Full-Stack Python Web Development

Categories: Computer Courses, Web Development

About Course

A Full-Stack Python Web Development course covers frontend (HTML, CSS, JavaScript) and backend (Python, Django/Flask) development. Students learn to build dynamic, database-driven websites and applications, mastering frameworks like Django or Flask. Emphasis is placed on creating responsive, scalable, and secure web solutions, preparing learners for careers as proficient Full-Stack Python developers.

Frontend Development: HTML, CSS, JavaScript for creating interactive user interfaces.
Backend Development: Python programming for server-side logic.
Frameworks: Django or Flask for efficient web application development.
Database Management: Working with databases like SQLite, PostgreSQL, or MySQL.
RESTful APIs: Building and consuming APIs for communication between frontend and backend.
Deployment: Deploying web applications on servers using platforms like Heroku or AWS.
Security: Implementing security measures to protect web applications from common threats.
Version Control: Using Git for collaborative development and managing code versions.
Testing and Debugging: Techniques for testing and debugging Python code.
Project Management: Organizing and managing web development projects effectively.

Course Content

Introduction to Full-Stack Development

Overview of Full-Stack Development
Understanding Client-Server Architecture
Introduction to Python as a Full-Stack Language
Setting Up the Development Environment

Hyper Text Markup Language (HTML)

Cascading Style Sheets (CSS)

JavaScript (JS)

JavaScript Library- ReactJS

Database Management

Python Programming

A course by

Naveen Kumar Singh

Trainer || Mentor

Textbooks and Online Resources: Comprehensive textbooks covering Python, Django, Flask, HTML, CSS, JavaScript, and related topics, along with access to online tutorials, documentation, and forums.
Video Lectures: Recorded lectures or video tutorials explaining concepts, demonstrations, and walkthroughs of coding exercises and projects.
Coding Exercises and Projects: Hands-on coding exercises and projects to apply theoretical knowledge, reinforce learning, and build real-world applications.
Sample Code: Access to sample code and templates for reference and practice.
Quizzes and Assessments: Regular quizzes, assignments, and assessments to evaluate understanding and progress.
Interactive Online Platforms: Access to interactive online platforms or learning management systems (LMS) where students can access course materials, submit assignments, and engage with instructors and peers.
Community Support: Access to online forums, discussion groups, or communities where students can ask questions, share insights, and collaborate with fellow learners.
Additional Resources: Supplementary materials such as cheat sheets, reference guides, and supplementary readings to deepen understanding and explore advanced topics.
Support and Feedback: Guidance and feedback from instructors or teaching assistants to address questions, provide clarification, and offer constructive criticism on projects and assignments.

Prerequisites: Basic understanding of programming concepts and familiarity with Python language fundamentals.
Hardware Requirements: Access to a computer with a reliable internet connection. Specific hardware requirements may vary depending on the course provider.
Software Requirements: Installation of necessary software such as Python, Django or Flask framework, text editor (e.g., Visual Studio Code, Sublime Text), and web browsers.
Course Access: Enrollment in the course through a learning platform or website. This may involve creating an account, purchasing the course, or accessing it through an educational institution.
Attendance and Participation: Regular attendance and active participation in lectures, discussions, and assignments may be required for successful completion of the course.
Assignments and Projects: Completion of coding exercises, assignments, and projects according to given instructions and deadlines. Submission guidelines and evaluation criteria will be provided.
Assessment: Quizzes, tests, and assessments may be conducted periodically to evaluate understanding and progress. Instructions for accessing and completing assessments will be provided.
Communication Channels: Information on communication channels such as email, discussion forums, or chat platforms for contacting instructors, teaching assistants, and fellow students for questions and support.
Feedback and Support: Availability of instructors or teaching assistants for providing feedback, clarification, and assistance throughout the course duration. Instructions for seeking help and support will be provided.
Completion Criteria: Clear instructions on the criteria for successful completion of the course, including minimum passing grades, project requirements, and any additional milestones or certifications offered.

Beginner Programmers: Individuals new to programming seeking to start a career in web development.
Students: Those studying computer science, software engineering, or related fields.
Career Changers: Professionals from non-technical backgrounds aiming to transition into web development roles.
Self-learners: Enthusiasts interested in acquiring skills in Python web development through online courses or tutorials.
Junior Developers: Entry-level developers looking to enhance their skills and advance in their careers.
Freelancers: Individuals interested in freelancing as web developers or starting their own web development business.
Entrepreneurs: Those wanting to build their own web-based projects or startups and need the technical skills to develop and maintain their platforms.

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