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https://www.python4data.science/en/latest/productive/git/advanced/shell.html
In this chapter I would like to introduce you to two powerful shell extensions: oh-my-zsh oh-my-zsh can be used for the Z Shell. Starship Starship is a fast...
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https://talkpython.fm/episodes/show/519/data-science-cloud-lessons-at-scale
Today on Talk Python: What really happens when your data work outgrows your laptop. Matthew Rocklin, creator of Dask and cofounder of Coiled, and Nat Tabris a...
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https://towardsdatascience.com/the-essential-guide-to-r-and-python-libraries-for-data-visualization-33be8511c976/
Jan 13, 2025 - Let's dive into the most important libraries in R and Python to visualise data and create different charts, and what the pros and cons are
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https://talkpython.fm/episodes/show/480/ahoy-narwhals-are-bridging-the-data-science-apis
If you work in data science, you definitely know about data frame libraries. Pandas is certainly the most popular, but there are others such as cuDF, Modin,...
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Start working on a project: Start your own project:$ git init [ PROJECT], creates a new, local git repository.-[ PROJECT], if the project name is given, Git...
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https://towardsdatascience.com/top-3-python-packages-to-generate-synthetic-data-33a351a5de0c/
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https://www.coursera.org/learn/sql-data-science/reviews?page=131&authMode=signup
Find helpful learner reviews, feedback, and ratings for Databases and SQL for Data Science with Python from IBM. Read stories and highlights from Coursera...
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Data Visualization techniques involve the generation of graphical or pictorial representation of DATA, to understand the insights
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https://pll.harvard.edu/course/introduction-data-science-python
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https://www.python4data.science/en/latest/productive/git/advanced/hooks/scripts.html
pre-commit-hooks, The pre-commit framework already comes with a whole range of scripts, including:- check-added-large-files, prevents large files from being...
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Data Science, SQL, Tableau Visualization, Python , R The data science blog Machine Learning
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Deployment branches: We recommend one or more deployment branches if, for example, you cannot determine the release time yourself, for example if an iOS...
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https://www.python4data.science/en/latest/productive/git/advanced/vs-code/gitlab-vscode-extension.html
GitLab VS Code Extension integrates GitLab ≥ 13.0 into Visual Studio Code: Display GitLab issues and merge requests, Issues, comments, merge requests and...
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GitLab is a web application for version management based on Git. Later, further functions were added such as an issue tracking system with Kanban board, a...
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https://www.python4data.science/en/latest/productive/git/advanced/bisect.html
git bisect allows you to quickly find a git commit that has introduced a regression. The name bisect comes from the binary search that the command uses. The...
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https://talkpython.fm/episodes/show/322/a-path-into-data-science
Are you interested in getting ahead in data science? On this episode, you'll meet Sanyam Bhutani who studied computer science but found his education didn't...
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https://www.python4data.science/en/latest/productive/git/advanced/hooks/ci.html
Pre-commit can also be used for CI. Examples for GitHub Actions: pre-commit ci, Service that adds the pre-commit ci app to your GitHub repository at...
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https://www.analyticsvidhya.com/blog/2020/11/introduction-to-clustering-in-python-for-beginners-in-data-science/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2021/01/in-depth-intuition-of-k-means-clustering-algorithm-in-machine-learning/
Clustering is an unsupervised machine learning technique. This article is an introduction to clustering in python for data science beginners
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https://www.netacad.com/courses/data-science-essentials-with-python?courseLang=en-US&instance_id=67703661-a998-4cbb-bf37-d74b493a89df
Beginner friendly data science with Python's Pandas and Matplotlib through interactive project-based learning. Includes data cleaning, visualization, modeling,...
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https://www.python4data.science/en/latest/productive/git/advanced/index.html
git cherry-pick, allows you to append any Git commit to the current HEAD based on its hash value.,, git bisect, allows you to quickly find a Git commit that...
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Feb 10, 2026 - Teaching Python and Data Science around the worldHi, I’m Reuven Lerner. I help developers around the world to become more fluent in Python. I’d love to find...
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https://towardsdatascience.com/nine-rules-for-writing-python-extensions-in-rust-d35ea3a4ec29/?sk=f8d808d5f414154fdb811e4137011437
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Work hands-on with real datasets while learning Python for data science.
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https://towardsdatascience.com/modern-dataframes-in-python-a-hands-on-tutorial-with-polars-and-duckdb/
Nov 21, 2025 - How I learned to handle growing datasets without slowing down my entire workflow
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Mar 26, 2025 - A keynote talk showing how to combine data science and web development.
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git cherry-pick allows you to append arbitrary Git commits to the current HEAD based on their hash value. Cherry-picking is selecting a commit from one branch...
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https://www.theserverside.com/feature/Why-Java-devs-should-switch-to-Python-or-R-for-data-science
Mar 15, 2021 - Java has a lot going for it, but it's not the top language for data science. Java professionals may want to familiarize themselves with Python or R for data...
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https://www.python4data.science/en/latest/productive/git/advanced/jupyter-notebooks.html
Problems with version control of Jupyter Notebooks: There are several issues to manage Jupyter Notebooks with Git: Jupyter Notebooks cell metadata changes even...
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The commands git rebase and git merge allow you to merge Git branches. While git merge is always a moving forward change approach, git rebase has powerful...
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https://www.python4data.science/en/latest/productive/git/glossary.html
Branch, A branch is a development line. The last commit on a branch is called the tip of the branch, which is referenced by a head and which moves on as more...
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https://www.coursera.org/specializations/data-science-python?network=g&utm_source=gg&creativeid=536102998481&matchtype=&adgroupid=128025796489&gclid=CjwKCAiAv_KMBhAzEiwAs-rX1Ik8Y6pOBp1aqvv1E5jCccVQmXbSU9ztAFwR5XMO4tCukjePxP8RkRoCygQQAvD_BwE&keyword=&utm_content=01-CourseraCatalog-DSA-US&hide_mobile_promo=&utm_campaign=01-CourseraCatalog-DSA-US&campaignid=9918777773&devicemodel=&adpostion=&utm_medium=sem&device=c&authMode=signup
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https://towardsdatascience.com/15-common-coding-mistakes-data-scientist-make-in-python-and-how-to-fix-them-7760467498af/
Mar 5, 2025 - Getting Started Photo by Joshua Aragon on Unsplash I gradually realized in my data science career that by applying software engineering best practices, you can...
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https://www.analyticsvidhya.com/blog/2020/11/top-13-python-libraries-every-data-science-aspirant-must-know-and-their-resources/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2020/09/indexing-and-selecting-data-in-python-how-to-slice-dice-for-pandas-series-and-dataframe/
Explore the top 20 Python libraries for data science, including NumPy, Pandas, TensorFlow, and more, to boost your data analysis and machine learning.
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https://talkpython.fm/episodes/show/392/data-science-from-the-command-line
When you think data science, Jupyter notebooks and associated tools probably come to mind. But I want to broaden your toolset a bit and encourage you to look...
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https://www.python4data.science/en/latest/productive/git/advanced/gitlab/ci-cd/github-migration.html
GitLab CI/CD and GitHub Actions have some similarities in configuration, making migration to GitLab CI/CD relatively easy: Workflow configuration files are...
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https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2016/01/python-tutorial-list-comprehension-examples/
This Python tutorial focuses on the basic concepts of Python for data analysis. Learn Python to expand your knowledge and skill set for data science.
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https://www.educative.io/courses/data-science-projects-with-python
Learn data science with Python by exploring datasets, building, deploying, and monitoring models alongside mastering logistic regression, decision trees,...
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https://www.python4data.science/en/latest/productive/git/workflows/split-repos.html
Splitting repos: It is often useful to divide a large Git repository into multiple smaller ones. This can be necessary in a project that has grown over time,...
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https://www.educative.io/courses/introduction-to-data-science-with-python/loops
Learn how Python loops including for and while help automate repetitive tasks and how list comprehensions create efficient lists for data analysis.
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https://www.python4data.science/en/latest/productive/git/workflows/monorepos.html
In a large project, single components of a software may be kept in separate repositories. However, sometimes this creates unnecessary complexity, for instance...
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https://www.simplilearn.com/data-science-with-python-books-article
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https://www.python4data.science/en/latest/productive/git/install-config.html
Installation: For ix distributions, Git should be in the standard repository. Debian/Ubuntu The git-all package provides a complete Git working environment....
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https://www.coursera.org/learn/sql-data-science/reviews?page=117
Find helpful learner reviews, feedback, and ratings for Databases and SQL for Data Science with Python from IBM. Read stories and highlights from Coursera...
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https://www.analyticsvidhya.com/blog/2020/11/top-13-python-libraries-every-data-science-aspirant-must-know-and-their-resources/?utm_source=reading_list&utm_medium=https://www.analyticsvidhya.com/blog/2022/11/essential-pandas-operations-you-must-bookmark-right-away/
Explore the top 20 Python libraries for data science, including NumPy, Pandas, TensorFlow, and more, to boost your data analysis and machine learning.
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https://www.python4data.science/en/latest/productive/git/workflows/git-flow.html
Git Flow was one of the first proposals for the use of Git branches. It recommended a main branch and a separate develop branch as well as various other...
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https://www.codecademy.com/learn/getting-started-with-python-for-data-science
Work hands-on with real datasets while learning Python for data science.
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