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realpython.com
https://realpython.com/ref/tools/git/
Git | Python Tools – Real Python
Git Git is a distributed version control system (VCS) that tracks changes in project files and supports collaborative workflows with lightweight branching and remotes.
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github.com
https://github.com/FatemaTujJohora11/graph-dfs-pyt…
FatemaTujJohora11/graph-dfs-python - GitHub
Graph DFS Implementation (Python) This repository contains a Python implementation of an undirected graph using an adjacency list representation and Depth-First Search (DFS) traversal.
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stackoverflow.com
https://stackoverflow.com/questions/79848233/git-l…
Git log graph script to run on any repo - Stack Overflow
I am trying to create a Bash script that produces an enhanced, readable git log graph for a repository with multiple branches. What the script is intended to do Fetch and prune all remote branches.
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visualstudio.com
https://code.visualstudio.com/docs/sourcecontrol/o…
Source Control in VS Code
Learn how to use VS Code's integrated Git source control features like staging, committing, branching, merge conflict resolution, and GitHub integration.
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matplotlib.org
https://matplotlib.org/
Matplotlib — Visualization with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout.
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gitkraken.com
https://www.gitkraken.com/
GitKraken Legendary Git Tools | GitKraken
Meet GitKraken, the creator of legendary Git tools for developers and teams - like the GitKraken Desktop, with Git GUI and CLI, Git Integration for Jira, and GitLens for VS Code.
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neo4j.com
https://neo4j.com/developer/languages/python/tutor…
Get Started with Neo4j and Python - Graph Database & Analytics
Get Started with Neo4j and Python In this blog post, we’ll walk through building a Python application that highlights the strengths of Neo4j and how Python developers can use graph databases to solve complex data problems. But before we start writing code, let’s look at why a Python developer might reach for a graph database in the first place.
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packtpub.com
https://www.packtpub.com/product-co/learning/how-t…
Mine Popular Trends on GitHub using Python - Part 1
In this article, we explore how to leverage the power of Python in order to gather and process data from GitHub and make it analysis-ready.
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toptal.com
https://www.toptal.com/developers/gitignore
gitignore.io - Create Useful .gitignore Files For Your Project
Create useful .gitignore files for your project by selecting from 571 Operating System, IDE, and Programming Language .gitignore templates
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pytorch.org
https://docs.pytorch.org/tutorials/beginner/basics…
Datasets & DataLoaders — PyTorch Tutorials 2.9.0+cu128 documentation
While training a model, we typically want to pass samples in “minibatches”, reshuffle the data at every epoch to reduce model overfitting, and use Python’s multiprocessing to speed up data retrieval. DataLoader is an iterable that abstracts this complexity for us in an easy API.