Description
Treat yourself and your kids with this Python coding workbook. It contains algebraic hands-on exercises. It is a perfect book to augment your Intro To Coding, Intro to Python, or Python Intermediate Coding. Some Computer Science Teachers can also use this for their AP CSP classes.
The level is Algebra 1 so this book is mainly for Middle School, however in some schools this can also be used in High School.
Being cross curricular (coding and Algebra) the book is also an excellent prep for a Data Science course. Students interested in Data Science definitely have to have this as it paves their way to more complex concepts.
Here are the 10 Chapters:
Chapter 1. Mean, mode, median, standard deviation, min/max, palindromes, Fibonacci
Chapter 2. Probabilities, lists of numbers, sorting algorithms, specialized functions
Chapter 3. Probabilities and lists of numbers
Chapter 4. General algebraic exercises: logs, sqrt, GCD, modulo, lists, factorials, permutations, golden ratio
Chapter 5. Linear equations
Chapter 6. The quadratic equation
Chapter 7. Frequency tables and histograms
Chapter 8. Fractional and negative exponents
Chapter 9. Exponential functions and geometrical progressions
Chapter 10. Polynomials and operations with polynomials
Annex Python mathematical functions and libraries
The objective of these problems is to prepare the students for a Data Science course.
Each problem contains:
- the text of the problem
- the Python code of two solutions: the procedural solution and the object oriented solution
The file is in Word doc format which allows to copy & paste code to be tested directly on repl.it.
The license is one copy per teacher per class.
Follow our Store for great resources and early bird discounts.
Leave us a review for TpT credits!
You may also like the following resources:
1. Intro To Python Course
2. Upper Triangulation of a Matrix in Python
Workbook | 100 Math Python Exercises | Middle School | High School
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Description
Treat yourself and your kids with this Python coding workbook. It contains algebraic hands-on exercises. It is a perfect book to augment your Intro To Coding, Intro to Python, or Python Intermediate Coding. Some Computer Science Teachers can also use this for their AP CSP classes.
The level is Algebra 1 so this book is mainly for Middle School, however in some schools this can also be used in High School.
Being cross curricular (coding and Algebra) the book is also an excellent prep for a Data Science course. Students interested in Data Science definitely have to have this as it paves their way to more complex concepts.
Here are the 10 Chapters:
Chapter 1. Mean, mode, median, standard deviation, min/max, palindromes, Fibonacci
Chapter 2. Probabilities, lists of numbers, sorting algorithms, specialized functions
Chapter 3. Probabilities and lists of numbers
Chapter 4. General algebraic exercises: logs, sqrt, GCD, modulo, lists, factorials, permutations, golden ratio
Chapter 5. Linear equations
Chapter 6. The quadratic equation
Chapter 7. Frequency tables and histograms
Chapter 8. Fractional and negative exponents
Chapter 9. Exponential functions and geometrical progressions
Chapter 10. Polynomials and operations with polynomials
Annex Python mathematical functions and libraries
The objective of these problems is to prepare the students for a Data Science course.
Each problem contains:
- the text of the problem
- the Python code of two solutions: the procedural solution and the object oriented solution
The file is in Word doc format which allows to copy & paste code to be tested directly on repl.it.
The license is one copy per teacher per class.
Follow our Store for great resources and early bird discounts.
Leave us a review for TpT credits!
You may also like the following resources:
1. Intro To Python Course
2. Upper Triangulation of a Matrix in Python
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