This document provides an introduction to computer programming, covering topics such as hardware/software interfaces, computer languages, compilation, and interpretation. It describes the layered structure of a computer system from the machine level through operating systems and applications. Programming languages are discussed from machine language through assembly and high-level languages. The roles of compilers, linkers, and interpreters in translating between languages are summarized. Common programming errors like syntax, runtime, and logical errors are also briefly outlined.
Computer Science - Programming Languages / Translators
This presentation explains the different types of translators and languages of programming such as assembler, compiler, interpreter, bytecode
Computer Science - Programming Languages / Translators
This presentation explains the different types of translators and languages of programming such as assembler, compiler, interpreter, bytecode
COMPUTER PROGRAMMING
INTRODUCTION TO COMPUTER PROGRAMMING
1) Introduction to Computer Programming.
2) Computer, Hierarchy of Computer, Compiler.
3) Interpreter, High level language, Features of C language.
Program
Software
Compiler
Interpreter
Modular programming/Structured Programming
Non structured programming
Need of Programming language
Difference between structured and object oriented programming
Advantages of object oriented programming
THIS PPT CONTAINS THE DETAILS ABOUT THE VARIOUS LANGUAGE PROCESSORS/LANGUAGE TRANSLATORS- THE COMPILER & THE INTERPRETER, OPERATING SYSTEMS & ITS FUNCTION, PARALLEL & CLOUD COMPUTING
program is a set of instructions that tells a computer how to perform a task. programs are written by peoples called programmers. programmers write programs in special programming languages. there are different programming languages like C, C++, JAVA, COBOL, FORTRAN, PHP,VB, SQL,ORACLE etc
A computer languages are the languages by which a user command a computer to work on the algorithm which a user has written to get an output.
View it to know more about computer language !!!
COMPUTER PROGRAMMING
INTRODUCTION TO COMPUTER PROGRAMMING
1) Introduction to Computer Programming.
2) Computer, Hierarchy of Computer, Compiler.
3) Interpreter, High level language, Features of C language.
Program
Software
Compiler
Interpreter
Modular programming/Structured Programming
Non structured programming
Need of Programming language
Difference between structured and object oriented programming
Advantages of object oriented programming
THIS PPT CONTAINS THE DETAILS ABOUT THE VARIOUS LANGUAGE PROCESSORS/LANGUAGE TRANSLATORS- THE COMPILER & THE INTERPRETER, OPERATING SYSTEMS & ITS FUNCTION, PARALLEL & CLOUD COMPUTING
program is a set of instructions that tells a computer how to perform a task. programs are written by peoples called programmers. programmers write programs in special programming languages. there are different programming languages like C, C++, JAVA, COBOL, FORTRAN, PHP,VB, SQL,ORACLE etc
A computer languages are the languages by which a user command a computer to work on the algorithm which a user has written to get an output.
View it to know more about computer language !!!
Software is a set of programs, which is designed to perform a well-defined function. A program is a sequence of instructions written to solve a particular problem.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
2. Outline of Topics
• Hardware/Software interface
– Layers of the Machine
– Kinds of Software
• Computer Languages
• Syntax, Semantics, Grammars
• What happens to your program?
– Compilation, Linking, Execution
– Program errors
• Compilation vs. Interpretation etc.
3. Software Categories
• System SW
–Programs written for computer systems
• Compilers, operating systems, …
• Application SW
–Programs written for computer users
• Word-processors, spreadsheets, & other
application packages
4. A Layered View of the Computer
Machine with all its hardware
System Software
Compilers, Interpreters,Preprocessors,
etc.
Operating System, Device Drivers
Application Programs
Word-Processors, Spreadsheets,
Database Software, IDEs,
etc…
5. Operating System (OS)
Provides several essential services:
– Loading & running application programs
– Allocating memory & processor time
– Providing input & output facilities
– Managing files of information
6. Programs
• Programs are written in programming languages
– PL = programming language
– Pieces of the same program can be written in different
PLs
• Languages closer to the machine can be more efficient
• As long as they agree on how to communicate
• A PL is
– A special purpose and limited language
– A set of rules and symbols used to construct a
computer program
– A language used to interact with the computer
7. Computer Languages
• Machine Language
• Uses binary code
• Machine-dependent
• Not portable
• Assembly Language
– Uses mnemonics
– Machine-dependent
– Not usually portable
• High-Level Language (HLL)
– Uses English-like language
– Machine independent
– Portable (but must be compiled for different platforms)
– Examples: Pascal, C, C++, Java, Fortran, . . .
8. Machine Language
• The representation of a computer program which is
actually read and understood by the computer.
– A program in machine code consists of a sequence of machine
instructions.
• Instructions:
– Machine instructions are in binary code
– Instructions specify operations and memory cells involved in the
operation
Example: Operation Address
0010 0000 0000 0100
0100 0000 0000 0101
0011 0000 0000 0110
9.
10. Assembly Language
• A symbolic representation of the machine language of a
specific processor.
• Is converted to machine code by an assembler.
• Usually, each line of assembly code produces one
machine instruction (One-to-one correspondence).
• Programming in assembly language is slow and error-
prone but is more efficient in terms of hardware
performance.
• Mnemonic representation of the instructions and data
• Example:
Load Price
Add Tax
Store Cost
11.
12. High-level language
• A programming language which use statements
consisting of English-like keywords such as "FOR",
"PRINT" or “IF“, ... etc.
• Each statement corresponds to several machine
language instructions (one-to-many correspondence).
• Much easier to program than in assembly language.
• Data are referenced using descriptive names
• Operations can be described using familiar symbols
• Example:
Cost := Price + Tax
13.
14. Syntax & Semantics
• Syntax:
– The structure of strings in some language. A
language's syntax is described by a grammar.
– Examples:
• Binary number
<binary_number> = <bit> | <bit> <binary_number>
<bit> = 0 | 1
• Identifier
<identifier> = <letter> {<letter> | <digit> }
<letter> = a | b | . . . | z
<digit = 0 | 1 | . . . | 9
• Semantics:
– The meaning of the language
15. Compilers & Programs
• Compiler
– A program that converts another program from
some source language (or high-level
programming language / HLL) to machine
language (object code).
– Some compilers output assembly language
which is then converted to machine language by
a separate assembler.
– Is distinguished from an assembler by the fact
that each input statement, in general,
correspond to more than one machine
instruction.
16. Compilation into Assembly L
Compiler
Assembler
Source
Program
Assembly
Language
Assembly
Language
Machine
Language
17. Compilers & Programs
• Source program
– The form in which a computer program,
written in some formal programming
language, is written by the programmer.
– Can be compiled automatically into object
code or machine code or executed by an
interpreter.
– Pascal source programs have extension
‘.pas’
18. Compilers & Programs
• Object program
– Output from the compiler
– Equivalent machine language translation of the
source program
– Files usually have extension ‘.obj’
• Executable program
– Output from linker/loader
– Machine language program linked with necessary
libraries & other files
– Files usually have extension ‘.exe’
19. What is a Linker?
• A program that pulls other programs together so
that they can run.
• Most programs are very large and consist of
several modules.
• Even small programs use existing code provided
by the programming environment called
libraries.
• The linker pulls everything together, makes sure
that references to other parts of the program
(code) are resolved.
20. Running Programs
Memory
Input Data
Program Output
Machine language
program
(executable file)
Data entered
during execution
Computed results
C P U
• Steps that the computer goes through to run a
program:
21. Program Execution
• Steps taken by the CPU to run a program
(instructions are in machine language):
1. Fetch an instruction
2. Decode (interpret) the instruction
3. Retrieve data, if needed
4. Execute (perform) actual processing
5. Store the results, if needed
22. Program Errors
• Syntax Errors:
– Errors in grammar of the language
• Runtime error:
– When there are no syntax errors, but the program
can’t complete execution
• Divide by zero
• Invalid input data
• Logical errors:
– The program completes execution, but delivers
incorrect results
– Incorrect usage of parentheses
23.
24. Compilation
Compiler
Target Program
Source
Program
Target
Program
Input Output
• Compiler translates source into target (a machine
language program)
• Compiler goes away at execution time
• Compiler is itself a machine language program,
presumably created by compiling some other high-level
program
• Machine language, when written in a format understood
by the OS is object code
26. Compilation vs. Interpretation
• Compilation:
– Syntax errors caught before running the program
– Better performance
– Decisions made once, at compile time
• Interpretation:
– Better diagnostics (error messages)
– More flexibility
– Supports late binding (delaying decisions about
program implementation until runtime)
• Can better cope with PLs where type and size of
variables depend on input
– Supports creation/modification of program code on
the fly (e.g. Lisp, Prolog)
27. Mixture of C & I
Translator
Source
Program
Intermediate
Program
VM
Intermediate
Program
Input
Output
• Many programming languages implement this
• Interpreter implements a Virtual Machine (VM).