This note covers
the following topics: Functions, Values and Side Effects, Control and
Higher-Order Functions, Environments and Lambda, Newton's Method and Recursion,
Data Abstraction, Sequences and Iterables, Objects, Lists, and Dictionaries,
Mutable Data Types, Object-Oriented Programming, Inheritance, Generic Functions,
Coercion and Recursive Data, Functional Programming, Declarative Programming,
Unification, MapReduce, Parallelism.
The lecture
note covers programming concepts in detail with regard to the importance of
beginners. The note compiles basic elements about objects, variables, and
methods in relation to the significance of classes in object-oriented
programming. Readers will learn about primitive data types, conditional and loop
statements, and application of arrays and matrices in the management of data.
Another aspect that the note focuses on is practical skills, such as file
handling and error management, recursion, etc. What makes this resource absolute
for beginning programmers is its clarity and structured approach.
This book is meant for
undergraduate students who wish to obtain a basic knowledge in coding theory
based on the subject of linear codes. It begins with introductory chapters based
on Shannon theory and relevant to coding, then advances to detailed discussions
about decoding linear codes and the MacWilliams identity. Besides these, the
construction of new codes and the attainment of bounds on code performance are
subjects of discussion, and thus Reed-Muller codes prove very significant in
this light. This book is an exposition of the practical coding theory applied in
many fields: telecommunications to data storage. It focuses on fast decoding
techniques and higher-order RM codes.