Python From Zero to Automation
Python From Zero to Automation, available at $59.99, has an average rating of 4.75, with 147 lectures, based on 2 reviews, and has 18 subscribers.
You will learn about Automate tasks on their computer by writing simple Python programs Programmatically generate and update Excel spreadsheets Scrape web sites and pull information from them Write programs that can do text pattern recognition with "regular expressions" Write programs that send out email notifications Programmatically control the mouse and keyboard to click and type for you Browser Automation using selenium framework This course is ideal for individuals who are Office workers, students, small/home business workers, and administrators would want to improve their productivity or Aspiring software engineers who want to add skills to their programming toolbelt or Computer users who have heard the "learn to code" message, but want practical reasons to learn programming or 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 or 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 It is particularly useful for Office workers, students, small/home business workers, and administrators would want to improve their productivity or Aspiring software engineers who want to add skills to their programming toolbelt or Computer users who have heard the "learn to code" message, but want practical reasons to learn programming or 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 or 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.
Enroll now: Python From Zero to Automation
Summary
Title: Python From Zero to Automation
Price: $59.99
Average Rating: 4.75
Number of Lectures: 147
Number of Published Lectures: 147
Number of Curriculum Items: 147
Number of Published Curriculum Objects: 147
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Automate tasks on their computer by writing simple Python programs
- Programmatically generate and update Excel spreadsheets
- Scrape web sites and pull information from them
- Write programs that can do text pattern recognition with "regular expressions"
- Write programs that send out email notifications
- Programmatically control the mouse and keyboard to click and type for you
- Browser Automation using selenium framework
Who Should Attend
- 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
Target Audiences
- 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
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.
Python From Zero to Automation 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.
The course is designed to take you from a complete beginner in Python to being able to automate tasks using this language. You will start with a short introduction to the basics of the Python programming language, including data types, control structures, functions, and file handling. From there, you will learn more advanced concepts such as regular expressions, web scraping, and desktop and browser automation.
This course is for complete beginners and covers the popular Python programming language. You’ll learn basic concepts as well as:
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Web scraping
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Automating Excel spreadsheets
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Automating the keyboard and mouse
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Automating the browser
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Sending emails and texts
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And several other practical topics
We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a Python developer.
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 add this new skill on your resume.
Course Curriculum
Chapter 1: Introduction
Lecture 1: IMPORTANT. Please read!
Lecture 2: Installing Python on Windows
Lecture 3: Installing Python on Linux and macOS
Lecture 4: Installing Visual Studio Code on Windows
Chapter 2: Python Fundamentals
Lecture 1: Syntax
Lecture 2: Variables
Lecture 3: Strings
Lecture 4: Numbers
Lecture 5: Booleans
Lecture 6: Constants
Lecture 7: Comments
Chapter 3: Operators
Lecture 1: Comparison operators
Lecture 2: Logical operators
Lecture 3: Precedence of Logical operators
Chapter 4: Control Flow
Lecture 1: if statement
Lecture 2: if-else statement
Lecture 3: if-elif-else statement
Lecture 4: Ternary Operator
Lecture 5: for loop
Lecture 6: while loop
Lecture 7: break statement
Lecture 8: continue statement
Lecture 9: pass statement
Chapter 5: Functions
Lecture 1: Introduction
Lecture 2: Default parameters
Lecture 3: Keyword arguments
Lecture 4: Recursive functions
Lecture 5: Lambda expressions
Chapter 6: Lists
Lecture 1: Introduction
Lecture 2: Tuples
Lecture 3: Sorting a list in place
Lecture 4: sorted() function
Lecture 5: Slice a list
Lecture 6: Unpacking a list
Lecture 7: Iterate over a list
Lecture 8: Find element in a list
Lecture 9: Iterator vs Iterable
Lecture 10: Transform a list using map()
Lecture 11: Filter list items
Lecture 12: Reduce list items to a single value
Lecture 13: List comprehension
Chapter 7: Strings
Lecture 1: Introduction
Lecture 2: Escape characters
Lecture 3: Raw strings
Lecture 4: Multiline strings
Lecture 5: Operators "in" and "not in"
Lecture 6: Convert and check string case
Lecture 7: The "isX()" string methods
Lecture 8: startswith() and endswith() methods
Lecture 9: Joining and splitting strings
Lecture 10: Justifying strings
Lecture 11: Removing spaces from strings
Chapter 8: Dictionaries
Lecture 1: Basic operations
Lecture 2: Dictionary comprehension
Chapter 9: Sets
Lecture 1: Introduction and basic set operations
Lecture 2: Set comprehension
Lecture 3: Union of sets
Lecture 4: Intersection of sets
Lecture 5: Difference of sets
Lecture 6: Symmetric difference of sets
Lecture 7: Subsets
Lecture 8: Supersets
Lecture 9: Disjoint sets
Chapter 10: Exception Handling
Lecture 1: try…except
Lecture 2: try…except…finaly
Lecture 3: try…except…else
Chapter 11: Regular Expressions
Lecture 1: Searching text without regular expressions
Lecture 2: Using regular expressions
Lecture 3: Groups
Lecture 4: Matching multiple patterns
Lecture 5: Optional Matching
Lecture 6: Matching Zero or More
Lecture 7: Matching One or More
Lecture 8: Matching Specific Repetitions
Lecture 9: Greedy and Non-greedy Matching
Lecture 10: Finding all occurences
Lecture 11: Character Classes
Lecture 12: Making Your Own Character Classes
Lecture 13: The caret (^) and dolar ($) characters
Lecture 14: The dot (.) character
Lecture 15: The dot-star (.*)
Lecture 16: Ignoring the case
Lecture 17: Regular Expressions symbols recap
Chapter 12: Modules
Lecture 1: Introduction
Lecture 2: Search path
Lecture 3: __name__ variable
Chapter 13: Working with files
Lecture 1: Introduction
Instructors
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Luiz Fernando Estivalet
Instructor
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 1 votes
- 5 stars: 1 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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