Using Python for Automation
1h 16mAdvanced2024-05-07
Authors

Madecraft
Full-Service Learning Content Company
Course details
If you've ever been faced with repetitive and tedious tasks such as renaming hundreds of files or updating dizzying amounts of spreadsheet cells, then you know what a time-saving boon automation can be. From mastering file handling to conquering web scraping with Beautiful Soup and Selenium, discover the ultimate game-changer in productivity: automation in Python. Learn the art of parsing, error handling, and weaving through command lines. Unlock the power of APIs, seamlessly connecting software pieces for robust solutions. This course isn't just about coding, it's about crafting digital artistry with Python. Ready for the journey? Join instructor Lavanya Vijayan and learn how to automate the future, one line of code at a time.
Skills covered
PythonProgramming LanguagesOpen SourceSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Automate everything with Python
- 02 - Check out the course prerequisites
- 03 - Set up your coding environment and tools
1. Automating Data Manipulation and Validation
- 04 - Read files with Python
- 05 - Write files with Python
- 06 - Use Python's command-line interface
- 07 - Organize directories with Python
- 08 - Parse data with Python
- 09 - Extract data with regular expressions
- 10 - Validate inputs with automation
- 11 - Prepare for error handling
- 12 - Automate error handling
2. Web Scraping with Automation
- 13 - Use BeautifulSoup for automating web scraping
- 14 - Explore HTML structure
- 15 - Inspect your data source
- 16 - Request and parse HTML code
- 17 - Extract data from HTML code
- 18 - Prepare for scraping multiple pages
- 19 - Scrape multiple pages
3. Web Browsing with Automation
- 20 - Use Selenium for automating web browsing
- 21 - Automate basic browser interactions
- 22 - Automate drag and drop functionality
- 23 - Explore waiting strategies with Selenium
- 24 - Implement explicit wait with Selenium
4. Leveraging APIs for Automation
- 25 - Identify the value of APIs for automation
- 26 - Make API requests in Python
- 27 - Parse API responses in Python with JSON
- 28 - Use API keys in Python
- 29 - Connect information between APIs
Conclusion
- 30 - Unlock resources and next steps