Python Basics Cheat Sheet, Cheat Sheet of Programming Languages

Download Python Basics Cheat Sheet and more Cheat Sheet Programming Languages in PDF only on Docsity! Selecting List Elements Import libraries >>> import numpy >>> import numpy as np Selective import >>> from math import pi >>> help(str) Python For Data Science Cheat Sheet Python Basics Learn More Python for Data Science Interactively at www.datacamp.com Variable Assignment Strings >>> x=5 >>> x 5 >>> x+2 Sum of two variables 7 >>> x-2 Subtraction of two variables 3 >>> x*2 Multiplication of two variables 10 >>> x**2 Exponentiation of a variable 25 >>> x%2 Remainder of a variable 1 >>> x/float(2) Division of a variable 2.5 Variables and Data Types str() '5', '3.45', 'True' int() 5, 3, 1 float() 5.0, 1.0 bool() True, True, True Variables to strings Variables to integers Variables to floats Variables to booleans Lists >>> a = 'is' >>> b = 'nice' >>> my_list = ['my', 'list', a, b] >>> my_list2 = [[4,5,6,7], [3,4,5,6]] Subset >>> my_list[1] >>> my_list[-3] Slice >>> my_list[1:3] >>> my_list[1:] >>> my_list[:3] >>> my_list[:] Subset Lists of Lists >>> my_list2[1][0] >>> my_list2[1][:2] Also see NumPy Arrays >>> my_list.index(a) >>> my_list.count(a) >>> my_list.append('!') >>> my_list.remove('!') >>> del(my_list[0:1]) >>> my_list.reverse() >>> my_list.extend('!') >>> my_list.pop(-1) >>> my_list.insert(0,'!') >>> my_list.sort() Get the index of an item Count an item Append an item at a time Remove an item Remove an item Reverse the list Append an item Remove an item Insert an item Sort the list Index starts at 0 Select item at index 1 Select 3rd last item Select items at index 1 and 2 Select items after index 0 Select items before index 3 Copy my_list my_list[list][itemOfList] Libraries >>> my_string.upper() >>> my_string.lower() >>> my_string.count('w') >>> my_string.replace('e', 'i') >>> my_string.strip() >>> my_string = 'thisStringIsAwesome' >>> my_string 'thisStringIsAwesome' Numpy Arrays >>> my_list = [1, 2, 3, 4] >>> my_array = np.array(my_list) >>> my_2darray = np.array([[1,2,3],[4,5,6]]) >>> my_array.shape >>> np.append(other_array) >>> np.insert(my_array, 1, 5) >>> np.delete(my_array,[1]) >>> np.mean(my_array) >>> np.median(my_array) >>> my_array.corrcoef() >>> np.std(my_array) Asking For Help >>> my_string[3] >>> my_string[4:9] Subset >>> my_array[1] 2 Slice >>> my_array[0:2] array([1, 2]) Subset 2D Numpy arrays >>> my_2darray[:,0] array([1, 4]) >>> my_list + my_list ['my', 'list', 'is', 'nice', 'my', 'list', 'is', 'nice'] >>> my_list * 2 ['my', 'list', 'is', 'nice', 'my', 'list', 'is', 'nice'] >>> my_list2 > 4 True >>> my_array > 3 array([False, False, False, True], dtype=bool) >>> my_array * 2 array([2, 4, 6, 8]) >>> my_array + np.array([5, 6, 7, 8]) array([6, 8, 10, 12]) >>> my_string * 2 'thisStringIsAwesomethisStringIsAwesome' >>> my_string + 'Innit' 'thisStringIsAwesomeInnit' >>> 'm' in my_string True DataCamp Learn Python for Data Science Interactively Scientific computing Data analysis 2D plotting Machine learning Also see Lists Get the dimensions of the array Append items to an array Insert items in an array Delete items in an array Mean of the array Median of the array Correlation coefficient Standard deviation String to uppercase String to lowercase Count String elements Replace String elements Strip whitespaces Select item at index 1 Select items at index 0 and 1 my_2darray[rows, columns] Install Python Calculations With Variables Leading open data science platform powered by Python Free IDE that is included with Anaconda Create and share documents with live code, visualizations, text, ... Types and Type Conversion String Operations List Operations List Methods Index starts at 0 String Methods String Operations Selecting Numpy Array Elements Index starts at 0 Numpy Array Operations Numpy Array Functions