scholarly journals A percepção das mulheres sobre a programação - Oficinas de Programação Django Girls

2021 ◽  
Author(s):  
Myrian Noguera Salinas
Keyword(s):  

Numerosas iniciativas têm buscado atrair meninas e mulheres para as carreiras STEM (Ciência, Tecnologia, Engenharia e Matemática) através de diferentes oficinas. Este trabalho têm como objetivo relatar a experiência das oficinas desenvolvidas com meninas do ensino médio e mulheres adultas do Paraguai e Uruguai durante os anos de 2018 e 2019. As oficinas incluíram a criação de um Blog Web com HTML/CSS, Python e Django Web Framework, além de palestras e debates sobre personalidades femininas proeminentes, bem como a inserção feminina na tecnologia. Foram aplicados questionários de percepção onde os dados obtidos também são apresentados, analisados e discutidos.

2021 ◽  
Vol 16 (05) ◽  
pp. T05006
Author(s):  
J.P. Araque Espinosa ◽  
G. Baldi Levcovitz ◽  
R.M. Bianchi ◽  
I. Brock ◽  
T. Carli ◽  
...  

Author(s):  
Anuj Kumar Sewani

Python provide number of frameworks for web development and other applications by Django, Flask, Bottle, Web2py, CherryPy and many more. Frameworks are efficient and versatile to build, test and optimize software. A web framework is a collection of package or module which allows us to develop web applications or services. It provides a foundation on which software developers can built a functional program for a specific platform. The main purpose of this study about python framework is to analyze which is better framework among Django or flask for web development. The study implement a practical approach on PyCharm. The result of this study is - “Django is better than flask”.


2021 ◽  
Vol 5 (4) ◽  
pp. 57
Author(s):  
Yusuf Sermet ◽  
Ibrahim Demir

The COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with different backgrounds and technological resources. However, several challenges and obstacles hold back the wide adoption of virtual assistants by public health departments and organizations. This paper presents the Instant Expert, an open-source semantic web framework to build and integrate voice-enabled smart assistants (i.e., chatbots) for any web platform regardless of the underlying domain and technology. The component allows non-technical domain experts to effortlessly incorporate an operational assistant with voice recognition capability into their websites. Instant Expert is capable of automatically parsing, processing, and modeling Frequently Asked Questions pages as an information resource as well as communicating with an external knowledge engine for ontology-powered inference and dynamic data use. The presented framework uses advanced web technologies to ensure reusability and reliability, and an inference engine for natural-language understanding powered by deep learning and heuristic algorithms. A use case for creating an informatory assistant for COVID-19 based on the Centers for Disease Control and Prevention (CDC) data is presented to demonstrate the framework’s usage and benefits.


2018 ◽  
Vol 23 (3) ◽  
pp. 726-738 ◽  
Author(s):  
Mohamed Raouf Ghali ◽  
Jean‐Marc Frayret

Author(s):  
Eric Braun ◽  
Clemens Düpmeier ◽  
Daniel Kimmig ◽  
Wolfgang Schillinger ◽  
Kurt Weissenbach

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