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Learn Python for Task Automation

سرفصل های دوره

Take the next step in your performance development and increase your productivity by learning how to automate daily work


1. Instructor Introduction
  • 1. Instructor Introduction

  • 2. Introduction to Python Programming
  • 1. Python Overview and Anaconda Installation Steps
  • 2. Introduction to the Jupyter Interface
  • 3. Advanced Features of Jupyter Notebook
  • 4. Overview of an Algorithmic Flow Control Chart
  • 5. Understanding the Various Data Types in Python
  • 6. Writing Comments in Python Code
  • 7. Using and Understanding Python Functions
  • 8. Gathering User Input from the Keyboard
  • 9. Using and Understanding Python Built-in Functions and Keywords
  • 10. User Defined Functions
  • 11. Conditional Statements (if statements)
  • 12. Understanding Python Based Looping Constructs
  • 13. Importing Modules
  • 14. Interacting the Operating System with Python
  • 15. Complex Data Types Sets
  • 16. Complex Data Types Lists
  • 17. Complex Data Types Dictionary
  • 18. Python Programming Odds and Ends
  • 19. Introduction to Online Pythony Resources

  • 3. Using Python and Pandas
  • 1. Using Desktop Files with Python
  • 2. Reading and Writing CSV Files Using Python
  • 3. Writing to CSV Files with Python
  • 4. Writing to CSV Files with Pandas
  • 5. Reading CSV Files with Pandas

  • 4. Using Python with Excel
  • 1. Introduction to Python and Excel
  • 2. Gathering Data from Excel into Python with Pandas
  • 3. Writing Data from Pandas to Excel
  • 4. Using Python Data from Excel to Build Graphs
  • 5. Working with Excel Sheets and PyExcel
  • 6. Implementing Excel Functions and Python with Openpyxl
  • 7. Using Python and Openpyxl to Create Bar Charts in Excel

  • 5. Using Python with PDF files
  • 1. Using Python to Extract Document Information from a PDF
  • 2. Using Python to Rotate Pages in a PDF
  • 3. Using Python to Merge Pages in PDF
  • 4. Using Python to Split Pages in PDF
  • 5. Using Python to Convert PDF to Text Based File

  • 6. Using Python Image Functions
  • 1. Introduction to Image Processing with Python
  • 2. Reading Images From a URL
  • 3. Using Python to Crop and Resize Images
  • 4. Creating Image Thumbnails
  • 5. Creating Royalty Free Images and Creating Watermarks with Python
  • 6. Setting the Font Adding and Positioning Text
  • 7. Resizing Multiple Images in Bulk
  • 8. Using Python to Design Business Cards
  • 9. Inserting Logos in Multiple Images in Bulk
  • 10. Designing Multiple Certificates in Bulk

  • 7. Getting Started With Macro Automation
  • 1. Introduction to Macro Automation
  • 2. Introduction to Auto Mouse and Keyboard Control
  • 3. Introduction to PyAuto
  • 4. Clicking After Moving, Dragging, Dropping, and Scrolling
  • 5. Screen Recognition Macro

  • 8. Getting Started With Web Automation Using Macro
  • 1. Introduction to HTML
  • 2. Basic Web Scraping
  • 3. Introduction to Python and Web Scraping
  • 4. Demo Web Scraping for New York Yankee Info
  • 5. Using Python with HTML
  • 6. Introduction to Selenium
  • 7. Introduction to the Requests Module
  • 8. Introduction to Beautiful Soup
  • 9. Introduction to Headless Automation
  • 10. Web Scraping on Twitter
  • 11. Web Scraping on Instagram

  • 9. Introduction to Application Programming Interfaces (APIs)
  • 1. Introduction to Application Programming Interfaces (API)
  • 2. Introduction to Twitter APIs
  • 3. Introduction to Python and Twitter
  • 4. Introduction to Python and Tweepy
  • 5. Introduction to Instagram APIs
  • 6. Introduction to Instagrapi
  • 7. Introduction to Instapy API

  • 10. Python and Google APIs
  • 1. Introduction to Google APIs
  • 2. Creating Files on Google Drive
  • 3. Getting Google News
  • 4. Creating Google Spreadsheets
  • 5. Sending Emails Through Gmail

  • 11. Building a Telegram Chatbot with Python
  • 1. Introduction to Telegraph API for Python
  • 2. Creating Telegram Chatbot Functions
  • 3. Getting News from Telegram Chatbot Functions
  • 4. Sending File Attachments to the Telegram Chatbot
  • 5. Demo Getting Weather Info with Telegram API and Web Scrapping

  • 12. Building a SlackBot with Python
  • 1. Introduction to the Slack Client API for Python
  • 2. Messaging with the Slack Client API for Python
  • 3. Uploading Attachments with the Slack API for Python

  • 13. Scheduling Your Task Automation
  • 1. Introduction to Python Time Based Modules
  • 2. Final Review
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    مدت زمان: 556 دقیقه
    تاریخ انتشار: 26 دی 1401
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