Julian Styles is a prominent educator, software engineer, and author at the forefront of blending mathematics with programming. With more than 15 years in technology and academia, he focuses on making intricate math concepts approachable via coding, targeting audiences from novices to experts. His 2025 publication, "Master Math by Coding in Python: Hands-On Projects to Build Your Math Skills from Beginner to Advanced," showcases this method by merging Python tutorials with topics like algebra, calculus, trigonometry, linear algebra, probability, and number theory. Utilizing libraries such as NumPy, SymPy, SciPy, and Matplotlib, the book offers practical projects, debugging advice, and real-world applications to enhance problem-solving and visualization skills.
Born in Seattle in 1985 to a family of educators—his mother a math teacher and father a civil engineer—Styles developed an early fascination with numbers and computers. He excelled in high school math and coding competitions, leading to a dual degree in Mathematics and Computer Science from the University of Washington in 2007, where he graduated summa cum laude. His thesis on algorithmic optimization laid the groundwork for his career in applied mathematics.
Post-graduation, Styles worked at Microsoft on Azure's data analysis tools, sharpening his Python expertise. In 2010, he earned a Master's in Applied Mathematics from Stanford, researching numerical methods for differential equations while teaching programming to math students. These experiences fueled his passion for educational innovation.
In 2012, Styles started "MathCode Nexus," a blog with tutorials on Python for math, like fractal graphing with Matplotlib or probability simulations with SciPy, amassing a large following. This led to his 2015 book "Python for Math Enthusiasts" with O'Reilly, which sold over 50,000 copies and praised for simplifying NumPy for beginners. His 2018 follow-up, "Advanced Math Simulations in Python," covered Fourier transforms and Monte Carlo methods, becoming a key text in universities.
By 2020, Styles joined MIT as an adjunct professor, creating computational math courses. During the pandemic, he shared open-source Jupyter notebooks on GitHub, forked over 10,000 times and adopted by schools like Harvard. His work reflects 2025 trends in STEM education, emphasizing Python for AI and data fields.
Styles has consulted for Google and Amazon, developing tutorials for TensorFlow in mathematical modeling with an emphasis on ethics. He founded the "CodeMath Initiative" in 2019, a nonprofit offering free workshops to underrepresented youth in STEM, reaching over 5,000 participants through partnerships like Girls Who Code.
Styles' philosophy: "Math thrives when code brings it to life." His latest book features hands-on exercises, from arithmetic scripts to 3D visualizations and optimization, ideal for self-learners and classes. Reviewers hail it as transformative for math education, aligning with machine learning's math foundations.
Residing in Boston with his family, Styles enjoys hiking and astronomy, often using environmental data in examples. He mentors coders and speaks at PyCon and MathFest. Upcoming, he's authoring a sequel on AI-augmented math learning for 2027.
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Born in Seattle in 1985 to a family of educators—his mother a math teacher and father a civil engineer—Styles developed an early fascination with numbers and computers. He excelled in high school math and coding competitions, leading to a dual degree in Mathematics and Computer Science from the University of Washington in 2007, where he graduated summa cum laude. His thesis on algorithmic optimization laid the groundwork for his career in applied mathematics.
Post-graduation, Styles worked at Microsoft on Azure's data analysis tools, sharpening his Python expertise. In 2010, he earned a Master's in Applied Mathematics from Stanford, researching numerical methods for differential equations while teaching programming to math students. These experiences fueled his passion for educational innovation.
In 2012, Styles started "MathCode Nexus," a blog with tutorials on Python for math, like fractal graphing with Matplotlib or probability simulations with SciPy, amassing a large following. This led to his 2015 book "Python for Math Enthusiasts" with O'Reilly, which sold over 50,000 copies and praised for simplifying NumPy for beginners. His 2018 follow-up, "Advanced Math Simulations in Python," covered Fourier transforms and Monte Carlo methods, becoming a key text in universities.
By 2020, Styles joined MIT as an adjunct professor, creating computational math courses. During the pandemic, he shared open-source Jupyter notebooks on GitHub, forked over 10,000 times and adopted by schools like Harvard. His work reflects 2025 trends in STEM education, emphasizing Python for AI and data fields.
Styles has consulted for Google and Amazon, developing tutorials for TensorFlow in mathematical modeling with an emphasis on ethics. He founded the "CodeMath Initiative" in 2019, a nonprofit offering free workshops to underrepresented youth in STEM, reaching over 5,000 participants through partnerships like Girls Who Code.
Styles' philosophy: "Math thrives when code brings it to life." His latest book features hands-on exercises, from arithmetic scripts to 3D visualizations and optimization, ideal for self-learners and classes. Reviewers hail it as transformative for math education, aligning with machine learning's math foundations.
Residing in Boston with his family, Styles enjoys hiking and astronomy, often using environmental data in examples. He mentors coders and speaks at PyCon and MathFest. Upcoming, he's authoring a sequel on AI-augmented math learning for 2027.
MASTER MATH BY CODING IN PYTHON: Hands-On Projects to Build Your Math Skills from Beginner to Advanced Unlock Algebra, Calculus, Graphing, Trigonometry
Julian Styles is a prominent educator, software engineer, and author at the forefront of blending mathematics with programming. With more than 15 years in technology and academia, he focuses on making intricate math concepts approachable via coding, targeting audiences from novices to experts. His 2025 publication, "Master Math by Coding in Python: Hands-On Projects to Build Your Math Skills from Beginner to Advanced," showcases this method by merging Python tutorials with topics like algebra, calculus, trigonometry, linear algebra, probability, and number theory. Utilizing libraries such as NumPy, SymPy, SciPy, and Matplotlib, the book offers practical projects, debugging advice, and real-world applications to enhance problem-solving and visualization skills.
Born in Seattle in 1985 to a family of educators—his mother a math teacher and father a civil engineer—Styles developed an early fascination with numbers and computers. He excelled in high school math and coding competitions, leading to a dual degree in Mathematics and Computer Science from the University of Washington in 2007, where he graduated summa cum laude. His thesis on algorithmic optimization laid the groundwork for his career in applied mathematics.
Post-graduation, Styles worked at Microsoft on Azure's data analysis tools, sharpening his Python expertise. In 2010, he earned a Master's in Applied Mathematics from Stanford, researching numerical methods for differential equations while teaching programming to math students. These experiences fueled his passion for educational innovation.
In 2012, Styles started "MathCode Nexus," a blog with tutorials on Python for math, like fractal graphing with Matplotlib or probability simulations with SciPy, amassing a large following. This led to his 2015 book "Python for Math Enthusiasts" with O'Reilly, which sold over 50,000 copies and praised for simplifying NumPy for beginners. His 2018 follow-up, "Advanced Math Simulations in Python," covered Fourier transforms and Monte Carlo methods, becoming a key text in universities.
By 2020, Styles joined MIT as an adjunct professor, creating computational math courses. During the pandemic, he shared open-source Jupyter notebooks on GitHub, forked over 10,000 times and adopted by schools like Harvard. His work reflects 2025 trends in STEM education, emphasizing Python for AI and data fields.
Styles has consulted for Google and Amazon, developing tutorials for TensorFlow in mathematical modeling with an emphasis on ethics. He founded the "CodeMath Initiative" in 2019, a nonprofit offering free workshops to underrepresented youth in STEM, reaching over 5,000 participants through partnerships like Girls Who Code.
Styles' philosophy: "Math thrives when code brings it to life." His latest book features hands-on exercises, from arithmetic scripts to 3D visualizations and optimization, ideal for self-learners and classes. Reviewers hail it as transformative for math education, aligning with machine learning's math foundations.
Residing in Boston with his family, Styles enjoys hiking and astronomy, often using environmental data in examples. He mentors coders and speaks at PyCon and MathFest. Upcoming, he's authoring a sequel on AI-augmented math learning for 2027.
Born in Seattle in 1985 to a family of educators—his mother a math teacher and father a civil engineer—Styles developed an early fascination with numbers and computers. He excelled in high school math and coding competitions, leading to a dual degree in Mathematics and Computer Science from the University of Washington in 2007, where he graduated summa cum laude. His thesis on algorithmic optimization laid the groundwork for his career in applied mathematics.
Post-graduation, Styles worked at Microsoft on Azure's data analysis tools, sharpening his Python expertise. In 2010, he earned a Master's in Applied Mathematics from Stanford, researching numerical methods for differential equations while teaching programming to math students. These experiences fueled his passion for educational innovation.
In 2012, Styles started "MathCode Nexus," a blog with tutorials on Python for math, like fractal graphing with Matplotlib or probability simulations with SciPy, amassing a large following. This led to his 2015 book "Python for Math Enthusiasts" with O'Reilly, which sold over 50,000 copies and praised for simplifying NumPy for beginners. His 2018 follow-up, "Advanced Math Simulations in Python," covered Fourier transforms and Monte Carlo methods, becoming a key text in universities.
By 2020, Styles joined MIT as an adjunct professor, creating computational math courses. During the pandemic, he shared open-source Jupyter notebooks on GitHub, forked over 10,000 times and adopted by schools like Harvard. His work reflects 2025 trends in STEM education, emphasizing Python for AI and data fields.
Styles has consulted for Google and Amazon, developing tutorials for TensorFlow in mathematical modeling with an emphasis on ethics. He founded the "CodeMath Initiative" in 2019, a nonprofit offering free workshops to underrepresented youth in STEM, reaching over 5,000 participants through partnerships like Girls Who Code.
Styles' philosophy: "Math thrives when code brings it to life." His latest book features hands-on exercises, from arithmetic scripts to 3D visualizations and optimization, ideal for self-learners and classes. Reviewers hail it as transformative for math education, aligning with machine learning's math foundations.
Residing in Boston with his family, Styles enjoys hiking and astronomy, often using environmental data in examples. He mentors coders and speaks at PyCon and MathFest. Upcoming, he's authoring a sequel on AI-augmented math learning for 2027.
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MASTER MATH BY CODING IN PYTHON: Hands-On Projects to Build Your Math Skills from Beginner to Advanced Unlock Algebra, Calculus, Graphing, Trigonometry
MASTER MATH BY CODING IN PYTHON: Hands-On Projects to Build Your Math Skills from Beginner to Advanced Unlock Algebra, Calculus, Graphing, Trigonometry
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Product Details
| BN ID: | 2940184533711 |
|---|---|
| Publisher: | Barnes & Noble Press |
| Publication date: | 10/09/2025 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| File size: | 346 KB |
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