From 3ad59beb107c01e7d8f5f3fa3aa1c5cee6b4912d Mon Sep 17 00:00:00 2001 From: Richard Evans Date: Fri, 27 Oct 2023 00:28:04 -0600 Subject: [PATCH 1/4] Updated citations on main page index.md --- docs/book/index.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/docs/book/index.md b/docs/book/index.md index ec02d09..b34dbcd 100644 --- a/docs/book/index.md +++ b/docs/book/index.md @@ -38,5 +38,8 @@ Please use the following citation form for this book. General citation to the book: * Evans, Richard W., *Computational Methods for Economists using Python*, Open access Jupyter Book, v#.#.#, 2023, https://opensourceecon.github.io/CompMethods. -Citation to a chapter in the book: +Citation to a chapter in the book only authored by Evans: * Evans, Richard W., "[insert chapter name]", in *Computational Methods for Economists using Python*, Open access Jupyter Book, v#.#.#, 2023, https://opensourceecon.github.io/CompMethods + [chapter path]. + +Citation to a chapter in the book only authored by multiple authors: +* DeBacker, Jason and Richard W. Evans, "[insert chapter name]", in *Computational Methods for Economists using Python*, Open access Jupyter Book, v#.#.#, 2023, https://opensourceecon.github.io/CompMethods + [chapter path]. From 6bb267e866dfbd472c22e6ce2f54a32f677cc537 Mon Sep 17 00:00:00 2001 From: Richard Evans Date: Fri, 27 Oct 2023 00:29:23 -0600 Subject: [PATCH 2/4] Updated suggested citation in README.md --- README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 3475c00..074a78d 100644 --- a/README.md +++ b/README.md @@ -20,5 +20,8 @@ Please use the following citation form for this book. General citation to the book: * Evans, Richard W., *Computational Methods for Economists using Python*, Open access Jupyter Book, v#.#.#, 2023, https://opensourceecon.github.io/CompMethods/. -Citation to a chapter in the book: -* Evans, Richard W., "[insert chapter name]", in *Computational Methods for Economists using Python*, Open access Jupyter Book, v#.#.#, 2023, https://opensourceecon.github.io/CompMethods/ + [chapter path]. +Citation to a chapter in the book only authored by Evans: +* Evans, Richard W., "[insert chapter name]", in *Computational Methods for Economists using Python*, Open access Jupyter Book, v#.#.#, 2023, https://opensourceecon.github.io/CompMethods + [chapter path]. + +Citation to a chapter in the book only authored by multiple authors: +* DeBacker, Jason and Richard W. Evans, "[insert chapter name]", in *Computational Methods for Economists using Python*, Open access Jupyter Book, v#.#.#, 2023, https://opensourceecon.github.io/CompMethods + [chapter path]. From fadc1975594cda8b29bfec4abe829f0b6dec7e7b Mon Sep 17 00:00:00 2001 From: Richard Evans Date: Fri, 27 Oct 2023 01:38:53 -0600 Subject: [PATCH 3/4] Updated Python chapters --- code/AdvancedNumPy/advanced_numpy.py | 143 + code/Exceptions_FileIO/cf_example1.txt | 2 + code/Exceptions_FileIO/cf_example2.txt | 3 + code/Exceptions_FileIO/exceptions_fileIO.py | 108 + code/Exceptions_FileIO/hello_world.txt | 2 + code/Matplotlib1/FARS.npy | Bin 0 -> 3557024 bytes code/Matplotlib1/matplotlib_intro.py | 92 + code/Matplotlib2/matplotlib2.ipynb | 220 ++ code/Matplotlib3/animation.ipynb | 156 ++ code/NumPyIntro/grid.npy | Bin 0 -> 3280 bytes code/NumPyIntro/numpy_intro.py | 70 + code/ObjectOriented/object_oriented.py | 98 + code/Pandas1/pandas1.ipynb | 292 +++ code/Pandas3/pandas3.ipynb | 251 ++ code/PythonIntro/python_intro.py | 99 + code/StandardLibrary/box.py | 52 + code/StandardLibrary/standard_library.py | 56 + code/UnitTest/specs.py | 159 ++ code/UnitTest/test_specs.py | 75 + code/UnixShell1/Shell1.zip | Bin 0 -> 913557 bytes code/UnixShell1/unixshell1.sh | 65 + code/junk_funcs.py | 15 + code/placeholder.txt | 1 - data/Matplotlib3/orbits.npz | Bin 0 -> 135120 bytes data/Pandas1/DJIA.csv | 2610 +++++++++++++++++++ data/Pandas1/budget.csv | 49 + data/Pandas1/crime_data.csv | 58 + data/Pandas1/paychecks.csv | 93 + data/Pandas3/Ohio_1999.csv | 1586 +++++++++++ data/Pandas3/college.csv | 778 ++++++ data/Pandas3/mammal_sleep.csv | 84 + data/Pandas3/titanic.csv | 1311 ++++++++++ docs/book/CompMethods_references.bib | 269 +- docs/book/_toc.yml | 1 + docs/book/git/intro.md | 128 +- docs/book/images/Git/GitFlowDiag.png | Bin 0 -> 42275 bytes docs/book/images/SciPy/root_examp1.png | Bin 0 -> 156361 bytes docs/book/python/DocStrings.md | 129 +- docs/book/python/ExceptionsIO.md | 31 + docs/book/python/Matplotlib.md | 98 +- docs/book/python/NumPy.md | 148 +- docs/book/python/OOP.md | 74 +- docs/book/python/Pandas.md | 175 +- docs/book/python/SciPy.md | 462 +++- docs/book/python/StandardLibrary.md | 62 +- docs/book/python/UnitTesting.md | 86 +- docs/book/python/intro.md | 81 +- 47 files changed, 10160 insertions(+), 112 deletions(-) create mode 100644 code/AdvancedNumPy/advanced_numpy.py create mode 100644 code/Exceptions_FileIO/cf_example1.txt create mode 100644 code/Exceptions_FileIO/cf_example2.txt create mode 100644 code/Exceptions_FileIO/exceptions_fileIO.py create mode 100644 code/Exceptions_FileIO/hello_world.txt create mode 100644 code/Matplotlib1/FARS.npy create mode 100644 code/Matplotlib1/matplotlib_intro.py create mode 100644 code/Matplotlib2/matplotlib2.ipynb create mode 100644 code/Matplotlib3/animation.ipynb create mode 100644 code/NumPyIntro/grid.npy create mode 100644 code/NumPyIntro/numpy_intro.py create mode 100644 code/ObjectOriented/object_oriented.py create mode 100644 code/Pandas1/pandas1.ipynb create mode 100644 code/Pandas3/pandas3.ipynb create mode 100644 code/PythonIntro/python_intro.py create mode 100644 code/StandardLibrary/box.py create mode 100644 code/StandardLibrary/standard_library.py create mode 100644 code/UnitTest/specs.py create mode 100644 code/UnitTest/test_specs.py create mode 100644 code/UnixShell1/Shell1.zip create mode 100644 code/UnixShell1/unixshell1.sh create mode 100644 code/junk_funcs.py delete mode 100644 code/placeholder.txt create mode 100644 data/Matplotlib3/orbits.npz create mode 100644 data/Pandas1/DJIA.csv create mode 100644 data/Pandas1/budget.csv create mode 100644 data/Pandas1/crime_data.csv create mode 100644 data/Pandas1/paychecks.csv create mode 100644 data/Pandas3/Ohio_1999.csv create mode 100644 data/Pandas3/college.csv create mode 100644 data/Pandas3/mammal_sleep.csv create mode 100644 data/Pandas3/titanic.csv create mode 100644 docs/book/images/Git/GitFlowDiag.png create mode 100644 docs/book/images/SciPy/root_examp1.png create mode 100644 docs/book/python/ExceptionsIO.md diff --git a/code/AdvancedNumPy/advanced_numpy.py b/code/AdvancedNumPy/advanced_numpy.py new file mode 100644 index 0000000..0641aac --- /dev/null +++ b/code/AdvancedNumPy/advanced_numpy.py @@ -0,0 +1,143 @@ +# advanced_numpy.py +"""Python Essentials: Advanced NumPy. + + + +""" +import numpy as np +from sympy import isprime +from matplotlib import pyplot as plt + + +def prob1(A): + """Make a copy of 'A' and set all negative entries of the copy to 0. + Return the copy. + + Example: + >>> A = np.array([-3,-1,3]) + >>> prob4(A) + array([0, 0, 3]) + """ + raise NotImplementedError("Problem 1 Incomplete") + + +def prob2(arr_list): + """return all arrays in arr_list as one 3-dimensional array + where the arrays are padded with zeros appropriately.""" + raise NotImplementedError("Problem 2 Incomplete") + + +def prob3(func, A): + """Time how long it takes to run func on the array A in two different ways, + where func is a universal function. + First, use array broadcasting to operate on the entire array element-wise. + Second, use a nested for loop, operating on each element individually. + Return the ratio showing how many times faster array broadcasting is than + using a nested for loop, averaged over 10 trials. + + Parameters: + func -- array broadcast-able numpy function + A -- nxn array to operate on + Returns: + num_times_faster -- float + """ + raise NotImplementedError("Problem 3 Incomplete") + + +def prob4(A): + """Divide each row of 'A' by the row sum and return the resulting array. + + Example: + >>> A = np.array([[1,1,0],[0,1,0],[1,1,1]]) + >>> prob6(A) + array([[ 0.5 , 0.5 , 0. ], + [ 0. , 1. , 0. ], + [ 0.33333333, 0.33333333, 0.33333333]]) + """ + raise NotImplementedError("Problem 4 Incomplete") + + +# this is provided for problem 5 +def LargestPrime(x, show_factorization=False): + # account for edge cases. + if x == 0 or x == 1: + return np.nan + + # create needed variables + forced_break = False + prime_factors = [] # place to store factors of number + factor_test_arr = np.arange(1, 11) + + while True: + # a factor is never more than half the number + if np.min(factor_test_arr) > (x // 2) + 1: + forced_break = True + break + if isprime(x): # if the checked number is prime itself, stop + prime_factors.append(x) + break + + # check if anythin gin the factor_test_arr are factors + div_arr = x / factor_test_arr + factor_mask = div_arr - div_arr.astype(int) == 0 + divisors = factor_test_arr[factor_mask] + if divisors.size > 0: # if divisors exist... + if ( + divisors[0] == 1 and divisors.size > 1 + ): # make sure not to select 1 + i = 1 + elif ( + divisors[0] == 1 and divisors.size == 1 + ): # if one is the only one don't pick it + factor_test_arr = factor_test_arr + 10 + continue + else: # othewise take the smallest divisor + i = 0 + + # if divisor was found divide number by it and + # repeat the process + x = int(x / divisors[i]) + prime_factors.append(divisors[i]) + factor_test_arr = np.arange(1, 11) + else: # if no number was found increase the test_arr + # and keep looking for factors + factor_test_arr = factor_test_arr + 10 + continue + + if show_factorization: # show entire factorization if desired + print(prime_factors) + if forced_break: # if too many iterations break + print(f"Something wrong, exceeded iteration threshold for value: {x}") + return 0 + return max(prime_factors) + + +def prob5(arr, naive=False): + """Return an array where every number is replaced be the largest prime + in its factorization. Implement two methods. Switching between the two + is determined by a bool. + + Example: + >>> A = np.array([15, 41, 49, 1077]) + >>> prob4(A) + array([5,41,7,359]) + """ + raise NotImplementedError("Problem 5 Incomplete") + + +def prob6(x, y, z, A, optimize=False, split=True): + """takes three vectors and a matrix and performs + (np.outer(x,y)*z.reshape(-1,1))@A on them using einsum.""" + raise NotImplementedError("Problem 6 part 1 Incomplete") + + +def naive6(x, y, z, A): + """uses normal numpy functions to do what prob5 does""" + raise NotImplementedError("Problem 6 part 2 Incomplete") + + +def prob7(): + """Times and creates plots that generate the difference in + speeds between einsum and normal numpy functions + """ + raise NotImplementedError("Problem 7 Incomplete") diff --git a/code/Exceptions_FileIO/cf_example1.txt b/code/Exceptions_FileIO/cf_example1.txt new file mode 100644 index 0000000..8129203 --- /dev/null +++ b/code/Exceptions_FileIO/cf_example1.txt @@ -0,0 +1,2 @@ +A b C +d E f diff --git a/code/Exceptions_FileIO/cf_example2.txt b/code/Exceptions_FileIO/cf_example2.txt new file mode 100644 index 0000000..d203a8b --- /dev/null +++ b/code/Exceptions_FileIO/cf_example2.txt @@ -0,0 +1,3 @@ +Ab Cd +Ef Gh +Ij Kl diff --git a/code/Exceptions_FileIO/exceptions_fileIO.py b/code/Exceptions_FileIO/exceptions_fileIO.py new file mode 100644 index 0000000..ea24e7b --- /dev/null +++ b/code/Exceptions_FileIO/exceptions_fileIO.py @@ -0,0 +1,108 @@ +# exceptions_fileIO.py +"""Python Essentials: Exceptions and File Input/Output. + + + +""" + +from random import choice + + +# Problem 1 +def arithmagic(): + """ + Takes in user input to perform a magic trick and prints the result. + Verifies the user's input at each step and raises a + ValueError with an informative error message if any of the following occur: + + The first number step_1 is not a 3-digit number. + The first number's first and last digits differ by less than $2$. + The second number step_2 is not the reverse of the first number. + The third number step_3 is not the positive difference of the first two numbers. + The fourth number step_4 is not the reverse of the third number. + """ + + step_1 = input( + "Enter a 3-digit number where the first and last " + "digits differ by 2 or more: " + ) + step_2 = input( + "Enter the reverse of the first number, obtained " + "by reading it backwards: " + ) + step_3 = input("Enter the positive difference of these numbers: ") + step_4 = input("Enter the reverse of the previous result: ") + print(str(step_3), "+", str(step_4), "= 1089 (ta-da!)") + + +# Problem 2 +def random_walk(max_iters=1e12): + """ + If the user raises a KeyboardInterrupt by pressing ctrl+c while the + program is running, the function should catch the exception and + print "Process interrupted at iteration $i$". + If no KeyboardInterrupt is raised, print "Process completed". + + Return walk. + """ + + walk = 0 + directions = [1, -1] + for i in range(int(max_iters)): + walk += choice(directions) + return walk + + +# Problems 3 and 4: Write a 'ContentFilter' class. +class ContentFilter(object): + """Class for reading in file + + Attributes: + filename (str): The name of the file + contents (str): the contents of the file + + """ + + # Problem 3 + def __init__(self, filename): + """Read from the specified file. If the filename is invalid, prompt + the user until a valid filename is given. + """ + + # Problem 4 --------------------------------------------------------------- + def check_mode(self, mode): + """Raise a ValueError if the mode is invalid.""" + + def uniform(self, outfile, mode="w", case="upper"): + """Write the data to the outfile with uniform case. Include an additional + keyword argument case that defaults to "upper". If case="upper", write + the data in upper case. If case="lower", write the data in lower case. + If case is not one of these two values, raise a ValueError.""" + + def reverse(self, outfile, mode="w", unit="word"): + """Write the data to the outfile in reverse order. Include an additional + keyword argument unit that defaults to "line". If unit="word", reverse + the ordering of the words in each line, but write the lines in the same + order as the original file. If units="line", reverse the ordering of the + lines, but do not change the ordering of the words on each individual + line. If unit is not one of these two values, raise a ValueError.""" + + def transpose(self, outfile, mode="w"): + """Write a transposed version of the data to the outfile. That is, write + the first word of each line of the data to the first line of the new file, + the second word of each line of the data to the second line of the new + file, and so on. Viewed as a matrix of words, the rows of the input file + then become the columns of the output file, and viceversa. You may assume + that there are an equal number of words on each line of the input file. + """ + + def __str__(self): + """Printing a ContentFilter object yields the following output: + + Source file: + Total characters: + Alphabetic characters: + Numerical characters: + Whitespace characters: + Number of lines: + """ diff --git a/code/Exceptions_FileIO/hello_world.txt b/code/Exceptions_FileIO/hello_world.txt new file mode 100644 index 0000000..7d60d01 --- /dev/null +++ b/code/Exceptions_FileIO/hello_world.txt @@ -0,0 +1,2 @@ +Hello, +World! diff --git a/code/Matplotlib1/FARS.npy b/code/Matplotlib1/FARS.npy new file mode 100644 index 0000000000000000000000000000000000000000..98d19aa7f105217630588ff0bcde19e240da87d3 GIT binary patch literal 3557024 zcmZ_Xy^d|mRXy+`+ag-Q3J3_6N{F*TSEy|_#zII`L4oZ+t*+I%Rm0+>#u(N-}Arw`tLt}JO1rI|MFjd{I-4mvef#+j*U$dw zhwDGDkKgZ(kKeKO`g>XbBT~|y}Fq`dC~2j4s)X$AACC1%fr2Xy5yjbuUGu;^;zWtA1^=n?Df&r{JsZseC0=< 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