods—too many to even mention in this book!
What will we cover in this weekend?
● 01. Introduction & Installation (5 steps + 3 steps)
● 02. Images Resizing (4 steps)
● 03. Copy vs. View (3 steps)
● 04. Images Flipping (3 steps)
● 05. Fancy Indexing (2 steps)
● 06. Indexing with a List (2 steps)
● 07. Boolean Indexing (2 steps)
● 08. Stride for Sudoku (3 steps)
● 09. Broadcasting Arrays (5 steps)
● –. Checkpoint
● 10. Summing Fibonacci (6 steps)
● 11. Prime Factors (4 steps)
● 12. Palindromic Numbers (2 steps)
● 13. The Steady State (8 steps)
● 14. Power Law (4 steps)
● 15. Trading Periodically on Dips (3 steps)
● 16. Simulating Trading (4 steps)
● 17. Sieving Integers with the Sieve of Eratosthenes (2 steps)
● 20. Summary