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Conda VS Pandas

Compare Conda VS Pandas and see what are their differences

Conda logo Conda

Binary package manager with support for environments.

Pandas logo Pandas

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

Conda videos

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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 Conda and Pandas)
Front End Package Manager
Data Science And Machine Learning
Package Manager
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 Conda and Pandas

Conda Reviews

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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, Pandas should be more popular than Conda. It has been mentiond 201 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.

Conda mentions (29)

  • Introducing Flama for Robust Machine Learning APIs
    When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage... - Source: dev.to / 6 months ago
  • Ask HN: Package management for multiple modules in C++, Python, Java project?
    Conda https://docs.conda.io/en/latest/ ?? I'm not sure, but I used it to download some Python packages. It's an alternative to pip, but I'm not sure about the details. - Source: Hacker News / 7 months ago
  • How To Manage Environment For Data Science Project Using Conda
    Conda is an open-source package management and environment management system that can be used to create different isolated development environments. Conda can be used in place of pipenv to create a virtual environment. - Source: dev.to / 12 months ago
  • Full system upgrade just killed all my python virtualenvs
    Congrats you discovered why Poetry and Conda projects exist! Source: about 1 year ago
  • I need help downloading Python 3.7 on my Steam Deck any help is appreciated!
    Miniconda runs exclusively in userspace and requires no escalated privileges. Source: about 1 year ago
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Pandas mentions (201)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 3 days ago
  • Awesome List
    Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 9 days ago
  • The ultimate guide to creating a secure Python package
    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 / about 1 month ago
  • 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 / about 2 months 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 / about 2 months ago
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What are some alternatives?

When comparing Conda and Pandas, you can also consider the following products

Homebrew - The missing package manager for macOS

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

pkgsrc - pkgsrc is a framework for building over 17,000 open source software packages.

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

Yay - Yay is an AUR helper written in go, based on the design of yaourt, apacman and pacaur.

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