python scripting course
A Python Scripting Course is designed to teach learners how to effectively use Python, a powerful and versatile programming language, for automating tasks, data manipulation, and development of small applications. The course typically covers the fundamentals of Python syntax and programming concepts, including variables, control structures, functions, and modules. Advanced topics may include file handling, error handling, and using libraries for tasks such as web scraping or interacting with APIs. Through hands-on exercises and projects, participants gain practical experience in writing scripts that automate everyday tasks, analyze data, or manage systems, making this course ideal for beginners and those looking to enhance their automation skills.
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1 - Introduction to Python: An overview of what Python is, its history, and why it is one of the most popular programming languages today.
2) Installation and Setup: Guidance on how to install Python and set up an integrated development environment (IDE) for writing and running Python scripts.
3) Basic Syntax and Data Types: Introduction to Python’s syntax along with fundamental data types such as integers, floats, strings, and booleans.
4) Control Structures: Learning about conditional statements (if, elif, else) and loops (for, while) that control the flow of a script.
5) Functions and Modules: Understanding how to define functions, use parameters, return values, and organize code into modules for reusability.
6) File Handling: Training on reading from and writing to files in various formats (text, CSV) to handle data storage.
7) Error Handling: Introduction to exceptions and how to write robust scripts using try, except, and finally blocks.
8) Data Structures: Insight into Python’s built in data structures, including lists, tuples, dictionaries, and sets, and their practical applications.
9) Libraries and Modules: Familiarization with standard libraries and third party modules such as NumPy, pandas, and requests to extend Python's capabilities.
10) Regular Expressions: Introduction to regular expressions (regex) for string manipulation and search functionality within scripts.
11) Object Oriented Programming (OOP): Basics of OOP concepts in Python including classes, objects, inheritance, and encapsulation.
12) Scripting for Automation: Teaching how to write scripts for automating repetitive tasks, such as data extraction and report generation.
13) Web Scraping Basics: An overview of web scraping techniques using libraries like Beautiful Soup and Scrapy to collect data from websites.
14) Basic Testing and Debugging Techniques: Introduction to testing scripts using unittest and debugging techniques to troubleshoot issues.
15) Project Based Learning: Applying the skills learned by working on real life projects, either individually or in groups, to reinforce knowledge and gain practical experience.
16) Best Practices and Code Quality: Discussion on writing clean, maintainable code, adhering to PEP 8 style guidelines, and the importance of code documentation.
17) Version Control with Git: Basic introduction to using Git for version control to manage changes in the codebase and collaborate with others.
18) Capstone Project: A final project that incorporates all the learned skills, allowing students to create a substantial script or application to showcase their abilities.
19) Resources and Community: Providing students with additional resources, such as online forums, documentation, and communities for ongoing learning and support.
20) Certification and Next Steps: Information on obtaining a course completion certificate and suggestions for further learning paths in Python and related technologies.
This structure is designed to cover various aspects of Python scripting, ensuring students gain a comprehensive understanding and practical skills by the end of the course.
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