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A Python Data Analyst uncovers insights from data using Python, turning numbers into compelling stories. Essential skills include analysis, visualization, and tools like pandas and SQL.
Explore Python's built-in html.parser module for lightweight, no-dependency HTML parsing without third-party tools like BeautifulSoup.
Learn to automate Excel data processing with Python, eliminating manual tasks and enabling scalable analysis for business and research.
Python helps parse and analyze log files for debugging, performance monitoring, and user behavior insights, using built-in tools and libraries to extract valuable data efficiently.
Learn essential pandas DataFrame column selection methods for data cleaning, analysis, and visualization, from basic to advanced techniques.
Selenium automates web browsers for testing or scraping, simulating user actions like clicking and form filling. Set it up in Python to control browsers programmatically.
Learn how to enhance your Flask app's appearance by adding CSS and JavaScript through the static directory. This guide covers setup, linking files, and best practices for a responsive, styled application.
Learn how BeautifulSoup makes web scraping in Python easy and powerful for automating data extraction, form submissions, and monitoring website changes.
Learn to read and write TSV files in Python, a useful skill for handling tabular data with commas, processing logs, and moving data between applications.