Welcome to the most comprehensive course on the NumPy library of Python! This complete guide on Numpy helps you take your Python skills to the next level. At the end of the course, you shall have gained enough expertise in the Numpy library so as to venture into the field of data driven technologies which are hot and trending - data science, data analysis, and machine learning.

Numpy, or Numerical Python, works under the hood; is the backbone of many other Python libraries. Pandas, ScikitLearn, SciPy, Tkinter, Matplotlib - they all are built on top of NumPy;

So, if you know NumPy well, you will find it easy to explore these libraries of data science and data analysis and can join the hottest skill of the century: Data Science & Machine Learning.

And don't you worry! In this course, we'll cover every nooks and crannies the Numpy library offers. You won't find such an elaborate tutorial on Numpy on Udemy, for sure! Intended for absolute beginners who know Python , and want to venture into data science and machine learning, but don't know where to start, the course covers complete details of every important concept of Numpy, including

• What is NumPy,

• Where it is used

• How and why it works with numbers so easily

• Concept of numerical arrays

• Creating arrays

• Insert, update and delete Numpy arrays

• Array manipulation using Numpy

• Important functions (methods) in Numpy

• Linear algebra with Numpy

  
  

You also get the opportunity to apply your newly-learned Numpy skills and knowledge of Python, on practical projects.

All this and more in the course!

This course is still in a draft mode. I am still adding more and more content, quiz, projects related to data processing with different functionalities of Numpy. So stay tuned and enroll now.