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freeCodeCamp

Python Automation Tutorial – How to Automate Tasks for Beginners [Full Course]

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Overview

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Projektbasierter Videokurs, der Einsteigern zeigt, wie sie alltägliche Aufgaben mit Python automatisieren. In sechs Tutorials entstehen ein Hacker-News-Headline-Mailer, ein TED-Talk-Downloader mit requests und BeautifulSoup, ein Tabellen-Extraktor aus PDFs mit Auswertung in Jupyter Notebook und pandas, ein Bulk-Resume-Parser mit regulären Ausdrücken und spaCy, ein Bildformat-Konverter als CLI-Tool sowie ein automatisierter News-Summarizer mit Gensim inklusive Zeitplanung. Geeignet für alle mit Python-Grundkenntnissen, die praktische Skripte schreiben wollen.

Syllabus

Introduction.
Hacker News Headlines Emailer - Tutorial 1.
Introduction to Web Scraping.
Setting up the Environment.
Project Script.
Website Structure of Hacker News FrontPage.
Sending Email from Python.
Building the Headlines Email Module.
TED Talk Downloader - Tutorial 2.
Installation and Introduction to requests package.
Installation and Introduction to BeautifulSoup.
Building the basic script to download the video.
Generalising the Script to get Arguments.
Table Extractor from PDF - Tutorial 3 .
Basics of PDF Format.
Installing required Python Modules.
Extracting Table from PDF.
Quick Introduction to Jupyter Notebook.
PDF Extraction on Jupyter Notebook.
Pandas and Write Table as CSV Excel.
Automated Bulk Resume Parser - Tutorial 4.
Different Formats of Resumes and marking relevant Information.
Project Architecture and Brief Overview of the required packages and installations.
Basics of Regular Expression in Python.
Basic Overview of Spacy Functions.
Extracting Relevant Information from the Resumes.
Completing the script to make it a one-click CLI.
Image Type Converter - Tutorial 5.
Different type of Image Formats.
What is an Image type convertor.
Introduction to Image Manipulation in Python.
Building an Image type converting Script.
Converting the script into a CLI Tool.
Building an Automated News Summarizer - Tutorial 6.
What is Text Summarization.
Installing Gensim and other Python Modules.
Extracting the required News Source.
Building the News Summarizer.
Scheduling the News Summarizer.
Thank you.

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