Python Advanced
Our Python Advanced class will cover higher-level topics such as splicing, list/set/dictionary comprehensions, and Python libraries used in Machine Learning such as Numpy and Pandas!
About the Course
This class will teach fundamental knowledge about Python which will come in handy for fields of Machine Learning & Artificial Intelligence. At the end of the course, students will have the ability to plot advanced graphs using Python libraries and gain a better understanding of the numerous Python data structures!
Prerequisites: Python Basic w/ Codefy, or an equivalent course. A general comprehension of computer programming as well as basic knowledge of Python data structures is recommended.
Recommended software: PyCharm, Jupyter Notebook, Atom, VSCode or an equivalent Python IDE which works with Python 3+
Recommended ages: Middle or High School students
Course Syllabus
Lesson 1 - Data Types
Topics covered:
- Lists
- Sets
- Dictionary Functions
- Splicing/Slicing
Lesson 2 - List Comprehensions
Topics covered:
- List, set, and dictionary comprehensions
Lesson 3 - Sets
Topics covered:
- Comprehensions continuation and set operations
Lesson 4 - Matplotlib
Topics covered:
- Data visualization with Matplotlib
Lesson 5 - Numpy
Topics covered:
- High-performance calculations with Numpy
Lesson 6 - Pandas library
Topics covered:
- Data processing with the Pandas library
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