Epython Lab
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Welcome to Epython Lab, where you can get resources to learn, one-on-one trainings on machine learning, business analytics, and Python, and solutions for business problems.

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10 reasons to learn Python in 2019

Python is a high-level, interpreted, general-purpose programming language that supports both object-oriented programming and structured programming. It is quite versatile and offers a lot of functionalities using standard libraries which allows the easy implementation of complex applications.
https://www.geeksforgeeks.org/10-reasons-to-learn-python-in-2019/amp/
Coding challenge
Let N is Natural number greater than or equal to 1.

Print all prime numbers in between 1 and N.
Input 9

Output: 2 3 5 7
Post Solution
https://t.me/joinchat/H8JEqEojXCb0mUfnlAqbVA
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Python Tutorial | Python Functions and Functional Programming

https://morioh.com/p/8a40c3345286
prime.py
402 B
Solution for #Prime_number_challenge
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Result:
2 3 5 7
#NumpyArrayChallenge

Create python code to save Numpy Array to txt file and then read the file

N.B. the purpose of this challenge is to learn how to save large numpy array to file and then use for machine learning.

Input ([[1, 6, 3, 4], [2, 3, 4,6],[7,8,9,10], [89, 67, 68, 90]])

Expected output:
1 6 3 4
2 3 4 6
7 8 9 10
89 67 68 90

Post your solution https://t.me/joinchat/H8JEqEojXCb0mUfnlAqbVA
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#Tips

Why NumPy is faster than array list?

Size:- Numpy data structures take up less space

Performance:- they have a need for speed and are faster than lists

Functionality: - SciPy and NumPy have optimized functions such as linear algebra operations built in.

Memory:- The main benefits of using NumPy arrays should be smaller memory consumption and better runtime behavior. 
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numpy.py
280 B
Solution for
#NumpyArrayChallenge
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