Featured Post

Step-by-Step Guide to Reading Different Files in Python

Image
 In the world of data science, automation, and general programming, working with files is unavoidable. Whether you’re dealing with CSV reports, JSON APIs, Excel sheets, or text logs, Python provides rich and easy-to-use libraries for reading different file formats. In this guide, we’ll explore how to read different files in Python , with code examples and best practices. 1. Reading Text Files ( .txt ) Text files are the simplest form of files. Python’s built-in open() function handles them effortlessly. Example: # Open and read a text file with open ( "sample.txt" , "r" ) as file: content = file.read() print (content) Explanation: "r" mode means read . with open() automatically closes the file when done. Best Practice: Always use with to handle files to avoid memory leaks. 2. Reading CSV Files ( .csv ) CSV files are widely used for storing tabular data. Python has a built-in csv module and a powerful pandas library. Using cs...

Google Analytics Top Free Courses

With the "Google Analytics Training: Getting Started with Google Analytics" I would like to help you get started with Google Analytics and be able to get actionable insights from it. You will learn how to start tracking conversion rates and what data you need to analyze in order to improve them.

List of Courses

Courses on Google Analytics
This Google Analytics training course will help you master the basics and see what it takes to turbocharge your website performance.


References
Free Course Link

Comments

Popular posts from this blog

SQL Query: 3 Methods for Calculating Cumulative SUM

5 SQL Queries That Popularly Used in Data Analysis

Big Data: Top Cloud Computing Interview Questions (1 of 4)