Python Scripting refers to the practice of writing scripts in Python programming language so as to to automate repetitive tasks. The scripts are used for system administration, web scraping, data manipulation, or any repetitive tasks which can be automated and needs negligible human input. The practice involves writing scripts using Python's programming features.
Certification in Python Scripting certifies your skills and knowledge in using Python for writing scripts and automating tasks. The certification assess you in core Python programming, Python's libraries, and developing scripts to automate workflows and tasks.
Why is Python Scripting certification important?
The certification validates your skills and knowledge of writing Python scripts for automation.
Increases your career prospects in system administration
Provides you credibility as an expert in Python scripting.
Makes you more competitive in the DevOps job market.
Acts as an proof of your Python skills.
Adds to your credibility for senior roles.
Who should take the Python Scripting Exam?
Python Developer
Software Engineer
System Administrator
DevOps Engineer
Automation Engineer
Data Analyst
Web Scraping Specialist
Cloud Engineer
IT Specialist
Data Scientist
Skills Evaluated
Candidates taking the certification exam on the Python Scripting is evaluated for the following skills:
Python Syntax and Programming
Automation of Tasks
File Handling
Working with Libraries and Modules
Debugging and Error Handling
System Integration
Web Scraping and APIs
Data Processing
Performance Optimization
Working with Databases
Python Scripting Certification Course Outline
The course outline for Python Scripting certification is as below -
Domain 1 - Python Basics
Python syntax, variables, data types
Operators, expressions, and control flow (if-else, loops)
Functions and modules in Python
List, dictionary, tuple, set, and string handling
Domain 2 - Automation and Scripting Techniques
Automating system tasks (e.g., file handling, scheduling tasks)
Writing scripts for file and directory management
Automating data collection and processing
Domain 3 - Working with Libraries and Modules
Using built-in libraries: os, sys, subprocess, datetime, and more
Installing and using third-party libraries
Using Python for interacting with the system shell and executing commands
Domain 4 - Error Handling and Debugging
Exception handling: try-except blocks
Debugging Python scripts using debugging tools
Writing error logs and handling errors gracefully
Domain 5 - File Handling and Data Processing
Reading and writing text and binary files
Parsing and processing data from files (CSV, JSON, XML)
Working with large datasets and optimizing performance
Domain 6 - Web Scraping and APIs
Web scraping using BeautifulSoup, Scrapy, and requests
Handling APIs and making HTTP requests with Python
Storing and processing web data
Domain 7 - Data Analysis and Processing
Using Python libraries like Pandas for data manipulation
Data analysis techniques and data transformation
Handling and processing data from various formats (CSV, JSON, SQL)
Domain 8 - Working with Databases
Connecting Python to databases: SQLite, MySQL, MongoDB
Querying databases using Python
Performing CRUD operations using Python and SQLAlchemy