Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
DBeaver
DataGrip
HeidiSQL
MySQL Workbench
phpMyAdmin
DbVisualizer
Sequel Pro
SQL Developer
Pandas DBeaverPandas is particularly recommended for data scientists, analysts, and engineers who need to perform data cleaning, transformation, and analysis as part of their work. It is also suitable for academics and researchers dealing with data in various formats and needing powerful tools for their data-driven research.
Based on our record, Pandas should be more popular than DBeaver. It has been mentiond 219 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Libraries for data science and deep learning that are always changing. - Source: dev.to / 29 days ago
# Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 2 months ago
As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 2 months ago
Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 4 months ago
This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
I agree! I still sometimes use LibreOffice Base for quick prototyping [0] or Microsoft Access if I am on Windows. It uses HSQLDB by default but you can connect to several external JDBC, ODBC and ADO compatible databases, though I often use DBeaver for that purpose. [1] [0] https://en.wikipedia.org/wiki/LibreOffice_Base [1] https://dbeaver.io/. - Source: Hacker News / 18 days ago
Install DBeaver if you haven't already (available at dbeaver.io). - Source: dev.to / about 1 month ago
By making RisingWave compatible with PostgreSQL, we ensured that any developer familiar with SQL could immediately start writing streaming queries. This wasn't just about syntax; it meant RisingWave could plug seamlessly into existing data workflows and connect easily with a vast ecosystem of familiar tools like DBeaver, Grafana, Apache Superset, dbt, and countless others. - Source: dev.to / about 1 month ago
❔ We may also connect to our DB, for example, via Database Tool: DBeaver And we see our DB with the name yuit-chart-db. - Source: dev.to / 6 months ago
> browser based For whatever reason, this is the main limiting factor, because local software can be really good, for example: DBeaver - pretty nice and lightweight local tool for a plethora of databases https://dbeaver.io/ DataGrip - commercial product, but you'll feel right at home if you use other JetBrains products https://www.jetbrains.com/datagrip/ DbVisualizer - really cool tool that helps you explore messy... - Source: Hacker News / 6 months ago
NumPy - NumPy is the fundamental package for scientific computing with Python
DataGrip - Tool for SQL and databases
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
HeidiSQL - HeidiSQL is a powerful and easy client for MySQL, MariaDB, Microsoft SQL Server and PostgreSQL. Open source and entirely free to use.
OpenCV - OpenCV is the world's biggest computer vision library
MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.