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متى تحتاج المتاجر الإلكترونية إلى تقنيات Front-End متقدمة مثل React؟
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متى تحتاج المتاجر الإلكترونية إلى تقنيات Front-End متقدمة مثل React؟

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Full Stack Python Developer
Python has become one of the most popular programming language ever since the growth of Data Science, Machine Learning and Artificial Intelligence etc., over the years. In the web application development, python has a large number of modules, libraries, framework like Django, Flask etc to make web development easier. You need to follow a roadmap to become a Full Stack Python Developer.
Some major roles of Full Stack Developers are as follows:
Designing User Interface (UI)
Developing Backend Business Logic
Handling Server and Database connectivity and operations
Developing API to interact with external applications
Integrating third party widgets into your application
Unit Testing and Debugging
Testing and Hosting on Server
Collaborating with cross-functional teams to deliver innovative solutions that meet customer requirement and expectations.
To become a Full Stack Python Web Developer, you need to be proficient in HTML, CSS and Java Script, have a good knowledge of database management, good understanding of the libraries, framework like Django, Flask, CherryPy etc which will help in streamlining the process of writing web applications. Frameworks are collections of modules or packages that provide a default application structure facilitating quick and easy development of web applications. These frameworks ease the development of both the front-end (HTML, CSS, JavaScript, PyScript, Brython etc) , back-end (Django, Flask, CherryPy, Pyramid ) and Database Management tasks to design, manipulate, and decipher queries (MySql, MongoDB, SQLite), GIT etc for web application development.
if you wish to make a career in Data Science, you need to have a good understanding of mathematics and statistics, good understanding of the database concepts, understanding of various libraries and tools associated with Python, various Algorithms used for Machine Learning, Artificial Intelligence, NLP, Manipulating data, Data Analytics and Visualization etc. if you are performing tasks like Automation, Data Analytics, machine learning, robotics, chatbot with AI etc python does make your life easier.
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techbug 데꾸벅 (@atprompt):
11. 6. 6. 17:14
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