1 / 11

Automating Tasks with Python

This presentation titled "Automating Tasks with Python" explores various techniques and libraries for automating everyday tasks using Python. Topics include setting up the Python environment, working with files, web scraping, automating web interactions, email automation, working with APIs, task scheduling, data processing and analysis, and image processing. The session aims to equip attendees with practical skills to enhance productivity and streamline workflows through Python automation.

PRIYASAGI
Download Presentation

Automating Tasks with Python

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. SIMPLIFYING WORKFLOWS AND ENHANCING PRODUCTIVITY Automating Tasks with Python www.whytap.in +91 82700 99991

  2. Definition : Automation involves using technology to perform tasks with minimal human intervention. Introduction to Automation Benefits : Increased efficiency, accuracy, and productivity. Python's Role: Python's versatility and extensive libraries make it ideal for automation.

  3. Setting Up Your Environment Python Installation: Steps to install Python. IDE: Choosing an Integrated Development Environment (e.g., PyCharm, VS Code). Packages: Introduction to pip for managing packages.

  4. Working with Files Reading Files: Using open(), read(), and readlines(). Writing Files: Using write() and writelines(). Automating File Operations: Scripts for batch processing files.

  5. Web Scraping Introduction: Extracting data from websites. Libraries: BeautifulSoup and Scrapy. Example: A script to scrape data from a webpage.

  6. Email Automation Libraries: smtplib and email for sending emails. Example: Script to send automated emails. Use Cases: Notifications, reports, alerts.

  7. API Basics: Understanding APIs and endpoints. Working with APIs Requests Library: Using requests to interact with APIs. Example: Fetching data from a REST API.

  8. Task Scheduling Scheduling Scripts: Using cron (Linux) or Task Scheduler (Windows). Python Libraries: Introduction to schedule library. Example: Script to run a task at specific intervals.

  9. Data Processing and Analysis Create lessons with mixed media Faster feedback Flexible teaching strategies Teachers can offer instant feedback and guidance Educators can create lessons with mixed media and gamified elements Teachers are able to adapt to the learning styles of different students

  10. 01 Pillow: Image Processing Using Pillow for basic image processing tasks. 02 OpenCV: Advanced image processing with OpenCV. 03 Example: Automating image resizing and format conversion.

  11. Conclusion Recap: Summary of automation techniques covered. Next Steps: Further resources and learning paths. Thank You: Contact information and additional resources.

More Related