Based on our record, Pandas seems to be a lot more popular than PostgreSQL. While we know about 199 links to Pandas, we've tracked only 15 mentions of PostgreSQL. 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.
I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS. - Source: dev.to / about 2 months ago
According to the documentation, crate sqlx is implemented in Rust, and it's database agnostic: it supports PostgreSQL, MySQL, SQLite, and MSSQL. - Source: dev.to / 8 months ago
Solution is just downloading and installilng pgAdmin from official pgAdmin homepage version, not the one that is included in the postgresql.org package. Source: 10 months ago
SQL immediately stands out here because it was designed for making relational algebra, the other side of the Entity-Relationship model, accessible. There are likely more people who know SQL than any programming language (for IaC) or data format you could choose to represent your cloud infrastructure. Many non-programmers know it, as well, such as data scientists, business analysts, accountants, etc, and there is... - Source: dev.to / about 1 year ago
Vapor[0] based on Swift. Advantage of this is that you don't have to evaluate multiple frameworks for Swift and suffer paralysis by analysis. All the Swift community is behind one framework. The next is Actix[1] based on Rust. There are many frameworks in Rust and most of them have not reached 1.0 And which framework will survive becomes a question. Other not so well-known is Wt[2] based on C++. This actually is... - Source: Hacker News / over 1 year ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 2 days ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 20 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 14 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
MySQL - The world's most popular open source database
NumPy - NumPy is the fundamental package for scientific computing with Python
Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
SQLite - SQLite Home Page
OpenCV - OpenCV is the world's biggest computer vision library