Kim Hans  Jin

Kim Hans Jin


4 Libraries that can perform EDA in one line of Python code

Exploratory data analysis (EDA) is an approach to analyze the data and find patterns, visual insights, etc. that the data set is having, before proceeding to model. One spends a lot of time doing EDA to get a better understanding of data, that can be minimized by using auto visualizations tools such as Pandas-profiling, Sweetviz, Autoviz, or D-Tale

EDA involves a lot of steps including some statistical tests, visualization of data using different kinds of plots, and many more. Some of the steps of EDA are discussed below:

  • Data Quality Check: Can be done using pandas library functions like describe()info()dtypes(), etc. It is used to find several features, its datatypes, duplicate values, missing value, etc.
  • Statistical Test: Some statistical tests like Pearson correlation, Spearman correlation, Kendall test, etc are done to get a correlation between the features. It can be implemented in python using the _stats _library.
  • Quantitative Test: Some quantitative test is used to find the spread of numerical features, count of categorical features. It can be implemented in python using the functions of the pandas library.
  • Visualization: Feature visualization is very essential to get an understanding of the data. Graphical techniques like bar plots, pie charts are used to get an understanding of categorical features, whereas scatter plots, histograms are used for numerical features.

To perform the above-mentioned tasks we need to type several lines of code. Here auto-visualization library comes into the play, which can perform all these tasks using just 1 line of code. Some of these auto-visualization tools we will discuss in this article:

  • Pandas-Profiling
  • Sweetviz
  • Autoviz
  • D-Tale

#data-science #data-analytics #artificial-intelligence #machine-learning #python

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4 Libraries that can perform EDA in one line of Python code
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

August  Larson

August Larson


4 Cool Python Libraries That You Should Know About

Discover useful Python libraries that you should try out in your next project

Some of my most popular blogs are about Python libraries. I believe that they are so popular because Python libraries have the power to save us a lot of time and headaches. The problem is that most people focus on those most popular libraries but forget that multiple less-known Python libraries are just as good as their most famous cousins.

Finding new Python libraries can also be problematic. Sometimes we read about these great libraries, and when we try them, they don’t work as we expected. If this has ever happened to you, fear no more. I got your back!

In this blog, I will show you four Python libraries and why you should try them. Let’s get started.

#python #coding #programming #cool python libraries #python libraries #4 cool python libraries

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

August  Larson

August Larson


4 Great Python Libraries You Wish You Came Across Earlier

Obscure Python Libraries

I picked 4 Python libraries that you probably haven’t heard of that I find useful. I’ll show you how to use them and then we’ll make a fun little program with them.

Great Scott Marty! Introducing Delorean

You mean Delorean is more than a time-traveling car? Yes, random Internet Stranger, it is. Datetime objects in Python can be a little difficult to work with. Delorean is a library that makes dealing with Datetime objects easier.

According to the documentation , Delorean is a library for clearing up the inconvenient truths that arise dealing with datetimes in Python. Understanding that timing is delicate enough of a problem Delorean hopes to provide a cleaner less troublesome solution to shifting, manipulating, generating datetimes.

Fire Up The Flux Capacitor

#python #programming #tutorial #python-tutorials #libraries #python-libraries #coding #programming-languages

Ray  Patel

Ray Patel


Top 20 Most Useful Python Modules or Packages

 March 25, 2021  Deepak@321  0 Comments

Welcome to my blog, In this article, we will learn the top 20 most useful python modules or packages and these modules every Python developer should know.

Hello everybody and welcome back so in this article I’m going to be sharing with you 20 Python modules you need to know. Now I’ve split these python modules into four different categories to make little bit easier for us and the categories are:

  1. Web Development
  2. Data Science
  3. Machine Learning
  4. AI and graphical user interfaces.

Near the end of the article, I also share my personal favorite Python module so make sure you stay tuned to see what that is also make sure to share with me in the comments down below your favorite Python module.

#python #packages or libraries #python 20 modules #python 20 most usefull modules #python intersting modules #top 20 python libraries #top 20 python modules #top 20 python packages