Are you still looking for the best ever comparison between C++ vs Python? If yes, then here we are offering the best ever comparison between C++ vs Python. Read the PDF till the end to find the winner of this battle.
Students get confused between Python vs C++; therefore, our experts explained these languages in a meaningful manner so that you can understand these languages easily.
Given on Tuesday, June 23, 2009 at the Greater Cleveland PC Users Group C#/VB.NET SIG. A very basic intro to Python given to a .NET crowd with the assumption of little to no Python experience.
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
Video at: http://www.develop.com/webcasts/watch/528febe6d588bf0a1c55306e/python-for-the-csharp-developer
If you love C# and .NET, you may be surprised to see how many of the features you love also exist in Python (often first). Python is a wonderful language. It is a clean high-level language which values readability over many trade-offs. You can build web applications serving billions of monthly page views. You can build cross-platform GUI applications such as DropBox. You can access amazingly powerful database servers such as MongoDB and SQL Server. But did you know many of the things you absolutely love about C# also exist in Python? Lambda expressions - check. foreach loops - check. Rich class library - check. Iterators - check. And there is more. Come learn about all the things you love from C# and see how they are accomplished in Python.
Are you still looking for the best ever comparison between C++ vs Python? If yes, then here we are offering the best ever comparison between C++ vs Python. Read the PDF till the end to find the winner of this battle.
Students get confused between Python vs C++; therefore, our experts explained these languages in a meaningful manner so that you can understand these languages easily.
Given on Tuesday, June 23, 2009 at the Greater Cleveland PC Users Group C#/VB.NET SIG. A very basic intro to Python given to a .NET crowd with the assumption of little to no Python experience.
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
Video at: http://www.develop.com/webcasts/watch/528febe6d588bf0a1c55306e/python-for-the-csharp-developer
If you love C# and .NET, you may be surprised to see how many of the features you love also exist in Python (often first). Python is a wonderful language. It is a clean high-level language which values readability over many trade-offs. You can build web applications serving billions of monthly page views. You can build cross-platform GUI applications such as DropBox. You can access amazingly powerful database servers such as MongoDB and SQL Server. But did you know many of the things you absolutely love about C# also exist in Python? Lambda expressions - check. foreach loops - check. Rich class library - check. Iterators - check. And there is more. Come learn about all the things you love from C# and see how they are accomplished in Python.
POWERED BY -- teachersduniya.com
This is the based on python programming language which is the very power full language . you can also learn whole about overview python.
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 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
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 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.
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.
Why is Python emerging technology?
Python with DataSciences and Machine Learning is future.
Python can also be used with Electronics.
Python as Scripting Language
POWERED BY -- teachersduniya.com
This is the based on python programming language which is the very power full language . you can also learn whole about overview python.
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 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
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 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.
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.
Why is Python emerging technology?
Python with DataSciences and Machine Learning is future.
Python can also be used with Electronics.
Python as Scripting Language
Melding the planets of Java and JavaScript, JavaPoly.js expands local Java Virtual Machine assistance to internet explorer via a collection offering as a polyfill.
Python is a high-level language programming, interpreted, interactive and object-oriented scripting language. Python is designed to be highly readable.
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
Introduction to Python
What is Python?
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.
Use Cases of Python:
Web Development: With frameworks like Django and Flask, Python is widely used for building web applications.
Data Science: Python's rich ecosystem of libraries such as NumPy, Pandas, and Matplotlib makes it a popular choice for data analysis and visualization.
Machine Learning and AI: Libraries like TensorFlow, PyTorch, and scikit-learn enable developers to build machine learning models and AI applications efficiently.
Scripting: Python's simplicity and versatility make it ideal for writing scripts for automation, system administration, and more.
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.
Best E-commerce Website, Wordpress, Python Development Company India, France, Canada, US. We provide Online Development Services, 2X Faster Delivery. Hire remote developers in india.
Migration of Applications to Python is the most prudent DecisionMindfire LLC
Python is one of the top 10 most popular programming languages of 2021, according to the latest PYPL Index. It’s a no-brainer that if you want your software to perform better in the long run- Python is the best choice. If you use a different language for your applications, you can consider moving your applications to Python.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
2. Python is an interpreted, object-oriented, high-level programming language with
dynamic semantics.
First released in 1990
Designed By: Guido van Rossum
Name came from a 1970s British television show : Reference: https://www.python.org/~guido
Monty Python’s Flying Circus
7. What is Python?
Multi Functional:
Simple procedural programming
Object-orientation
Functional programming
Computer Programming for everybody :
Portable: Different interpreters for many platforms: CPython, Jython, IronPython,
PyPy.
Open source, so anyone can contribute to its development
Code that is as understandable as plain English
Suitability for everyday tasks, allowing for short development times
Extensible: Reusable code using modules and packages
Easy to write new modules in ‘C’.
8. Comparison with other languages
Python code is typically 3-5 times shorter than equivalent Java code, it
is often 5-10 times shorter than equivalent C++ code!
Anecdotal evidence suggests that one Python programmer can finish in two
months what two C++ programmers can't complete in a year.
Python shines as a glue language, used to combine components written in
C++.
So, Python can increase productivity
Reference: https://www.python.org/doc/essays/comparisons/
9. Points to be noted
“Python is a scripting language"
False. Python has been used as a scripting language, but it is also used
to develop large stand-alone applications.
Python is interpreted, thus slower than running native code
True, But not always
Python can be used to `glue' together native modules.
Libraries (Numpy,Scipy etc.)are often very efficient.
Dynamic typing is unsafe.
Python is strongly typed and well behaved.
It can deal with type errors at runtime.
10. Use Cases/Applications
Application Development
Web Development
Scripting
Scientific Computing
Success Stories: https://www.python.org/about/success/
11. Use Cases/Applications
Google – Many components of search engine were written in Python
Yahoo - maps were developed using Python
RHEL – Installer developed using Python
NASA – Uses Python as the main scripting language
14. Python in Big Data & Data Science
http://www.kdnuggets.com/2015/05/r-vs-python-data-
science.html
15. Python- Pros and Cons
Pro: IPython Notebook or Jupyter
The IPython Notebook makes it easier to work with Python and data. You can
easily share notebooks with colleagues, without having them to install anything.
This drastically reduces the overhead of organizing code, output and notes
files. This will allow you to spend more time doing real work.
A general purpose language
Python is a general purpose language that is easy and intuitive. This gives it a
relatively flat learning curve, and it increases the speed at which you can write
a program. In short, you need less time to code and you have more time to play
around with it! Furthermore, the Python testing framework is a built-in, low-
barrier-to-entry testing framework that encourages good test coverage. This
guarantees your code is reusable and dependable.
16. Pros & Cons (Cont’d)…..
Pro :A multi purpose language
Python brings people with different backgrounds together. As a common,
easy to understand language that is known by programmers and that can
easily be learnt by statisticians, you can build a single tool that integrates
with every part of your workflow.
Pro/Con: Visualizations
Visualizations are an important criteria when choosing data analysis software.
Although Python has some nice visualization libraries, such as Seaborn,
Bokeh and Pygal, Matplotlib etc.
Con: Python is a challenger
Python is a challenger to R. It does not offer an alternative to the hundreds of
essential R packages, Although it‟s catching up.
17. Versions
Python2
Python2 – Very Stable (Python-2.7) – All may not support
Python3
Current Release – 3.5.1 (Released on 21-12-2015)
Some major changes and clean-ups
Not backward compatible (cannot execute 2.x code)
V3.6 - Ongoing development