#jupyter_notebook #articles #artificial_intelligence #data_analysis #data_science #data_visualization #machine_learning #natural_language_processing #python #scraping #time_series

https://github.com/khuyentran1401/Data-science

#jupyter_notebook #data_analysis #data_science #data_science_tips #data_visualization #jupyter #jupyter_notebook #jupyter_tips #matplotlib #matplotlib_tips #numpy #pandas #pandas_tips #python #python_tips #sklearn

https://github.com/ChawlaAvi/Daily-Dose-of-Data-Science

#typescript #augmented_analytics #automated_data_analysis #automated_visualization #autovis #causal_discovery #causal_inference #causality #data_analysis #data_exploration #data_visualization #datamining #eda #k6s #kanaries #machine_learning #tableau #tableau_alternative #visualization

https://github.com/Kanaries/Rath

#r_lang #data_visualization #r

https://github.com/cxli233/FriendsDontLetFriends

#typescript #analytics #apache #apache_superset #asf #bi #business_analytics #business_intelligence #data_analysis #data_analytics #data_engineering #data_science #data_visualization #data_viz #flask #python #react #sql_editor #superset

Superset is a powerful business intelligence tool that helps you explore and visualize data easily. It offers a no-code interface for building charts, a robust SQL Editor for advanced queries, and support for nearly any SQL database or data engine. You can create beautiful visualizations, define custom dimensions and metrics quickly, and use a lightweight caching layer to reduce database load. Superset also provides extensible security roles and authentication options, an API for customization, and a cloud-native architecture designed for scale. This makes it easier to analyze and present your data in a user-friendly way, replacing or augmenting proprietary BI tools effectively.

https://github.com/apache/superset

#python #data_analysis #data_science #data_visualization #deep_learning #deploy #gradio #gradio_interface #hacktoberfest #interface #machine_learning #models #python #python_notebook #ui #ui_components

Gradio is a Python package that helps you quickly build and share web demos for your machine learning models or any Python function. You don't need to know JavaScript, CSS, or web hosting to use it. With just a few lines of Python code, you can create a demo and share it via a public link. Gradio offers various tools like the `Interface` class for simple demos, `ChatInterface` for chatbots, and `Blocks` for more complex custom applications. It also allows easy sharing of your demos with others by generating a public URL in seconds. This makes it easy to showcase your work without technical hassle.

https://github.com/gradio-app/gradio

#jupyter_notebook #data_analysis #data_science #data_visualization #pandas #python

This curriculum is designed to help beginners learn data science over 10 weeks with 20 detailed lessons. Each lesson includes pre- and post-lesson quizzes, step-by-step guides, knowledge checks, and assignments to ensure you retain the information. You'll learn about data ethics, statistics, working with different types of data, data visualization, and the entire data science lifecycle. The project-based approach helps you build practical skills while learning. Additionally, there are resources for students and teachers to make the learning process flexible and engaging. This curriculum is beneficial because it provides a structured and interactive way to gain hands-on experience in data science, making it easier to understand and apply these skills in real-world scenarios.

https://github.com/microsoft/Data-Science-For-Beginners

#typescript #api #app #cms #composable #data_visualization #database #directus #graphql #headless_cms #javascript #mariadb #mssql #mysql #no_code #node #postgresql #sql #sqlite #typescript #vue

Directus is a tool that helps you manage your SQL database content in real-time. It's open source, so you don't have to pay extra or get locked into a specific vendor. You can use it with many different databases like PostgreSQL, MySQL, and more. Directus provides a fast API and a user-friendly dashboard that doesn't require coding skills. You can run it locally, on your own servers, or use their cloud service starting at $15/month. This makes it easy to manage your data without needing technical expertise, and you can customize it to fit your needs.

https://github.com/directus/directus

#javascript #charting_library #charts #d3 #data_visualization #plotly #plotly_dash #regl #visualization #webgl

Plotly.js is a powerful tool for creating various types of charts and visualizations using JavaScript. It allows you to make statistical charts, 3D graphs, scientific charts, and more. You can easily load it into your project using a script tag or as a Node module. This library is beneficial because it offers a wide range of visualization options, making it easy to present data in an interactive and engaging way. Additionally, it is well-documented and has a strong community support, which helps if you need help or want to contribute to its development.

https://github.com/plotly/plotly.js

#java #bi #bigscreen #birt #data_analysis #data_visualization #dataease #datav #echart #echarts #finereport #highcharts #ireport #jasperreport #jfreechart #metabase #print #redash #report #superset #tableau

JimuReport is a free data visualization tool that helps you create reports, dashboards, and large screens easily online. Here’s what you need to know:

- It's free and supports complex reports with a user-friendly, drag-and-drop design interface similar to Excel.
- You can design various types of reports, including data reports, print designs, and graphical reports.
- It supports multiple data sources like MySQL, Oracle, and SQL Server, and offers 28 different types of charts.
- The tool is highly efficient, allowing you to design a report in just a minute.
- It also supports large screen designs with many components, similar to those used by big companies like Baidu and Alibaba.
- You can register with your phone number and start using it online for free.

This tool simplifies report development, reduces development time, and saves costs, making it a great choice for businesses needing professional yet easy-to-use reporting solutions.

https://github.com/jeecgboot/JimuReport

#python #artificial_intelligence #dag #data_science #data_visualization #dataflow #developer_tools #machine_learning #notebooks #pipeline #python #reactive #web_app

Marimo is a powerful tool for Python users that makes working with notebooks much easier and more efficient. Here’s what it offers When you run a cell or interact with UI elements, marimo automatically updates dependent cells, keeping your code and outputs consistent.
- **Interactive** Marimo ensures no hidden state and deterministic execution, making your work reliable.
- **Executable** Notebooks are stored as `.py` files, making version control easy.
- **Modern Editor**: It includes features like GitHub Copilot, AI assistants, and more quality-of-life tools.

Using marimo helps you avoid errors, keeps your code organized, and makes sharing and deploying your work simpler.

https://github.com/marimo-team/marimo

#python #agent #ai #data_visualization #database #llm #rag #sql #text_to_sql

Vanna is a tool that helps you generate SQL queries easily. Here’s how it works: you train a model with your database information, and then you can ask questions to get the corresponding SQL queries. This process is simple and doesn't require you to know the technical details underneath. The benefits include high accuracy, security since your data stays local, and the ability to use it with any SQL database. You can also customize the interface to suit your needs, such as using Jupyter Notebooks, Slack, or web apps. This makes it easier and faster to work with your database without writing complex SQL queries manually.

https://github.com/vanna-ai/vanna

#typescript #alerting #analytics #business_intelligence #dashboard #data_visualization #elasticsearch #go #grafana #hacktoberfest #influxdb #metrics #monitoring #mysql #postgres #prometheus

Grafana is a free tool that helps you monitor and understand your data. You can use it to create graphs, dashboards, and alerts for your metrics and logs. It allows you to mix data from different sources and explore your data in various ways. You can also share dashboards with your team and set up notifications for important changes. This helps you make better decisions based on your data and keeps your team informed. To get started, you can download Grafana and follow the installation guides.

https://github.com/grafana/grafana