Video description
Python BootcampLearn foundational Python with an emphasis for data
In this course, you will learn how to work effectively with Python. You will understand how to use variables, create functions, and work with classes. That foundational knowledge will allow you to understand testing and testing techniques to validate your work and then move onto Pandas and Numpy which allows you to work effectively with data sets and other data science tasks.
This is valuable for anyone wanting to get a quick introductory course on Python, like a student, programmer new to Python or aspiring data engineer or data scientist. At the end of this course you’ll be ready to work with more advanced concepts with Pandas and Numpy with a solid foundation in Python for any other task.
All lessons and videos have accompanying GitHub Repositories with example code.
Learn ObjectivesThis course has extensive content that covers Python for beginners and then moves onto more complex Python operations including data analysis, exploration, and manipulation with Pandas and NumPy. It will include the following learning objectives:
- Work with logic in Python, assigning variables and using different data structures
- Create functions and classes of different types
- Write, run, and debug tests using Pytest to validate your work
- Manipulate data with Pandas
- Create and modify NumPy arrays
This course is divided into content for 4 weeks, with 3 lessons per week:
Week 1: Introduction to Python
- Working with variables and types
- Introduction to Python data structures
- Adding and extracting data from data structures
Week 2: Python functions and Classes
- Working with functions
- Building classes and using methods
- Modules and advanced usage
Week 3: Testing in Python
- Introduction to testing
- Writing useful tests
- Test failures
Week 4: Introduction to Pandas and Numpy
- Basic Pandas usage
- Working with datasets
- Introduction to NumPy
Resources
Product information
- Title: Python Bootcamp
- Author(s):
- Release date: September 2022
- Publisher(s): Pragmatic AI Labs
- ISBN: 50146VIDEOPAIML
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