Mastering Python Programming - November 2-6, 2020
November 2-6, 2020
Duration: 5 days
Live Virtual Class
This course leads you from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and the extensive functionality of Python modules. Emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. This comprehensive course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. At the conclusion, you will be able to use Python to complete tasks in the real world.
Throughout the course students will learn to write essential Python scripts using the most current and efficient skills and techniques.
Working within in an engaging, hands-on learning environment, guided by our expert instructor, students will learn to:
- Create working Python scripts following best practices
- Use python data types appropriately
- Read and write files with both text and binary data
- Search and replace text with regular expressions
- Get familiar with the standard library and its work-saving modules
- Use lesser known but powerful Python data types
- Create "real-world", professional Python applications
- Work with dates, times, and calendars
- Know when to use collections such as lists, dictionaries, and sets
- Understand Pythonic features such as comprehensions and iterators
- Write robust code using exception handling
This in an introductory-level Python course geared for experienced users who want to use Python in web development projects, or system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows.
Before attending this course, you should have:
- Basic familiarity with Python
- Working knowledge of Unix/Linux, Mac, or Windows
This course is approximately 50% hands-on lab to 50% lecture ratio, combining engaging lecture, demos, group activities and discussions with machine-based practical programming labs and exercises. Student machines are required.