Python for Software Engineering
Software Engineering is a highly sought-after field in today's digital era, with demand projected to rise even further as technology becomes increasingly integrated into daily operations for individuals and organizations alike.
Moreover, Software Engineering offers attractive job prospects, including lucrative opportunities with flexible work arrangements, especially in the post-COVID landscape where remote work has become more prevalent. However, securing a Software Engineering position can be fiercely competitive, often involving rigorous interview processes.
This course is designed to transform you from a complete novice in programming to possessing the technical expertise required to thrive as a Software Engineer in the tech industry. You will learn the fundamentals of building and testing APIs and web services, which are the cornerstone of software engineering work, using Python, a prevalent and widely adopted programming language.
What sets this course apart is the breadth of content covered and the depth of understanding you'll gain. You will master writing well-structured, thoroughly tested, and production-ready code that meets professional standards, exceeding the level typically expected for hobby projects.
By the course's conclusion, you will feel confident in your ability to develop applications, possess a valuable portfolio, and be equipped to pursue Software Engineer roles and navigate technical interviews.
This course is ideal for:
- Individuals with no prior programming experience who aspire to learn programming and embark on a career as a Software Engineer.
- No prior programming knowledge is necessary, as the course will cover all essential concepts comprehensively.
Key Learning Objectives:
- Writing clean and efficient Python code.
- Developing robust APIs using Python.
- Acquiring the skills essential for working as a software engineer.
- Conducting thorough testing of code.
- Building scalable applications.
- Interfacing with databases programmatically.
- Implementing caching mechanisms in code.
- Utilizing GitHub for automated testing and deployment.
- Harnessing Docker for creating containerized applications.
Python for Software Engineering
Any pre-loaded packaged materials or subscription-based products, including device-based training programs, and courses that include a device, may not be refunded. Digital products including DVDs may be returned for replacement if found defective
Free Shipping on all orders within the US. International shipping is available.