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title: Best Data Science posts — April 2024 | daily.dev
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# Best of Data Science — April 2024

1. 1  
[](https://daily.dev/posts/oh-my-git--ojlaeshdz "Oh My Git!")  
Article  
![Avatar of hn](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/hn)Hacker News · 2y  
Oh My Git!  
Oh My Git! is an open-source game that visualizes the internal structures of Git repositories in real-time. It offers a playing card interface to remember Git commands and features an integrated terminal to execute arbitrary Git commands. The game also focuses on teaching teamwork and collaboration in Git.  
714  
33
2. 2  
[](https://daily.dev/posts/5-free-courses-to-master-math-for-data-science-x2k0uoknl "5 Free Courses to Master Math for Data Science")  
Article  
![Avatar of kdnuggets](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/kdnuggets)KDnuggets · 2y  
5 Free Courses to Master Math for Data Science  
Learn math for data science with these free courses on topics such as calculus, linear algebra, probability and statistics, and optimization.  
154  
9
3. 3  
[](https://daily.dev/posts/25-most-important-mathematical-definitions-in-data-science-d87s83jjy "25 Most Important Mathematical Definitions in Data Science")  
Article  
![Avatar of dailydoseofds](https://media.daily.dev/image/upload/s--4IHQgTOw--/f_auto/v1710503712/logos/dailydoseofds)Daily Dose of Data Science | Avi Chawla | Substack · 2y  
25 Most Important Mathematical Definitions in Data Science  
The importance of mathematical knowledge in data science and machine learning, a list of important mathematical formulations used in data science and statistics, and the use of mean squared error (MSE) in machine learning.  
82
4. 4  
[](https://daily.dev/posts/free-python-resources-that-can-help-you-become-a-pro-yhfkmjmxt "Free Python Resources That Can Help You Become a Pro")  
Article  
![Avatar of kdnuggets](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/kdnuggets)KDnuggets · 2y  
Free Python Resources That Can Help You Become a Pro  
A collection of free Python resources including courses, books, repositories, projects, cheat sheets, and online compilers to help beginners become proficient in Python programming.  
61  
1
5. 5  
[](https://daily.dev/posts/what-is-merge-sort--tsez09rhz "What is merge sort 🤨 ?")  
Article  
![Avatar of watercooler](https://media.daily.dev/image/upload/s--abas6DOY--/f_auto/v1785668288/squads/fd062672-63b7-4a10-87bd-96dcd10e9613?_a=BAMAMicg0)Watercooler · 2y  
What is merge sort 🤨 ?  
Merge sort is an algorithm used for sorting elements. It involves dividing the list into smaller sublists, sorting them separately, and then merging them back together.  
60  
3
6. 6  
[](https://daily.dev/posts/25-data-science-projects-to-boost-your-resume-iunyjtr4o "25+ Data Science Projects to Boost Your Resume")  
Article  
![Avatar of medium_js](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium)Medium · 2y  
25+ Data Science Projects to Boost Your Resume  
Mention and work on projects that can show most of your skills in solving a Data Science problem. Always make sure you are working on a project based on a real-time business problem.  
55
7. 7  
[](https://daily.dev/posts/four-stages-of-learning-data-science--1mciwe50y "Four stages of learning Data Science 😅")  
Article  
![Avatar of watercooler](https://media.daily.dev/image/upload/s--abas6DOY--/f_auto/v1785668288/squads/fd062672-63b7-4a10-87bd-96dcd10e9613?_a=BAMAMicg0)Watercooler · 2y  
Four stages of learning Data Science 😅  
Learn the four stages of learning Data Science and the skills needed to start.  
45  
1
8. 8  
[](https://daily.dev/posts/spreadsheet-ui-for-python-aomawff40 "Spreadsheet UI for Python")  
Article  
![Avatar of hn](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/hn)Hacker News · 2y  
Spreadsheet UI for Python  
PySheets provides a spreadsheet UI for Python, allowing users to perform exploratory data science, use Pandas, create charts with matplotlib, import Excel sheets, analyze data, and create reports. All the Python code runs in the browser, and PySheets itself is also written in Python. Collaboration, unlimited sheets, community support, and unlimited AI generations.  
43  
1
9. 9  
[](https://daily.dev/posts/the-2024-data-scientist-roadmap-iqxahb6cz "The 2024 Data Scientist RoadMap")  
Article  
![Avatar of javarevisited](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/9ca6532654d146408235d53f0823a26d)Javarevisited · 2y  
The 2024 Data Scientist RoadMap  
An illustrated guide to becoming a Data Scientist in 2024 with links to relevant courses  
36
10. 10  
[](https://daily.dev/posts/learn-statistics-for-data-science-machine-learning-and-ai-full-handbook-yxbacfypp "Learn Statistics for Data Science, Machine Learning, and AI – Full Handbook")  
Article  
![Avatar of freecodecamp](https://media.daily.dev/image/upload/t_logo,f_auto/v1628412854/logos/freecodecamp)freeCodeCamp · 2y  
Learn Statistics for Data Science, Machine Learning, and AI – Full Handbook  
Learn statistics for data science, machine learning, and AI. Understand the importance of statistics in data analysis and how it provides tools and methods for finding structure and deeper insights. This handbook covers key statistical concepts, as well as prerequisites for learning statistics.  
31
11. 11  
[](https://daily.dev/posts/5-free-stanford-university-courses-to-learn-data-science-uhudurbxa "5 Free Stanford University Courses to Learn Data Science")  
Article  
![Avatar of kdnuggets](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/kdnuggets)KDnuggets · 2y  
5 Free Stanford University Courses to Learn Data Science  
Learn data science for free with these 5 courses from Stanford University. Covering programming, databases, machine learning, and more.  
29  
1
12. 12  
[](https://daily.dev/posts/it-s-was-all-good-until-recursion-dp-etc--ynajyobjr "It's was all good until Recursion , DP etc.")  
Article  
![Avatar of watercooler](https://media.daily.dev/image/upload/s--abas6DOY--/f_auto/v1785668288/squads/fd062672-63b7-4a10-87bd-96dcd10e9613?_a=BAMAMicg0)Watercooler · 2y  
It's was all good until Recursion , DP etc.  
The post discusses the challenges and concepts related to recursion and dynamic programming in programming.  
27  
3
13. 13  
[](https://daily.dev/posts/a-beginner-s-guide-to-the-top-10-machine-learning-algorithms-yedoj7uw9 "A Beginner’s Guide to the Top 10 Machine Learning Algorithms")  
Article  
![Avatar of kdnuggets](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/kdnuggets)KDnuggets · 2y  
A Beginner’s Guide to the Top 10 Machine Learning Algorithms  
A beginner's guide to the top 10 machine learning algorithms, covering supervised and unsupervised learning, regression, classification, clustering, and dimensionality reduction.  
24
14. 14  
[](https://daily.dev/posts/build-a-complete-opensource-llm-rag-qa-chatbot-choose-the-model-vspcvr4zz "Build a Complete OpenSource LLM RAG QA Chatbot — Choose the Model")  
Article  
![Avatar of gc](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/gc)gitconnected · 2y  
Build a Complete OpenSource LLM RAG QA Chatbot — Choose the Model  
This post explores the process of choosing an open source model for an LLM RAG QA Chatbot, and delves into the concept of quantization in language modeling. It discusses different quantization algorithms commonly used in deep learning and the advantages and limitations of each algorithm. The post also explores the options of using a local model or APIs for model utilization, highlighting factors such as performance, scalability, and accessibility. It concludes by emphasizing the dynamic interplay between accessibility, performance, and control in the realm of open source models.  
18  
1
15. 15  
[](https://daily.dev/posts/load-balancing-is-harder-than-you-think--jmz1lfz1p "Load Balancing (is harder than you think)")  
Video  
![Avatar of t3dotgg](https://media.daily.dev/image/upload/s--UmX7IyU3--/f_auto/v1704628081/logos/t3dotgg.jpg)Theo - t3․gg · 2y  
Load Balancing (is harder than you think)  
This post explores the topic of load balancing and discusses various algorithms, such as round robin, weighted round robin, and Peak exponentially weighted moving average. It highlights the importance of load balancing for web applications and explains how different algorithms can affect latency and dropped requests. The author provides simulations and visualizations to compare the performance of these algorithms in different scenarios.  
17  
1
16. 16  
[](https://daily.dev/posts/ultimate-collection-of-50-free-courses-for-mastering-data-science-yitbnacrg "Ultimate Collection of 50 Free Courses for Mastering Data Science")  
Article  
![Avatar of kdnuggets](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/kdnuggets)KDnuggets · 2y  
Ultimate Collection of 50 Free Courses for Mastering Data Science  
A comprehensive collection of 50 free courses for mastering data science, covering topics such as Python, SQL, Data Analytics, Business Intelligence, Data Engineering, Machine Learning, Deep Learning, Generative AI, and MLOps.  
16
17. 17  
[](https://daily.dev/posts/why-enterprise-ai-projects-are-moving-too-slowly-haumsspo9 "Why enterprise AI projects are moving too slowly")  
Article  
![Avatar of devto](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/devto)DEV · 2y  
Why enterprise AI projects are moving too slowly  
AI/ML projects face challenges in coordination, collaboration, and deployment due to the different assets involved. Jupyter notebooks are useful for data scientists in experimentation, but not easily extractable for other teams. Model development for production requires additional considerations and operational needs. Integrating data science and operations teams can help bridge the gap and enhance workflow efficiency. AI projects in production require proper packaging and versioning. Jozu's KitOps offers a solution for packaging and versioning AI projects into ModelKits.  
14  
1
18. 18  
[](https://daily.dev/posts/applied-data-science-a-b-testing-2yldz3rw8 "Applied Data Science: A / B Testing")  
Article  
![Avatar of freecodecamp](https://media.daily.dev/image/upload/t_logo,f_auto/v1628412854/logos/freecodecamp)freeCodeCamp · 2y  
Applied Data Science: A / B Testing  
Learn A/B testing in data science, its impact on business decisions, and how to implement it using Python.  
13
19. 19  
[](https://daily.dev/posts/google-agrees-to-delete-billions-of-browsing-records-in-incognito-mode-privacy-lawsuit-settlement-a6wexj2t1 "Google Agrees to Delete Billions of Browsing Records in 'Incognito Mode' Privacy Lawsuit Settlement")  
Article  
![Avatar of collections](https://media.daily.dev/image/upload/s--fk_6ycEi--/f_auto,q_auto/v1780996001/logos/collections?_a=BAMAMiWQ0)Collections · 2y  
Google Agrees to Delete Billions of Browsing Records in 'Incognito Mode' Privacy Lawsuit Settlement  
Google has settled a class action lawsuit and agreed to delete user data collected in its 'Incognito mode'. The settlement addresses privacy concerns, requires changes to Incognito mode, and aims to safeguard user privacy.  
13  
2
20. 20  
[](https://daily.dev/posts/interactive-mind-map-of-all-pandas-operations-m7hddgvyp "Interactive Mind Map of All Pandas Operations")  
Article  
![Avatar of dailydoseofds](https://media.daily.dev/image/upload/s--4IHQgTOw--/f_auto/v1710503712/logos/dailydoseofds)Daily Dose of Data Science | Avi Chawla | Substack · 2y  
Interactive Mind Map of All Pandas Operations  
The post shares an interactive mind map that lists all Pandas methods grouped by operation type. It covers various types of operations like I/O methods, DataFrame creation methods, statistical info, renaming methods, plotting methods, time-series methods, grouping methods, pivot methods, and categorical data methods. The mind map helps in discovering new Pandas methods.  
12
21. 21  
[](https://daily.dev/posts/mastering-the-art-of-data-python-code-snippets-to-elevate-your-skills-duoia8wkz "Mastering the Art of Data: Python Code Snippets to Elevate Your Skills")  
Article  
![Avatar of medium_js](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/medium)Medium · 2y  
Mastering the Art of Data: Python Code Snippets to Elevate Your Skills  
Master the art of data with Python and enhance your data skills using powerful Python code snippets. From data engineering and data science to data visualization and machine learning, this article covers a wide range of data-related tasks. Explore essential Python code snippets, tips, and tricks to streamline workflows, uncover insights, and deliver high-quality data solutions. Whether you're a beginner or an experienced practitioner, this article serves as a gateway to mastering data with Python.  
11
22. 22  
[](https://daily.dev/posts/a-beginner-s-guide-to-entry-level-python-jobs-kmjhaq00k "A Beginner’s Guide to Entry-Level Python Jobs")  
Article  
![Avatar of inPlainEngHQ](https://media.daily.dev/image/upload/s--Dg5QTRuI--/f_auto,q_auto/v1686665538/logos/pe)Python in Plain English · 2y  
A Beginner’s Guide to Entry-Level Python Jobs  
A beginner's guide to entry-level Python jobs, including an explanation of what these jobs entail, the industries that offer them, and the key skills required. The post also provides tips on how to prepare for entry-level Python jobs.  
10
23. 23  
[](https://daily.dev/posts/11-key-probability-distributions-in-data-science-qft0kfpbf "11 Key Probability Distributions in Data Science")  
Article  
![Avatar of dailydoseofds](https://media.daily.dev/image/upload/s--4IHQgTOw--/f_auto/v1710503712/logos/dailydoseofds)Daily Dose of Data Science | Avi Chawla | Substack · 2y  
11 Key Probability Distributions in Data Science  
This post covers 11 key probability distributions in data science and explains the concept of maximum likelihood estimation (MLE) for estimating the parameters of a statistical model.  
10

[See all Data Science archives](/tags/data-science/best-of)

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