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07-16-2021, 01:58 AM
Post: #1
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[GET] NumPy in Python with Coding Exercises
NumPy in Python with Coding Exercises
Improve your NumPy and Recursion skills in Python programming and solve coding exercise on each concept ! https://www.udemy.com/course/numpy-and-recursion-in-python/?couponCode=MUBASHIR2 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 Why would you take this course? Practice and boost your NumPy and Recursion skills in Python with coding exercises. I am answering all your questions, usually in less than 24 hours. No slides, no boring theory, no rambling, no chitchat. Just coding exercises. 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? You will be provided with a complete environment to solve NumPy and Recursion Coding Exercises with their solutions. Join us and learn all concepts of arrays in NumPy and Recursion in Python with Coding Exercises. Our main target will be hands-on experience of NumPy and Recursion coding with a lot of examples, lectures with solutions with multiple techniques. 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. 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: The course is designed for people who have basic knowledge of Python and it consists of exercises with solutions. 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. 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! https://www.udemy.com/course/numpy-and-recursion-in-python/?couponCode=MUBASHIR2 Enjoy! |
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09-05-2021, 12:11 AM
Post: #2
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RE: [GET] NumPy in Python with Coding Exercises
New Coupon:
70+ Exercises - Python Programming - Data Science - NumPy Improve your NumPy and Recursion skills in Python programming and solve coding exercise on each concept ! Rating: 4.3 (16 ratings) 19,775 students 1 hour on-demand video 90 articles 71 coding exercises https://www.udemy.com/course/numpy-and-recursion-in-python/?couponCode=1MUBASHIR Enjoy! |
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09-30-2021, 06:31 AM
Post: #3
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RE: [GET] NumPy in Python with Coding Exercises
New Coupon:
NumPy and Recursion in Python - 70 Challenges with Solutions Improve your NumPy and Recursion skills in Python programming and solve coding exercise on each concept ! Rating: 4.3 (20 ratings) 29,667 students 1 hour on-demand video 90 articles 71 coding exercises https://www.udemy.com/course/numpy-and-recursion-in-python/?couponCode=NUMPY1 Enjoy! |
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09-30-2021, 12:00 PM
Post: #4
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RE: [GET] NumPy in Python with Coding Exercises
I screwed up and missed this. If available plz ReUp! BUMP
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