Exploring Python Automation and Scripting | Examples

ElevatEd
Coding
July 12, 2024

Python Automation and scripting are the wild storms of a fast-moving technological world. Out of the many languages Python has managed to carve out a niche as the favorite for Automation and Scripting tasks.

The simplicity, readability, and huge ecosystem of libraries make Python a favorite language among developers and non-developers alike. In this blog, you will learn about the role Python has played so far in automation and scripting and the reason behind its adoption.

Dominance of Python era

The dominance of Python in automation and scripting is not a coincidence. The following are the key features that favored Python to be the dominant figure.

Readability and Simplicity
Versatility
Extensive libraries and frameworks
Cross-platform compatibility

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Understanding Python Automation

Using Python programming language to automate tasks like creating programs, and scripts that don't require manual intervention is called Python Automation. There are many areas where one can use the power of automation via Python. Here are some examples:

Web Scraping: With libraries like Beautiful Soup and Scrapy, it's quite easy to harvest data from websites. Such tools can scrape data and analyze use it for research when necessary.
File and Data Manipulation: Some of the mundane tasks being automated means saving time and extra burning effort. Pandas library in Python has been helpful in this respect.
Task Scheduling: Tasks in Python can be automated to get executed after a point in time. Schedule library and cron jobs in Unix-based systems are heavily used in automating tasks, especially backups or updating routines.
Automated Testing: Python is also used in software development for automated testing. The unittest, pytest, and selenium frameworks guarantee long-lasting and bug-free code by running tests automatically.
Network Automation: Libraries such as paramiko and netmiko can be used to automate network device configuration and management, increasing efficiency in IT operations.

Python in Scripting

Python scripting is the act of writing small programs for automating simple tasks, which are usually associated with personal productivity and system administration. The major benefits of Python scripting are listed as follows:

Easy to learn and use: Python syntax is simple. Users can write scripts rapidly since they don't require deep programming knowledge.
Interactive: The Python interactive shell enables fast development cycle testing and debugging of scripts.
Integration: Python scripts can be easily incorporated with other software or systems because it has a huge standard library and third-party modules that help connect a script to another.

Real-World Examples

Let's see how Python automation and Python scripting are backed with some of the cool real-life applications. The following are the listed examples that show why Python is adopted for automation and scripting.

Automated Social Media Posts
Email Automation
Backup of Data and Recovery

Wrap-up

Automation and scripting were the core uses of Python from the very beginning. What really makes this language inevitable is it could be an experienced developer or a fresher who wants to automate some simple tasks, Python provides it.

Isn't it fascinating to learn how Python is simple yet popular among developers in the field? Are you also wishing to learn Python? Book a free trial with 98thPercentile to learn coding from an early age and enter the coding universe.

FAQs (Frequently Asked Questions)

Q1: What makes Python suitable for automation and scripting?

Ans: Python is perfect for automation and scripting because of its versatility, readability, and simplicity.

Q2: Can Python be used for web scraping?

Ans: Yes, Python is extensively used in web scraping due to libraries such as beautifulSoup and Scrapy that make data extraction from websites a lot easier.

Q3: Is Python a good language to learn for scripting for a beginner?

Ans: Python is very simple, and the interactive shell is excellent for people starting in scripting.

Q4: What are some of the common libraries used in automation using Python?

Ans: Some of these libraries are

Requests for HTTP requests
Beautifulsoup for Web scraping
Pandas for data manipulation
Selenium for browser automation.

Q5: Can Python do network automation?

Ans: Python does network automation through libraries like paramiko and netmiko, which are used for the configuration and management of network devices.

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