Python Coding Simplified: Accessible Steps to Learn and Become a Programmer in Python

Python Coding Simplified: Accessible Steps to Learn and Become a Programmer in Python is about  simplifying the coding intricacies that impede people from learning Python. Assuming no prior knowledge  of coding, the book takes a practical , simplified approach, making the fancy Python concepts accessible.The book orients the user to the fundamentals of programming and the behaviour of Python. The user is expected to understand how the machine interprets letters and numbers in such systems as binary and decimal using Python. They will be taught how to switch numbers between binary and decimal systems. So, they will learn that 1 + 1 = 10, and they are expected to have gained knowledge about Python's simple code that underpins cryptography. Finally, they will take the stairs to the top by taking a first step in becoming a developer through learning Python function. This topic among others teaches an interesting mathematical programming concept known as recursion: a function that instructs itself to run some tasks.

Key Features

Extensive coding lessons and examples in Python operators

Extensive coding lessons and examples in Python variables

Extensive coding lessons and examples in Python data types

Extensive coding lessons and examples in Python data structures

Extensive coding lessons and examples in Python function

About the Author

Muriel Malopa Makosani is a PhD economics student at  the University of Cape Town (UCT). She holds a Master's Degree of Economics in Finance (Zhongnan University of Economics and Law). Her passion for programming is natural: she has experiences and earned certificates in Data Science with Python (UCT-GetSmarter), R programming (UCT-DataFirst), Web Design (UCT-GetSmarter), Financial Modelling (UCT-GSB), GIS Spatial Data Science(Esri), GIS Spatial Analytics (Esri) and GIS Modern Geo Apps (Esri). Her research area of interest focuses on addressing contemporary questions about the risks, returns and future implications of cryptocurrencies.