Python From Zero To Automation
Date: 10 April 2024 | Posted by: AD-TEAM
Python From Zero To Automation
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English
| Size: 4.47 GB[/center]
| Duration: 11h 39m
A practical programming course for office workers, academics, and administrators who want to improve their productivity
What you'll 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
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
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. 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 scrapingAutomating Excel spreadsheetsAutomating the keyboard and mouseAutomating the browserSending emails and textsAnd several other practical topicsWe'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.
Overview
Section 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
Section 2: Python Fundamentals
Lecture 5 Syntax
Lecture 6 Variables
Lecture 7 Strings
Lecture 8 Numbers
Lecture 9 Booleans
Lecture 10 Constants
Lecture 11 Comments
Section 3: Operators
Lecture 12 Comparison operators
Lecture 13 Logical operators
Lecture 14 Precedence of Logical operators
Section 4: Control Flow
Lecture 15 if statement
Lecture 16 if-else statement
Lecture 17 if-elif-else statement
Lecture 18 Ternary Operator
Lecture 19 for loop
Lecture 20 while loop
Lecture 21 break statement
Lecture 22 continue statement
Lecture 23 pass statement
Section 5: Functions
Lecture 24 Introduction
Lecture 25 Default parameters
Lecture 26 Keyword arguments
Lecture 27 Recursive functions
Lecture 28 Lambda expressions
Section 6: Lists
Lecture 29 Introduction
Lecture 30 Tuples
Lecture 31 Sorting a list in place
Lecture 32 sorted() function
Lecture 33 Slice a list
Lecture 34 Unpacking a list
Lecture 35 Iterate over a list
Lecture 36 Find element in a list
Lecture 37 Iterator vs Iterable
Lecture 38 Transform a list using map()
Lecture 39 Filter list items
Lecture 40 Reduce list items to a single value
Lecture 41 List comprehension
Section 7: Strings
Lecture 42 Introduction
Lecture 43 Escape characters
Lecture 44 Raw strings
Lecture 45 Multiline strings
Lecture 46 Operators "in" and "not in"
Lecture 47 Convert and check string case
Lecture 48 The "isX()" string methods
Lecture 49 startswith() and endswith() methods
Lecture 50 Joining and splitting strings
Lecture 51 Justifying strings
Lecture 52 Removing spaces from strings
Section 8: Dictionaries
Lecture 53 Basic operations
Lecture 54 Dictionary comprehension
Section 9: Sets
Lecture 55 Introduction and basic set operations
Lecture 56 Set comprehension
Lecture 57 Union of sets
Lecture 58 Intersection of sets
Lecture 59 Difference of sets
Lecture 60 Symmetric difference of sets
Lecture 61 Subsets
Lecture 62 Supersets
Lecture 63 Disjoint sets
Section 10: Exception Handling
Lecture 64 try.except
Lecture 65 try.except.finaly
Lecture 66 try.except.else
Section 11: Regular Expressions
Lecture 67 Searching text without regular expressions
Lecture 68 Using regular expressions
Lecture 69 Groups
Lecture 70 Matching multiple patterns
Lecture 71 Optional Matching
Lecture 72 Matching Zero or More
Lecture 73 Matching One or More
Lecture 74 Matching Specific Repetitions
Lecture 75 Greedy and Non-greedy Matching
Lecture 76 Finding all occurences
Lecture 77 Character Classes
Lecture 78 Making Your Own Character Classes
Lecture 79 The caret (^) and dolar ($) characters
Lecture 80 The dot (.) character
Lecture 81 The dot-star (.*)
Lecture 82 Ignoring the case
Lecture 83 Regular Expressions symbols recap
Section 12: Modules
Lecture 84 Introduction
Lecture 85 Search path
Lecture 86 __name__ variable
Section 13: Working with files
Lecture 87 Introduction
Lecture 88 Reading text files
Lecture 89 Writting text files
Lecture 90 Checking if a file exits
Lecture 91 Reading a CSV file
Lecture 92 Writing a CSV file
Lecture 93 Renaming a file
Lecture 94 Deleting a file
Lecture 95 Working with directories
Section 14: Third-party packages, PIP and Virtual Environment
Lecture 96 The Python package index
Lecture 97 PIP
Lecture 98 Virtual environment
Section 15: Automating Spreadsheets
Lecture 99 Introduction to spreadsheets
Lecture 100 Reading spreadsheets
Lecture 101 Getting the max row and column
Lecture 102 Reading slices of data
Lecture 103 Iterating through rows and columns
Lecture 104 Creating spreadsheets
Lecture 105 Writing data to the cells
Lecture 106 Adding filter and sorting
Lecture 107 Formulas
Lecture 108 Charts
Section 16: GUI Automation
Lecture 109 Screen Resolution
Lecture 110 Moving the mouse
Lecture 111 Failsafe feature
Lecture 112 Getting mouse position
Lecture 113 Clicking the mouse
Lecture 114 Dragging the mouse
Lecture 115 Scrolling the mouse
Lecture 116 Typing text
Lecture 117 Key names
Lecture 118 Pressing Keys
Lecture 119 Using hotkeys
Lecture 120 Manipulating windows
Lecture 121 Sending messages to the user
Lecture 122 Sending emails automatically
Lecture 123 Filling forms automatically
Section 17: Browser Automation
Lecture 124 Installing Selenium
Lecture 125 Avoid seeing log messages using chromedriver
Lecture 126 Opening a page
Lecture 127 Find element by ID and NAME
Lecture 128 Find element by classname
Lecture 129 Find element by tagname
Lecture 130 Find element by link
Lecture 131 Find element by CSS selector
Lecture 132 Find element by XPATH
Lecture 133 XPATH with logical operators
Lecture 134 XPATH Functions
Lecture 135 XPATH index
Lecture 136 XPATH chained
Lecture 137 XPATH axes
Lecture 138 Finding multiple elements
Lecture 139 Waiting for elements
Lecture 140 Filling in forms
Section 18: Web Scraping
Lecture 141 Introduction
Lecture 142 Requesting a page to scrape
Lecture 143 Scrape basic page data
Lecture 144 Scrape book titles
Lecture 145 Improving scraping of book titles
Lecture 146 Scrape author, release date and book format
Lecture 147 Scrape book price
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
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