Master Math by Coding in Python

Focused View

Rob Percival

37:04:04

362 View

01.01-how to get the most out of this course.mp4

05:58

01.02-using python through jupyter (installing anaconda).mp4

08:04

01.03-using python online (no installation).mp4

08:41

01.04-create a beautiful harmonograph.mp4

07:02

01.05-getting help in python.mp4

09:02

02.01-addition subtraction multiplication and division.mp4

08:56

02.02-using variables in place of numbers.mp4

11:38

02.03-printing out equations in jupyter notebook.mp4

23:21

02.04-writing comments in python.mp4

04:44

02.05-exponents (powers).mp4

17:09

02.06-using for-loops to compute powers.mp4

15:47

02.07-order of operations.mp4

12:44

02.08-testing inequalities and boolean data type.mp4

13:55

02.09-using if-statements and logical operators.mp4

17:27

02.10-absolute value.mp4

13:38

02.11-remainder after division (modulus).mp4

15:25

02.12-create interactive math functions part 1.mp4

13:01

02.13-create interactive math functions part 2.mp4

17:26

02.14-create interactive math functions part 3.mp4

14:05

02.15-arithmetic bug hunt.mp4

16:36

03.01-introduction to sympy part 1.mp4

13:12

03.02-introduction to latex.mp4

20:23

03.03-introduction to sympy part 2.mp4

19:51

03.04-printing with f-strings.mp4

08:23

03.05-example use sympy to understand the law of exponents.mp4

14:59

03.06-sympylatex bug hunt.mp4

13:49

04.01-numbers and strings.mp4

16:42

04.02-lists and numpy arrays.mp4

22:35

05.01-solving for x.mp4

15:39

05.02-solving for x exercises.mp4

17:23

05.03-expanding terms.mp4

16:22

05.04-creating and accessing matrices with numpy.mp4

15:48

05.05-exercise create a multiplication table.mp4

11:14

05.06-associative commutative and distributive properties.mp4

15:18

05.07-creating and working with python lists.mp4

17:28

05.08-more on slicing in python.mp4

09:33

05.09-greatest common denominator.mp4

10:19

05.10-greatest common denominator exercises.mp4

09:56

05.11-introduction to python dictionaries.mp4

13:07

05.12-prime factorization.mp4

12:15

05.13-solving inequalities.mp4

13:47

05.14-adding polynomials.mp4

17:56

05.15-multiplying polynomials.mp4

13:08

05.16-dividing by polynomials.mp4

16:03

05.17-factoring polynomials.mp4

12:57

05.18-algebra 1 bug hunt.mp4

13:02

06.01-plotting coordinates on a plane.mp4

13:12

06.02-plotting coordinates on a plane exercise.mp4

04:27

06.03-graphing lines-part 1 startend notation.mp4

16:18

06.04-graphing lines-part 2 slope-intercept form.mp4

16:26

06.05-graphing rational functions.mp4

15:16

06.06-plotting with sympy.mp4

18:03

06.07-plotting with sympy exercises.mp4

11:58

06.08-course tangent self-accountability in online learning.mp4

03:03

06.09-making images from matrices.mp4

16:30

06.10-images from matrices exercise.mp4

07:06

06.11-drawing patches with polygons.mp4

18:43

06.12-exporting graphics as pictures.mp4

03:45

06.13-graphing bug hunt.mp4

18:44

07.01-summation and products.mp4

17:12

07.02-differences (discrete derivative).mp4

17:27

07.03-roots of polynomials.mp4

11:26

07.04-roots of polynomials exercise.mp4

07:25

07.05-the quadratic equation.mp4

21:01

07.06-complex numbers addition and subtraction.mp4

15:33

07.07-complex numbers conjugate and multiplication.mp4

13:30

07.08-complex numbers division.mp4

16:14

07.09-graphing complex numbers.mp4

10:58

07.10-revisiting the quadratic equation with complex numbers.mp4

08:51

07.11-the unit circle.mp4

13:48

07.12-natural exponent and logarithm.mp4

11:27

07.13-find a specific point on a gaussian.mp4

16:17

07.14-exercise a family of gaussians.mp4

07:47

07.15-graphing the complex roots of unity.mp4

18:27

07.16-log-spaced and linearly spaced numbers.mp4

09:25

07.17-logarithm properties multiplication and division.mp4

16:11

07.18-arithmetic and geometric sequences.mp4

15:57

07.19-orders of magnitude and scientific notation.mp4

20:09

07.20-maxima and minima of functions.mp4

16:43

07.21-even and odd functions.mp4

11:56

07.22-algebra 2 bug hunt.mp4

20:22

08.01-graphing parabolas.mp4

14:36

08.02-creating contours from meshes in python.mp4

14:53

08.03-graphing circles.mp4

17:41

08.04-graphing ellipses.mp4

15:28

08.05-graphing hyperbolas.mp4

15:32

08.06-conic bug hunt.mp4

05:49

09.01-introduction to random numbers.mp4

12:31

09.02-introduction to random numbers exercise.mp4

10:37

09.03-exercise plotting random phase angles.mp4

06:32

09.04-converting between radians and degrees.mp4

09:04

09.05-converting angles exercise.mp4

16:45

09.06-the pythagorean theorem.mp4

17:52

09.07-graphing resolution for sine cosine and tangent.mp4

13:11

09.08-graphing and resolution exercise.mp4

16:30

09.09-euleraeurs formula.mp4

12:48

09.10-eulers formula exercise.mp4

11:50

09.11-exercise random exploding euler.mp4

08:06

09.12-exercise random snakes with cosine and sine.mp4

11:09

09.13-trigonometry bug hunt.mp4

12:23

10.01-astroid radial curve.mp4

16:30

10.02-rose curves.mp4

12:24

10.03-squircle.mp4

09:19

10.04-logarithmic spiral.mp4

11:15

10.05-logistic map.mp4

21:41

11.01-mathematical proofs versus intuition with examples.mp4

03:44

11.02-computing limits of a function.mp4

15:02

11.03-computing limits exercise.mp4

13:18

11.04-piecewise functions.mp4

16:29

11.05-derivatives of polynomials.mp4

14:31

11.06-derivatives of polynomials exercise.mp4

09:49

11.07-derivatives of trig functions.mp4

12:15

11.08-derivatives of trig functions exercise.mp4

08:28

11.09-graphing a function tangent line.mp4

14:12

11.10-graphing tangent lines exercise.mp4

12:54

11.11-finding critical points.mp4

17:03

11.12-finding critical points exercise.mp4

15:09

11.13-partial derivatives.mp4

11:13

11.14-indefinite and definite integrals.mp4

15:52

11.15-exercise the fundamental theorem of calculus.mp4

04:46

11.16-area between two curves.mp4

12:41

11.17-area between two curves exercise.mp4

14:40

11.18-calculus bug hunt.mp4

15:29

12.01-row and column vectors.mp4

17:17

12.02-adding and scalar-multiplying vectors.mp4

17:16

12.03-the dot product.mp4

16:01

12.04-dot product application correlation coefficient.mp4

12:26

12.05-the outer product.mp4

10:31

12.06-matrix multiplication.mp4

17:07

12.07-transposing vectors and matrices.mp4

14:26

12.08-various special matrices.mp4

18:25

12.09-matrix inverse.mp4

11:16

12.10-matrix pseudoinverse exercise.mp4

10:09

12.11-solving a system of equations.mp4

19:36

12.12-visualizing matrix-vector multiplication.mp4

14:14

12.13-eigenvalues and eigenvectors.mp4

14:55

12.14-eigendecomposition exercise.mp4

12:44

12.15-singular value decomposition.mp4

12:57

12.16-svd of einstein exercise.mp4

12:57

12.17-linear algebra bug hunt.mp4

20:13

13.01-histograms and probability densities.mp4

13:46

13.02-probability exercise math functions.mp4

11:49

13.03-virtual coin tosses.mp4

13:28

13.04-exercise virtual weighted dice.mp4

15:26

13.05-building distributions from random numbers.mp4

18:21

13.06-exercise normalize any distribution to gaussian.mp4

12:31

13.07-the central limit theorem.mp4

14:54

13.08-exercise the central limit theorem.mp4

11:49

13.09-joint probability distributions.mp4

15:31

13.10-probability bug hunt.mp4

10:11

14.01-counting perfect numbers.mp4

24:19

14.02-euclids pythagorean triplets.mp4

18:47

14.03-fermats theorem.mp4

17:34

14.04-plotting number sequences.mp4

15:36

14.05-exercise condivergent sequences.mp4

13:07

14.06-herons method of square roots.mp4

23:47

14.07-exercise herons mosquito spaceship 13.mp4

15:26

14.08-smooth numbers.mp4

22:19

14.09-exercise smooth numbers.mp4

08:56

14.10-number theory bug hunt.mp4

14:31

9781801074537 Code.zip

Description

Many people don’t know that Python is a really powerful tool for learning math. Sure, you can use Python as a simple calculator, but did you know that Python can help you learn more advanced topics in algebra, calculus, and matrix analysis? That’s exactly what you’ll learn in this course.

The glaring question would be: if you don’t know anything about Python, then how will you code?

Don’t worry, this course is aimed at complete beginners; the instructor will take you through every step of the code. You don’t need to know anything about Python, although it’s useful if you already have some programming experience.

Even if you are not at all good at math, you will be amazed at how much better you can learn math using Python as a tool to help with your courses or your independent study. And that’s exactly the point of this course: Python programming as a tool to learn mathematics. This course is designed to be the perfect addition to any other math course or textbook that you are going through.

A lot of hands-on practical exercises come with this course, each video has at least one hands-on coding/math exercise and each section ends with “bug hunts“ where you get to find and fix math-coding errors.

By the end of the course, you will be able to understand very complex mathematical concepts with a bit of coding in Python.

The resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Master-Math-by-Coding-in-Python

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Python

Math

Rob Percival

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Rob Percival is a highly regarded web developer and Udemy instructor with over 1.7 million students. Over 500,000 of them have taken Rob’s Complete Web Developer Course 2.0, as well as his Android Developer and iOS Developer courses.

PacktPub

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Packt is a publishing company founded in 2003 headquartered in Birmingham, UK, with offices in Mumbai, India. Packt primarily publishes print and electronic books and videos relating to information technology, including programming, web design, data analysis and hardware.