A practical programming course for office workers, academics, and administrators who want to improve their productivity.
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:
Parsing PDFs and Excel spreadsheets
Automating the keyboard and mouse
Sending emails and texts
And several other practical topics
By the end of this course, you'll be able to write code that not only dramatically increases your productivity, but also be able to list this fun and creative skill on your resume.
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.
What am I going to get from this course?
Over 51 lectures and 9.5 hours of content!
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.
What is the target audience?
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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