Search Results for "ai coding for beginners"
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Showing 15 open source projects for "ai coding for beginners"
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Book1_Python-For-Beginners
The Iris Book: Addition, Subtraction, Multiplication, and Division
Book1_Python-For-Beginners is the introductory volume of the Visualize-ML series, designed to teach Python programming to newcomers with no prior coding experience. The repository emphasizes clarity and gradual skill building, starting from fundamental syntax and moving toward practical programming patterns. It integrates visual aids and annotated code examples to help learners understand not just how Python works but why certain patterns are used. -
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Elixir Koans
Elixir learning exercises
...The project is ideal for both complete beginners and developers transitioning from other languages who want to learn Elixir in a structured, exploratory way. Its design emphasizes discovery, experimentation, and reflection, making it a powerful tool for deepening understanding of Elixir’s unique paradigms. -
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Clean Code concepts for .NET/.NET Core
Clean Code concepts and tools adapted for .NET
...The repository covers topics such as naming conventions, code structure, error handling, and design patterns, emphasizing readability and long-term maintainability. It encourages developers to adopt disciplined coding habits that reduce technical debt and improve collaboration within teams. The content is structured in a way that allows both beginners and experienced developers to benefit from practical insights and actionable recommendations. It also highlights common pitfalls and anti-patterns, helping developers avoid mistakes in real-world scenarios. -
4
PythonPark
Python open source project "The Road to Self-Study Programming"
...It aggregates tutorials, learning guides, project examples, and resources across topics: from Python basics and data structures to machine learning, web scraping, and even interview preparation and “programmer life” guidance. Because of this breadth, PythonPark serves both as a reference library (for quick lookup) and as a structured learning path for beginners and intermediate learners in Python. For someone self-teaching Python (or transitioning into coding/data science), the repository presents a one-stop “home base” of content, saving them from hunting scattered tutorials across the internet. -
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5
DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
...It is designed as a structured bootcamp, covering fundamental concepts to advanced problem-solving techniques. The project provides explanations, exercises, assignments, and practice problems, making it useful for both beginners and intermediate learners who want to strengthen their Java and algorithmic skills. The repository is organized into multiple modules that start with Java basics and gradually progress toward arrays, recursion, sorting, searching, linked lists, stacks, queues, trees, graphs, dynamic programming, and other advanced topics. It is a popular resource for students preparing for coding interviews, competitive programming, or computer science fundamentals. -
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DIO Lab
Repository for "Contributing to an Open Source Project on GitHub" lab
dio-lab-open-source is an educational repository created as part of the “Contributing to an Open Source Project” course offered by Digital Innovation One (DIO). The project serves as a practical learning environment where students can explore the fundamentals of contributing to open source software through GitHub. It provides hands-on experience with the Git workflow, including forking repositories, creating branches, submitting pull requests, and collaborating with other developers. The... -
7
Book5_Essentials-Probability-Statistics
The book 5 of statistics in simplicity
...The repository explains topics such as distributions, sampling, inference, and uncertainty using visual demonstrations and intuitive narratives. Its teaching philosophy prioritizes conceptual clarity over heavy formalism, making statistical thinking more approachable for beginners. The material connects probability theory directly to real analytical workflows, helping learners understand how statistics supports predictive modeling. Like the other books in the series, it blends mathematical explanation with Python-based experimentation. Overall, the project provides a practical statistical foundation for students advancing into AI and data science. -
8
Hello Python
Comprehensive tutorial repository aimed at teaching the Python program
...The course is designed to be accessible: no prior programming experience required, and the resources are freely available. In addition, it is accompanied by a practical coding approach (projects) and is maintained as an open-source repository under Apache-2.0 license. It’s ideal for learners who want structured content, hands-on practice, and community guidance to build their Python skills. -
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The Grand Complete Data Science Guide
Data Science Guide With Videos And Materials
...The repository bundles tutorials, lecture notes, project outlines, course materials, and references across topics like Python, statistics, ML algorithms, deep learning, NLP, data preprocessing, model evaluation, and real-world problem solving. Its broad scope makes it particularly suitable for beginners or self-taught programmers who want an end-to-end learning track — from fundamentals all the way to building and deploying ML or AI systems. -
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10
Codefather
A programmer's guide to programming
...It’s designed to serve as a one-stop programming encyclopedia that covers foundational learning routes for Java, front-end, Python, C++, algorithms, and core computer science topics, making it useful for beginners, career-changers, and students. In addition to structured learning paths, the repository includes curated educational content such as coding exercises, interview questions, study guides, and real-world project tutorials to help learners build skills systematically. The project combines technical explanations, resource links, community recommendations, and experience-based advice to guide learners through the complexities of software development and job preparation. -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the... -
12
swirl
Learn R, in R
...The idea is that you load swirl in R, and it presents you with lessons (within R’s console or RStudio) that ask you to type commands, check results, and progress through tutorial material—without leaving the R environment. It is used for teaching R, especially for beginners, as well as for self-paced learning of packages, data manipulation, visualization, etc. Lessons and content are stored locally or can be downloaded and used without a continuous internet connection. Content includes quizzes, multiple-choice questions, coding exercises etc. to reinforce learning. -
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mBlock
Base on scratch offline v2.0 by MIT
mBlock is a visual programming platform based on Scratch 3.0 that helps students learn programming concepts through drag-and-drop blocks, Python, and IoT/AI modules. Developed by Makeblock, it supports programming robots and Arduino boards with an intuitive interface. Designed for education, it bridges the gap between beginner-friendly environments and real-world coding with Python, AI, and robotics tools. -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1- Vision: It can access web cams, imaging source industrial cameras for manuel settings and advanced issues. ... -
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A Java IDE designed for beginners, with an emphasis on simplicity. One unusual feature is that the IDE scans compiled programs for common beginner errors that typically lead to errors or poor coding style.
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