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A Comprehensive Guide to Common Git Commands in Data Science

Analytics Vidhya

Introduction Git is a powerful version control system that plays a crucial role in managing and tracking changes in code for data science projects. Whether you’re working on machine learning models, data analysis scripts, or collaborative projects, understanding and utilizing Git commands is essential.

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List append() Method in Python: All You Need To Know

Analytics Vidhya

Introduction While working on one of the client’s projects, the developer is working on a program to create the code to keep a record of all the items in a basket. In that project, Project Manager decided to use the Python programming language due to its object-oriented and functional programming nature.

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Isolated Python Environments using Docker

Analytics Vidhya

Introduction While working with multiple projects, there are chances of issues with versions of packages in python; for example, a project needs a new version of a package, and another requires a different version. Sometimes the python version itself changes from project to project.

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20 traits of highly effective project managers

CIO Business Intelligence

To thrive, project managers need to have and hone a complex combination of technical, business, and interpersonal skills. Effective project managers must know how to define the scope of a project , identify necessary resources, and schedule those resources — all part of the technical aspect of the job.

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Best Practices for a Marketing Database Cleanse

As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information. This buyers guide will cover: Review of important terminology, metrics, and pricing models related to database management projects.

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Why IT projects still fail

CIO Business Intelligence

IT organizations have worked hard to get away from the problems that had plagued their past project delivery processes. Those changes have indeed helped, but many IT projects still fail. Those changes have indeed helped, but many IT projects still fail. Why do IT projects continue to fail? So what’s going on?

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Webinar Summary: Agile, DataOps, and Data Team Excellence

DataKitchen

Gil outlined how Scrum facilitates a structured yet flexible approach to project management, which is ideal for managing complex data projects. Gil reiterated the importance of adapting these methodologies to fit each organization’s unique needs, suggesting that a pragmatic approach to adoption often works best.

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Innovating and Driving Agility with Tech: No-Code Development

Speaker: Gautam Nimmagadda, CEO, Quixy

Product Managers: are you wondering how your teams will work in the future? Your teams will be able handle more projects, and focus on the real challenges. If so, it's time to look to no-code development. With it, you can leverage hyper automation, strengthen and accelerate growth, and drive value.