Discover the power of Julia, an open-source programming language designed for scientific computing and data science, in this comprehensive tutorial tailored for Python programmers. Gain hands-on experience with Julia's rich abstractions and efficient native code compilation via LLVM. Explore the language's capabilities for interactive data analysis and visualization, making it ideal for technical and scalable computing. Learn enough Julia to confidently attend the "Data Science with Julia" session and begin developing your own applications. Organized by Johannes P. Blaschke from Lawrence Berkeley National Laboratory, this 1 hour 55 minute session was presented at the 2022 SIAM Conference on Mathematics of Data Science in San Diego, California.