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Introduction to Modern Scientific Programming and Numerical Methods: link.amazon/B07Eq0OUy
#ComputationalScience
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C++ · Physics · Calculus — Integrated Stem Bundle for CS students creatifystoredp.gumroad.com/…
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Time series forecasting in Python can help you predict future trends.
In this course, you'll learn what time series data is and how to break it down into its key components.
Then you'll build baseline models, learn important forecasting techniques like ARIMA and seasonal ARIMA, evaluate your models, & more.
freecodecamp.org/news/learn-…
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C++ Programming — The Complete Course: Zero to Data Structures & Algorithms creatifystoredp.gumroad.com/…
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Many modern apps rely on real-time data, like live sports scores, chat apps, collaborative tools, and more.
A common way to power this is with WebSockets.
In this tutorial, Nneoma explains how WebSockets work, how to build them in Python, and how to use them with FastAPI.
freecodecamp.org/news/how-to…
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Building a game is a great way to improve your programming skills.
It makes you consider things like performance, user input, and structure while getting creative with your problem-solving.
In this guide, @manishmshiva walks you through some of the key skills game dev helps you develop.
freecodecamp.org/news/improv…
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As a developer, you may spend a lot of time in your terminal.
So to help you work more happily and productively there, @pliutau has shared this collection of CLI/TUI tools.
He goes over their features and installation instructions so you can try them out yourself.
freecodecamp.org/news/essent…
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Discrete Mathematics plays a key role in machine learning and algorithms.
And in this Python course, you'll learn some of its VIP concepts like combinatorics, number theory, and the Pigeonhole Principle.
The course also covers permutations, the Rule of Sum, prime and rational numbers, congruences, and lots more.
freecodecamp.org/news/learn-…
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When you have a whole bunch of raw data, it's often hard to make sense of without visuals.
So in this guide, Nikhil takes you through analyzing a dataset and creating six different visualizations for it.
You'll learn about heatmaps, EPS scatters, return violins, and more, along with the insights they can give you.
freecodecamp.org/news/financ…
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A vector database stores data as lists of numbers called embeddings, which lets it search by meaning.
And it's what powers many recommendation systems, RAG apps, and AI agents.
In this course, you'll learn how they work, from the math to a working semantic search project.
freecodecamp.org/news/learn-…
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Thinking Clearly with Data — Guide to Quantitative Reasoning and Analysis: link.amazon/B0bLHiDpo
Amazon Summary:
• Ideal textbook for introductory quantitative methods courses in data science, statistics, political science, economics, psychology, sociology, public policy, and other fields
• Introduces the basic toolkit of data analysis―including sampling, hypothesis testing, Bayesian inference, regression, experiments, instrumental variables, differences in differences, and regression discontinuity
• Uses real-world examples and data from a wide variety of subjects
• Includes practice questions and data exercises
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If you want to defend against attackers, you have to understand how they attack.
And you can learn how to break into systems (ethically and responsibly) in this course.
You'll learn about target reconnaissance, vulnerability assessment, web exploitation, and more using a dedicated Capture the Flag machine.
freecodecamp.org/news/learn-…
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Your notes, PDFs, and docs are hard to search once they pile up in folders.
In this tutorial, Darsh teaches you how to build a private RAG Q&A agent that runs on your own machine.
You'll use Python, LangChain v1, Ollama, Qwen, and ChromaDB to query your documents and get answers with cited sources.
freecodecamp.org/news/build-…
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If you need to brush up your math skills, this collection of courses is for you.
It's a list of more than 220 of the top online math courses from the 60 best universities in the world.
You can learn about linear algebra, differential equations, vector calculus, statistics and probability, and lots more.
freecodecamp.org/news/math-o…
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If you want to learn how to build and deploy ML models, this course is for you.
It covers Exploratory Data Analysis, Feature Engineering, Model Validation, & MLOps integration.
By the end you'll be able to manage complex data projects & deploy your models.
freecodecamp.org/news/end-to…
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If you're building a project and eventually hope to bring others on board, you'll want to create a README file.
And in this guide, @casweb_dev explains how to structure it effectively.
He walks you through all the important info to include, and even shares a template you can use for your own READMEs.
freecodecamp.org/news/how-to…
