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Python

  1. UT Arlington's Cloud Engineering Bootcamp with Edgar Ayala and Course Report's Jess Feldman

    UT Arlington's Cloud Engineering Bootcamp with Edgar Ayala and Course Report's Jess Feldman

    Categories: Cloud Computing , Microsoft , Linux , Career Driven , Programming Language , Learning , Study Guides , Python

    Jess Feldman, content manager for Course Report, met with Edgar Ayala virtually to talk about his experience with a university IT bootcamp. Ayala is a recent alum of UT Arlington’s Cloud Engineering Bootcamp powered by QuickStart (watch the full video here). 

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  2. All About Python

    All About Python

    Categories: Artificial Intelligence , Career Driven , Programming Language , Learning , Technology Comparison , Python

    Python is one of the most popular programming languages in existence, a distinction it has enjoyed for years. Programmers all over the world use Python for a variety of projects, including artificial intelligence, machine learning, web development, desktop applications, and more. 

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  3. Why Python Is the Perfection Language for ML

    Why Python Is the Perfection Language for ML

    Categories: Python

    In this world of technology, it is considered that Machine Learning (ML) is one of the fastest-growing areas. It is an artificial intelligence app, where systems can automatically learn and improve their skills, understanding them without special programming. However, it more than analyzing data patterns, if people want to work in the respective field, they have to learn special programming languages and skills. Creating an intelligent algorithm requires an expert to process, practice, define, organize, and understand the data.

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  4. HOW TO BUILD AN ANALYTIC DATA PIPELINE IN PYTHON

    How to Build an Analytics Data Pipeline in Python

    Categories: Data analysis and visualization , Python

    A data pipeline is a sequence of steps in data preprocessing. Data pipelines allow you to use a series of steps to convert data from one representation to another. A key part of data engineering is data pipelines. A common use case for a data pipeline is to find details about your website’s visitors. Like in Google Analytics, you know the importance of visitors seeing real-time and historical data. Then there are a series of steps in which each step delivers an output which is an input to the next step. This continues until it is full of the pipeline. In certain instances, it is possible to run separate steps in parallel. Data pipelines carry raw data to data warehouses for use by analytics business intelligence (BI) tools from software-as-a-service (SaaS) service systems and database sources. By writing code and manually interfacing with source databases, developers can create pipelines themselves.

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  5.   How is Python Used for Data Science?

    How is Python Used for Data Science?

    Categories: Data Science , Python

    Python is an excellent tool that is used all around the world for the sake of web development and cloud computing systems. There is more to Python then you can ever imagine. It is not merely a programming language; when you come to realize how it is already running a vast network of security systems, websites along with information security. Only then can you start to give it some credit and attention that the language deserves.

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  6. 20 best Python AI and Machine Learning Open-Source Projects

    20 Best Python AI and Machine Learning Open-Source Projects

    Categories: Python

    AI and machine learning are more advanced topics to learn. Python is the most popular language to use in AI and ML implementations. A good way to remain informed and educated about the advancements of ML is to interact with the community by contributing to the many open-source projects and resources that are used every day by advanced professionals. Here is the list of the top 20 Python open-source projects using AI and ML.

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  7. Using Python to Work on Advanced Data

    How to Use Python to Work on Advanced Data

    Categories: Data Science , Python

    Many programming languages have been used to work on advanced data but the one that has remained above all is one and only Python. It is a general-purpose programming language that can be used to perform a large number of functions, from developing video games to having a role in Machine Learning. Python has been the go-to language of miscellaneous scientists and analysts to work on the advanced data.

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  8. Deep Learning with Python: Starter Guide

    Deep Learning with Python: Starter Guide

    Categories: Python

    In 2020, many pages have been turned in the book of technological advancements but Deep Learning has been, by far, the most indispensable and hottest topic. Many Data Scientists and Analysts believe that such advancements in the programs of computers or machines may replace humans in the future. There is a reason behind making such a statement and this is what we are going to disclose in this guide.

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