This document discusses principles of sequence control in programming languages. It covers expressions, assignment statements, selection statements like if/else and switch/case, and iterative statements like for, while, and loops controlled by data structures. It provides examples of how these concepts are implemented in different languages like C, Pascal, and C#. Unconditional branching with goto is also discussed, noting that while powerful it can hurt readability so most modern languages avoid or restrict it.
This document provides an overview of topics related to compiler design and implementation including: lexical analysis, parsing, semantic analysis, code generation, assembly language programming, finite automata, parsing algorithms, and the WL programming language. It lists specific tasks like performing semantic analysis on WL programs, generating MIPS assembly code from WL parse trees, drawing finite automata, and parsing strings using various grammars. It also defines key concepts and compares programming languages.
This document discusses lexical analysis in compilers. It begins with an outline of the topics to be covered, including lexical analysis, regular expressions, finite state automata, and the process of converting regular expressions to deterministic finite automata (DFAs). It then provides more details on each phase of a compiler and the role of lexical analysis. Key aspects of lexical analysis like tokenizing source code and classifying tokens are explained. The document also covers implementation of regular expressions using non-deterministic finite automata (NFAs) and their conversion to equivalent DFAs using techniques like epsilon-closure and transition tables.
Python Programming | JNTUA | UNIT 2 | Conditionals and Recursion | FabMinds
This document summarizes key concepts from lectures 9-11 on conditionals and recursion in Python programming. It discusses logical operators, relational operators, boolean expressions, floor division, modulus, conditional execution using if/else statements, chained and nested conditionals. Recursion is defined as a function calling itself and examples of valid and infinite recursion are provided. The document also covers taking keyboard input in Python using the input function.
The document discusses different options for assembler design, including one-pass, two-pass, and multi-pass assemblers. A one-pass assembler generates object code directly without a second pass over the source code. It handles forward references by omitting operand addresses until symbols are defined and linking instructions to symbols. A multi-pass assembler allows forward references to be resolved over multiple passes by tracking symbol dependencies.
The document summarizes issues in the design of a code generator, which is the final phase of the compiler. It discusses the input to the code generator, which is an intermediate representation from the front end. It also discusses the target program output formats like absolute machine language, relocatable machine language, and assembly language. Additional topics covered include memory management mapping names to runtime addresses, instruction selection based on the target machine's instruction set, register allocation, choices of evaluation order, and approaches to code generation focusing on producing correct code.
A parser is a program component that breaks input data into smaller elements according to the rules of a formal grammar. It builds a parse tree representing the syntactic structure of the input based on these grammar rules. There are two main types of parsers: top-down parsers start at the root of the parse tree and work downward, while bottom-up parsers start at the leaves and work upward. Parser generators use attributes like First and Follow to build parsing tables for predictive parsers like LL(1) parsers, which parse input from left to right based on a single lookahead token.
This document provides an introduction to 8086 assembly language programming. It discusses key concepts like variables, assignment, input/output, control flow, and subprograms. It then describes specific 8086 instructions like MOV for assignment, ADD, INC, DEC, and SUB for arithmetic operations, and INT for input/output. The document gives examples of writing simple programs that display or read characters using these instructions.
This document discusses principles of sequence control in programming languages. It covers expressions, assignment statements, selection statements like if/else and switch/case, and iterative statements like for, while, and loops controlled by data structures. It provides examples of how these concepts are implemented in different languages like C, Pascal, and C#. Unconditional branching with goto is also discussed, noting that while powerful it can hurt readability so most modern languages avoid or restrict it.
This document provides an overview of topics related to compiler design and implementation including: lexical analysis, parsing, semantic analysis, code generation, assembly language programming, finite automata, parsing algorithms, and the WL programming language. It lists specific tasks like performing semantic analysis on WL programs, generating MIPS assembly code from WL parse trees, drawing finite automata, and parsing strings using various grammars. It also defines key concepts and compares programming languages.
This document discusses lexical analysis in compilers. It begins with an outline of the topics to be covered, including lexical analysis, regular expressions, finite state automata, and the process of converting regular expressions to deterministic finite automata (DFAs). It then provides more details on each phase of a compiler and the role of lexical analysis. Key aspects of lexical analysis like tokenizing source code and classifying tokens are explained. The document also covers implementation of regular expressions using non-deterministic finite automata (NFAs) and their conversion to equivalent DFAs using techniques like epsilon-closure and transition tables.
Python Programming | JNTUA | UNIT 2 | Conditionals and Recursion | FabMinds
This document summarizes key concepts from lectures 9-11 on conditionals and recursion in Python programming. It discusses logical operators, relational operators, boolean expressions, floor division, modulus, conditional execution using if/else statements, chained and nested conditionals. Recursion is defined as a function calling itself and examples of valid and infinite recursion are provided. The document also covers taking keyboard input in Python using the input function.
The document discusses different options for assembler design, including one-pass, two-pass, and multi-pass assemblers. A one-pass assembler generates object code directly without a second pass over the source code. It handles forward references by omitting operand addresses until symbols are defined and linking instructions to symbols. A multi-pass assembler allows forward references to be resolved over multiple passes by tracking symbol dependencies.
The document summarizes issues in the design of a code generator, which is the final phase of the compiler. It discusses the input to the code generator, which is an intermediate representation from the front end. It also discusses the target program output formats like absolute machine language, relocatable machine language, and assembly language. Additional topics covered include memory management mapping names to runtime addresses, instruction selection based on the target machine's instruction set, register allocation, choices of evaluation order, and approaches to code generation focusing on producing correct code.
A parser is a program component that breaks input data into smaller elements according to the rules of a formal grammar. It builds a parse tree representing the syntactic structure of the input based on these grammar rules. There are two main types of parsers: top-down parsers start at the root of the parse tree and work downward, while bottom-up parsers start at the leaves and work upward. Parser generators use attributes like First and Follow to build parsing tables for predictive parsers like LL(1) parsers, which parse input from left to right based on a single lookahead token.
This document provides an introduction to 8086 assembly language programming. It discusses key concepts like variables, assignment, input/output, control flow, and subprograms. It then describes specific 8086 instructions like MOV for assignment, ADD, INC, DEC, and SUB for arithmetic operations, and INT for input/output. The document gives examples of writing simple programs that display or read characters using these instructions.
The document discusses code generation which involves mapping intermediate code to machine code. It describes three key issues in code generator design: instruction selection which determines the best machine instructions to use, register allocation which assigns variables to registers, and evaluation order which determines the order of instructions. The document outlines three algorithms for code generation that involve partitioning code into basic blocks, performing intra-block optimizations, and code selection and assignment.
This document provides an overview of compilers, including their history, components, and construction. It discusses the need for compilers to translate high-level programming languages into machine-readable code. The key phases of a compiler are described as scanning, parsing, semantic analysis, intermediate code generation, optimization, and code generation. Compiler construction relies on tools like scanner and parser generators.
C is a widely used programming language that is easy to learn and can create efficient programs. It allows working with low-level activities and can be compiled on many platforms. A C program consists of preprocessor commands, functions, variables, statements, expressions, and comments. A basic "Hello World" program is presented that prints the message using a printf statement.
The document discusses code generation in compilers. It describes the main tasks of the code generator as instruction selection, register allocation and assignment, and instruction ordering. It then discusses various issues in designing a code generator such as the input and output formats, memory management, different instruction selection and register allocation approaches, and choice of evaluation order. The target machine used is a hypothetical machine with general purpose registers, different addressing modes, and fixed instruction costs. Examples of instruction selection and utilization of addressing modes are provided.
The document discusses the fifth step of the problem-solving process - desk-checking the program. This involves translating the algorithm instructions into a C++ program and then desk-checking the program using sample data to ensure it was coded correctly. Any errors found need to be fixed before moving to the sixth step of evaluating and running the program on a computer. The sixth step may reveal syntax errors from violating language rules or logic errors that are harder to find, requiring the use of debugging to locate and resolve issues in the program.
FYBBA(CA) Sem I
Subject- C Language
Unit -2 Managing I/O operations
Lecture By – Mr. Salunke Ravindra
Head, Department Computer Application,
Dada Patil Mahavidyalaya, Karjat
Lecture - https://youtu.be/pu9ryMfwUMw
The document discusses intermediate code generation in compilers. It describes how compilers generate an intermediate representation from the abstract syntax tree that is machine independent and allows for optimizations. One popular intermediate representation is three-address code, where each statement contains at most three operands. This code is then represented using structures like quadruples and triples to store the operator and operands for code generation and rearranging during optimizations. Static single assignment form is also covered, which assigns unique names to variables to facilitate optimizations.
The document discusses selection structures in C++ programming. It defines single-alternative and dual-alternative selection structures and explains how to represent them using pseudocode, flowcharts, and the if/else statement. It covers comparison operators that can be used in selection conditions like <, >, ==, and !=. An example program demonstrates how to use an if statement to swap two numeric values if the first is greater than the second.
This document discusses coding the algorithm into a program, which is the fourth step of the problem-solving process. It covers declaring variables, coding instructions, getting input from the keyboard using cin, displaying output to the screen using cout, arithmetic expressions and operators, type conversions, and assignment statements. Arithmetic assignment operators can abbreviate statements that contain an operator and assignment.
The document discusses instructions for the 8085 microprocessor. It provides examples of programs to subtract and add 8-bit numbers. The subtraction program subtracts two 8-bit numbers stored in memory and stores the 8-bit result in a third memory location. The addition program adds two 8-bit numbers stored in memory and stores the 16-bit result in two consecutive memory locations, with the least significant byte in the first location and most significant byte in the second. It also classifies the microprocessor's instruction set into groups such as data transfer, arithmetic, logical, branch, stack, I/O and machine control.
The document discusses issues in code generation by a compiler. It defines code generation as converting an intermediate representation into executable machine code. The code generator accesses symbol tables and performs multiple passes over intermediate forms. Key issues addressed include the input to the code generator, generating code for the target machine, memory management, instruction selection, register allocation, and optimization techniques like reordering independent instructions to improve efficiency.
This document discusses various techniques for optimizing computer code, including:
1. Local optimizations that improve performance within basic blocks, such as constant folding, propagation, and elimination of redundant computations.
2. Global optimizations that analyze control flow across basic blocks, such as common subexpression elimination.
3. Loop optimizations that improve performance of loops by removing invariant data and induction variables.
4. Machine-dependent optimizations like peephole optimizations that replace instructions with more efficient alternatives.
The goal of optimizations is to improve speed and efficiency while preserving program meaning and correctness. Optimizations can occur at multiple stages of development and compilation.
This document provides an introduction to assembly language programming fundamentals. It discusses machine languages and low-level languages. It also covers data representation and numbering systems. Key assembly language concepts like instructions format, directives, procedures, macros and input/output are described. Examples are given to illustrate variables, assignment, conditional jumps, loops and other common programming elements in assembly language.
The document discusses data types and memory locations in C++. It explains that memory locations have specific data types that determine what type of data can be stored. The main data types are bool, char, short, int, float, double, and string. It also discusses selecting an appropriate initial value when declaring a variable or constant, ensuring the value's type matches the location's type. Variables and constants are declared using statements that reserve memory and can optionally initialize the location.
The document discusses code optimization techniques in compilers. It covers the following key points:
1. Code optimization aims to improve code performance by replacing high-level constructs with more efficient low-level code while preserving program semantics. It occurs at various compiler phases like source code, intermediate code, and target code.
2. Common optimization techniques include constant folding, propagation, algebraic simplification, strength reduction, copy propagation, and dead code elimination. Control and data flow analysis are required to perform many optimizations.
3. Optimizations can be local within basic blocks, global across blocks, or inter-procedural across procedures. Representations like flow graphs, basic blocks, and DAGs are used to apply optimizations at
This document discusses runtime environments and storage allocation strategies. It covers:
- How procedure activations are represented at runtime using activation records, control stacks, and activation trees. Activation records store local variables, parameters, return values, and more.
- Different strategies for allocating storage at runtime, including static allocation where sizes are known at compile time, stack allocation for procedure activations and recursion, and heap allocation for dynamic memory.
- How names are bound to values at compile time through environments and at runtime through states. The scope and lifetime of bindings are also discussed.
- Issues related to mapping names to storage locations and values at runtime, including how assignments change the state but not the environment.
-
This chapter introduces programming and programming languages. It defines programs, programmers, and programming languages. Programs are step-by-step instructions for computers, programmers create these instructions, and programming languages allow communication between programmers and computers. Early languages included machine code using 1s and 0s and assembly languages using mnemonics. Modern languages are high-level languages that are easier for humans to read and write. All programs use control structures like sequence, selection, and repetition to determine program logic and flow.
The security professional's guide to programming - Eric VanderburgEric Vanderburg
The document discusses various computer programming concepts including branching, looping, testing, documentation, C programming language fundamentals, HTML, Perl, and object-oriented programming. It explains that writing clear comments, adopting good programming practices like pseudocode, and understanding different programming paradigms are important for developing secure and maintainable code. The C programming language and scripting languages like Perl and HTML are highlighted as particularly relevant for security work.
This document introduces variables and constants in C++. It discusses:
- Declaring memory locations to store variables and constants using data types and names.
- Variables store values that can change, while constants cannot change.
- Names should be descriptive yet concise, and follow specific formatting rules.
- The example problem from earlier is revisited to identify the specific memory locations needed to store its input, processing, and output items as variables.
The document describes a Turing machine that adds two numbers represented in unary notation. It provides the state transition diagram for the Turing machine, which starts with the two unary inputs separated by a symbol. It transitions between states, writing symbols and moving the tape head left or right until it reaches the final state, leaving the sum of the two numbers in unary notation on the tape.
Presentation of the learning game "Kill it or grow it".
http://vbn.aau.dk/en/publications/kill-it-or-grow-it(a2a13900-a0de-462a-ada2-29f8c8c0f68c).html
The document discusses code generation which involves mapping intermediate code to machine code. It describes three key issues in code generator design: instruction selection which determines the best machine instructions to use, register allocation which assigns variables to registers, and evaluation order which determines the order of instructions. The document outlines three algorithms for code generation that involve partitioning code into basic blocks, performing intra-block optimizations, and code selection and assignment.
This document provides an overview of compilers, including their history, components, and construction. It discusses the need for compilers to translate high-level programming languages into machine-readable code. The key phases of a compiler are described as scanning, parsing, semantic analysis, intermediate code generation, optimization, and code generation. Compiler construction relies on tools like scanner and parser generators.
C is a widely used programming language that is easy to learn and can create efficient programs. It allows working with low-level activities and can be compiled on many platforms. A C program consists of preprocessor commands, functions, variables, statements, expressions, and comments. A basic "Hello World" program is presented that prints the message using a printf statement.
The document discusses code generation in compilers. It describes the main tasks of the code generator as instruction selection, register allocation and assignment, and instruction ordering. It then discusses various issues in designing a code generator such as the input and output formats, memory management, different instruction selection and register allocation approaches, and choice of evaluation order. The target machine used is a hypothetical machine with general purpose registers, different addressing modes, and fixed instruction costs. Examples of instruction selection and utilization of addressing modes are provided.
The document discusses the fifth step of the problem-solving process - desk-checking the program. This involves translating the algorithm instructions into a C++ program and then desk-checking the program using sample data to ensure it was coded correctly. Any errors found need to be fixed before moving to the sixth step of evaluating and running the program on a computer. The sixth step may reveal syntax errors from violating language rules or logic errors that are harder to find, requiring the use of debugging to locate and resolve issues in the program.
FYBBA(CA) Sem I
Subject- C Language
Unit -2 Managing I/O operations
Lecture By – Mr. Salunke Ravindra
Head, Department Computer Application,
Dada Patil Mahavidyalaya, Karjat
Lecture - https://youtu.be/pu9ryMfwUMw
The document discusses intermediate code generation in compilers. It describes how compilers generate an intermediate representation from the abstract syntax tree that is machine independent and allows for optimizations. One popular intermediate representation is three-address code, where each statement contains at most three operands. This code is then represented using structures like quadruples and triples to store the operator and operands for code generation and rearranging during optimizations. Static single assignment form is also covered, which assigns unique names to variables to facilitate optimizations.
The document discusses selection structures in C++ programming. It defines single-alternative and dual-alternative selection structures and explains how to represent them using pseudocode, flowcharts, and the if/else statement. It covers comparison operators that can be used in selection conditions like <, >, ==, and !=. An example program demonstrates how to use an if statement to swap two numeric values if the first is greater than the second.
This document discusses coding the algorithm into a program, which is the fourth step of the problem-solving process. It covers declaring variables, coding instructions, getting input from the keyboard using cin, displaying output to the screen using cout, arithmetic expressions and operators, type conversions, and assignment statements. Arithmetic assignment operators can abbreviate statements that contain an operator and assignment.
The document discusses instructions for the 8085 microprocessor. It provides examples of programs to subtract and add 8-bit numbers. The subtraction program subtracts two 8-bit numbers stored in memory and stores the 8-bit result in a third memory location. The addition program adds two 8-bit numbers stored in memory and stores the 16-bit result in two consecutive memory locations, with the least significant byte in the first location and most significant byte in the second. It also classifies the microprocessor's instruction set into groups such as data transfer, arithmetic, logical, branch, stack, I/O and machine control.
The document discusses issues in code generation by a compiler. It defines code generation as converting an intermediate representation into executable machine code. The code generator accesses symbol tables and performs multiple passes over intermediate forms. Key issues addressed include the input to the code generator, generating code for the target machine, memory management, instruction selection, register allocation, and optimization techniques like reordering independent instructions to improve efficiency.
This document discusses various techniques for optimizing computer code, including:
1. Local optimizations that improve performance within basic blocks, such as constant folding, propagation, and elimination of redundant computations.
2. Global optimizations that analyze control flow across basic blocks, such as common subexpression elimination.
3. Loop optimizations that improve performance of loops by removing invariant data and induction variables.
4. Machine-dependent optimizations like peephole optimizations that replace instructions with more efficient alternatives.
The goal of optimizations is to improve speed and efficiency while preserving program meaning and correctness. Optimizations can occur at multiple stages of development and compilation.
This document provides an introduction to assembly language programming fundamentals. It discusses machine languages and low-level languages. It also covers data representation and numbering systems. Key assembly language concepts like instructions format, directives, procedures, macros and input/output are described. Examples are given to illustrate variables, assignment, conditional jumps, loops and other common programming elements in assembly language.
The document discusses data types and memory locations in C++. It explains that memory locations have specific data types that determine what type of data can be stored. The main data types are bool, char, short, int, float, double, and string. It also discusses selecting an appropriate initial value when declaring a variable or constant, ensuring the value's type matches the location's type. Variables and constants are declared using statements that reserve memory and can optionally initialize the location.
The document discusses code optimization techniques in compilers. It covers the following key points:
1. Code optimization aims to improve code performance by replacing high-level constructs with more efficient low-level code while preserving program semantics. It occurs at various compiler phases like source code, intermediate code, and target code.
2. Common optimization techniques include constant folding, propagation, algebraic simplification, strength reduction, copy propagation, and dead code elimination. Control and data flow analysis are required to perform many optimizations.
3. Optimizations can be local within basic blocks, global across blocks, or inter-procedural across procedures. Representations like flow graphs, basic blocks, and DAGs are used to apply optimizations at
This document discusses runtime environments and storage allocation strategies. It covers:
- How procedure activations are represented at runtime using activation records, control stacks, and activation trees. Activation records store local variables, parameters, return values, and more.
- Different strategies for allocating storage at runtime, including static allocation where sizes are known at compile time, stack allocation for procedure activations and recursion, and heap allocation for dynamic memory.
- How names are bound to values at compile time through environments and at runtime through states. The scope and lifetime of bindings are also discussed.
- Issues related to mapping names to storage locations and values at runtime, including how assignments change the state but not the environment.
-
This chapter introduces programming and programming languages. It defines programs, programmers, and programming languages. Programs are step-by-step instructions for computers, programmers create these instructions, and programming languages allow communication between programmers and computers. Early languages included machine code using 1s and 0s and assembly languages using mnemonics. Modern languages are high-level languages that are easier for humans to read and write. All programs use control structures like sequence, selection, and repetition to determine program logic and flow.
The security professional's guide to programming - Eric VanderburgEric Vanderburg
The document discusses various computer programming concepts including branching, looping, testing, documentation, C programming language fundamentals, HTML, Perl, and object-oriented programming. It explains that writing clear comments, adopting good programming practices like pseudocode, and understanding different programming paradigms are important for developing secure and maintainable code. The C programming language and scripting languages like Perl and HTML are highlighted as particularly relevant for security work.
This document introduces variables and constants in C++. It discusses:
- Declaring memory locations to store variables and constants using data types and names.
- Variables store values that can change, while constants cannot change.
- Names should be descriptive yet concise, and follow specific formatting rules.
- The example problem from earlier is revisited to identify the specific memory locations needed to store its input, processing, and output items as variables.
The document describes a Turing machine that adds two numbers represented in unary notation. It provides the state transition diagram for the Turing machine, which starts with the two unary inputs separated by a symbol. It transitions between states, writing symbols and moving the tape head left or right until it reaches the final state, leaving the sum of the two numbers in unary notation on the tape.
Presentation of the learning game "Kill it or grow it".
http://vbn.aau.dk/en/publications/kill-it-or-grow-it(a2a13900-a0de-462a-ada2-29f8c8c0f68c).html
The document describes a tool called MusiCards that aims to teach music to children using tangible and bodily interaction. It is a redesign of computational cards (c-cards) that incorporates playing notes and spawning new cards. The cards can be used to represent musical sequences and instructions. Actions like playing notes are written on the cards and triggered when cards are reached. This allows children to learn music concepts through an active and physical gameplay experience involving movement, singing, and tracking a song's structure.
1. The document explores the idea of 1D games, which are games that take place in a single spatial dimension rather than 2D or 3D.
2. The authors created prototype 1D versions of games like Tetris and bubble shooter to experiment with how gameplay could work within the constraints of 1 dimension.
3. They analyzed how game elements like pieces and player actions could be mapped from 2D to 1D, finding that 1D games require innovative visualization approaches and force novel perspectives on gameplay.
4. The authors conclude that designing 1D games challenges conventional thinking and could provide a creative framework to generate new minimalist game concepts.
The document describes pseudocode for performing basic arithmetic operations like addition, subtraction, and multiplication. It uses conditional statements and loops to write values, move positions, and jump to labels that represent the different operations. Pseudocode for doubling a value is shown by having it loop and write the value twice.
The document discusses pedagogical patterns, which are teaching strategies and best practices that are shared among educators. It describes the Pedagogical Pattern Project started in 1996 to observe, classify, and document effective teaching strategies for computer science courses. Patterns are described using a template including their name, description, context, solution, and related patterns. Examples provided are the "Early Bird" pattern of teaching important concepts early and often, and the "Toolbox" pattern. The repository of pedagogical patterns continues to be available online for educators to browse, assess in different subjects, and use the idea of collecting best practices in their teaching and research.
The document describes the Prime Slaughter game, which was designed to teach mathematical concepts like prime numbers and factorization through play. It transposes abstract math ideas into a game where numbers are monsters that must be divided by swords representing their prime factors. A participatory workshop was held where kids interacted with the game and asked relevant math questions. Findings showed the game engaged players and supported learning as concepts became explicit through gameplay. The document concludes such games can effectively make abstract ideas concrete and allow playful exploration and experimentation to verify understanding.
Design games to learn (presented at ECGBL 2014)Andrea Valente
How can pupils alter digital games?
Is there another way, than simply teaching everybody programming?
We (me and Emanuela Marchetti) argue that there is a need for digital games that could be easy to alter by young learners. Unfortunately it was found that digital games do not enable children to express their creativity at full, in contrast with low-fidelity prototypes and non-digital toys (such as card or table top games). Therefore, we propose here a middle ground between digital and traditional table top games, so to grant children more freedom to express themselves, articulate their understanding and difficulties individually or socially; this approach is an alternative to the current trend of associating programming with digital creativity. In our preliminary study we transposed a digital game into a card game and observed students while shifting between playing and design thinking. Results from this study suggest that the notion of altering a digital game through a card-based transposition of the same game, could be used to create a new model for reprogramming existing games. The next step is to involve primary schools in more complete evaluations of our new game development approach.
This document discusses language processors and their fundamentals. It begins by explaining the semantic gap between how software is designed and implemented, and how language processors help bridge this gap. It then covers different types of language processors like translators, interpreters, and preprocessors. The key activities of language processors - analysis and synthesis - are explained. Analysis includes lexical, syntax and semantic analysis, while synthesis includes memory allocation and code generation. Language specifications using grammars and different binding times are also covered. Finally, common language processing development tools like LEX and YACC are introduced.
Esoft Metro Campus - Programming with C++
(Template - Virtusa Corporate)
Contents:
Overview of C++ Language
C++ Program Structure
C++ Basic Syntax
Primitive Built-in types in C++
Variable types
typedef Declarations
Enumerated Types
Variable Scope
Constants/Literals
Storage Classes
Operators
Control Constructs
Functions
Math Operations in C++
Arrays
Multi-dimensional Arrays
Strings
C++ Pointers
References
Date and Time
Structures
Basic Input / Output
Classes and Objects
Inheritance
Overloading
Polymorphism
Interfaces
Files and Streams
Exception Handling
Dynamic Memory
Namespaces
Templates
Preprocessor
Multithreading
The document provides an introduction to C programming, covering topics such as what a program is, programming languages, the history of C, and the development stages of a C program. It discusses the key components of a C program including preprocessing directives, the main function, and program layout. Examples are provided to illustrate C code structure and the use of variables, keywords, operators, input/output functions, and formatting output with printf.
Functional Programming in JavaScript & ESNextUnfold UI
Functional programming concepts and techniques in JavaScript are summarized. Key points include:
- Functional programming avoids mutations by performing computations through expressions.
- Pure functions always return the same output for a given input and have no side effects.
- Higher order functions, currying, composition, and functors are important functional programming tools.
- JavaScript supports functional programming through features like arrow functions, modules, and libraries.
- ECMAScript development follows a multi-stage process and is overseen by TC39 and ECMA.
This document discusses data structures and algorithms. It provides course objectives which include imparting concepts of data structures and algorithms, introducing searching and sorting techniques, and developing applications using suitable data structures. Course outcomes include understanding algorithm performance analysis, concepts of data structures, linear data structures, and identifying efficient data structure implementations. The document also covers algorithm basics, specifications, expressions, analysis techniques and asymptotic notations for analyzing algorithms.
Euclid's algorithm is a method for finding the greatest common divisor (GCD) of two numbers. It works by taking the remainder of dividing the larger number by the smaller number at each step, and repeating this process until the remainder is zero. The last non-zero remainder is the GCD. The key steps are: (1) Take the remainder of dividing the two input numbers; (2) Set the smaller number equal to the remainder, and repeat from step 1 until the remainder is zero.
This document provides an overview of key concepts in MATLAB including:
- MATLAB can be used as a powerful calculator or programming language. It has many built-in functions and the ability to define variables and scripts.
- Scripts allow storing and running sequences of MATLAB commands. Variables can be created and manipulated using basic arithmetic, element-wise, and matrix operations.
- Common variable types include numeric arrays and cell arrays. Variables are initialized without declaring type or size. Built-in functions help work with variables.
- Key concepts covered include scripts, variables, vectors, matrices, basic operations, and plotting. Examples are provided to demonstrate MATLAB basics.
This document provides an introduction and overview of PL/SQL blocks and functions in Oracle. It discusses:
1) The structure of a PL/SQL block including the declarative, executable, and exception handling sections. PL/SQL blocks allow accessing and manipulating data in an Oracle database.
2) Built-in PL/SQL data types like numeric, character, and date types.
3) How to create PL/SQL functions using the CREATE FUNCTION syntax. Functions must return a value and can be used in SQL statements.
4) Examples of simple functions to calculate the area of a circle and return an employee name from a table.
5) Using %TYPE and %ROWTYPE attributes to declare
Assemblers Elements of Assembly Language Programming, Design of the Assembler, Assembler Design Criteria, Types of Assemblers, Two-Pass Assemblers, One-Pass Assemblers, Single pass Assembler for Intel x86 , Algorithm of Single Pass Assembler, Multi-Pass Assemblers, Advanced Assembly Process, Variants of Assemblers Design of two pass assembler
This document presents information on Polish notation and describes a program to evaluate arithmetic expressions in Polish notation. It includes an introduction to Polish notation and how it simplifies expressions by placing the operator before operands. The program uses arrays and structures as stacks to evaluate expressions in Polish notation by pushing and popping elements. It handles various cases like exponential, multiplication, division, addition and subtraction operations. The conclusion discusses how Polish notation simplifies complex expressions to make evaluation easier for compilers.
This document provides an overview of MATLAB for students in engineering fields. It introduces MATLAB as a tool for matrix calculations and numerical computing. It describes the MATLAB environment and commands for help, variables, matrices, logical operations, flow control, scripts and functions. It also covers image processing in MATLAB, including importing and displaying images, image data types, basic operations, and examples of blending and edge detection on images. Finally, it discusses performance issues and the importance of vectorizing code to avoid slow loops.
This document provides an introduction to the C programming language. It discusses the history and evolution of C, which was created by Dennis Ritchie in 1970 at Bell Labs for use in the UNIX operating system. The document outlines the basic structure and elements of C programs, including comments, preprocessor directives, declarations, functions, and logical blocks. It also covers various aspects of the C environment like compilers, basic data types, constants, variables, expressions, and statements.
This document provides an overview of memory management concepts in Java and C++, including pointers, the heap, stack, activation records, classes and objects. It discusses how objects are allocated in memory in both languages, with objects in Java being referenced by pointers on the stack and allocated on the heap, while in C++ objects can be allocated on the stack or heap. The document also covers issues like memory leaks in C++ if objects are not deleted from the heap, and garbage collection handling object deletion in Java. Methods and calling conventions are compared between the two languages.
This document provides information about the phases and objectives of a compiler design course. It discusses the following key points:
- The course aims to teach students about the various phases of a compiler like parsing, code generation, and optimization techniques.
- The outcomes include explaining the compilation process and building tools like lexical analyzers and parsers. Students should also be able to develop semantic analysis and code generators.
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Check out these exercises: http://de.slideshare.net/nicolayludwig/3-cpp-procedural-programmingexercises
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- Namespaces and separated Function Definitions
- A Glimpse of Separated Compilation and Translation Units
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Expression 1 is optional.
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Overview
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Key Topics Covered
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11. What is a Jupyter Notebook?
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12. Jupyter Notebooks with Code Examples
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Project Management Semester Long Project - Acuityjpupo2018
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1. WHILE interpreter
How to quiclky implement a flexible
OO interpreter
for an imperative programming language
(with code in Java)
Andrea Valente
aaue.dk/~av
2. Outline
1. The WHILE programming language:
• syntax and semantics
2. Demo and structure of the interpreter
• classes and attributes
• evaluation and step-by-step execution
3. The mapping
• map interpreter UML back to the grammar
• invert it -> map grammar (and info about steps) into UML!
4. What is missing? ... a parser
3. The WHILE language
It is possible to model a simple imperative programming language with only:
● Assignment - a := 3+2
● Sequence - statement1;statement2
● While loop – while a<b { statement }
(the if-then-else statement can be emulated using the while, so it is not fundamental)
Syntax
Stmt -> id := Expr | Stmt1;Stmt2 | while Cond Stmt
Expr -> id | number | Expr1 + Expr2 | …
C -> Expr1 < Expr2 | …
4. Semantics – an example
Example: a:=5; b:=0; while b<a b:=b+1
Execution is simulated using a set S, a store, that represent the memory.
Initial configuration: empty store, the whole program to execute
{} , a:=5; b:=0; while b<a b:=b+1
The first step is to evaluate the assignment a:=5, and add a to the store:
{ (a,5) } , b:=0; while b<a b:=b+1
Then we evaluate the assignment b:=0
{ (a,5) , (b,0) } , while b<a b:=b+1
5. To execute the while -> evaluate boolean condition using values in store:
● if it is false we stop,
● otherwise execute body, then try again to execute the whole while
In S={ (a,5) , (b,0) }, b<a is true, then we rewrite our program like this:
{ (a,5) , (b,0) } , b:=b+1; while b<a b:=b+1
Now evaluate assignment b:=b+1, and in current store b is 0, so b will became 1:
{ (a,5) , (b,1) } , while b<a b:=b+1
and we have to re-evaluate the while.
Go on until we reach this configuration:
{ (a,5) , (b,5) } , while b<a b:=b+1
where the value of b is 5.
At this point we stop, because the condition of the while is false in the current store, so:
{ (a,5) , (b,5) } , ε
The program terminates, and we can read the results in the store.
6. Outline
1. The WHILE programming language:
• syntax and semantics
2. Demo and structure of the interpreter
• classes and attributes
• evaluation and step-by-step execution
3. The mapping
• map interpreter UML back to the grammar
• invert it -> map grammar (and info about steps) into UML!
4. What is missing? ... a parser
8. Execution
● value eval(state)
● ASTNode step(state)
– reshapes the ASTree
9. Outline
1. The WHILE programming language:
• syntax and semantics
2. Demo and structure of the interpreter
• classes and attributes
• evaluation and step-by-step execution
3. The mapping
• map interpreter UML back to the grammar
• invert it -> map grammar (and info about steps) into UML!
4. What is missing? ... a parser
10. Map back
from classes to grammar
Rules:
class B extends A ---> A ::= B
class A{ ... i:I, j:J } ---> A ::= something I somethingelse J sometingmore
// look at toString and constructor to find syntax!
class A{ ... x:int} ---> A ::= NUMBER
External info: which symbol is the start symbol
11. Reconstructed grammar
STMT ::= SLIST | ASSIGN | WHILE | OUTPUT
COND ::= GREATER
EXPR ::= ID | NUMBER | ADD | SUB
SLIST ::= list<STMT>
ASSIGN ::= ID = EXPR
ID ::= _String_
...
12. Outline
1. The WHILE programming language:
• syntax and semantics
2. Demo and structure of the interpreter
• classes and attributes
• evaluation and step-by-step execution
3. The mapping
• map interpreter UML back to the grammar
• invert it -> map grammar (and info about steps) into UML!
4. What is missing? ... a parser
13. Parser
● The parser needs to be implemented separately
● Check out sableCC and tutorials
http://nat.truemesh.com/archives/000531.html
● Or build it manually
http://www.cs.luther.edu/~leekent/tutorials/ll1.html
● A nice animated demo of a recursive descent parser
http://ag-kastens.uni-paderborn.de/lehre/material/compiler/parsdem