Automate the Boring Stuff with Python Programming
Automate the Boring Stuff with Python Programming |
Instructed by Al Sweigart | Development / Programming Languages
"Automate the Boring Stuff with Python Programming" Description
If you're an office worker, student, administrator, or just want to become more productive with your computer, programming will allow you write code that can automate tedious tasks. This course follows the popular (and free!) book, Automate the Boring Stuff with Python.Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don't need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done.
This course is for complete beginners and covers the popular Python programming language. You'll learn basic concepts as well as:
- Web scraping
- Parsing PDFs and Excel spreadsheets
- Automating the keyboard and mouse
- Sending emails and texts
- And several other practical topics
What are the requirements?
- No programming experience is required.
- Downloading and installing Python is covered at the start of the course.
- Basic computer skills: surfing websites, running programs, saving and opening documents, etc.
- Automate tasks on their computer by writing simple Python programs.
- Write programs that can do text pattern recognition with "regular expressions".
- Programmatically generate and update Excel spreadsheets.
- Parse PDFs and Word documents.
- Crawl web sites and pull information from online sources.
- Write programs that send out email notifications.
- Use Python's debugging tools to quickly figure out bugs in your code.
- Programmatically control the mouse and keyboard to click and type for you.
- Office workers, students, and administrators would want to improve their productivity.
- Aspiring software engineers who want to add skills to their programming toolbelt.
- Computer users who have heard the "learn to code" message, but want practical reasons to learn programming.
- Experienced software engineers who are already familiar with Python and the modules the course covers can skip this course.
- While this course is good for QA and IT admins, this is not a course for DevOps looking for specific automation tools.
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