Python Automation Tutorial – How to Automate Tasks for Beginners [Full Course]
Learn how to use Python automation to perform common tasks. In this full course you will learn how to build the following automation projects:
- Hacker News Headlines Emailer
- TED Talk Downloader
- Table Extractor from PDF
- Automated Bulk Resume Parser
- Image Type Converter
- Building an Automated News Summarizer
💻 Code: https://github.com/amrrs/build_tools_to_automate_python
✏️ Course from 1littlecoder. Check out his channel: https://www.youtube.com/c/1littlecoder
❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)
⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:00:29) Hacker News Headlines Emailer - Tutorial 1
⌨️ (0:01:13) Introduction to Web Scraping
⌨️ (0:03:08) Setting up the Environment
⌨️ (0:06:30) Project Script
⌨️ (0:11:00) Website Structure of Hacker News FrontPage
⌨️ (0:21:00) Sending Email from Python
⌨️ (0:35:15) Building the Headlines Email Module
⌨️ (0:39:07) TED Talk Downloader - Tutorial 2
⌨️ (0:39:49) Installation and Introduction to requests package
⌨️ (0:41:25) Installation and Introduction to BeautifulSoup
⌨️ (0:43:25) Building the basic script to download the video
⌨️ (0:49:37) Generalising the Script to get Arguments
⌨️ (0:53:49) Table Extractor from PDF - Tutorial 3
⌨️ (0:54:44) Basics of PDF Format
⌨️ (0:57:05) Installing required Python Modules
⌨️ (1:02:16) Extracting Table from PDF
⌨️ (1:06:51) Quick Introduction to Jupyter Notebook
⌨️ (1:08:29) PDF Extraction on Jupyter Notebook
⌨️ (1:15:29) Pandas and Write Table as CSV Excel
⌨️ (1:21:02) Automated Bulk Resume Parser - Tutorial 4
⌨️ (1:22:15) Different Formats of Resumes and marking relevant Information
⌨️ (1:25:50) Project Architecture and Brief Overview of the required packages and installations
⌨️ (1:34:48) Basics of Regular Expression in Python
⌨️ (1:41:38) Basic Overview of Spacy Functions
⌨️ (1:49:55) Extracting Relevant Information from the Resumes
⌨️ (2:1
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