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Python with NumPy For Absolute Beginners | Free Udemy Course
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Python with NumPy For Absolute Beginners | Free Udemy Course

Free $19.99100% off
Price expires 5 days ago or 763 uses

Learn Python & Numpy with simple videos | Free Udemy Course

4.46
(279 ratings)
23289 students
Created by:
Surendra Varma Pericherla
Last updated 10/2022Course Language EnglishCourse Caption English [Auto]Course Length 02:02:12 to be exact 7332 seconds!Number of Lectures 36
This course includes:
  • 2 hours hours of on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

NumPy is a basic level external library in Python used for complex mathematical operations. NumPy overcomes slower executions with the use of multi-dimensional array objects. It has built-in functions for manipulating arrays. We can convert different algorithms to can into functions for applying on arrays. NumPy has applications that are not only limited to itself. It is a very diverse library and has a wide range of applications in other sectors. Numpy can be put to use along with Data Science, Data Analysis and Machine Learning. It is also a base for other python libraries. These libraries use the functionalities in NumPy to increase their capabilities.This course introduce with all majority of concept of NumPy - numerical python library.You will learn following topics :1) Creating Arrays using Numpy in Python2) Accessing Arrays using Numpy in Python3) Finding Dimension of the Array using Numpy in Python4) Negative Indexing on Arrays using Numpy in Python5) Slicing an Array using Numpy in Python6) Checking Datatype of an Array using Numpy in Python7) Copying an Array using Numpy in Python8) Iterating through arrays using Numpy in Python9) Shape of Arrays using Numpy in Python10) Reshaping Arrays using Numpy in Python11) Joining Arrays using Numpy in Python12) Splitting Array using Numpy in Python13) Sorting an Array using Numpy in Python14) Searching in Array using Numpy in Python15) Filtering an Array using Numpy in Python16) Generating a Random Array using Numpy in PythonArrays in Numpy are equivalent to lists in python. Like lists in python, the Numpy arrays are homogenous sets of elements. The most important feature of NumPy arrays is they are homogenous in nature. This differentiates them from python arrays. It maintains uniformity for mathematical operations that would not be possible with heterogeneous elements. Another benefit of using NumPy arrays is there are a large number of functions that are applicable to these arrays. These functions could not be performed when applied to python arrays due to their heterogeneous nature.Happy learningSurendra Varma PericherlaWho this course is for:Engineering Students, Software Developers And Aspiring Data Scientists

Course Content:

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2 Lectures | 38:11
2 Lectures | 10:48
20 Lectures | 01:01:10
12 Lectures | 12:03
4.46
(279 course ratings)
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1/279
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