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Showing posts with the label File Formats

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Claude Code for Beginners: Step-by-Step AI Coding Tutorial

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 Artificial Intelligence is changing how developers write software. From generating code to fixing bugs and explaining complex logic, AI tools are becoming everyday companions for programmers. One such powerful tool is Claude Code , powered by Anthropic’s Claude AI model. If you’re a beginner or  an experienced developer looking to improve productivity, this guide will help you understand  what Claude Code is, how it works, and how to use it step-by-step . Let’s get started. What is Claude Code? Claude Code is an AI-powered coding assistant built on top of Anthropic’s Claude models. It helps developers by: Writing code from natural language prompts Explaining existing code Debugging errors Refactoring code for better readability Generating tests and documentation In simple words, you describe what you want in plain English, and Claude Code helps turn that into working code. It supports multiple programming languages, such as: Python JavaScri...
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Python: How to Work With Various File Formats

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Here is Python logic that shows Parse and Read Different Files in Python. The formats are XML, JSON, CSV, Excel, Text, PDF, Zip files, Images, SQLlite, and Yaml. Python Reading Files import pandas as pd import json import xml.etree.ElementTree as ET from PIL import Image import pytesseract import PyPDF2 from zipfile import ZipFile import sqlite3 import yaml Reading Text Files # Read text file (.txt) def read_text_file(file_path):     with open(file_path, 'r') as file:         text = file.read()     return text Reading CSV Files # Read CSV file (.csv) def read_csv_file(file_path):     df = pd.read_csv(file_path)     return df Reading JSON Files # Read JSON file (.json) def read_json_file(file_path):     with open(file_path, 'r') as file:         json_data = json.load(file)     return json_data Reading Excel Files # Read Excel file (.xlsx, .xls) def read_excel_file(file_path):    ...
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