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

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 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...
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Top Teradata Course details that you need to learn

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Teradata is most popular database among data warehousing projects. You will learn Teradata from any institute you want. My post intention is you just take a look on course contents you need to learn.
course contents

Course Contents You Need to Look Before You Start

Introduction to Teradata

  • Data warehousing concepts and SCD’s
  • OLTP & OLAP
  • Teradata Architecture & Physical Design
  • Teradata Vs. Other RDBMS
  • BYNETPEs
  • AMPs
  • Vprocs
  • Clique
  • Cluster
  • Data Storage
  • Data Distribution
  • Data Access
  • Teradata Space Management

Fault Tolerance

  • Data Protection

Teradata Indexes and Performance Tuning and Optimization

  • UPI – Unique Primary Index
  • NUPI – Non Unique Primary Index
  • USI – Unique Secondary Index
  • NUSI – Non Unique Secondary Index
  • PPI – Partition Primary Index
  • MLPPI – Multilevel Partition Primary Index
  • STJI – Single Table Join Index
  • MTJI – Multi Table Join Index
  • AJI – Aggregate Join Index
  • Global Temporary Tables and Volatile Temporary Tables
  • Different Types of Tables in Teradata RDBMS
  • Performance Tuning
  • Explain Plan

Teradata Application Utilities

  • Real-time hands-on Query Man / SQL Assistance

Teradata Application Utilities

  • BTEQ
  • FastExport
  • FastLoad
  • MultiLoad
  • TPump
  • Teradata Parallel Transporter (TPT)
  • High Level Design of DWH Architecture from customer request to SDLC
Finally, the above list, trust me, it is complete list. I am sure if you do some project, it is good you will get job easily.

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