Posts

Showing posts with the label teradata

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...

Teradata: Key Role in Telecommunication Analytics

Teradata, a US analytics solutions and applications provider, has said that there is a growing market for next-generation analytics in India amid intense competition among telcos and growing mobile phone penetration. Insights Carriers with increasing consumer focus require next-generation analytics to unify data from both the traditional and Big Data environments and transform it into meaningful insights - on how subscribers are consuming their services and in turn how they can improve their marketing tactics for upselling, customer retention, and loyalty. And ever since mobile number portability ( MNP) - a facility that allows subscribers to retain their numbers despite switching operators - was introduced late 2010 in India, customer retention has become a key imperative for service operators such as Vodafone India, Idea Cellular, and Bharti Airtel. Telecom Analytics "With rising teledensity, ensuing competition, and falling average revenue-per-user, telcos will have to look b...