Python Django Web Development Essential

SkillsFuture Course - Python Django Web Development Essential

With Django, you can take web applications from concept to launch in a matter of hours. It's a free and open-source framework that's designed on top of Python and supports data-driven architecture. You will learn how to get up and running with Django and learn how to incorporate CSS and JavaScript to enhance the style and usability of your Django projects.

Topics include:

• Creating a new Django project
• Defining Django models and fields
• Querying data with the Django ORM
• Building views and templates
• Integrating CSS and JavaScript

Module 1 Get Started

• What is Django?
• Install Django
• Create a Django Project
• Create a Simple App

Module 2 Templates

• Render a Web App with Templates
• Jinja Templating

Module 3 Static Files

• Static Files
• CSS Styling
• Bootstrap Framework
• Build a Responsive Website

Module 4: Models & Migration

• Create a Blog App
• Define Models
• Database Fields
• Migration

Module 5: Admin Setup & Query

• Create Superuser
• Add Database to Admin
• Populate Database
• Basic Queries
• Additional Queries

Module 6 Final Challenge

• Building Frontend for Inventory App

Jan Idziak has 5 years of industrial and academic experience in Data Science, Deep Learning, and Data Visualizations. This year, he was invited to the Country of Australia to conduct and moderate Statistical Data Analysis with the Mathematics in Industry Study Group (MISG) in association with University of South Australia.Working across wide range of projects and sectors, he has designed various statistical models and machine learning tools, including portfolio pricing engines, customer segmentation systems, or product recommenders. When he worked in Business Intelligence department in Banking sector, as well as for United Nations, he was transforming raw data into meaningful and actionable insights. During his time as a president of the Financial Engineering Association, he organized few conferences and provided support and training for other members of the association. He has been providing coaching on topics such as scoring models, predictive modelling, personalized recommendation systems, deep learning, data visualization, or natural language processing;

Jan specializes in data analysis, visualization, and R package development. His main technical skill set consists of languages/tools like Python, SPSS, Statistica, Matlab, R, JS, D3, html, R (including shiny, Rmarkdown, and package development). In addiction, he has strong knowledge on most of the data mining algorithms, modern visualization and summarizing techniques.

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