{"id":27110378,"url":"https://github.com/rdrahul123/my_python-codes","last_synced_at":"2026-05-17T17:00:57.977Z","repository":{"id":284610110,"uuid":"946049616","full_name":"RDrahul123/My_Python-codes","owner":"RDrahul123","description":"Python Programming codes and Notebooks","archived":false,"fork":false,"pushed_at":"2025-04-04T04:07:29.000Z","size":296,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-04T05:19:24.564Z","etag":null,"topics":["anaconda","data-analysis","data-science","jupyter-notebook","python","python3","visual-studio"],"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/RDrahul123.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}},"created_at":"2025-03-10T14:30:07.000Z","updated_at":"2025-04-04T04:07:32.000Z","dependencies_parsed_at":"2025-03-26T19:43:03.137Z","dependency_job_id":null,"html_url":"https://github.com/RDrahul123/My_Python-codes","commit_stats":null,"previous_names":["rdrahul123/my_python-codes"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RDrahul123%2FMy_Python-codes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RDrahul123%2FMy_Python-codes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RDrahul123%2FMy_Python-codes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RDrahul123%2FMy_Python-codes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RDrahul123","download_url":"https://codeload.github.com/RDrahul123/My_Python-codes/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247569117,"owners_count":20959758,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["anaconda","data-analysis","data-science","jupyter-notebook","python","python3","visual-studio"],"created_at":"2025-04-06T23:51:10.768Z","updated_at":"2025-10-06T22:24:51.316Z","avatar_url":"https://github.com/RDrahul123.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python Codes\n\n# Python Libraries: NumPy, pandas, and Matplotlib\n\n## 1. NumPy\n**NumPy (Numerical Python)** is a powerful library for numerical computing in Python. It provides support for multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these data structures.\n\n### Key Features:\n- Efficient handling of large datasets with its powerful n-dimensional array object (`ndarray`).\n- Mathematical functions for complex operations such as linear algebra, Fourier transform, and random number generation.\n- Highly optimized C code ensures fast computation.\n\n### Example Usage:\n```python\nimport numpy as np\n\n# Creating a NumPy array\narr = np.array([1, 2, 3, 4, 5])\nprint(\"Array:\", arr)\n\n# Performing basic operations\nprint(\"Mean:\", np.mean(arr))\nprint(\"Sum:\", np.sum(arr))\n```\n\n---\n\n## 2. pandas\n**pandas** is a powerful data manipulation and analysis library built on top of NumPy. It is especially useful for handling structured data (e.g., spreadsheets, CSV files, etc.).\n\n### Key Features:\n- Provides two primary data structures: `Series` (1D data) and `DataFrame` (2D data).\n- Supports data cleaning, transformation, and analysis.\n- Offers extensive file input/output tools (CSV, Excel, SQL, etc.).\n\n### Example Usage:\n```python\nimport pandas as pd\n\n# Creating a DataFrame\ndata = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}\ndf = pd.DataFrame(data)\nprint(\"DataFrame:\\n\", df)\n\n# Accessing specific columns\nprint(\"Names:\\n\", df['Name'])\n\n# Filtering data\nprint(\"Filtered Data:\\n\", df[df['Age'] \u003e 28])\n```\n\n---\n\n## 3. Matplotlib\n**Matplotlib** is a powerful plotting library for Python. It enables visualization of data through various chart types such as line plots, bar graphs, scatter plots, etc.\n\n### Key Features:\n- Offers flexibility in plot customization.\n- Supports interactive and static visualizations.\n- Integrates seamlessly with other libraries like NumPy and pandas.\n\n### Example Usage:\n```python\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n# Generating sample data\nx = np.linspace(0, 10, 100)\ny = np.sin(x)\n\n# Creating a plot\nplt.plot(x, y, label='Sine Wave')\nplt.title(\"Sine Wave Visualization\")\nplt.xlabel(\"X-axis\")\nplt.ylabel(\"Y-axis\")\nplt.legend()\nplt.show()\n```\n\n---\n\n## Summary\n| Library    | Primary Use                | Key Feature             |\n|-------------|---------------------------|-------------------------|\n| **NumPy**     | Numerical computations     | Efficient array handling |\n| **pandas**    | Data manipulation \u0026 analysis| Tabular data management |\n| **Matplotlib**| Data visualization         | Flexible plotting tools |\n\nThese libraries are essential for data science, machine learning, and scientific computing in Python. Mastering them can greatly enhance your ability to analyze and visualize data effectively.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frdrahul123%2Fmy_python-codes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frdrahul123%2Fmy_python-codes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frdrahul123%2Fmy_python-codes/lists"}