PE1 Module 1.ppt
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This document provides an introduction to Python programming and computer programming concepts. It discusses what programming is, the difference between algorithms and programs, common programming languages and paradigms like structured programming, functional programming, and object-oriented programming. It then introduces Python as a high-level, general purpose, multi-paradigm programming language. The document explains how to install Python on Windows, Mac, and Linux systems and how to use the Python interpreter. It concludes with an example of a simple "Hello World" Python program.
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intro.pptx (1).pdf
Python is a general purpose programming language that can be used for both programming and scripting. It was created in the late 1980s by Guido van Rossum to address the limitations of other languages at the time. Python code is first compiled to bytecode, which is then executed by the Python Virtual Machine. It is an easy to use, powerful, and portable language employed by many major companies for web development, system administration, science, and more.
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- Demonstrating how to write Python programs in both interactive and script mode using basic constructs like print statements, variables, strings, numbers, comments and more.
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Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum who named it after the Monty Python comedy troupe. People use Python for a variety of tasks due to its readability, object-oriented capabilities, extensive libraries, and ability to integrate with other languages. To run Python code, it must first be compiled into bytecode which is then interpreted by the Python virtual machine.
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Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and first released in 1991. Python emphasizes code readability with its clean and straightforward syntax, making it an excellent choice for beginners and experienced developers alike.
Features of Python:
Simple and Easy to Learn: Python's syntax is designed to be intuitive and readable, making it easy for beginners to grasp.
Interpreted: Python code is executed line by line by the Python interpreter, which means you can run Python code without the need for compilation.
High-Level: Python abstracts low-level details, allowing developers to focus on solving problems rather than dealing with system-level intricacies.
Dynamic Typing: Python uses dynamic typing, meaning you don't need to declare variable types explicitly. Variables can dynamically change types during execution.
Multi-paradigm: Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
Extensive Standard Library: Python comes with a vast standard library that provides support for various tasks like file I/O, networking, and more, making it highly versatile.
Portability: Python is available on various platforms, including Windows, macOS, and Linux, making it highly portable.
Community and Ecosystem: Python has a large and active community, contributing to a rich ecosystem of libraries and frameworks for various domains, such as web development, data science, machine learning, and more.
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To get started with Python, you need to install it on your system. You can download Python from the official website python.org and follow the installation instructions for your operating system.
Hello, World! Example:
Let's start with the traditional "Hello, World!" program in Python:
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Python is a versatile programming language created by Guido van Rossum in 1989. It can be used for web applications, data analysis, artificial intelligence, and more. Python code is often more concise and readable than other languages like C++ and Java due to its simple syntax and dynamic typing. It is an interpreted, object-oriented language with a large standard library and strong support for multiple programming paradigms.
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Python is a high-level, interpreted programming language known for its simplicity and readability. It was created by Guido van Rossum and first released in 1991. Python emphasizes code readability with its clean and straightforward syntax, making it an excellent choice for beginners and experienced developers alike.
Features of Python:
Simple and Easy to Learn: Python's syntax is designed to be intuitive and readable, making it easy for beginners to grasp.
Interpreted: Python code is executed line by line by the Python interpreter, which means you can run Python code without the need for compilation.
High-Level: Python abstracts low-level details, allowing developers to focus on solving problems rather than dealing with system-level intricacies.
Dynamic Typing: Python uses dynamic typing, meaning you don't need to declare variable types explicitly. Variables can dynamically change types during execution.
Multi-paradigm: Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
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Game Development: Python is used in game development, both for writing game logic and scripting within game engines like Unity.
Installing Python:
To get started with Python, you need to install it on your system. You can download Python from the official website python.org and follow the installation instructions for your operating system.
Hello, World! Example:
Let's start with the traditional "Hello, World!" program in Python:
python
Copy code
print("Hello, World!")
This simple program prints "Hello, World!" to the console. It's a common starting point for learning any programming language.
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Differences between program and scripting language
History of Python
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This document provides an introduction to creating a simple calculator application using Python. It discusses that Python is a popular programming language used for web development, software development, mathematics, and system scripting. It then describes that the project will create a graphical user interface (GUI) calculator application using Python and the Tkinter library. Tkinter provides an object-oriented interface to create GUI applications in Python. The document outlines the system requirements, tools and technologies used, and includes a use case diagram for the calculator application.
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This document provides an introduction to Python programming, including:
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- It focuses on code readability and allows programmers to do coding in fewer steps than languages like Java or C++.
- Popular uses of Python include backend web development, data analysis, artificial intelligence, and scientific computing.
- Key advantages that make Python popular include being easy to learn and use, having a large standard library, and supporting multiple programming paradigms.
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This document provides an introduction to Python fundamentals, including its basic elements and syntax. It discusses the key components needed to write Python programs, such as variables, identifiers, keywords, datatypes, input/output, comments, constants, and operators. Variables are used to store data values, identifiers name variables, and keywords are reserved words that cannot be used as identifiers. There are built-in datatypes like integers, floats, Booleans and strings. The document also covers basic operators for manipulating data and performing comparisons.
Chapter -6- Ethics and Professionalism of ET (2).pptx
The document outlines some of the ethical issues arising from emerging technologies such as artificial intelligence, big data, and the internet of things. It discusses how technologies can both promote and restrict human rights, and how legal and regulatory frameworks have struggled to keep pace with digital transformation. Some specific challenges mentioned include potential discrimination from algorithmic decision-making, loss of jobs to automation, and new privacy and security risks from mass connectivity and data collection. The document stresses the importance of considering ethics early in technology development to help ensure technologies are developed and applied responsibly and for the benefit of all.
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This document discusses augmented reality (AR), virtual reality (VR), and mixed reality (MR). It defines each term and distinguishes the key differences. AR overlays digital content on the real world, VR fully immerses users in virtual environments, and MR merges real and virtual worlds. The document also covers AR architectures, applications in education, medicine, and entertainment, and provides examples of AR, VR, and MR systems and devices.
Chapter 8.ppt
This document discusses requirement engineering best practices and tools. It covers emerging trends in requirement engineering like globalization, scale, dynamic requirements, and requirement reuse. Some best practices discussed are iterative development, controlling changes, and verifying quality. Iterative development addresses risks early and encourages user feedback. Controlling changes is important when multiple teams are working in parallel. Verifying quality through testing exposes issues early. Finally, the document provides a link to browse requirement management tools.
chapter7.ppt
This document outlines lecture 7 on consistency and replication in distributed systems. It discusses reasons for replication, issues that arise, different models of consistency including data-centric, client-centric and eventual consistency. It also covers topics like replica management, placement and protocols. The goal is to explain challenges in maintaining consistency across replicas and different approaches to addressing this.
chapter6.ppt
The document is a lecture on synchronization in distributed systems. It discusses the importance of synchronization and issues that arise in synchronization. Specific topics covered include clock synchronization using physical clocks and logical clocks, happens-before relationships, Lamport's logical clocks, vector clocks, mutual exclusion algorithms, election algorithms, the bully algorithm, and superpeer selection.
chapter5.ppt
This document outlines a lecture on naming in distributed systems. It discusses naming entities, addresses, identifiers, and different approaches to flat and structured naming like home-based, distributed hash tables, and hierarchical location services. Name spaces, resolution, and implementation are examined. The Domain Name System (DNS) and attribute-based naming using the X.500 directory service are also covered. The lecture concludes with a summary of the naming techniques and concepts presented.
chapter4.ppt
The document summarizes a lecture on communication in distributed systems. It discusses layered communication protocols, types of communication including remote procedure calls, message-oriented communication, stream-oriented communication, and multicast communication. The lecture covers topics like basic RPC operation, parameter passing in RPCs, transient and persistent messaging models, support for continuous media with streams, and quality of service guarantees for streams.
chapter3.ppt
This document is a lecture on processes in distributed systems. It discusses threads, clients, servers, and code migration. Specifically, it covers the implementation of threads, how threads are used in distributed systems, how clients interface with distributed applications and achieve transparency, how servers are organized and communicate, how server clusters work, and different approaches to migrating code between systems, resources, and heterogeneous environments.
chapter2.ppt
This document outlines a lecture on distributed systems architecture. It discusses architectural styles including layered, object-based, event-based, and data-centered. It also covers system architectures such as centralized, decentralized, and hybrid. The goal is to introduce different approaches to structuring distributed systems and classify them based on architectural patterns.
chapter1.ppt
This lecture introduces distributed systems, defining them and providing examples. It outlines the goals of distributed systems including transparency, scalability, and openness. It discusses techniques for scaling distributed systems like hiding communication latencies, asynchronous communication, distribution, replication, and caching. Finally, it summarizes the key topics covered in the lecture.
Ch 1-Non-functional Requirements.ppt
This document discusses non-functional requirements (NFRs) including definitions, classifications, and examples. It describes how NFRs define overall system qualities and constraints. Common NFR classifications include product requirements, organizational requirements, and external requirements. Examples of specific NFRs are provided like availability, reliability, usability, and maintainability. Conflicts can occur between NFRs that must be addressed. The document provides an overview of approaches to defining, analyzing, and testing NFRs.
Ch 6 - Requirement Management.pptx
This document discusses requirement management and outlines several key activities:
1. It distinguishes between stable and volatile requirements and different types of volatile requirements.
2. It describes requirements management activities like change control, version control, and requirements tracing.
3. It emphasizes that requirement management is an ongoing process that involves identifying, storing, and tracking changes to requirements throughout the project life cycle.
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PE1 Module 1.ppt
- 1. Jimma University Cisco Academy PE1 Module 1 Introduction to Python and Computer Programming
- 2. 2
- 4. 4 What is Programming? Programming is a way to “instruct the computer to perform various tasks”. Programming is the process of giving machines a set of instructions that describe how a program should be carried out.
- 6. 6 Programming Language A programming language is a methodological approach to implement a certain algorithm through the means of the computer. An algorithm is a procedure used for solving a problem.
- 13. 13 What is Python? Python is High-level programing language.
- 14. 14 Python is General Purpose
- 19. 19 Python is Dynamically Typed
- 20. 20 History Created in 1991 by Guido van Rossum (now at Google) Named for Monty Python
- 21. 21 Why Python?
- 22. 22 Installing Python Windows: Download Python from http://www.python.org Install Python. Run Idle from the Start Menu. Mac OS : Python is already installed. Open a terminal and run python or run Idle from Finder. Linux: Chances are you already have Python installed. To check, run python from the terminal. If not, install from your distribution's package system. Note: For step by step installation instructions, see the python org web site.
- 23. 23 The Python Interpreter Allows you to type commands one-at-a-time and see results A great way to explore Python's syntax Repeat previous command: Alt+P
- 24. 24 Our First Python Program Python does not have a main method like Java The program's main code is just written directly in the file Python statements do not end with semicolons hello.py 1 print("Hello, world!")
- 25. 25 Summary