New Perspectives on HTML5, CSS3, and JavaScript
6th Edition
ISBN: 9781305503922
Author: Patrick M. Carey
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Question
thumb_up100%
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by stepSolved in 3 steps with 3 images
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- from typing import List, Tuple, Dict from poetry_constants import (POEM_LINE, POEM, PHONEMES, PRONUNCIATION_DICT, POETRY_FORM_DESCRIPTION) # ===================== Provided Helper Functions ===================== def transform_string(s: str) -> str: """Return a new string based on s in which all letters have been converted to uppercase and punctuation characters have been stripped from both ends. Inner punctuation is left untouched. >>> transform_string('Birthday!!!') 'BIRTHDAY' >>> transform_string('"Quoted?"') 'QUOTED' >>> transform_string('To be? Or not to be?') 'TO BE? OR NOT TO BE' """ punctuation = """!"'`@$%^&_-+={}|\\/,;:.-?)([]<>*#\n\t\r""" result = s.upper().strip(punctuation) return result def is_vowel_phoneme(phoneme: str) -> bool: """Return True if and only if phoneme is a vowel phoneme. That is, whether phoneme ends in a 0, 1, or 2. Precondition:…arrow_forwardPYTHON import pandas as pdfrom datetime import dateimport sys from sklearn.preprocessing import OrdinalEncoder def series_report( series, is_ordinal=False, is_continuous=False, is_categorical=False): print(f"{series.name}: {series.dtype}") ###### Your code here ###### # Check command line argumentsif len(sys.argv) < 2: print(f"Usage: python3 {sys.argv[0]} <input_file>") exit(1) # Read in the datadf = pd.read_csv( sys.argv[1], index_col="employee_id") # Convert strings to dates for dob and deathdf['dob'] = df['dob'].apply(lambda x: date.fromisoformat(x))df['death'] = df['death'].apply(lambda x: date.fromisoformat(x)) # Show the shape of the dataframe(row_count, col_count) = df.shapeprint(f"*** Basics ***")print(f"Rows: {row_count:,}")print(f"Columns: {col_count}") # Do a report for each columnprint(f"\n*** Columns ***")series_report(df.index, is_ordinal=True)series_report(df["gender"], is_categorical=True)series_report(df["height"], is_ordinal=True,…arrow_forwardPython and post output screenshot aswell please use np/pd/pyplot/lists/dictarrow_forward
- in python pleasearrow_forwardWhen working with enumeration types, such as the arithmetic operators and the stream operators, is it possible to rapidly access operators that are often used, such as the arithmetic operators and the stream operators? Is it conceivable, for instance, to overload these operators in order to arrive at a result that is satisfactory? What are the arguments for and against doing so?arrow_forwardI'm struggling to create 5 histograms for a set of data in Python. Conceptually the code should produce a histogram which gets smoother and closer to a normal curve as the number of values increases in the array. Mine are all plotting on the same graph however and are separated at weird values and I don't know why. They're not curve like at all. For reference, my 5 arrays of values are generated randomly from a normal distribution with a mean of 12, standard deviation of 1, and contain 5, 50, 500, 5000, and 5000000 values respectively.arrow_forward
- Use Python Code Your task is : Use pandas to read the csv table . Example : df = pd.read_csv('Covid19Recovered.csv') . Then use the dataframe to make a visualization of the number of recovered patients using matplotlib, seaborn , etc . Just ignore lat and long. Covid-19 Recovered table (csv): Province/State Country/Region Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020…arrow_forwardlikes(John, C++). likes(Bob, C#). likes(John, Java) likes(Bob, Lisp). likes(Julia, Python).likes(Bob, Python). Trace this code and show all details in order to find out the value of X in the following query: likes(Bob, X), likes(Julia, X).arrow_forwardFind on the internet (or use a camera to take) three different types of images: an indoor scene, outdoor scenery, and a close-up scene of a single object. Write python code to implement an adaptive thresholding scheme to segment the images as best as you can and write a brief summary.arrow_forward
- Question in image. Please solve by explaining. Question 2.1 writing a Python Fibonacci function should be implement using recursion method.arrow_forwardSimple Dictionaries: Pirate-Talk Translator We’ll use a Python dictionary as an actual dictionary. As we discussed in our lecture this week, a dictionary is really good for 1-1 mapping of concepts-to-values, so that's what we'll do here. We’re starting off with all the English words and Pirate words in two separate lists where the positions of the lists correspond. It is associated lists like this work but when a mapping solution is required, dictionaries are often a more natural implementation. (a) Your first job is to redesign the approach and turn these two lists into one dictionary. The words, both English and Pirate language, are distinct, so either one can be the key. Here are the original lists (feel free to add your own words; we got them by googling “Pirate Talk”) ENGLISH = ['hello', 'friend', 'hey', 'awful', 'wow','reward', 'song', 'money', 'board', 'cocktail', 'bathroom', 'friends', 'cheat', 'flag','boy', 'girl', 'my', 'take', 'sink', 'telescope',…arrow_forwardWhat is difference between fixed-sized arrays, expandable arrays, and the pros and cons of using arrays to implement them.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- New Perspectives on HTML5, CSS3, and JavaScriptComputer ScienceISBN:9781305503922Author:Patrick M. CareyPublisher:Cengage Learning
New Perspectives on HTML5, CSS3, and JavaScript
Computer Science
ISBN:9781305503922
Author:Patrick M. Carey
Publisher:Cengage Learning