This should be the last course a student takes before high school biology. Typically, we recommend that the student take this course during the same year that he or she is taking prealgebra. Exploring Creation With Physical Science provides a detailed introduction to the physical environment and some of the basic laws that make it work. The fairly broad scope of the book provides the student with a good understanding of the earth's atmosphere, hydrosphere, and lithosphere. It also covers details on weather, motion, Newton's Laws, gravity, the solar system, atomic structure, radiation, nuclear reactions, stars, and galaxies. The second edition of our physical science course has several features that enhance the value of the course: * There is more color in this edition as compared to the previous edition, and many of the drawings that are in the first edition have been replaced by higher-quality drawings. * There are more experiments in this edition than there were in the previous one. In addition, some of the experiments that were in the previous edition have been changed to make them even more interesting and easy to perform. * Advanced students who have the time and the ability for additional learning are directed to online resources that give them access to advanced subject matter. * To aid the student in reviewing the course as a whole, there is an appendix that contains questions which cover the entire course. The solutions and tests manual has the answers to those questions. Because of the differences between the first and second editions, students in a group setting cannot use both. They must all have the same edition. A further description of the changes made to our second edition courses can be found in the sidebar on page 32.

Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations. You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get starter code and solutions to help you re-implement and extend original experiments in complexity Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics Examine case studies of complex systems submitted by students and readers