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How to Read a CSV File from Amazon S3 Using Python (With Headers and Rows Displayed)

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  Introduction If you’re working with cloud data, especially on AWS, chances are you’ll encounter data stored in CSV files inside an Amazon S3 bucket . Whether you're building a data pipeline or a quick analysis tool, reading data directly from S3 in Python is a fast, reliable, and scalable way to get started. In this blog post, we’ll walk through: Setting up access to S3 Reading a CSV file using Python and Boto3 Displaying headers and rows Tips to handle larger datasets Let’s jump in! What You’ll Need An AWS account An S3 bucket with a CSV file uploaded AWS credentials (access key and secret key) Python 3.x installed boto3 and pandas libraries installed (you can install them via pip) pip install boto3 pandas Step-by-Step: Read CSV from S3 Let’s say your S3 bucket is named my-data-bucket , and your CSV file is sample-data/employees.csv . ✅ Step 1: Import Required Libraries import boto3 import pandas as pd from io import StringIO boto3 is...

5 Top Digital Skills You need in Future

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Before you perform work in a new-age digital job, focus on the real skills you need to learn. 1. Automate Repeated Tasks Take the best example of saving all the emails from google account. That is after sending an email that should save in an Excel document. This is one kind of Skill. So learning technologies to create Tools for this kind of automation provide you a lot of job opportunities. 2. Automate Stop Function For example, work and home both are different. After certain hours the access to the Company network should be stopped. So that you can focus on your Home duties. Here you should have tools to do this kind of activity. 3. Data visualization How to present data in a user-friendly way is the topmost digital skill. Nowadays there are many tools present. The Best example is Tableau. You can present the data in a user-friendly way. 4. Working Ability in Cloud Environment For example, the olden days' servers are complex to migrate and move from one area to ...

The 5 Skills You need to Start Data Analytics Career

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Data analytics is the job role hot in demand in each organization. Digital skills such as Mobile development, Full-stack development, Data Science, and Cloud computing are successful because they are very user-friendly to the end-users. Digital devices enabled digital technologies to cause to generate more data. You need different kinds of tools to analyze data in different formats. You need the right tools. Else you cannot predict the user's mind. User search data is the source of big retail markets. Based on these search words, they start selling the products. The motto behind data analytics is to get the benefit all stakeholders. Let us take cloud computing the main advantage is cost-effectiveness and scalability. 5 Skills you need for data analyst job R Programming SAS Excel Tableau QlikView Top Magazines to read Analytics Insight Analytics Magazine Analytics India Magazine Related Posts R Vs SAS Top Differences 6 Top IT Skills that have Huge Demand in ...

Java in Digital Applications Real Usage

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Recently I found, some of my friends refreshing Java language skills. I asked them why. They told me many digital applications need proficiency in Java skill. Java is the top skill, and popular in customization of all the tools involved in digital applications.  From the above conversation, I can say that at least core Java everyone should be proficient. In addition to that, Java once upon a time popular as web development language. Since Java is being used in all modern applications.  Of course, there are many other popular languages. Those are Python and Scala.   Top List of  Java Applications Robotic process automation - Daily activities in any offices can be automated with Robotic process automation. Java is the language in this scenario to write backend scripts. Artificial Intelligence -Each AI application involves some sort of programming logic. Where it validates user input and sends back output. The backend logic often is written in Java. Full...