Posts

Showing posts with the label mobile apps

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...

Top Tips You Need to Create Mobile Apps

Image
Before you start creating mobile applications, you need to understand two things. There are two mobile application types. Namely Native and Web applications. Mobile applications are two types.Those are Native and Web applications.   Photo Credit: Srini Native applications Each mobile operating system you need to create one version. Native applications are platform dependent. The disadvantage is you need to create multiple versions. Develop apps only on that platform These apps not portable Web applications The web applications are platform independent. They work for all mobile operating systems. These applications are browsable using any popular browsers. These apps are browsable from any popular web browsers 4 Top Mobile Platforms iOS  Android  Windows Phone 7  Blackberry OS  4 Top Tablet Platforms iOS  Android  Blackberry OS  Windows 8 Related Learn Android app quickly and your own time