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Updated in [June 30th, 2023]

This course, Introduction to Computer Science and Programming Using Python, is designed to help students with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. It is the first of a two-course sequence, with the second course being Introduction to Computational Thinking and Data Science. The course features lecture videos, lecture exercises, and problem sets using Python 3.5. It is designed to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. The course is challenging and rigorous, and students will spend a lot of time and effort learning to bend the computer to their will.

[Applications]
Those who have completed the Introduction to Computer Science and Programming Using Python course are encouraged to apply their newfound knowledge to real-world problems. They can use the Python programming language to develop applications, create data visualizations, and analyze data. Additionally, they can use the concepts learned in the course to explore more advanced topics in computer science and programming.

[Career Paths]
One job position path that is recommended to learners of this course is a Python Developer. Python Developers are responsible for writing and testing code, debugging programs and integrating applications with third-party web services. They also develop back-end components, connect applications with other web services, and support front-end developers by integrating their work with the Python application. Python Developers must have a strong understanding of object-oriented programming, web application development, and software engineering principles.

The development trend for Python Developers is very positive. Python is becoming increasingly popular in the software development industry, and the demand for Python Developers is growing rapidly. Companies are looking for developers who can create efficient, reliable, and secure applications using Python. As the demand for Python Developers increases, salaries for these positions are also increasing. Additionally, Python Developers are in high demand in the fields of data science, machine learning, and artificial intelligence, making it a great career path for those interested in these areas.

[Education Paths]
The recommended educational path for learners of this course is to pursue a Bachelor's degree in Computer Science. This degree typically requires four years of study and covers a wide range of topics, including programming, software engineering, computer architecture, operating systems, databases, networks, artificial intelligence, and more. Students will learn the fundamentals of computer science, including algorithms, data structures, and programming languages, as well as the principles of software engineering and computer architecture. They will also gain experience in developing software applications and systems, and will be able to apply their knowledge to solve real-world problems.

The development trend of computer science is rapidly evolving, with new technologies and applications being developed every day. As a result, computer science degrees are becoming increasingly specialized, with students focusing on specific areas such as artificial intelligence, machine learning, data science, and cybersecurity. Additionally, many universities are now offering online and hybrid programs, allowing students to pursue their degree from anywhere in the world.