Automate the Boring Stuff with Python Programming
What you’ll learn
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.
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.
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 scrapingParsing PDFs and Excel spreadsheetsAutomating the keyboard and mouseSending emails and textsAnd 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.
Section 1: Python Basics
Lecture 1 Get Python Installed
Lecture 2 Basic Terminology and Using IDLE
Lecture 3 Writing Our First Program
Section 2: Flow Control
Lecture 4 Flow Charts and Basic Flow Control Concepts
Lecture 5 If, Else, and Elif Statements
Lecture 6 While Loops
Lecture 7 For Loops
Section 3: Functions
Lecture 8 Python’s Built-In Functions
Lecture 9 Writing Your Own Functions
Lecture 10 Global and Local Scopes
Section 4: Handling Errors with try/except
Lecture 11 Try and Except Statements
Section 5: Writing a Complete Program: Guess the Number
Lecture 12 Writing a “Guess the Number” Program
Section 6: Lists
Lecture 13 The List Data Type
Lecture 14 For Loops with Lists, Multiple Assignment, and Augmented Operators
Lecture 15 List Methods
Lecture 16 Similarities Between Lists and Strings
Section 7: Dictionaries
Lecture 17 The Dictionary Data Type
Lecture 18 Data Structures
Section 8: More About Strings
Lecture 19 Advanced String Syntax
Lecture 20 String Methods
Lecture 21 String Formatting
Section 9: Running Programs from the Command Line
Lecture 22 Launching Python Programs from Outside IDLE
Section 10: Regular Expressions
Lecture 23 Regular Expression Basics
Lecture 24 Regex Groups and the Pipe Character
Lecture 25 Repetition in Regex Patterns and Greedy/Nongreedy Matching
Lecture 26 Regex Character Classes and the findall() Method
Lecture 27 Regex Dot-Star and the Caret/Dollar Characters
Lecture 28 Regex sub() Method and Verbose Mode
Lecture 29 Regex Example Program: A Phone and Email Scraper
Section 11: Files
Lecture 30 Filenames and Absolute/Relative File Paths
Lecture 31 Reading and Writing Plaintext Files
Lecture 32 Copying and Moving Files and Folders
Lecture 33 Deleting Files
Lecture 34 Walking a Directory Tree
Section 12: Debugging
Lecture 35 The raise and assert Statements
Lecture 36 Logging
Lecture 37 Using the Debugger
Section 13: Web Scraping
Lecture 38 The webbrowser Module
Lecture 39 Downloading from the Web with the Requests Module
Lecture 40 Parsing HTML with the Beautiful Soup Module
Lecture 41 Controlling the Browser with the Selenium Module
Section 14: Excel, Word, and PDF Documents
Lecture 42 Reading Excel Spreadsheets
Lecture 43 Editing Excel Spreadsheets
Lecture 44 Reading and Editing PDFs
Lecture 45 Reading and Editing Word Documents
Section 15: Email
Lecture 46 Sending Emails
Lecture 47 Checking Your Email Inbox
Section 16: GUI Automation
Lecture 48 Controlling the Mouse from Python
Lecture 49 Controlling the Keyboard from Python
Lecture 50 Screenshots and Image Recognition
Lecture 51 Congratulations! (And next steps…)
Office workers, students, small/home business workers, 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 Python software engineers can skip the first half of the course, but may find the later parts that cover various third-party modules helpful.,While this course doesn’t cover specific devops tools, this course would be useful for QA, devops, and admins who want to learn scripting in Python.
Udemy | English | 9h 31m | 10.57 GB
Created by: Al Sweigart