Edna  Bernhard

Edna Bernhard

1596353640

Day 15 — Missing Number

Introduction

Hey Guys, Today is the **start of the Third Week **of the challenge that I took. Before I start this post, I really want to thank all of you guys for your support. I am grateful for the following. There is still a long way to go. But let’s go forward with our 15th Day.

You have a bonus at the end if you keep reading. You can find out the companies that have asked these questions in real interviews.

All these problems are taken from the following e-book. 🎓

This is completely free 🆓 if you have an amazon kindle subscription.

This e-book contains 100 coding problems that have been asked in top tech interview questions. It also has a guide to solving all the problems in 200+ ways. These problems I assure you has been asked in previous interviews.

You have to decide whether you want to go** unprepared **for a tech interview or go ahead and **quick search for this guide **to solve the 100 problems.

#software-development #coding #programming #interview #java

What is GEEK

Buddha Community

Day 15 — Missing Number

Perfect Number Program In Python: How to check if a number is perfect or not?

Introduction

A number is said to be the perfect number if the sum of its proper divisors (not including the number itself) is equal to the number.

To get a better idea let’s consider an example, proper divisors of 6 are 1, 2, 3. Now the sum of these divisors is equal to 6 (1+2+3=6), so 6 is said to be a perfect number. Whereas if we consider another number like 12, proper divisors of 12 are 1, 2, 3, 4, 6. Now the sum of these divisors is not equal to 12, so 12 is not a perfect number.

Programming in Python is relatively simpler and more fun when compared to other languages because of its simpler syntax, good readability. Now that we are clear with the concept of perfect number let’s write a python program to check if a number is a perfect number or not. Let’s build a python code for checking if the given user input is a perfect number or not and explore the fun in coding with python.

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Ray  Patel

Ray Patel

1619607900

Perfect Number Program In Python: How to check if a number is perfect or not?

Introduction

A number is said to be the perfect number if the sum of its proper divisors (not including the number itself) is equal to the number.

To get a better idea let’s consider an example, proper divisors of 6 are 1, 2, 3. Now the sum of these divisors is equal to 6 (1+2+3=6), so 6 is said to be a perfect number. Whereas if we consider another number like 12, proper divisors of 12 are 1, 2, 3, 4, 6. Now the sum of these divisors is not equal to 12, so 12 is not a perfect number.

Programming in Python is relatively simpler and more fun when compared to other languages because of its simpler syntax, good readability. Now that we are clear with the concept of perfect number let’s write a python program to check if a number is a perfect number or not. Let’s build a python code for checking if the given user input is a perfect number or not and explore the fun in coding with python.

#data science #how to check if a number is perfect #perfect number #perfect number in python #perfect number program in python #python

August  Larson

August Larson

1624421400

How to Speed Up Your Day-To-Day Work in Python

Use all the computing power available to you

In my day-to-day data work, I routinely find myself running a lot of for loops. These can take minutes to complete, which isn’t necessarily a long time, but looping is embarrassingly parallelizable. We can do better.

In this article, I will discuss how to make more efficient use of your time when working in Python. Whether you work on a laptop or a high-performance computer (HPC), you can speed up your workflow by taking full advantage of all the computing power available to you. This can be achieved with the Dask and Dask-jobqueue libraries. This post will discuss how to create and use a dask cluster on your local computer and an HPC.

Dask is a Python library for parallel computing and dask-jobqueue lets you interact with job schedulers, such as Slurm, from a Jupyter Notebook. Dask makes simple things are easier and complex things are possible and itsnumpy and pandas-like API makes writing code familiar to Pythonic data practitioners.

Table of contents

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robiul hasan

robiul hasan

1626095071

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