An introductory guide to GIT
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Git is a distributed version control system that aims to provide speed, a simple design, strong support for non-linear development with thousands of parallel branches, and efficiency for large projects. It allows nearly every operation to be performed locally, with key operations including cloning a local copy of a remote repository, adding and committing files with commit messages, and pushing changes to the remote repository. Best practices for Git include checking for new changes before development, committing small non-breaking changes often with meaningful messages, using meaningful branch names, and configuring lifecycle hooks.
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Git overview
Git is a free and open-source distributed version control system created by Linus Torvalds in 2005. It allows tracking changes to files and coordinating work among teams of developers. GitHub is a web-based hosting service for Git repositories that offers both free and paid plans. Git uses a decentralized model with local repositories that can be synced and shared, supporting thousands of parallel branches. It provides commands for cloning repositories, tracking changes, committing updates, and merging branches.
Git strategies for DevOps
Source versioning is a core activity in software development and a foundation of DevSecOps automation. With technologies such as cloud infrastructure, build tools, CI tools, the move to declarative configuration and environments, source versioning is being used for more than just application code. We will discuss some of the strategies to use with source versioning in light of DevOps and automation principles.
Git in the Enterprise: How to succeed at DevOps using Git and a monorepo
Join GitLab VP of Product Job van der Voort and Perforce VP of Community Matt Attaway to hear lessons learned from their customers on how to succeed with DevOps using Git and a monorepo.
In this webinar we'll discuss:
- Approaches for managing teams and projects using Git
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Learn Git - For Beginners and Intermediate levels
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Git: a tool for wizards
Git is a version control system that allows developers to track changes to files over time. It provides benefits like being able to save older versions of files, review past changes, and revert to older versions. Git is a distributed version control system that is open source and designed for speed. It was created by Linus Torvalds to keep up with development of the Linux kernel. Git has advantages over other version control systems like Subversion (SVN) in being able to work offline and having faster performance and easier branching workflows. Basic Git commands and workflows can be used through the command line or graphical tools like Git GUI and SourceTree.
Intro to git and git hub
The document provides an introduction to Git and GitHub. It explains that Git is an open-source version control system created by Linus Torvalds, while GitHub is a hosting service for software development projects that uses Git for version control. The document outlines the agenda which includes explaining what a version control system is, demonstrating GitHub, and reviewing important Git commands.
Git and GitGHub Basics
Git & GitHub
Master Git & GitHub through a set of practical tutorials
You will be learning more about what is Git & GitHub and why are we using them?
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And get our hands dirty through a code-along session using Git in command-line
Contributing to open source using Git
This document discusses contributing to open source projects using Git. It explains that contributing can help gain programming experience and build a resume while giving back to the community. The overview outlines that contributors commit code to their local Git repository and then send those commits to the project's maintainers and community through patches or pull requests. It provides checklists for testing, coding style and commit messages before sending code. Specifically, it details Linux's strict coding style and two main models - patches sent via email and pull requests on sites like GitHub, outlining their workflows and lifecycles for review and merging code changes.
Recommended
Git overview
Git is a free and open-source distributed version control system created by Linus Torvalds in 2005. It allows tracking changes to files and coordinating work among teams of developers. GitHub is a web-based hosting service for Git repositories that offers both free and paid plans. Git uses a decentralized model with local repositories that can be synced and shared, supporting thousands of parallel branches. It provides commands for cloning repositories, tracking changes, committing updates, and merging branches.
Git strategies for DevOps
Source versioning is a core activity in software development and a foundation of DevSecOps automation. With technologies such as cloud infrastructure, build tools, CI tools, the move to declarative configuration and environments, source versioning is being used for more than just application code. We will discuss some of the strategies to use with source versioning in light of DevOps and automation principles.
Git in the Enterprise: How to succeed at DevOps using Git and a monorepo
Join GitLab VP of Product Job van der Voort and Perforce VP of Community Matt Attaway to hear lessons learned from their customers on how to succeed with DevOps using Git and a monorepo.
In this webinar we'll discuss:
- Approaches for managing teams and projects using Git
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Git: a tool for wizards
Git is a version control system that allows developers to track changes to files over time. It provides benefits like being able to save older versions of files, review past changes, and revert to older versions. Git is a distributed version control system that is open source and designed for speed. It was created by Linus Torvalds to keep up with development of the Linux kernel. Git has advantages over other version control systems like Subversion (SVN) in being able to work offline and having faster performance and easier branching workflows. Basic Git commands and workflows can be used through the command line or graphical tools like Git GUI and SourceTree.
Intro to git and git hub
The document provides an introduction to Git and GitHub. It explains that Git is an open-source version control system created by Linus Torvalds, while GitHub is a hosting service for software development projects that uses Git for version control. The document outlines the agenda which includes explaining what a version control system is, demonstrating GitHub, and reviewing important Git commands.
Git and GitGHub Basics
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Master Git & GitHub through a set of practical tutorials
You will be learning more about what is Git & GitHub and why are we using them?
We will also explore more about how Git stores information
And get our hands dirty through a code-along session using Git in command-line
Contributing to open source using Git
This document discusses contributing to open source projects using Git. It explains that contributing can help gain programming experience and build a resume while giving back to the community. The overview outlines that contributors commit code to their local Git repository and then send those commits to the project's maintainers and community through patches or pull requests. It provides checklists for testing, coding style and commit messages before sending code. Specifically, it details Linux's strict coding style and two main models - patches sent via email and pull requests on sites like GitHub, outlining their workflows and lifecycles for review and merging code changes.
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Git is a distributed version control system that was created by Linus Torvalds in 2005 to manage changes to files over time. It works by tracking changes made to files in a git repository and allowing users to commit snapshots of changes. The key git commands are git init to create a new repository, git clone to copy an existing one, git add to stage changes, git commit to commit staged changes, and git log to view the commit history. GitHub is a popular web-based hosting service for git repositories.
Git n git hub
Git is a version control system created by Linus Torvalds that allows developers to track changes to code. GitHub is a free online repository that hosts Git repositories and allows developers to share code and collaborate on projects remotely. GitHub also allows developers to showcase their work and share their code publicly, potentially helping with job applications by including a GitHub URL. Git uses snapshots of files, adding, committing, and pushing changes to track a project's evolution over time through simple commands like init, add, commit, push, clone, and branch.
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The document discusses CICD pipelines using GitOps architecture. It describes how GitOps allows for automated deployment to all environments from a single codebase, enhanced auditing of deployments by tracking changes in Git, and improved observability through monitoring for divergences between desired and actual infrastructure states. The architecture uses Git as the single source of truth for infrastructure configuration and deployment. Continuous integration pipelines build and push container images, while continuous delivery pipelines deploy configuration changes to Kubernetes clusters using a GitOps operator.
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This document provides an overview of Git, including definitions of distributed vs centralized version control, the staging area, basic Git commands, branches and tags, integrating feature branches, resolving conflicts, interactive rebasing, keeping history clean, additional tools like cherry-pick and blame, reflogs as a safety net, bisecting to find bugs, and customizing behavior with hooks. It also includes demonstrations of basics, branching strategies, and resolving conflicts.
Gerrit & Jenkins Workflow: An Integrated CI Demonstration
This document discusses integrating Gerrit code review with Jenkins automation using Docker containers. It presents a use case of mobile development where Gerrit is used for centralized source and code review, Jenkins for automation and integration, and Repo for cross-repository features. It then introduces using the Gerrit Trigger plugin and Jenkins Workflow together as of August 2015 to handle multiple parallel jobs more cleanly and with built-in concurrency and failure handling options. The demonstration is dockerized using images from Gerritforge and Jenkins to showcase the integration.
Git presentation
Git is a free and open source distributed version control system initially designed by Linus Torvalds for Linux kernel development. It allows multiple users to work together on projects simultaneously using the same files. Git provides benefits like enhanced collaboration and productivity, reduced errors, and traceability of changes. Key features of Git include branching, merging, and synchronizing with remote repositories. Common Git commands are used to initialize repositories, add/commit files, switch branches, clone repositories, and push/pull from remote servers.
Data science Git management
Git is a widely used version control system that allows tracking changes to files and code during software development. It provides features like branching, merging, and distributed collaboration. Data scientists can use Git and GitHub for version control, collaboration, and improving their personal branding by making their work public on GitHub. Key Git commands include git add to stage files, git commit to save changes locally, and git push to upload to a remote repository.
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Davinci git brown_bag
This document provides an overview of revision control systems like Git and GitHub. It discusses what revision control is, some early systems like SCCS and RCS, and then focuses on more modern distributed systems like SVN, Git, and Mercurial. For Git specifically, it covers features like non-linear development, easy branching and merging, auditing of history, and distributed development. It provides instructions for getting started with Git locally and also hosting projects on GitHub. Finally it advertises an additional hands-on training session for working through more examples.
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Git is a free and open source distributed version control system designed by Linus Torvalds in 2005 to handle everything from small to large projects with speed and efficiency. It allows for tracking changes to code, collaborative work, and reverting to previous versions of code. GitHub is a site for hosting Git repositories online that adds features like documentation, bug tracking, and code review via pull requests. Common Git commands include git init to initialize a repository, git add to stage changes, git commit to save changes to the project history, and git push to upload changes to a remote repository.
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Git enables a more agile development workflow than SVN by allowing developers to easily make commits, switch branches, and manage local changes. It is a distributed version control system that allows small commits on feature branches with easy testing before integrating changes. Resources for learning Git include its manual, Ruby gems for remote branch management, and Bash scripts for tab completion and shell prompts. Migrating a SVN codebase to GitHub can also be done through GitHub's SVN importing tool.
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Gn unify git
Git is a distributed version control system that allows developers to work simultaneously, prevents overwriting each other's changes, and maintains a history of every version. It uses a local repository that can be synced to remote repositories. The basic workflow involves modifying files in the working directory, staging changes, and committing to the local repository. Common commands are git init, git clone, git add, git commit, and git push. Branches allow isolated development and git merge combines changes.
Gitops: the kubernetes way
GitOps è un nuovo metodo di CD che utilizza Git come unica fonte di verità per le applicazioni e per l'infrastruttura (declarative infrastructure/infrastructure as code), fornendo sia il controllo delle revisioni che il controllo delle modifiche. In questo talk vedremo come implementare workflow di CI/CD Gitops basati su Kubernetes, dalla teoria alla pratica passando in rassegna i principali strumenti oggi a disposizione come ArgoCD, Flux (aka Gitops engine) e JenkinsX
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This document provides an introduction and overview of Git and GitHub for version control. It covers the basic functions and features of Git like tracking changes, branching, merging, and resolving conflicts. Instructions are given for installing Git, initializing and working with repositories locally, and connecting repositories to remote servers like GitHub. Key commands are explained for adding, committing, viewing history and status, switching branches, merging, pushing and pulling to remotes. Additional tips provided include committing often, branching as needed, and writing clear commit messages.
Git presentation
Git is an open source version control system that allows tracking changes to files and coordinating work on projects between multiple people. It features repositories to store project files, issues to track tasks, pull requests to review changes, and gists for sharing code snippets. Version control records changes made over time to files so that specific versions can be retrieved, and Git is commonly used by developers and companies to collaborate on software projects.
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Git is a distributed version control system that was created by Linus Torvalds in 2005 to manage changes to files over time. It works by tracking changes made to files in a git repository and allowing users to commit snapshots of changes. The key git commands are git init to create a new repository, git clone to copy an existing one, git add to stage changes, git commit to commit staged changes, and git log to view the commit history. GitHub is a popular web-based hosting service for git repositories.
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Git is a version control system created by Linus Torvalds that allows developers to track changes to code. GitHub is a free online repository that hosts Git repositories and allows developers to share code and collaborate on projects remotely. GitHub also allows developers to showcase their work and share their code publicly, potentially helping with job applications by including a GitHub URL. Git uses snapshots of files, adding, committing, and pushing changes to track a project's evolution over time through simple commands like init, add, commit, push, clone, and branch.
CICD pipelines with GitOps
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Gerrit & Jenkins Workflow: An Integrated CI Demonstration
This document discusses integrating Gerrit code review with Jenkins automation using Docker containers. It presents a use case of mobile development where Gerrit is used for centralized source and code review, Jenkins for automation and integration, and Repo for cross-repository features. It then introduces using the Gerrit Trigger plugin and Jenkins Workflow together as of August 2015 to handle multiple parallel jobs more cleanly and with built-in concurrency and failure handling options. The demonstration is dockerized using images from Gerritforge and Jenkins to showcase the integration.
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Git is a free and open source distributed version control system initially designed by Linus Torvalds for Linux kernel development. It allows multiple users to work together on projects simultaneously using the same files. Git provides benefits like enhanced collaboration and productivity, reduced errors, and traceability of changes. Key features of Git include branching, merging, and synchronizing with remote repositories. Common Git commands are used to initialize repositories, add/commit files, switch branches, clone repositories, and push/pull from remote servers.
Data science Git management
Git is a widely used version control system that allows tracking changes to files and code during software development. It provides features like branching, merging, and distributed collaboration. Data scientists can use Git and GitHub for version control, collaboration, and improving their personal branding by making their work public on GitHub. Key Git commands include git add to stage files, git commit to save changes locally, and git push to upload to a remote repository.
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Davinci git brown_bag
This document provides an overview of revision control systems like Git and GitHub. It discusses what revision control is, some early systems like SCCS and RCS, and then focuses on more modern distributed systems like SVN, Git, and Mercurial. For Git specifically, it covers features like non-linear development, easy branching and merging, auditing of history, and distributed development. It provides instructions for getting started with Git locally and also hosting projects on GitHub. Finally it advertises an additional hands-on training session for working through more examples.
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Git is a free and open source distributed version control system designed by Linus Torvalds in 2005 to handle everything from small to large projects with speed and efficiency. It allows for tracking changes to code, collaborative work, and reverting to previous versions of code. GitHub is a site for hosting Git repositories online that adds features like documentation, bug tracking, and code review via pull requests. Common Git commands include git init to initialize a repository, git add to stage changes, git commit to save changes to the project history, and git push to upload changes to a remote repository.
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Git enables a more agile development workflow than SVN by allowing developers to easily make commits, switch branches, and manage local changes. It is a distributed version control system that allows small commits on feature branches with easy testing before integrating changes. Resources for learning Git include its manual, Ruby gems for remote branch management, and Bash scripts for tab completion and shell prompts. Migrating a SVN codebase to GitHub can also be done through GitHub's SVN importing tool.
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Git is an open source distributed version control system that allows for branching, committing changes, and rolling back changes. It is distributed, so users can work offline and sync changes later. Users can initialize local repositories from existing remote ones using cloning. Basic commands include add, commit, log, checkout, merge, and rebase to manage branches and integrate changes.
Gn unify git
Git is a distributed version control system that allows developers to work simultaneously, prevents overwriting each other's changes, and maintains a history of every version. It uses a local repository that can be synced to remote repositories. The basic workflow involves modifying files in the working directory, staging changes, and committing to the local repository. Common commands are git init, git clone, git add, git commit, and git push. Branches allow isolated development and git merge combines changes.
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This document provides an introduction and overview of Git and GitHub for version control. It covers the basic functions and features of Git like tracking changes, branching, merging, and resolving conflicts. Instructions are given for installing Git, initializing and working with repositories locally, and connecting repositories to remote servers like GitHub. Key commands are explained for adding, committing, viewing history and status, switching branches, merging, pushing and pulling to remotes. Additional tips provided include committing often, branching as needed, and writing clear commit messages.
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Session: Git Basics & GitFlow Workflow
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- It discusses why version control is needed and describes local, centralized, and distributed version control systems such as Subversion and Git.
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3 Git
The Information Technology have led us into an era where the production, sharing and use of information are now part of everyday life and of which we are often unaware actors almost: it is now almost inevitable not leave a digital trail of many of the actions we do every day; for example, by digital content such as photos, videos, blog posts and everything that revolves around the social networks (Facebook and Twitter in particular). Added to this is that with the "internet of things", we see an increase in devices such as watches, bracelets, thermostats and many other items that are able to connect to the network and therefore generate large data streams. This explosion of data justifies the birth, in the world of the term Big Data: it indicates the data produced in large quantities, with remarkable speed and in different formats, which requires processing technologies and resources that go far beyond the conventional systems management and storage of data. It is immediately clear that, 1) models of data storage based on the relational model, and 2) processing systems based on stored procedures and computations on grids are not applicable in these contexts. As regards the point 1, the RDBMS, widely used for a great variety of applications, have some problems when the amount of data grows beyond certain limits. The scalability and cost of implementation are only a part of the disadvantages: very often, in fact, when there is opposite to the management of big data, also the variability, or the lack of a fixed structure, represents a significant problem. This has given a boost to the development of the NoSQL database. The website NoSQL Databases defines NoSQL databases such as "Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open source and horizontally scalable." These databases are: distributed, open source, scalable horizontally, without a predetermined pattern (key-value, column-oriented, document-based and graph-based), easily replicable, devoid of the ACID and can handle large amounts of data. These databases are integrated or integrated with processing tools based on the MapReduce paradigm proposed by Google in 2009. MapReduce with the open source Hadoop framework represent the new model for distributed processing of large amounts of data that goes to supplant techniques based on stored procedures and computational grids (step 2). The relational model taught courses in basic database design, has many limitations compared to the demands posed by new applications based on Big Data and NoSQL databases that use to store data and MapReduce to process large amounts of data.
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Introduction to git and githhub with practicals.pptx
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Introduction to Git and Github - Google Developer Student Clubs CET, Trivandrum
ePOM - Fundamentals of Research Software Development - Code Version Control
ePOM - Fundamentals of Research Software Development - Code Version Control
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Rainfall intensity duration frequency curve statistical analysis and modeling...
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
An improved modulation technique suitable for a three level flying capacitor ...
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
Software Engineering and Project Management - Introduction, Modeling Concepts...
Software Engineering and Project Management - Introduction, Modeling Concepts...
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
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IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
An introductory guide to GIT
- 1. GIT
- 2. Goals of GIT ● Speed ● Simple design ● Strong support for non-linear development (thousands of parallel branches) ● Fully distributed ● Able to handle large projects like the Linux kernel efficiently (speed and data size)
- 5. GIT : Nearly Every Operation Is Local
- 6. GIT basics. Acquiring a local copy AKA clone. git clone https://github.com/amith23/git_demo.git
- 7. GIT basics. Adding new file to the repo associated with few steps. 1. We have to stage the change. 2. Commit the change to local copy. 3. Push the change to remote repo. git add “file path” git commit -m”commit message” git push
- 8. GIT basics. Switch the working branch git pull “current branch / optional” git checkout “branch name”
- 9. Best practises ● Always check for new changes before start your development. ● Commit small, non breakable codes to your repository. ● Commit often. ● Give a meaningful comment message for your commit ● Create meaningful branch names ex. JIRA ticket id ● Configure lifecycle events hooks.
- 10. Best practises ● Always check for new changes before start your development. ● Commit small, non breakable codes to your repository. ● Commit often. ● Give a meaningful comment message for your commit ● Create meaningful branch names ex. JIRA ticket id ● Configure lifecycle events hooks.