CodeStips

Data Extraction

Python Data Analyst Role Overview

Career & Job Tips

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.

Python html.parser Module Basics

Python Standard Libraries

Explore Python's built-in html.parser module for lightweight, no-dependency HTML parsing without third-party tools like BeautifulSoup.

Reading Excel Files in Python

File Handling in Python

Learn to automate Excel data processing with Python, eliminating manual tasks and enabling scalable analysis for business and research.

Reading Logs and Parsing Them in Python

File Handling in Python

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.

Selecting Columns in pandas DataFrames

Data Analysis & Visualization

Learn essential pandas DataFrame column selection methods for data cleaning, analysis, and visualization, from basic to advanced techniques.

Selenium for Browser Automation

Libraries & Frameworks

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.

Serving CSS and JS in Flask

Flask Framework

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.

Using BeautifulSoup for Automation

Automation & Scripting

Learn how BeautifulSoup makes web scraping in Python easy and powerful for automating data extraction, form submissions, and monitoring website changes.

Working with TSV Files in Python

File Handling in Python

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.