Orland Bishop is a remarkable man who has combined extensive study of medicine, naturopathy, psychology and indigenous cosmologies with a deep dedication to human rights, Founder of the ShadeTree foundation which works with at-risk young people in Los Angeles, Bishop's primary work is around supporting individuals to be open to the higher purpose of their lives.In this fascinating book he reveals the influences on his life and work, in particular the spiritual tradition of African Gnosis, and significant individuals from the history of the African experience in America.Drawing on anthroposophy and other spiritual traditions, he explores the nature of the soul journey, and the quest for community and prosperity.
In the perennial best-seller Art & Fear, Ted Orland (with David Bayles) examined the obstacles that artists encounter each time they enter their studio and stand before a new blank canvas. Now, in The View From The Studio Door, Orland turns his attention to broader issues that stand to either side of that artistic moment of truth. In a text marked by grace, brevity and humor, Orland argues that when it comes to art making, theory and practice are always intertwined. There are timeless philosophical questions (How do we make sense of the world?) that address the very nature of art making, as well as gritty real-world questions (Is there art after graduation?) that artists encounter the moment they’re off the starting blocks and producing work on a regular basis. Simply put, this is a book of practical philosophy. As a teacher and working artist himself, Orland brings authentic insight and encouragement to all those who face the challenge of making art in an uncertain world. The breadth of material covered is reflected in chapters that include Making Sense of the World, Art & Society, The Education of the Artist, Surviving Graduation, Making Art That Matters, The Artistic Community, and more. The View From The Studio Door is the perfect companion piece to Art & Fear, and will appeal to a similar (and already-established) audience of students, working artists, teachers and professionals. For students’ benefit, The View is also modestly priced, with wide page margins for easy note-taking and annotation.
In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! About the book In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks
