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Free ebook Automating Everyday Tasks with Python

Course content

Introduction to Python and Its Capabilities

Setting Up a Python Development Environment

Understanding Python Syntax and Basics

Working with Python Libraries for Automation

File System Navigation with Python

Automating File Creation and Deletion

Organizing Files Automatically

Reading and Writing Files with Python

Batch Renaming Files

Manipulating PDF Files with Python

Working with CSV Files

Excel Automation with Python

Excel Automation with Python: Introduction to Excel Automation

Excel Automation with Python: Understanding Excel File Formats

Excel Automation with Python: Using OpenPyXL for Excel Automation

Excel Automation with Python: Automating Excel with Pandas

Excel Automation with Python: Excel Data Validation and Error Checking

Excel Automation with Python: Excel Chart Creation with Python

Excel Automation with Python: Automating Excel Macros with Python

Excel Automation with Python: Excel Formula Automation

Excel Automation with Python: Conditional Formatting in Excel with Python

Excel Automation with Python: Automating Data Import/Export in Excel

Excel Automation with Python: Excel Template Automation for Reports

Excel Automation with Python: Handling Large Excel Files Efficiently

Excel Automation with Python: Integrating Python with Excel VBA

Excel Automation with Python: Excel Automation for Financial Analysis

Excel Automation with Python: Automating Pivot Tables with Python

Excel Automation with Python: Excel File Protection and Security with Python

Excel Automation with Python: Scheduling Excel Automation Tasks

Excel Automation with Python: Real-Time Data Updates in Excel with Python

Excel Automation with Python: Excel Automation for Data Visualization

Excel Automation with Python: Case Studies in Excel Automation

Introduction to Web Scraping

Using Requests to Fetch Web Data

Parsing HTML with BeautifulSoup

Scraping Data with Scrapy

Interacting with Web APIs

Automation with Selenium for Web Navigation

Data Extraction and Transformation

Data Cleaning and Preprocessing

Using Regular Expressions in Python

Sending Automated Emails with Python

Sending Automated Emails with Python: Understanding SMTP Protocol

Sending Automated Emails with Python: Setting Up an Email Server

Sending Automated Emails with Python: Python Libraries for Email Automation

Sending Automated Emails with Python: Formatting HTML Emails

Sending Automated Emails with Python: Attaching Files to Emails

Sending Automated Emails with Python: Handling Email Authentication

Sending Automated Emails with Python: Managing Email Threads

Sending Automated Emails with Python: Tracking Email Delivery and Open Rates

Sending Automated Emails with Python: Using Email Templates for Automation

Sending Automated Emails with Python: Handling Email Bounces and Errors

Sending Automated Emails with Python: Securing Email Communications

Sending Automated Emails with Python: Scheduling Email Sends with Python

Sending Automated Emails with Python: Integrating Email Automation with CRM Tools

Sending Automated Emails with Python: Using OAuth for Email Authentication

Sending Automated Emails with Python: Personalizing Email Content with Python

Email Parsing and Management

Automating Data Entry Tasks

Working with JSON Data

Database Interaction with Python

Generating Reports with Matplotlib

Automating Report Generation with Pandas

Automating Report Generation with Pandas: Introduction to Pandas for Data Manipulation

Automating Report Generation with Pandas: Setting Up DataFrames for Report Generation

Automating Report Generation with Pandas: Data Aggregation Techniques with Pandas

Automating Report Generation with Pandas: Creating Summary Statistics with Pandas

Automating Report Generation with Pandas: Visualizing Data with Pandas and Matplotlib

Automating Report Generation with Pandas: Customizing Pandas DataFrames for Report Formats

Automating Report Generation with Pandas: Exporting Pandas DataFrames to Excel/CSV for Reports

Automating Report Generation with Pandas: Automating Data Refresh in Pandas Reports

Automating Report Generation with Pandas: Integrating Pandas with Other Reporting Tools

Automating Report Generation with Pandas: Handling Large Datasets with Pandas for Reports

Automating Report Generation with Pandas: Using Pandas for Time Series Analysis in Reports

Automating Report Generation with Pandas: Incorporating User Input in Pandas Report Automation

Automating Report Generation with Pandas: Scheduling Automated Reports with Pandas

Automating Report Generation with Pandas: Error Handling in Pandas Report Automation

Automating Report Generation with Pandas: Optimizing Performance of Pandas Report Scripts

Workflow Automation with Python

Using Python's Scheduler Libraries

Asynchronous Programming in Automation

Introduction to Python's Datetime Library

Automating Time-Sensitive Tasks

Logging and Error Handling in Automated Scripts

Deploying Python Automation Scripts

Scheduling Python Scripts with Cron (Linux) or Task Scheduler (Windows)

Enhancing Automation with Decorators

Creating Custom Automation Tools

Case Study: Automating a Real-World Task

Effective Debugging of Automation Scripts

Security Considerations in Automation

Performance Optimization for Automation

Version Control for Automation Scripts with Git

Creating a Python Package for Distribution

Using Docker for Python Automation

Integrating Python Scripts with CI/CD Pipelines

Exploring Python's Ecosystem for Advanced Automation

Project Management of Automation Projects

Documentation and Maintenance of Automatic Scripts

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Engaging with Python Automation Communities

Course Description

The Automating Everyday Tasks with Python course is an immersive journey into the world of Python, a powerful and versatile programming language, especially suited for automating a wide range of everyday tasks. As part of the Information Technology category, under the Programming Languages subcategory, this course stands out by focusing specifically on Python's capabilities for automation.

Kicking off with an Introduction to Python and Its Capabilities, learners are introduced to the fundamental syntax and basic constructs of Python. The course rapidly guides you on how to Set Up a Python Development Environment, emphasizing hands-on experience right from the start. Understanding Python syntax and familiarizing oneself with the language's basics is pivotal, forming the foundation upon which subsequent automation skills are built.

The curriculum extends to working with popular Python libraries essential for automation, enhancing one's ability to navigate the file system efficiently, automate file creation, deletion, and organization tasks. You'll learn to read from and write to files in various formats, including PDF and CSV, and even automate Excel tasks using Python for comprehensive data processing and analysis.

The course delves deep into Excel Automation with Python, providing insights into Excel data validation, error checking, and chart creation. The integration of Python with Excel VBA, data visualization, and real-time updates in Excel prepares learners to handle extensive financial analysis and reporting tasks automatically. It not only covers batch file operations but also provides case studies to demonstrate practical Excel automation applications.

Moreover, students will gain proficiency in Web Scraping, utilizing tools like BeautifulSoup and Scrapy for data extraction from the web. You will also explore integrating with web APIs and performing web navigation tasks using Selenium, thus ensuring your capabilities extend beyond local automation and into the realm of web data interaction.

Another significant segment constitutes Sending Automated Emails with Python, where you will master email automation using SMTP, and related Python libraries for formatting HTML, managing email threads, handling authentication, and integrating these capabilities with CRM tools.

In the context of data processing, Working with JSON Data, Database Interaction with Python, and the use of Matplotlib for generating illustrative reports with Pandas transform you into a proficient, data-driven developer. The course accentuates automating data entry and report generation tasks, employing Pandas for efficient data manipulation and dynamic reporting.

The journey continues with Workflow Automation, leveraging Python's scheduling capabilities and asynchronous programming paradigms to execute time-sensitive tasks adeptly. Additionally, the course covers essential topics like error handling, deployment of automation scripts, and utilizing Docker and CI/CD pipelines for enhanced automation management.

Encompassing essential skills in Project Management of Automation Projects and Documentation and Maintenance of Automated Scripts, the course not only equips you with practical skills but also prepares you to maintain and improve automation solutions effectively. Alongside, engaging with Python automation communities enriches the learning experience, fostering a collaborative approach to problem-solving and innovation.