Automate Everything with Python

Automate Everything with Python, available at $94.99, has an average rating of 4.56, with 200 lectures, based on 2114 reviews, and has 37035 subscribers.

You will learn about Learn to use Python to automate web scraping, video processing, chatbots, and hundreds of more tasks Build a vast GitHub portfolio of your own programs, which you will build during the course Validate and improve your skills with independent Python exercises Be ready to apply for Python jobs after finishing the course Learn the latest Python high-tech tools and packages Learn Python programming tricks as you build real-world programs Get support from the instructor and the student community forum This course is ideal for individuals who are Python beginners and intermediates It is particularly useful for Python beginners and intermediates.

Enroll now: Automate Everything with Python

Summary

Title: Automate Everything with Python

Price: $94.99

Average Rating: 4.56

Number of Lectures: 200

Number of Published Lectures: 185

Number of Curriculum Items: 200

Number of Published Curriculum Objects: 185

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Learn to use Python to automate web scraping, video processing, chatbots, and hundreds of more tasks
Build a vast GitHub portfolio of your own programs, which you will build during the course
Validate and improve your skills with independent Python exercises
Be ready to apply for Python jobs after finishing the course
Learn the latest Python high-tech tools and packages
Learn Python programming tricks as you build real-world programs
Get support from the instructor and the student community forum

Who Should Attend

Python beginners and intermediates

Target Audiences

Python beginners and intermediates

What is this course about?
In a fast-growing world, Python programming is becoming a must-have skill. Whether you want to automate email sending, rename 10 thousand files at once, schedule SMS, auto-start the webcam, create APIs, auto-login to websites, scrape values, and many, other cool programs, this course has it all. In the process of learning to do all those cool programs, you will master Python and will create programs with ease.

What will students learn to automate?
One of Python’s strongest points is to make our jobs easier and more fun by automating tasks in any area. You will learn to send emails with attachments to hundreds of CSV contacts, automate SMS messages, filter photos from your albums, detect faces in photos and videos, spin up and deploy quick web apps, extract data from websites and PDF files, convert between different file formats, clean text using natural language processing, and many many more. At the end of the course, you will be equipped with a strong set of skills and a good GitHub portfolio.

Who is this course for?
This course is literally for anyone, from data scientists to students to doctors to musicians to new prospective programmers. With Python, you can do things from web scraping to generating music. There is always something that can be done with Python.

Do I need prior Python knowledge?
Yes. You need to know Python basics that are variables, data types, functions, conditionals, and loops. This course does not cover those because you can find such content easily on YouTube.

Can we use the apps to build our own GitHub portfolio?
Yes. You can publish the apps in your own GitHub account. However, it is recommended that you first change something from the code or even better, improve the code to make the apps really unique and yours. That will help your learning.

Do I have to follow the course in the given order?
No, you can pick the topics you like and only watch the videos and do the practice activities only for those topics.

What if I get stuck?
You will get stuck at some point. Every programmer does. When that happens, we’ve got your back. You can drop a question in the Q&A, and the instructor or the teaching assistant will answer your questions within the same day. You can also use the chat in the course Discord server to ask questions and chat with fellow students about Python.

What if I don’t like the course?
That will likely not happen. But, if it does, you are covered by the Udemy 30-day money-back guarantee, so you can quickly return the course. No questions asked.

Does this course cover Python 2 or Python 3?
Python 3.

What IDE/editor is used in the course?
We use the Repl IDE which is becoming a gold standard nowadays due to the share and collaborate features the IDE offers which are especially useful when you are still learning However, you are free to use your favorite IDE.

Do I need Windows, Mac, or Linux to take the course?
The operating system does not matter. You can even use a mobile device since the IDE we are using works in the browser.

Does the course expire?
No. Once you buy the course, it is yours. You will get all future updates for free as well.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Introduction

Lecture 2: The IDE

Lecture 3: Daily Python Projects

Lecture 4: Using the IDE

Chapter 2: Browser Automation and Web Scraping

Lecture 1: Preparations

Lecture 2: Scraping Simple Text with Selenium

Lecture 3: Scraping from Your Local IDE

Lecture 4: Scraping Dynamic Value

Lecture 5: Automate Login Process

Lecture 6: (Exercise) Log in, Click, and Scrape

Lecture 7: (Solution) Log in, Click, and Scrape

Lecture 8: (Exercise) Log in, Click, Scrape, and Save in Text File

Lecture 9: Tip: Deleting All Text Files

Lecture 10: (Solution) Login, Click, Scrape and Save in Text File

Lecture 11: (Exercise) Accessing an Online Retailer

Lecture 12: (Solution) Accessing an Online Retailer

Lecture 13: Download Stock Data for Any Company for Any Date

Lecture 14: Scrape Real-Time Currency Rate with Beautiful Soup

Chapter 3: Accessing APIs | Building APIs

Lecture 1: Getting the API Key

Lecture 2: REST APIs and Python

Lecture 3: Getting News from the Open News API

Lecture 4: News API: Getting Top Headlines for Any Country

Lecture 5: Exercise: Weather Forecast API

Lecture 6: Solution: Weather Forecast API

Lecture 7: Create Your Own Currency Rate REST API

Lecture 8: Official Facebook Graph API

Lecture 9: Grammar Correction API

Chapter 4: Working with Computer Files and Folders

Lecture 1: Intro to Python Pathlib Library

Lecture 2: Add Prefix to All Filenames in Folder

Lecture 3: Rename All Files Based on Folder

Lecture 4: Daily Python Projects

Lecture 5: (Exercise) Rename All Files Based on Sub-Sub-Folders

Lecture 6: (Solution) Rename All Files Based on Sub-Sub-Folders

Lecture 7: (Exercise) Add Created Date to All Filenames in Folder

Lecture 8: (Solution) Add Created Date to All Filenames in Folder

Lecture 9: (Exercise) Change File Extensions

Lecture 10: (Solution) Change File Extensions

Lecture 11: Create Empty Files

Lecture 12: Create Archive from Files

Lecture 13: Extract All ZIP Files

Lecture 14: (Exercsie) Search File in Computer

Lecture 15: (Solution) Search File in Computer

Lecture 16: Destroy files forever

Chapter 5: Automating Emails

Lecture 1: Sending a Single Email with Python

Lecture 2: (Exercise) Sending an Email Periodically

Lecture 3: (Solution) Sending an Email Periodically

Lecture 4: Sending an Email Every Day at a Certain Time

Lecture 5: Scheduling the Script for Execution on PythonAnywhere

Lecture 6: Sending Emails to a CSV List of Contacts

Lecture 7: Sending Emails with Attachments

Lecture 8: (Exercise) Send Email with Attachment to CSV List

Lecture 9: Solution

Lecture 10: Send an Email with Modified Attachment

Lecture 11: Send Plain Text Email from Outlook or Hotmail Address

Lecture 12: Send a Rich HTML Email from Outlook or Hotmail

Lecture 13: Send Rich HTML Email with Attachment from Outlook or Hotmail

Chapter 6: Project: Stock Price Notifier

Lecture 1: Project Requirements

Lecture 2: Project Solutions

Chapter 7: Generating PDFs | Extracting Data from PDFs

Lecture 1: Creating a PDF Document with Python

Lecture 2: Generating a PDF from Excel Spreadsheets

Lecture 3: Extracting Text from PDF

Lecture 4: Extracting Tables from PDF

Lecture 5: Exercise: Extract Table from PDF to Excel

Lecture 6: Solution

Chapter 8: Modern Python Tools

Lecture 1: Introduction

Lecture 2: Create and Publish a Website with Python in 2 Minutes

Lecture 3: Using Deepnote

Lecture 4: Notion Integration with Deepnote

Lecture 5: Create and Publish Web Apps and Data Dashboards with Streamlit

Lecture 6: Schedule Python Tasks on PythonAnywhere

Chapter 9: Web Apps and Desktop GUI Apps

Lecture 1: Create and Publish a Flask Web App

Lecture 2: Sentence Builder GUI App with PyQt6 (Intro to PyQt6)

Lecture 3: Live Currency Converter GUI App with PyQt6

Lecture 4: Advanced App with Dropdown Lists

Lecture 5: Advanced GUI Layout

Lecture 6: File Destroyer GUI App with PyQt6

Chapter 10: Project: English Dictionary Desktop GUI App

Lecture 1: Project Requirements

Lecture 2: Project Solution

Chapter 11: Working with Google Sheets

Lecture 1: Opening a Public Google Spreadsheet with Python

Lecture 2: Opening a Private Google Spreadsheet with Python

Lecture 3: Get Rows and Columns

Lecture 4: Get a Cell

Lecture 5: Update a Cell

Lecture 6: Update and Add a Column

Lecture 7: Calculate Column Mean (Exercise)

Lecture 8: Calculate Column Mean (Solution)

Lecture 9: Listening to Cell Change

Chapter 12: Image Processing

Lecture 1: Convert Image to Grayscale

Instructors

Ardit Sulce
Python Programmer. Founder and Author, PythonHow.

Rating Distribution

1 stars: 25 votes
2 stars: 36 votes
3 stars: 130 votes
4 stars: 608 votes
5 stars: 1315 votes

Frequently Asked Questions

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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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