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Autor Tópico: Python on the Backend  (Lida 173 vezes)

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Python on the Backend
« em: 28 de Agosto de 2020, 16:17 »

Python on the Backend
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.59 GB
Genre: eLearning Video | Duration: 26 lectures (2 hour, 58 mins) | Language: English
 Learn python back end development, build a website or APIs in Python, designed for students with Mac or Windows

What you'll learn

    Build cool web applications and APIs for other clients to consume
    Learn how to serve a basic website with Python as the back end
    Turn your existing Python libraries into web APIs to be consumed by other developers with other languages
    Install, use and deploy Jupyter Notebooks
    Learn how to Implement Load Balancing for your Backend Python services
    Learn Backend Database programming with Python and PostgresSQL: connect, query, write and commit transactions.

Requirements

    Able to understand basic programming principles

Description

Do you know Python and want to take it to the next level? How about writing a website in Python, or an API so your fellow developers can consume in JSON over simple HTTP. With the boom of microservices and API, developers who are used to working with Python writing scripts can now take their knowledge to the backend. This course will teach you the basic of web servers, how to setup the Python Web server and write interesting cool applications on the backend. By the end of the course you will be read to take on the world and write your own services and APIs, read and write from databases, do sophisticated load balancing on your Python services, work with Jupyter notebooks and much much more!

Who this course is for:

    Beginner Python developers interested in building HTTP web APIs in Python
    Experienced Python developers who want to expose their Python libraries as a web service for other developers
    Data scientists who want to do heavy computational workload on the backend using vanilla Python or Jupyter notebooks
    Developers who want to use Python to build APIs that write to a backend database

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