Isaac Bailey

1617958048

Google Colab Tutorial - Fuzzy Match Lookup with Google Sheets Data Using Python Fuzzy Pandas

In this Google Colab tutorial we’ll use Fuzzy Pandas python library to perform fuzzy match lookup with Google Sheets data.

Subscribe: https://www.youtube.com/channel/UC8p19gUXJYTsUPEpusHgteQ

#google-colab #google-sheets

What is GEEK

Buddha Community

Google Colab Tutorial - Fuzzy Match Lookup with Google Sheets Data Using Python Fuzzy Pandas
Ray  Patel

Ray Patel

1619518440

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

Isaac Bailey

1617958048

Google Colab Tutorial - Fuzzy Match Lookup with Google Sheets Data Using Python Fuzzy Pandas

In this Google Colab tutorial we’ll use Fuzzy Pandas python library to perform fuzzy match lookup with Google Sheets data.

Subscribe: https://www.youtube.com/channel/UC8p19gUXJYTsUPEpusHgteQ

#google-colab #google-sheets

PANDAS: Most Used Functions in Data Science

Most useful functions for data preprocessing

When you get introduced to machine learning, the first step is to learn Python and the basic step of learning Python is to learn pandas library. We can install pandas library by pip install pandas. After installing we have to import pandas each time of the running session. The data used for example is from the UCI repository “https://archive.ics.uci.edu/ml/datasets/Heart+failure+clinical+records

  1. Read Data

2. Head and Tail

3. Shape, Size and Info

4. isna

#pandas: most used functions in data science #pandas #data science #function #used python data #most used functions in data science

Read Data From Google Sheets into Pandas without The Google Sheets API

Google Sheets is a common alternative to Microsoft Excel and is especially useful if you wish to work collaboratively on your spreadsheet or share your data. I want to quickly share two ways of reading Google Sheets data into a pandas DataFrame through the .read_csv()  method without having to safe the sheet locally first or having to use the GoogleAPI.

#data #google-sheets #python #data-science #pandas

Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition