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Pandas VS Codeship

Compare Pandas VS Codeship and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Codeship logo Codeship

Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Codeship Landing page
    Landing page //
    2023-10-19

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Codeship videos

+ Add

LinuxFest Northwest 2017: Continuous Delivery to Microsoft Azure with Docker through Codeship

More videos:

  • Review - The Codeship -- Continuous Deployment made simple

Category Popularity

0-100% (relative to Pandas and Codeship)

Pandas

Codeship

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Continuous Integration
0 0%
Continuous Integration
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
DevOps Tools
0 0%
DevOps Tools
100% 100

User comments

Share your experience with using Pandas and Codeship. For example, how are they different and which one is better?
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Reviews

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

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

Codeship Reviews

10 Jenkins Alternatives in 2021 for Developers
You could consider using CodeShip to help you to optimize CI/CD cloud deployment. CodeShip can be used by just about any type of development team that looks to increase the efficiency and automation of their code delivery. You can get started within minutes and gain access to an incredible amount of control when setting everything up. The customization options will seem...
Source: solutionsuggest.com
The Best Alternatives to Jenkins for Developers
CodeShip is a hosted continuous integration and continuous delivery platform found by CloudBees. It provides fast feedback and customized environments to build applications. It provides integration with almost anything and is good at helping you scale as per your needs. It comes free for up to 100 monthly builds.
Source: www.lambdatest.com

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 199 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.

Pandas mentions (199)

  • 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 / 29 days 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 1 month 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 / 3 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 / 6 months ago
View more

Codeship mentions (0)

We have not tracked any mentions of Codeship yet. Tracking of Codeship recommendations started around Mar 2021.

What are some alternatives?

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

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

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

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

Travis CI - Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.

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