NumPy in Python with Coding Exercises

Improve your NumPy and Recursion skills in Python programming and solve coding exercise on each concept !

What you'll learn

1. hands-on experience of 70+ coding exercises
2. arrays in NumPy
3. random Numbers in NumPy
4. ufuncs in NumPy
5. all about recursion
6. deal with real programming problems in data science

Requirements

• basic knowledge of python
  basic knowledge of NumPy library

Description

You will learn following concepts by solving coding exercises:
Creating Arrays using Numpy in Python
Accessing Arrays using Numpy in Python
Finding Dimension of the Array using Numpy in Python
Negative Indexing on Arrays using Numpy in Python
Slicing an Array using Numpy in Python
Checking Datatype of an Array using Numpy in Python
Copying an Array using Numpy in Python
Iterating through arrays using Numpy in Python
Shape of Arrays using Numpy in Python
Reshaping Arrays using Numpy in Python
Joining Arrays using Numpy in Python
Splitting Array using Numpy in Python
Sorting an Array using Numpy in Python
Searching in Array using Numpy in Python
Filtering an Array using Numpy in Python
ufuncs in Numpy (Arithmetic operations on arrays)
Generate Random Number using Numpy in Python
Generate Random Float using Numpy in Python
Generate Random Array using Numpy in Python
Generate Random Number From Array using Numpy in Python
Create Sets in Numpy
Finding Union of Sets in Numpy
Finding Intersection of Sets in Numpy
Finding Difference of Sets in Numpy
Recursion in Python

Author(s): Data Is Good Academy

---

---

Take Course

Enroll Now

---

---

---