Beginners in the field of data science who are not familiar with programming often have a hard time figuring out where they should start.
Fundamentals of Python consists of a discussion of basic building blocks of the Python programming language. Here, “Fundamentals of Python” is divided into the following categories. And we will be discussing each topic separately.
Unlike most programming languages python uses indentation to mark a block of code. According to python style guidelines or PEP8, you should keep an indent size of four.
Most of the programming languages provide indentation for better code formatting and don’t enforce to have it. But in Python it is mandatory. This is why indentation is so crucial in Python.
A basic Python curriculum can be broken down into 4 essential topics that include:
Data types (int, float, strings)
Compound data structures (lists, tuples, and dictionaries)
Conditionals, loops, and functions
Object-oriented programming and using external libraries
Course Objectives and Role in Program The objectives of this course include:
Teach an example of scripting and interpretative language and compare it with classical compiled programming languages
Introduce the student to Python programming fundamentals
Expose students to application development and prototyping using Python
Learn to apply fundamental problem solving techniques
Learning Outcomes At the end of this course students will
Understand principles of Python
Understand the pros and cons on scripting languages vs. classical programming languages (at a high level)
Understand object oriented programming
Understand how Python can be used for application development as well as quick networking,
QA and game programming Topics Covered
Language syntax and fundamentals
Data types
Exception handling and events
Functions and control structures
Object oriented programming
Text processing and regular expressions
Networking
Graphical user interfaces
Game development (using 3rd party library)
