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 doesnt 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 doesnt 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 doesnt 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 doesnt 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:

Web scraping

Automating Excel spreadsheets

Automating the keyboard and mouse

Automating the browser

Sending emails and texts

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: tryexcept

Lecture 2: tryexceptfinaly

Lecture 3: tryexceptelse

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

Luiz Fernando Estivalet
Instructor

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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!