Robot Framework is a test automation framework that allows test cases to be written using keywords. It provides simple APIs to create custom test libraries and outputs test reports in XML format. Test suites are organized into files and directories and can be executed from the command line using options to control execution and output reporting. This generates log, report and XML output files containing the test results.
Network Protocol Testing Using Robot FrameworkPayal Jain
The slides describes how Robot Framework provides synergy in test automation, making a lot of
automation processes flexible and simple for testing network protocols(in this case BGP).
Video - http://www.youtube.com/watch?v=DTNejE9EraI
Code - https://gist.github.com/3386951
Pytest is a mature and comprehensive testing suite for Python projects, but it can be a little intimidating for newcomers. Where do these mysterious funcargs come from, how do parametrised tests work, and where are my xUnit-style setUp and tearDown methods?
Pytest lives by "convention over configuration" - which is great once you know what the conventions are. This talk will look at real examples of pytest in use, emphasising the features that differentiate it from nose.
Robot Framework is a generic test automation framework for acceptance and regression testing. It has easy-to-use tabular test data syntax and supports test automation using the keyword-driven testing approach. Tests are created using test cases composed of test data and keywords. Keywords are provided by test libraries that extend the functionality of the framework. Robot Framework can be installed on Windows using pip and supports creating and running tests from the command line or using the RIDE test data editor.
In this slide share, even Beginners can easily learn Robot Framework.
Robot framework is an automation testing framework used for Mobile App automation (can automate both Andriod and iOS) and Web Application automation.
This document discusses refactoring code to improve quality. It covers best practices like SOLID principles, code style standards, and algorithm complexity reductions. Integrated development environments, code review, continuous integration, logging aggregation, and profiling are presented as tools to help with refactoring. Specific tools that the author recommends and has experience with are also listed, like PhpStorm, GitHub, Jenkins, RSYSLOG, and Blackfire. Useful links and plugins are provided at the end.
Robot Framework is a keyword-based test automation framework suitable for acceptance testing. It requires Python 2.7, pip, Robot Framework, and various libraries like Selenium2 and Requests. The document provides instructions on installing these prerequisites and building sample bots to demonstrate localized and data-driven testing capabilities.
Robot Framework is a test automation framework that allows test cases to be written using keywords. It provides simple APIs to create custom test libraries and outputs test reports in XML format. Test suites are organized into files and directories and can be executed from the command line using options to control execution and output reporting. This generates log, report and XML output files containing the test results.
Network Protocol Testing Using Robot FrameworkPayal Jain
The slides describes how Robot Framework provides synergy in test automation, making a lot of
automation processes flexible and simple for testing network protocols(in this case BGP).
Video - http://www.youtube.com/watch?v=DTNejE9EraI
Code - https://gist.github.com/3386951
Pytest is a mature and comprehensive testing suite for Python projects, but it can be a little intimidating for newcomers. Where do these mysterious funcargs come from, how do parametrised tests work, and where are my xUnit-style setUp and tearDown methods?
Pytest lives by "convention over configuration" - which is great once you know what the conventions are. This talk will look at real examples of pytest in use, emphasising the features that differentiate it from nose.
Robot Framework is a generic test automation framework for acceptance and regression testing. It has easy-to-use tabular test data syntax and supports test automation using the keyword-driven testing approach. Tests are created using test cases composed of test data and keywords. Keywords are provided by test libraries that extend the functionality of the framework. Robot Framework can be installed on Windows using pip and supports creating and running tests from the command line or using the RIDE test data editor.
In this slide share, even Beginners can easily learn Robot Framework.
Robot framework is an automation testing framework used for Mobile App automation (can automate both Andriod and iOS) and Web Application automation.
This document discusses refactoring code to improve quality. It covers best practices like SOLID principles, code style standards, and algorithm complexity reductions. Integrated development environments, code review, continuous integration, logging aggregation, and profiling are presented as tools to help with refactoring. Specific tools that the author recommends and has experience with are also listed, like PhpStorm, GitHub, Jenkins, RSYSLOG, and Blackfire. Useful links and plugins are provided at the end.
Robot Framework is a keyword-based test automation framework suitable for acceptance testing. It requires Python 2.7, pip, Robot Framework, and various libraries like Selenium2 and Requests. The document provides instructions on installing these prerequisites and building sample bots to demonstrate localized and data-driven testing capabilities.
Robot Framework is a keyword-driven test automation framework for acceptance testing and acceptance test-driven development (ATDD). It has a simple tabular test data syntax that allows tests to be maintained without programming skills. Robot Framework supports different test styles including keyword-driven, data-driven, and behavior-driven. It is open source and can be extended through test libraries implemented using Python, Jython, IronPython, or any other language.
Robot Framework is a generic test automation framework for keyword-driven testing. It is implemented with Python and runs on Jython and IronPython as well. It supports test data driven development and has built-in support for reporting, logging, libraries, and integration with tools like Jenkins. The framework is open source and has an active community around it.
Youtube Link: https://youtu.be/d-KWz7euLlc
** Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka PPT on 'Robot Framework With Python' explains the various aspects of robot framework in python with a use case showing web testing using selenium library.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Brief introduction to Test Automation Frameworks, Acceptance Testing and ATTD using Testerone – custom made solution based on RobotFramework and it’s extensive libraries for Selenium’s and AutoIT’s support.
Bring the test cases closer to business people, leave the technical stuff to technical staff using simple business-to-tech excel sheet (map) for collaboration. Complete the solution by controlling everything using Jenkins CI server.
Acceptance Test Driven Development (ATDD) uses examples and tests to guide development. Robot Framework is an open source test automation framework that supports the ATDD process and approach. It uses a tabular syntax to define executable tests and keywords in a simple, readable format and has a rich ecosystem of support libraries and tools.
This talk is about why I believe having the ability to write tools and/or scripts can help elevate a Pen Testers game to the next level.
The talk is case study driven by the different scenarios I've encountered on assessments and the scripts or tools that have been developed as a result.
This document discusses using PyCharm Edu for learning Python. PyCharm is an IDE that provides tools for Python development including code completion, error highlighting, frameworks for web development, scientific tools, and cross-technology development. The document lists some common uses of Python like web programming, GUI development, scientific computing, and system administration. It also summarizes some key features of Python like being an interpreted, object-oriented language with dynamic semantics and high-level data structures that make it good for rapid application development. PyCharm Edu offers courses in Python basics, unit testing, and cryptography. The document promotes attending an upcoming meeting to learn about Kotlin.
Sonarqube is an open source platform for continuously inspecting code quality. It uses tools like Checkstyle, PMD and FindBugs to evaluate code. Sonarqube can be run locally or using Docker. The document provides instructions for installing Sonarqube on Docker and running a Maven project through the Sonarqube analysis to check code quality.
This document summarizes Robot Framework, an open source test automation framework that uses a tabular syntax for creating test cases. It supports keyword-driven, data-driven, and behavior-driven testing approaches. Robot Framework outputs easy-to-read logs and reports in HTML format and supports testing applications independently of platform or language. It also allows creating custom test libraries and has built-in support for Selenium web testing. The document provides examples of test cases and keywords written using Robot Framework's syntax.
This document summarizes steps for installing and configuring Jenkins for continuous integration of Python projects, including installing Jenkins, cloning a sample Python project, installing requirements, and listing some useful testing commands like pytest, pyflakes, and pep8.
Windows Offender: Reverse Engineering Windows Defender's Antivirus EmulatorPriyanka Aash
This Presentation is A deeply technical look at Windows Defender Antivirus’ binary emulator internals and reverse engineering it.
Speakers:
Alexei Bulazel, Security researcher at ForAllSecure, Firmware RE & cyber policy at River Loop, Security RPI / RPISEC alumnus
This document discusses code quality and the software analysis tool SonarQube. It begins with an introduction to the author and an overview of topics to be covered, including code quality principles, measuring quality, and technical debt. It then demonstrates how SonarQube can help development teams continuously measure and improve their code quality across seven key dimensions. The document concludes by emphasizing the importance of ongoing code quality management.
This is the talk given at NullCon 2017. This talk give s history of the Veil Framework, and showcases the differences between 2.0 and the newly released 3.0. Veil 3.0 is released in this talk
Slides from my beginner level talk on FRIDA and its usage while Pentesting Android Applications. Covers topics like Installation of Frida and Bypassing Pinning and Root Detection using Frida.
This document discusses Robot Framework and the Selenium2Library for automating web application testing. Robot Framework is a generic test automation framework that can be used with Selenium2Library to test browser behavior. The document outlines the requirements to use these tools, their benefits like being open source and human readable, and provides an example project structure and smoke test.
This document discusses target platforms in Eclipse and Tycho. It describes how target platforms were managed before and how the target platform concept was introduced to specify dependencies. It also covers editing and using target platforms in Eclipse and Maven builds, sharing target platforms, and some missing concepts like project-specific and compound target platforms. Performance techniques like aggregating repositories and using mirrors are presented. Related topics on sustainable repositories and linking to other repositories are also mentioned.
A Battle Against the Industry - Beating Antivirus for Meterpreter and MoreCTruncer
This talk goes over how stagers work in a different manner. Rather than standard function calls, I show how to utilize the same functionality in a slightly different way. It talks about Veil-Evasion, and a signature that was developed for it. Finally, I get into custom code and showcase three pieces of custom code that completely bypass antivirus.
SonarQube is an open source tool that can be used to automate code quality metrics through continuous inspection of codebases to identify issues, aggregate metrics across projects, and provide dashboards and reports. It supports multiple languages including C# and JavaScript, and can be integrated into continuous integration pipelines through plugins. Using SonarQube allows teams to focus QA efforts by prioritizing the most important issues, track improvements over time, and gain insights into code quality trends across an organization.
SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL
Robot Framework is a keyword-driven test automation framework for acceptance testing and acceptance test-driven development (ATDD). It has a simple tabular test data syntax that allows tests to be maintained without programming skills. Robot Framework supports different test styles including keyword-driven, data-driven, and behavior-driven. It is open source and can be extended through test libraries implemented using Python, Jython, IronPython, or any other language.
Robot Framework is a generic test automation framework for keyword-driven testing. It is implemented with Python and runs on Jython and IronPython as well. It supports test data driven development and has built-in support for reporting, logging, libraries, and integration with tools like Jenkins. The framework is open source and has an active community around it.
Youtube Link: https://youtu.be/d-KWz7euLlc
** Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka PPT on 'Robot Framework With Python' explains the various aspects of robot framework in python with a use case showing web testing using selenium library.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Brief introduction to Test Automation Frameworks, Acceptance Testing and ATTD using Testerone – custom made solution based on RobotFramework and it’s extensive libraries for Selenium’s and AutoIT’s support.
Bring the test cases closer to business people, leave the technical stuff to technical staff using simple business-to-tech excel sheet (map) for collaboration. Complete the solution by controlling everything using Jenkins CI server.
Acceptance Test Driven Development (ATDD) uses examples and tests to guide development. Robot Framework is an open source test automation framework that supports the ATDD process and approach. It uses a tabular syntax to define executable tests and keywords in a simple, readable format and has a rich ecosystem of support libraries and tools.
This talk is about why I believe having the ability to write tools and/or scripts can help elevate a Pen Testers game to the next level.
The talk is case study driven by the different scenarios I've encountered on assessments and the scripts or tools that have been developed as a result.
This document discusses using PyCharm Edu for learning Python. PyCharm is an IDE that provides tools for Python development including code completion, error highlighting, frameworks for web development, scientific tools, and cross-technology development. The document lists some common uses of Python like web programming, GUI development, scientific computing, and system administration. It also summarizes some key features of Python like being an interpreted, object-oriented language with dynamic semantics and high-level data structures that make it good for rapid application development. PyCharm Edu offers courses in Python basics, unit testing, and cryptography. The document promotes attending an upcoming meeting to learn about Kotlin.
Sonarqube is an open source platform for continuously inspecting code quality. It uses tools like Checkstyle, PMD and FindBugs to evaluate code. Sonarqube can be run locally or using Docker. The document provides instructions for installing Sonarqube on Docker and running a Maven project through the Sonarqube analysis to check code quality.
This document summarizes Robot Framework, an open source test automation framework that uses a tabular syntax for creating test cases. It supports keyword-driven, data-driven, and behavior-driven testing approaches. Robot Framework outputs easy-to-read logs and reports in HTML format and supports testing applications independently of platform or language. It also allows creating custom test libraries and has built-in support for Selenium web testing. The document provides examples of test cases and keywords written using Robot Framework's syntax.
This document summarizes steps for installing and configuring Jenkins for continuous integration of Python projects, including installing Jenkins, cloning a sample Python project, installing requirements, and listing some useful testing commands like pytest, pyflakes, and pep8.
Windows Offender: Reverse Engineering Windows Defender's Antivirus EmulatorPriyanka Aash
This Presentation is A deeply technical look at Windows Defender Antivirus’ binary emulator internals and reverse engineering it.
Speakers:
Alexei Bulazel, Security researcher at ForAllSecure, Firmware RE & cyber policy at River Loop, Security RPI / RPISEC alumnus
This document discusses code quality and the software analysis tool SonarQube. It begins with an introduction to the author and an overview of topics to be covered, including code quality principles, measuring quality, and technical debt. It then demonstrates how SonarQube can help development teams continuously measure and improve their code quality across seven key dimensions. The document concludes by emphasizing the importance of ongoing code quality management.
This is the talk given at NullCon 2017. This talk give s history of the Veil Framework, and showcases the differences between 2.0 and the newly released 3.0. Veil 3.0 is released in this talk
Slides from my beginner level talk on FRIDA and its usage while Pentesting Android Applications. Covers topics like Installation of Frida and Bypassing Pinning and Root Detection using Frida.
This document discusses Robot Framework and the Selenium2Library for automating web application testing. Robot Framework is a generic test automation framework that can be used with Selenium2Library to test browser behavior. The document outlines the requirements to use these tools, their benefits like being open source and human readable, and provides an example project structure and smoke test.
This document discusses target platforms in Eclipse and Tycho. It describes how target platforms were managed before and how the target platform concept was introduced to specify dependencies. It also covers editing and using target platforms in Eclipse and Maven builds, sharing target platforms, and some missing concepts like project-specific and compound target platforms. Performance techniques like aggregating repositories and using mirrors are presented. Related topics on sustainable repositories and linking to other repositories are also mentioned.
A Battle Against the Industry - Beating Antivirus for Meterpreter and MoreCTruncer
This talk goes over how stagers work in a different manner. Rather than standard function calls, I show how to utilize the same functionality in a slightly different way. It talks about Veil-Evasion, and a signature that was developed for it. Finally, I get into custom code and showcase three pieces of custom code that completely bypass antivirus.
SonarQube is an open source tool that can be used to automate code quality metrics through continuous inspection of codebases to identify issues, aggregate metrics across projects, and provide dashboards and reports. It supports multiple languages including C# and JavaScript, and can be integrated into continuous integration pipelines through plugins. Using SonarQube allows teams to focus QA efforts by prioritizing the most important issues, track improvements over time, and gain insights into code quality trends across an organization.
SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL SAMCSCMLA SCACLSALS CS L LSLSL
The New York Times: Sustainable Systems, Powered by PythonAll Things Open
The document discusses Python tools and techniques for building sustainable systems at the New York Times. It describes applications they build using a Python-based microservices framework called Photon for ingesting and managing photos. It then summarizes several Python packages they use for installation and running applications, ensuring code quality, adding features, providing resilient runtimes, and generating automated documentation.
Python Mastery: A Comprehensive Guide to Setting Up Your Development EnvironmentPython Devloper
**Module 1: Python Environment Setup Essentials**
Python, with its versatility and ease of use, has become a powerhouse in various domains, from web development to data science. Before diving into the fascinating world of Python programming, it's crucial to set up the right environment. This module serves as a comprehensive guide to ensure a seamless and efficient Python environment setup.
**1.1 Understanding Python Environments**
Python offers multiple environments to cater to diverse development needs. The choice between Python 2 and Python 3, as well as the decision between Anaconda and the standard Python distribution, depends on project requirements. This section provides a nuanced understanding of these options, enabling developers to make informed decisions.
**1.2 Installing Python**
The first step in setting up a Python environment is installing the interpreter. This module guides users through the installation process, whether on Windows, macOS, or Linux. It covers best practices, troubleshooting common installation issues, and ensuring a clean, stable Python installation.
**1.3 Virtual Environments**
Virtual environments are indispensable for managing dependencies and isolating project environments. This section explores the creation, activation, and deactivation of virtual environments using tools like `venv` or `virtualenv`. It emphasizes the importance of encapsulating project dependencies to avoid conflicts and ensure reproducibility.
**1.4 Package Management with pip**
The Python Package Index (PyPI) is a treasure trove of libraries and tools. Understanding how to use the `pip` package manager is crucial for installing, upgrading, and managing project dependencies. This section delves into pip commands, requirement files, and strategies for version management to maintain a stable and consistent development environment.
**1.5 Integrated Development Environments (IDEs)**
Choosing the right IDE can significantly enhance productivity. This module explores popular Python IDEs like PyCharm, VSCode, and Jupyter Notebooks. It covers installation, basic configuration, and features that cater to different development styles, whether it's web development, data science, or general-purpose coding.
**1.6 Version Control Integration**
Version control is a developer's best friend. This section demonstrates how to integrate Python projects with version control systems like Git. From initializing a repository to committing changes and collaborating with a team, developers learn essential version control practices to streamline their workflow.
**1.7 Configuration and Customization**
Tailoring the Python environment to individual preferences is an often-overlooked aspect of setup. This part of the module covers customizing the Python shell, configuring environment variables, and optimizing settings in IDEs. A personalized environment can significantly enhance the development experience.
**1.8 Troubleshooting and Common Pitfalls**
No s
Code Quality Control in a PHP project. GeekTalks, Cherkassy 2020Andrew Yatsenko
When one experienced and 5 junior developers are working on the project, the team leader can monitor the quality of the code manually, using the help of simple static analyzers like phpmd and phpcs.
In this report, we will consider what to do next, with the growth of the team, when there are too many people for manual control, the teams already consist of strong developers. Approaches, methods of automation tools that we use on the open-source B2B eCommerce platform to control the quality of the code.
In this slides, the author demonstrates many software development practices in Python. Including: runtime environment setup, source code management, version control, unit test, coding convention, code duplication, documentation and automation.
Some infomation about PhpStorm and IntelliJ development on the plugins: Symfony2 Plugin, Annotation, Shopware, Laravel and Drupal. Also some extension points analysis of IntelliJ and PhpStorm
-------------
SymfonyLive Berlin 2014
The document provides information about the Certified Python Professional certification from Vskills. It outlines the topics covered in the certification like Python basics, OOP concepts, modules, data structures, functions etc. It also includes details about test duration, number of questions, passing criteria and fees. The certification is suitable for professionals, graduates and existing employees to advance their career in Python development.
This tutorial provides an introduction to the Python programming language. It will cover Python's core features like syntax, data types, operators, conditional and loop execution, functions, modules and packages to enable writing basic programs. The tutorial is intended for learners to learn Python together through questions, discussions and pointing out mistakes.
This document provides an introduction to the Python programming language. It discusses what Python is, why it was created, its basic features and uses. Python is an interpreted, object-oriented programming language that is designed to be readable. It can be used for tasks such as web development, scientific computing, and scripting. The document also covers Python basics like variables, data types, operators, and input/output functions. It provides examples of Python code and discusses best practices for writing and running Python programs.
- Python is a programming language created by Guido van Rossum in 1991. It has two major versions: Python 2.0 released in 2000 and Python 3.0 released in 2008. Python 3.0 is the latest version and is not completely backward compatible with Python 2.0.
- Python is used for machine learning, data science, web development, game development, and more. Popular frameworks include TensorFlow, Pandas, Django, and PyGame.
- The document discusses installing Python, different integrated development environments (IDEs) like PyCharm and Visual Studio Code, and covers basic Python concepts like data types, variables, operators, and more.
Возможности интерпретатора Python в NX-OSCisco Russia
The document discusses a webinar presented by Cisco TAC Engineer Anton Tugai about the capabilities of the Python interpreter in NX-OS. Some key points:
- Tugai gave a presentation on trends in Cisco SDN and current solutions.
- The webinar covered an introduction to Python, how Python is integrated into NX-OS, examples, and a demonstration.
- Native Python interpreter is available on Nexus switches starting from certain software versions, allowing Python scripts to run directly on the switch and execute CLI commands.
This document provides an overview of Python programming. It discusses that Python is an interpreter-based language. It outlines the steps to install Python and create a virtual environment. It then covers basic Python syntax like print statements, accepting user input, comments, and variable naming rules. The document ends with prompting the user to write a simple code to take input and print the value.
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
Pipeline as code for your infrastructure as CodeKris Buytaert
This document discusses infrastructure as code (IAC) and continuous delivery pipelines. It introduces Puppet as an open-source configuration management tool for defining infrastructure as code. It emphasizes treating infrastructure configuration like code by versioning it, testing it, and promoting changes through environments like development, test, and production. The document also discusses using Jenkins for continuous integration to test application and infrastructure code changes and building automated pipelines for packaging and deploying changes.
This document discusses tools for Magento programmers, including text editors, IDEs, and other development tools. It recommends Visual Studio Code as a free and feature-rich IDE, noting important extensions like PHP Intelephense, PHP Debug, and Code Sniffer. PHPStorm is also mentioned as a popular commercial IDE for Magento. The document provides information on database tools like DBeaver and MySQL Workbench and emphasizes the importance of tools for writing optimized, standard, and secure code.
Introduction to Python Basics ProgrammingRaveendra R
Open source general-purpose. Multiplatform programming language
Object Oriented, Procedural, Functional
Easy to interface with C/ObjC/Java/Fortran
Easy to interface with C++ (via SWIG)
Great interactive environment
Python 'philosophy' emphasis readability, clarity and simplicity
The Interactive Interpreter
it is very easy to learn and understand.
It is extensible, you can easily plug new modules in your Python installation and extend its functionality
Similar to Complete python toolbox for modern developers (20)
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Flutter is a popular open source, cross-platform framework developed by Google. In this webinar we'll explore Flutter and its architecture, delve into the Flutter Embedder and Flutter’s Dart language, discover how to leverage Flutter for embedded device development, learn about Automotive Grade Linux (AGL) and its consortium and understand the rationale behind AGL's choice of Flutter for next-gen IVI systems. Don’t miss this opportunity to discover whether Flutter is right for your project.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
What is Master Data Management by PiLog Groupaymanquadri279
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Revolutionizing Visual Effects Mastering AI Face Swaps.pdfUndress Baby
The quest for the best AI face swap solution is marked by an amalgamation of technological prowess and artistic finesse, where cutting-edge algorithms seamlessly replace faces in images or videos with striking realism. Leveraging advanced deep learning techniques, the best AI face swap tools meticulously analyze facial features, lighting conditions, and expressions to execute flawless transformations, ensuring natural-looking results that blur the line between reality and illusion, captivating users with their ingenuity and sophistication.
Web:- https://undressbaby.com/
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
2. About me
● Tech lead and co-founder typless.com
● Author at testdriven.io
● Twitter: @jangiacomelli
3. Python development
● creating and re-creating virtual environments
● installing, uninstalling, and updating dependencies
● type checking
● writing and running tests
● following consistent code style
● avoiding security vulnerabilities
● documenting code
4. Modern Python Environments - pyenv
Lets you easily switch between multiple versions of Python.
● Install specific Python version: $ pyenv install 3.8.5
● List available Python versions: $ pyenv versions
5. Modern Python Environments - pyenv
● Select a specific version as a global default: $ pyenv global 3.8.5
● Select a specific version for the current project: $ pyenv local 3.9.0
6. Modern Python Environments - pip + venv
Fairly simple to use. Pre-installed with most versions of Python.
● Create virtual environment: $ python -m venv my_venv
● Activate virtual environment: $ source my_venv/bin/activate
● Install a dependency: (my_venv)$ python -m pip install <package-name>
● Create list of dependencies: (my_venv)$ python -m pip freeze > requirements.txt
8. Modern Python Environments - Poetry
Powerful CLI used for creating and managing Python projects.
● Create a new project: $ poetry new <project-name>
● Install a dependency: $ poetry add [--dev] <package name>
● Run a command inside the virtual environment: $ poetry run python -m pytest
● Dependencies are managed inside pyproject.toml
12. Which one to choose?
● pip + venv
● poetry
● pipenv
13. Python testing - pytest
Go-to testing framework for testing Python code.
Compared to unittest:
● less boilerplate code -> more readable test suites
● uses built-in assert statement -> more readable and easier to remember
● updated more frequently (not part of the Python standard library)
● simpler setting up and tearing down test state with its fixture system
● uses a functional approach
16. Python testing - pytest
Plugins:
● pytest-django - set of tools made specifically for testing Django applications
● pytest-xdist - run tests in parallel
● pytest-cov - adds code coverage support
● pytest-instafail - shows failures and errors immediately instead of waiting until the end of a run
17. Python testing - Mocking
Practice of replacing real objects with
mocked ones, which mimic their
behavior, at runtime.
19. Python testing - Code coverage
A metric that tells you the ratio between the
number of lines executed during test runs and
the total number of all lines in your code base.
pytest-cov - adds code coverage support
20. Code quality
Code is considered to be of high quality when:
● It serves its purpose
● Its behavior can be tested
● It follows a consistent style
● It's understandable
● It doesn't contain security vulnerabilities
● It's documented well
● It's easy to maintain
21. Code quality - linters
Linters flag programming errors, bugs, stylistic errors, and suspicious constructs through source code
analysis.
22. Code quality - flake8
Wrapper around Pyflakes, pycodestyle, and McCabe.
24. Code quality - formatters
Reformat your code based on a set of standards.
Code formatting is a dull job that should be performed by a computer.
● reduce merge conflicts
● easier to read code
● easier to find bugs
● easier to onboard new developers
25. Code quality - isort
Automatically separates imports into groups standard library, third-party, local, and alphabetically
orders them.
26. Code quality - black
Code formatter that's used to reformat your code based on the Black's code style guide.
28. Code quality - Security Vulnerability Scanners
Your code is only as secure as its weakest link.
29. Code quality - bandit
Tool designed to find common security issues in Python code.
● hardcoded password strings
● deserializing untrusted code
● using pass in except blocks
30. Code quality - safety
Used to check your installed dependencies for known security vulnerabilities against Safety database.
31. Type checking - type hints
Type hints allow developers to annotate expected types for variables, function parameters, and
function returns inside Python code.
● not enforced by the Python interpreter
● better express the intent
● autocomplete
● less bugs
37. Type checking - Marshmallow
Helps to validate complex data and load/dump data from/to native Python types.
● doesn't use type casting
● schema and class defined separately
39. Type checking - Typeguard
It enforces types while your program is running.
● typechecked decorator
● comes with pytest plugin
● for classes and functions
41. Documenting Python Code
Without proper documentation, it can be very difficult or impossible for internal and external
stakeholders to use and/or maintain your code.
● standalone resource
● should always be present
● how and when to use something
42. Documenting Python Code - Docstrings
A special "string literal that occurs as the first
statement in a module, function, class, or method
definition".
● __doc__ attribute of module/class/function
● multiline and single line
● different formats (Google, NumPy,
reStructuredText, Epytext)
● code examples (doctest)
46. Documenting Python Code - OpenAPI
Standard format for describing, producing,
consuming, and visualizing RESTful APIs.
● used for SwaggerUI and ReDoc
● can be imported to Postman
● can be used to generate SDKs
● can be auto-generated