Automate Everything with Python

In this video, we will talk about how to access Replit.com, a cloud-based IDE with modern features that will improve your learning experience in this course.

In this video, you will learn how to navigate the Repl directory, how to create a new Repl and write and run Python code in that Repl, how to install Python packages, how to create more Python files or other files in your Repl environment, and how to upload files in Repl.

Now, we will start learning how to do web scrapping with Selenium. In this lecture, we will scrape text from a web page and print that text in the Python console.

If you are working on a local IDE such as PyCharm or Visual Studio Code and not on Repl like me, you need to add two extra lines to the code we wrote in the previous lecture. Here, I will show you what these additional lines are.

This lecture shows how to scrape a dynamic value from a web page using Python and Selenium.

This video shows how to write a Python script that does an automatic login in an online form by filling in the username and the password and then clicking on the Homepage.

This exercise asks you to make the script that we created previously better by scraping the value that is printed on the Home page of a website.

Here is how you can scrape a value from a website and print that value on the Terminal.

Your task in this exercise is to create a script that scrapes a dynamic value on a web page every two seconds and saves this value on a generated text file.

Sometimes you need a special command to delete practice text files from your Repl directory.

The script created in this video solves the exercise of scraping a dynamic value from a web page every two seconds and saving each value in a text file.

Solidify your Selenium skills by doing web scrapping and accessing an Online Retailer.

The script created in this lesson accesses an online retailer by going to its website, logging in, and clicking the "Contact Us" link.

Python is a great tool for downloading stock data. Here you will learn to download historical stock data for any company.

BeautifulSoup is a crucial web scraping library for Python. Learn to use it while scraping real-time currency rates in this video.

We will start learning about REST APIs and access certain APIs via Python.

Here is how to get news from an API using HTTP requests from the Requests library.

Here is how to access the current top headlines for a particular country via a news API.

Now you get to make some practice with accessing APIs and working with JSON data.

Here is the solution to the previous exercise. I will teach you how to write a script that accesses weather forecast data from a weather API and transfers them in a text file.

In this exciting lesson, you will learn how to build your own API. Specifically, it will be a REST API that serves data for currency conversion rate.

In this lesson, we will explore how we can through Python access data from Facebook profiles using the official Facebook API.

Let's learn how to use the LanguageTool API to make grammar corrections on a selected text.

Here you will learn how to use the Pathlib standard Python library that interestingly is often seen as a substitution for the well-known OS library.

Pathlib has many practical uses in Python programming. One of them is changing the prefixes of all the files contained in a folder. This lesson teaches you how to do that.

In this video, we will write a script that renames specific files on a folder-name basis using Pathlib.

Learn to create a Python script that sends a single email from one email address to another email address. The libraries that we will be using are Yagmail and OS.

This exercise aims to improve the script created in the previous lessons so that it automatically sends an email every 60 seconds.

This lesson features the solution to the previous exercise that asked you to modify the script created in the earlier lessons so that it automatically sends an email every 60 seconds.

Learn how to send an email automatically at a certain time every day using Python.

Learn to schedule the execution of your script by uploading it on PythonAnywhere.

In this lesson, we will extract many email addresses from a CSV file and automatically send an email to each of them.

Here, you will learn how to send an email that contains an attachment via Python.

This exercise asks you to send an email with an attachment to a list of contacts stored in a CSV file.

Here you can see my solution on how to send an email with an attachment to each of the contacts stored in a CSV file.

In this video, we will write a script that reads a CSV file with different email records and sends an email with an attachment containing a specific text file corresponding to each contact.

For anyone who doesn't use Gmail, here is how to automatically send a plain Text Email from an Outlook or Hotmail account using Smtplib and Python.

Here, you will learn how to send a Rich HTML Email from Outlook or Hotmail using Python and the Smtplib library.

In this video, you will learn how to send an email containing an attachment from an Outlook or Hotmail account using Python.

In this independent student project, you have to build a Python application that scrapes the stock price change percentage from a website.

The great thing about Python is that there are many ways to create the building blocks of an app that gives you the same output. Here you will find solutions provided by different students of this course.

Many modern tools that assist Python have surfaced over the last years. Find out more about these tools in this section.

Two minutes are what it takes to create and publish this website with Python. Learn how that is possible by watching this video.

Did you know you can use Jupyter Notebooks as a cloud-based service? This is made possible by Deepnote.com. Learn how to use this service in this video.

Here, you will learn how to use Deepnote as a cloud-based IDE together with Notion, which has both great web and desktop applications for keeping notes.

Streamlit is one of the coolest Python frameworks for creating interactive web apps and data visualizations dashboards. This video reveals how to use this modern framework.

PythonAnywhere is another must-know tool for any Python programmer. Learn how to use this online service that gives you access to servers 24/7.

In this video, you will be introduced to OpenCV, also known as Cv2, a Python library that is used for image processing, capturing videos, and detecting objects in images and video as well.