NumPy and Recursion in Python - 70 Challenges with Solutions
- Description
- Curriculum
- FAQ
- Reviews
You will learn following concepts by solving coding exercises:
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Creating Arrays using Numpy in Python
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Accessing Arrays using Numpy in Python
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Finding Dimension of the Array using Numpy in Python
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Negative Indexing on Arrays using Numpy in Python
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Slicing an Array using Numpy in Python
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Checking Datatype of an Array using Numpy in Python
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Copying an Array using Numpy in Python
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Iterating through arrays using Numpy in Python
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Shape of Arrays using Numpy in Python
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Reshaping Arrays using Numpy in Python
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Joining Arrays using Numpy in Python
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Splitting Array using Numpy in Python
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Sorting an Array using Numpy in Python
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Searching in Array using Numpy in Python
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Filtering an Array using Numpy in Python
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ufuncs in Numpy (Arithmetic operations on arrays)
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Generate Random Number using Numpy in Python
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Generate Random Float using Numpy in Python
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Generate Random Array using Numpy in Python
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Generate Random Number From Array using Numpy in Python
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Create Sets in Numpy
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Finding Union of Sets in Numpy
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Finding Intersection of Sets in Numpy
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Finding Difference of Sets in Numpy
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Recursion in Python
Why would you take this course?
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Practice and boost your NumPy and Recursion skills in Python with coding exercises.
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I am answering all your questions, usually in less than 24 hours.
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No slides, no boring theory, no rambling, no chitchat. Just coding exercises.
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There is NO REQUIREMENT of any cross-platform. You just need a desktop/laptop and start your practice on Udemy inbuilt IDE without any software!!!
What’s this course all about?
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You will be provided with a complete environment to solve NumPy and Recursion Coding Exercises with their solutions.
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Join us and learn all concepts of arrays in NumPy and Recursion in Python with Coding Exercises.
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Our main target will be hands-on experience of NumPy and Recursion coding with a lot of examples, lectures with solutions with multiple techniques.
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At the end of the course, students will have hands-on experience of NumPy and Recursion and guess what ? We are always there to help you for each exercise 24/7.
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If you are ready to get that first paid programming job, or to move up to a more senior programming position, then this course is for you!
Note:
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The course is designed for people who have basic knowledge of Python and it consists of exercises with solutions.
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This is a great test for people who are learning Python and are looking for new challenges. Exercises are also a good test before the interview.
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Knowledge of Python is one of the most desirable technical skills on the job market. If you’re wondering if it’s worth taking a step towards Python, don’t hesitate any longer and take the challenge today.
Why not get started today?
Click the Signup button to sign up for the course!
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15
Access 1D Array -
16
Solution -
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Access 2D Arrays
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18
Solution
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19
Access 3D Arrays
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20
Solution
Example Explained
arr[0, 1, 2] prints the value 6.
And this is why:
The first number represents the first dimension, which contains two arrays:
[[1, 2, 3], [4, 5, 6]]
and:
[[7, 8, 9], [10, 11, 12]]
Since we selected 0, we are left with the first array:
[[1, 2, 3], [4, 5, 6]]The second number represents the second dimension, which also contains two arrays:
[1, 2, 3]
and:
[4, 5, 6]
Since we selected 1, we are left with the second array:
[4, 5, 6]The third number represents the third dimension, which contains three values:
4
5
6
Since we selected 2, we end up with the third value:
6 -
21
Negative Indexing
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22
Solution
