Software Alternatives & Reviews

Visual Studio Code VS Pandas

Compare Visual Studio Code VS Pandas and see what are their differences

Visual Studio Code logo Visual Studio Code

Build and debug modern web and cloud applications, by Microsoft

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Visual Studio Code Landing page
    Landing page //
    2023-09-16
  • Pandas Landing page
    Landing page //
    2023-05-12

Visual Studio Code videos

My New Favorite Text Editor - Visual Studio Code

More videos:

  • Review - 7 reasons why I switched to Visual Studio Code from Sublime Text

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to Visual Studio Code and Pandas)
Text Editors
100 100%
0% 0
Data Science And Machine Learning
IDE
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Visual Studio Code and Pandas

Visual Studio Code Reviews


Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Previously, VS Code was more suited to developers or engineers due to its lack of data analysis capabilities, but since 2020, the VS Code team has collaborated with the Jupyter team to create an integrated notebook within VS Code. The end result is a fantastic IDE workbook for data analysis.
Source: lakefs.io
20 Best Diff Tools to Compare File Contents on Linux
Visual studio code is a code editor made by Microsoft. It supports several development operations like debugging, task running, and version control. It works on Linux, macOS and Windows operating systems.
Source: linuxopsys.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
Having a bullet-proof solution like VSCode is wonderful, but sometimes you want a specialized solution. PyCharm is an IDE built exclusively for Python. As you would imagine, this means it is the most feature-rich.
The Top 7 Notepad++ Alternatives for You
If you are looking for a text editor that will assist you to edit and debug your code then Visual Studio Code is a good Notepad++ alternative. When I first used Visual Studio Code I found the really minimal interface quite surprising. If you want even less then you can go into “Zen” mode that hides almost everything.
DBeaver v. MySQL Workbench v. POPSQL v. Visual Studio Code.
Visual Studio Code is a lightweight but powerful source code editor which runs on your desktop and is available for Windows, macOS and Linux. It comes with built-in support for JavaScript, TypeScript and Node.js and has a rich ecosystem of extensions for other languages (such as C++, C#, Java, Python, PHP, Go) and runtimes (such as .NET and Unity).
Source: medium.com

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Visual Studio Code should be more popular than Pandas. It has been mentiond 1017 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.

Visual Studio Code mentions (1017)

  • How to Handle File Uploads with ASP.NET Core
    An IDE or text editor; we'll use Visual Studio 2022 for this tutorial, but a lightweight IDE such as Visual Studio Code will work just as well. - Source: dev.to / 1 day ago
  • How to Scrape Google Finance
    Choosing IDE: Selecting the right Integrated Development Environment (IDE) can make your coding experience smoother. Consider popular options like as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and configure it to work with Python. - Source: dev.to / 2 days ago
  • Tools that keep me productive
    It all starts with the editor. Visual Studio Code (VS Code) is my go-to editor. I was using the Insider’s Edition for the longest time, but some extensions would try to log in and redirect to VS Code regular edition, so I decided to go back to it. That said, VS Code Insider's is very stable. - Source: dev.to / 3 days ago
  • Developing a Generic Streamlit UI to Test Amazon Bedrock Agents
    Meanwhile, a developer workflow that does not require access to AWS Management Console may provide a better experience. As a developer, I appreciate having an integrated development environment (IDE) such as Visual Studio Code where I can code, deploy, and test in one place. - Source: dev.to / 3 days ago
  • How to make ESLint and Prettier work together? 🛠️
    Good to know: If you're a Visual Studio Code user, you can enhance your coding experience by installing the ESLint and Prettier extensions. These extensions provide real-time error and warning highlighting, as well as automatic formatting and code fixing on save. - Source: dev.to / 3 days ago
View more

Pandas mentions (198)

  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    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 / 18 days ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    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 / 11 days ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    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
  • Stuff I Learned during Hanukkah of Data 2023
    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
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing Visual Studio Code and Pandas, you can also consider the following products

Atom - At GitHub, we’re building the text editor we’ve always wanted: hackable to the core, but approachable on the first day without ever touching a config file. We can’t wait to see what you build with it.

NumPy - NumPy is the fundamental package for scientific computing with Python

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Vim - Highly configurable text editor built to enable efficient text editing

OpenCV - OpenCV is the world's biggest computer vision library