This note exlains the following toipics: Basic Business Data Analysis, Python as a Basic and Business Calculator,
X Y Plots, Simple Data Analysis, Manipulating Data and More Complex Data
Analysis, Reading In and Writing Out Text Data, Automating and Managing
Information Systems, Managing Files, Managing Collections of Files Directories,
Managing Collections of Files Searching and Designing Power
Programs.
This PDF Programming Fundamentals covers the following topics
related to Programing Theory : Introduction to Programming Systems, Data and
Operators, Functions, Conditions, Loops, Arrays, Strings and Files,
Object-Oriented Programming.
Author(s): Kenneth Leroy Busbee, Dave
Braunschweig
This note covers the following
topics: Basic codes and constructions, Algebraic Geometry Codes, Limits on
Performance of Codes, Algebraic decoding, Algebraic decoding, Linear time
decoding, Decoding from random errors and erasures, Applications in complexity
theory and Complexity results in coding theory.
This note explains
the following topics: Object-oriented programming, Data encapsulation with
classes, Subclasses and inheritance, Abstract classes, Exception handling,
Reflection, Concurrent programming, Functional programming, Logic programming,
Scripting languages.
This book explains the following topics: Linear Codes, Probability
as Fancy Counting and the q-ary Entropy Function, Combinatorics, The Greatest
Code of Them All: Reed-Solomon Codes, What Happens When the Noise is Stochastic:
Shannon's Theorem, Bridging the Gap Between Shannon and Hamming: List Decoding,
Code Constructions, Code Concatenation, Algorithms, Decoding Concatenated Codes,
Efficiently Achieving the Capacity of the BSCp, Efficient Decoding of
Reed-Solomon Codes, Efficiently Achieving List Decoding Capacity, Applications.
Author(s): Venkatesan Guruswami, Atri Rudra and Madhu
Sudan
This book
emphasizes the role of computer languages as vehicles for expressing knowledge
and it presents basic principles of abstraction and modularity, together with
essential techniques for designing and implementing computer languages.
This book provides a practitioner's guide for students, programmers,
engineers, and scientists who wish to design and build efficient and
cost-effective programs for parallel and distributed computer systems. It covers
the following topics: Parallel Computers and Computation, Designing Parallel
Algorithms, Quantitative Basis for Design, Putting Components Together, Tools,
Fortran M, High Performance Fortran, Message Passing Interface and Performance
Tools.
This book covers the following
topics: Introduction to Programming,
General Computation Models, Declarative Programming Techniques, Declarative
Concurrency, Relational Programming, Object-Oriented Programming, Encapsulated
State, Concurrency and State, Specialized Computation Models, Semantics and
Virtual Machines.