Introduction to Computer Science and Programming Using Python
About this Course
This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. This run features lecture videos, lecture exercises, and problem sets using Python 3.5. Even if you previously took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses, or enroll now to refresh your learning. Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. The goal is 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. That said, they are not "computation appreciation" courses. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their willCreated by: Massachusetts Institute of Technology
Level: Introductory
Related Online Courses
Malicious software, or malware, is typically delivered over a network and is designed to cause disruption to a computer, client, server, or network. Disruptions can include leaked private... more
In this course, you will examine the various areas of network security including intrusion detection, evidence collection and defense against cyber attacks. The issues and facilities available to... more
About the Database Series of Courses "Databases" was one of Stanford's three inaugural massive open online courses in the fall of 2011. It has been offered in synchronous and then in self-paced... more
Con este curso, el alumnado será capaz de aprender y entender los conceptos básicos de visión por computador, además de implementar de forma práctica algoritmos de análisis de imágenes a través... more
This course is designed for developers who have built or are building microservices and have experienced a high degree of friction in cloud native application development. Developers looking to... more