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PYTHON LIBRARY

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  PYTHON LIBRARY - SEABORN By :- Dibakar Bera Overview Seaborn is a popular data visualization library for Python. Seaborn combines aesthetic appeal and technical insights – two crucial cogs in a data science project. Learn how it works and the different plots you can generate using seaborn. Installing Seaborn  Before using Seaborn, we need to install it and here I am going to show various ways of installing it on your computer. Using Pip Installer                                      pip install seaborn Using Anaconda                                     conda install seaborn You can also install the development version of Seaborn directly from GitHub by using this command in the command prompt.            pip install git+https://github.com/mwaskom/seaborn.git#egg=...
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PYTHON LIBRARY - PANDAS

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Pandas is a Python library. Pandas is used to analyze data. Install Process:-  1. First Install python  2. Then pip install pandas 
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No-code Development

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  No-code development is a type of web development that allows non-programmers and programmers to create software using a graphical user interface, instead of writing code. The no-code movement rests upon the fundamental belief that technology should enable and facilitate creation, not be a barrier to entry. So much that we do in our day to day lives is powered by code.  ‍ For the majority of us who lack the know-how in writing code, the idea of crafting a web app, or building a website seems forever out of reach. But what was once a space that only developers and those well-skilled in coding could navigate, is now open to everyone.  ‍ Where app development and launching web applications was once only possible by skilled programmers, no-code development platforms, along with the wealth of tutorials out there can get anyone on their way to getting their ideas out there. Being a non-programmer no longer matters. ‍ No-code is simply an abstraction layer over code. Meaning, i...
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Artificial Intelligence and Robotics

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Physical robots have been around for almost a hundred years, but not without their limitations. In the 1990s the idea of the collaborative robot, or cobot, emerged to help find ways to put robots in closer proximity to humans, but it is only through the inclusion of AI that robotics can continue to progress.                                              While the term robotics conjures up visions of hardware machines performing a wide range of tasks, the term robot is now used to describe any sort of software or hardware-based automation that can perform a task. However, many of these software robotics systems are limited in their ability and are not able to communicate with other systems or robots to carry out these tasks. With the addition of machine learning, robots and cobots can improve their communication and handle even more complex tasks without the normal risk assoc...
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