This document provides an introduction to the Python programming language. It discusses that Python is an interpreted, interactive, object-oriented scripting language that is designed to be highly readable. The document outlines Python's history and key features, including being easy to learn and use, having a broad standard library, and being portable. It also discusses popular implementations of Python like CPython and how organizations like Google, Yahoo, and NASA use Python for applications such as bioinformatics, simulations, games, and networking.
Python is a basic term for the programming language which anyone can generally work. in this blog, you briefly learn about benefits & Advantages and disadvantages of python
this presentation will walk you through basic introduction to python, major features of python, how python runs on our system and some important commands used in python.
Why is Python emerging technology?
Python with DataSciences and Machine Learning is future.
Python can also be used with Electronics.
Python as Scripting Language
Python, the Language of Science and Engineering for EngineersBoey Pak Cheong
A talk given in November 2016 at IEM Malaysia to engineers, who are new to Python, a broad perspective of what Python is, why it is important to learn it and how it can help in solving/visualization of engineering and scientific tasks and problems.
Python is a basic term for the programming language which anyone can generally work. in this blog, you briefly learn about benefits & Advantages and disadvantages of python
this presentation will walk you through basic introduction to python, major features of python, how python runs on our system and some important commands used in python.
Why is Python emerging technology?
Python with DataSciences and Machine Learning is future.
Python can also be used with Electronics.
Python as Scripting Language
Python, the Language of Science and Engineering for EngineersBoey Pak Cheong
A talk given in November 2016 at IEM Malaysia to engineers, who are new to Python, a broad perspective of what Python is, why it is important to learn it and how it can help in solving/visualization of engineering and scientific tasks and problems.
This presentation educates you about Python and the reason for learning python, Key advantages of learning Python, Characteristics of Python, Hello World using Python syntax and Applications of Python.
For more topics stay tuned with Learnbay.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
A slightly modified version of original "An introduction to Python
for absolute beginners" slides. For credits please check the second page. I used this presentation for my school's internal Python course. thank you forviewing
WHY
WHERE
HOW
WHEN
WHO
FOR WHAT
Defining Data Science
• What Does a Data Science Professional Do?
• Data Science in Business
• Use Cases for Data Science
Introduction to python -easiest way to understand python for beginners
What is Python…?
Differences between programming and scripting language
Programming Paradigms
History of Python
Scope of Python
Why do people use Python?
Installing Python
Learn Python Programming | Python Programming - Step by Step | Python for Beg...Edureka!
( Python Training : https://www.edureka.co/python )
This Edureka “Python Programming" introduces you to Python by giving you enough reasons to learn it. It will then take you to its various fundamentals along with a practical demonstrating the various libraries such as Numpy, Pandas, Matplotlib and Seaborn. This video helps you to learn the below topics:
1. Why should you go for Python?
2. Introduction to Python Programming Language
3. How to work with Jupyter?
4. Python Programming Fundamentals: Operators & Data Types
5. Libraries: Numpy, Pandas, Matplotlib, Seaborn
Python tutorial for beginners - Tib academyTIB Academy
Get python training through simple tutorial from TIB Academy, through this python tutorial you can lean more topics of python. you can download python tutorial free as PPT
Python An Introduction, A presentation Developed by Swarit Wadhe. This Slide Will Give you basic information about python (Origin, Codes and difference from other languages).
I hope you'll find this helpfull and if you do please share it with your fellows.
This presentation educates you about Python and the reason for learning python, Key advantages of learning Python, Characteristics of Python, Hello World using Python syntax and Applications of Python.
For more topics stay tuned with Learnbay.
Python supports multiple programming paradigms, including object-oriented, imperative and functional programming or procedural styles. It features a dynamic type system and automatic memory management and has a large and comprehensive standard library.
A slightly modified version of original "An introduction to Python
for absolute beginners" slides. For credits please check the second page. I used this presentation for my school's internal Python course. thank you forviewing
WHY
WHERE
HOW
WHEN
WHO
FOR WHAT
Defining Data Science
• What Does a Data Science Professional Do?
• Data Science in Business
• Use Cases for Data Science
Introduction to python -easiest way to understand python for beginners
What is Python…?
Differences between programming and scripting language
Programming Paradigms
History of Python
Scope of Python
Why do people use Python?
Installing Python
Learn Python Programming | Python Programming - Step by Step | Python for Beg...Edureka!
( Python Training : https://www.edureka.co/python )
This Edureka “Python Programming" introduces you to Python by giving you enough reasons to learn it. It will then take you to its various fundamentals along with a practical demonstrating the various libraries such as Numpy, Pandas, Matplotlib and Seaborn. This video helps you to learn the below topics:
1. Why should you go for Python?
2. Introduction to Python Programming Language
3. How to work with Jupyter?
4. Python Programming Fundamentals: Operators & Data Types
5. Libraries: Numpy, Pandas, Matplotlib, Seaborn
Python tutorial for beginners - Tib academyTIB Academy
Get python training through simple tutorial from TIB Academy, through this python tutorial you can lean more topics of python. you can download python tutorial free as PPT
Python An Introduction, A presentation Developed by Swarit Wadhe. This Slide Will Give you basic information about python (Origin, Codes and difference from other languages).
I hope you'll find this helpfull and if you do please share it with your fellows.
Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected..
In this PPT I have described all about python like :- What is Python, History, Versions, Features, Advantages, Disadvantages, Career opportunities, Training and certifications.
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
We are the world’s largest and most established provider of training courses globally, with extensive experience of providing quality-infused learning solutions - with the capability to deliver over 30,000 courses, in 1000+ locations, across 190 countries. As market leaders, we have successfully trained over 1 million delegates - demonstrating our internationally-renowned trust and unrivalled premium quality, to all of our aspiring learners.
Welcome to our comprehensive Python tutorial, designed to take you on an exciting journey into the world of Python programming. Whether you are a complete beginner or an experienced developer looking to expand your skills, this tutorial is your gateway to mastering one of the most popular programming languages in the world.
In this tutorial, we'll start with the basics, exploring Python's syntax, data types, variables, and control structures. You'll learn how to write your first Python programs and understand the core concepts that form the foundation of the language.
As we progress, we'll dive deeper into advanced topics, such as functions, object-oriented programming, file handling, and modules. You'll discover how to harness the power of Python libraries and external modules to streamline your development process.
Throughout the tutorial, you'll have hands-on opportunities to practice your coding skills with practical examples and exercises. Our step-by-step approach ensures that you'll gain a strong grasp of Python's concepts, making it easier for you to build real-world applications and projects.
Python's versatility and readability make it ideal for a wide range of applications, from web development to data analysis, artificial intelligence, and automation. By the end of this tutorial, you'll have the confidence to tackle various projects and unleash the full potential of Python.
Get ready to embark on a rewarding journey of learning and exploration with our Python tutorial. Let's dive in and unlock the endless possibilities that Python has to offer!
For more Interesting Articles about programing.
www.random26blogs.com
Telecommunications networks like the Internet, intranets, and extranets have become essential to the successful operations of all types of organizations and their computer-based information systems
An entity relationship diagram (ERD) shows the relationships of entity sets stored in a database. An entity in this context is a component of data. In other words,
An activity diagram visually presents a series of actions or flow of control in a system similar to a flowchart or a data flow diagram. They can also describe the steps in a use case diagram.
Information systems analysis and requirements analysis produces a requirements specification. This specification states the project goal and the related data storage, data movement
The system development life cycle (SDLC) is a conceptual model used in project management that describes the stages involved in an information system development project, from an initial feasibility study, through maintenance of the complete application.
System as a combination of resources or functional units working together to accomplish a given task. The term "working together" in system definition is very important as all the components are interrelated and interdependent and cannot exist independently.
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
JMeter webinar - integration with InfluxDB and Grafana
Introduction to Python
1. Introdaction to Python
Dr. Mohammed Kassim Page 1
Introduction to Python
INTRODUCTION TO
OBJECT ORIENTED PROGRAMMING
BY PYTHON
TEACHER
DR. MOHAMMED KASSIM
2016
2. Introdaction to Python
Dr. Mohammed Kassim Page 2
Introduction to Python
What is Python?
Python is a high-level language programming, interpreted, interactive and object-
oriented scripting language. Python is designed to be highly readable. It uses
English keywords frequently where as other languages use punctuation, and it has
fewer syntactical constructions than other languages. Python is named after a TV
Show called ‘Monty Python’s Flying Circus’ and not after Python-the snake.
Python is Interpreted: Python is processed at runtime by the interpreter.
You do not need to compile your program before executing it. This is
similar to PERL and PHP.
An interpreter is a program that reads in as input a source program,
along with data for the program, and translates the source program
instruction by instruction. For example, the Java interpreter java
Figure 1.1. High and Low Level Language
3. Introdaction to Python
Dr. Mohammed Kassim Page 3
Introduction to Python
translate a .class file into code that can be executed natively on the
underlying machine.
A compiler is a special program that processes statements written in a
particular programming language and turns them into machine language
or "code" that a computer's processor uses. Typically, a programmer
writes language statements in a language such as Pascal or C one line at
a time using an editor .
Python is Interactive: You can actually sit at a Python prompt and interact
with the interpreter directly to write your programs.
Python is Object-Oriented: Python supports Object-Oriented style or
technique of programming that encapsulates code within objects.
Figure 2.1. Interpreter and Compiler
4. Introdaction to Python
Dr. Mohammed Kassim Page 4
Introduction to Python
Object-oriented programming (OOP) is a programming language
model organized around objects rather than "actions" and data rather
than logic. Historically, a program has been viewed as a logical
procedure that takes input data, processes it, and produces output data.
The object-oriented programming capabilities of the MATLAB®
language enable you to develop complex technical computing
applications faster than with other languages, such as C++, C#,
Python, PHP and Java.
History of Python
Python was developed by Guido van Rossum in the late eighties and
early nineties at the National Research Institute for Mathematics and
Computer Science in the Netherlands.
Python is derived from many other languages, including ABC, Modula-3, C, C++,
Algol-68, SmallTalk, and Unix shell and other scripting languages.
Figure 3.1. OOP features
5. Introdaction to Python
Dr. Mohammed Kassim Page 5
Introduction to Python
Python is copyrighted. Like Perl, Python source code is now available under the
GNU General Public License (GPL).
Python is now maintained by a core development team at the institute, although
Guido van Rossum still holds a vital role in directing its progress.
Python 1.0 was released in November 1994. In 2000, Python 2.0 was released.
Python 2.7.11 is the latest edition of Python 2.
Meanwhile, Python 3.0 was released in 2008. Python 3 is not backward
compatible with Python 2. The emphasis in Python 3 had been on the removal of
duplicate programming constructs and modules so that "There should be one --
and preferably only one -- obvious way to do it." Python 3.5.1 is the latest version
of Python 3
Python's features include:
Easy-to-learn: Python has few keywords, simple structure, and a clearly
defined syntax. This allows the student to pick up the language quickly.
Easy-to-read: Python code is more clearly defined and visible to the eyes.
Easy-to-maintain: Python's source code is fairly easy-to-maintain.
A broad standard library: Python's bulk of the library is very portable and
cross-platform compatible on UNIX, Windows, and Macintosh.
Interactive Mode: Python has support for an interactive mode which
allows interactive testing and debugging of snippets of code.
Portable: Python can run on a wide variety of hardware platforms and has
the same interface on all platforms.
6. Introdaction to Python
Dr. Mohammed Kassim Page 6
Introduction to Python
Extendable: You can add low-level modules to the Python interpreter.
These modules enable programmers to add to or customize their tools to be
more efficient.
Databases: Python provides interfaces to all major commercial databases.
GUI Programming: Python supports GUI applications that can be created
and ported to many system calls, libraries and windows systems, such as
Windows MFC, Macintosh, and the X Window system of Unix.
Scalable: Python provides a better structure and support for large programs
than shell scripting.
Implementations of Python
CPython
Main reference implementation
With large libraries written in C & Python
Support by almost every OS
o Windows
o Linux
o Mac OS X
o Apple iOS
o Android
7. Introdaction to Python
Dr. Mohammed Kassim Page 7
Introduction to Python
PyPy
o Alternate general implementation
o Better memory usage
o Compatible with popular libraries
Jython
o Written in Java and Can use Java class and modules
o Include most of the python standard library
o Brings Java to Python
IronPython
o written entirely in C#
o Employ .NET framework
o First Developed by Microsoft
o Brings .NET classes into Python
Cython
o Can use C/C++ modules & function inside python
o written in Python
o Brings C/C++ into Python.
8. Introdaction to Python
Dr. Mohammed Kassim Page 8
Introduction to Python
Organizational Use Python
In Google
o YouTube
o Gmail (+java)
o Google Groups
o Google Maps
o Parts of Search Engine
In Yahoo
o Yahoo Groups
o Yahoo Maps
In NASA
o Speed up Coding Process
o Make Designing Workflow Easier
Applications by Python
• Bioinformatics
o AstraZeneca (Drug Discovery)
• GIS and Mapping
o The Blind Audio Tactile mapping System
• Simulation
o Carmanah Lights the Way
9. Introdaction to Python
Dr. Mohammed Kassim Page 9
Introduction to Python
Games
o Civilization IV
o Battlefield
Networks and communication
o Bit Torrent
o D-Link Australia
o Mozilla Website
o Dropbox
Popular Coding Languages
Figure 4.1. Popular Coding Languages