{"id":48577783,"url":"https://github.com/vlad1343/tools","last_synced_at":"2026-04-08T16:03:32.572Z","repository":{"id":315218830,"uuid":"1058565092","full_name":"Vlad1343/Tools","owner":"Vlad1343","description":"This repository demonstrates the acquisition of advanced Python programming skills through structured exercises and projects, with a strong emphasis on NumPy for array manipulation, slicing, masking, and reshaping","archived":false,"fork":false,"pushed_at":"2025-10-01T22:39:49.000Z","size":128,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-10-02T00:19:21.562Z","etag":null,"topics":["jupyter-notebook","numpy","numpy-library","numpy-python","pandas","pandas-python","python","python3"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Vlad1343.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-17T08:58:48.000Z","updated_at":"2025-10-01T22:39:53.000Z","dependencies_parsed_at":"2025-09-17T11:36:25.192Z","dependency_job_id":"cae49aef-3838-4ccc-b32f-78cce9195248","html_url":"https://github.com/Vlad1343/Tools","commit_stats":null,"previous_names":["vlad1343/tools"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Vlad1343/Tools","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vlad1343%2FTools","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vlad1343%2FTools/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vlad1343%2FTools/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vlad1343%2FTools/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Vlad1343","download_url":"https://codeload.github.com/Vlad1343/Tools/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Vlad1343%2FTools/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31562697,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-08T14:31:17.711Z","status":"ssl_error","status_checked_at":"2026-04-08T14:31:17.202Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["jupyter-notebook","numpy","numpy-library","numpy-python","pandas","pandas-python","python","python3"],"created_at":"2026-04-08T16:03:29.802Z","updated_at":"2026-04-08T16:03:32.563Z","avatar_url":"https://github.com/Vlad1343.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Tools and Exercises Repository\n\nThis repository contains exercises, small projects, and playgrounds exploring advanced Python concepts and libraries. It is a work-in-progress for learning and practicing new Python skills through hands-on coding challenges.\n\n## Achievements\n\n- Gained strong foundational NumPy and data manipulation skills by implementing custom array transformations, masks, and reshaping tasks.  \n- Designed and solved multiple structured array challenges (such as creating bordered arrays, cross patterns, and embedded matrices).  \n- Practiced reproducibility and clarity in experiments through modular code, indexing, and controlled random number generation.  \n- Used array creation and modification tasks (e.g., setting specific cells, filling subarrays) to deepen understanding of broadcasting and slicing.\n\n## Topics \u0026 Libraries Explored\n\n### NumPy\n\n- Array creation: `zeros`, `ones`, `full`, `identity`  \n- Randomized data generation with `np.random.rand`, `np.random.randint`  \n- Reshaping and slicing (multi-dimensional indexing, subarray replacement)  \n- Boolean masking and conditional selection  \n- Stacking arrays (`hstack`, `vstack`) and embedding smaller arrays into larger ones  \n- Targeted updates (changing single elements or subarrays, e.g., setting center value)  \n\n### Python Fundamentals\n\n- Itertools for grouping and processing lists  \n- Differences between views and copies (`.copy()`)  \n- Boolean operations and logical indexing  \n- File handling with NumPy I/O (`np.genfromtxt` for CSV-like data)  \n\n## Projects \u0026 Exercises\n\n- **Structured Array Tasks**:  \n  - Created a 7×7 array filled with `3`, inserted a `5×5` array of `1`s in the center, and updated the very center element to `5`.  \n  - Built bordered arrays (double borders of different values).  \n  - Cross patterns and \"donut\" arrays using slicing.  \n  - Reshaping 1D arrays into 2D/3D layouts.  \n\n- **Masking and Selection**:  \n  - Boolean masks to filter array elements by conditions.  \n  - Extracted diagonals, rows, and columns from structured arrays.  \n\n- **Mini Playgrounds**:  \n  - Experimented with 3D arrays and nested indexing.  \n  - Grouped words by their first letter using `itertools.groupby`.  \n\n## Tech Stack\n\n- **Libraries**: NumPy, itertools  \n- **File I/O**: CSV/Text parsing with NumPy  \n- **Environment**: Jupyter Notebooks, VS Code  \n\n## Purpose\n\nThe aim of this repository is to steadily build advanced Python fluency through practice and experimentation.  \nKey goals include:  \n\n- Understanding NumPy array manipulation at a low level.  \n- Practicing conditional masking and selection logic.  \n- Designing structured array challenges (borders, patterns, embeddings).  \n- Reinforcing programming concepts like iteration, grouping, and data slicing.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvlad1343%2Ftools","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvlad1343%2Ftools","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvlad1343%2Ftools/lists"}