1600297200

Python’s popularity is growing the quickest among programming languages. This means more and more employers are looking for developers, data scientists and analysts that know how to program Python and take advantage of its many open source libraries. If you just started learning Python or are aiming to start anytime soon, then you most probably benefit from checking out the three tips listed in this article. They will speed up your learning process and will help you become a savvy Python developer.

#python #python-programming #coding-rookie-tips #python-pandas #pandas #beginners-guide #beginners #how-to-improve-your-code

1600297200

Python’s popularity is growing the quickest among programming languages. This means more and more employers are looking for developers, data scientists and analysts that know how to program Python and take advantage of its many open source libraries. If you just started learning Python or are aiming to start anytime soon, then you most probably benefit from checking out the three tips listed in this article. They will speed up your learning process and will help you become a savvy Python developer.

#python #python-programming #coding-rookie-tips #python-pandas #pandas #beginners-guide #beginners #how-to-improve-your-code

1620418260

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

1619607900

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

1586702221

In this post, we will learn about pandas’ data structures/objects. Pandas provide two type of data structures:-

Pandas Series is a one dimensional indexed data, which can hold datatypes like integer, string, boolean, float, python object etc. A Pandas Series can hold only one data type at a time. The axis label of the data is called the index of the series. The labels need not to be unique but must be a hashable type. The index of the series can be integer, string and even time-series data. In general, Pandas Series is nothing but a column of an excel sheet with row index being the index of the series.

Pandas dataframe is a primary data structure of pandas. Pandas dataframe is a two-dimensional size mutable array with both flexible row indices and flexible column names. In general, it is just like an excel sheet or SQL table. It can also be seen as a python’s dict-like container for series objects.

#python #python-pandas #pandas-dataframe #pandas-series #pandas-tutorial

1592549586

pandas.read_csv import pandas as pd UnicodeDecodeError: ‘utf-8’ codec can’t de

#pandas.read_csv #pandas #pandas.read #programming