Learn Python for Beginners: Data Analysis & Data Science
A Comprehensive and Practical Hands-On Guide to Learning Python for Beginners, Aspiring Developers, Self-Learners,etc.
- Real-world use cases of Python and its versatility.
- Installation of Python on both Mac and Windows operating systems.
- Fundamentals of programming with Python, including variables and data types.
- Working with various operators in Python to perform operations.
- Handling data using essential data structures like lists, tuples, sets, and dictionaries.
- Utilizing functions and working with parameters and arguments.
- Employing filter, map, and zip functions for data processing.
- Exploring analytical and aggregate functions for data analysis.
- Using built-in functions for regular expressions and handling special characters and sets.
- Iterating over elements using for loops and while loops.
- Understanding the object-oriented programming (OOP) concepts and principles.
- Working with date and time classes, including TimeDelta for time manipulation.
- Beginners with no prior programming experience.
- Aspiring Python Developers.
- Students and Self-learners.
- Professionals transitioning to Python.
- Anyone interested in automating tasks or data analysis.
- Those preparing for coding interviews.