[Early Release]Foundations for Analytics with Python

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Foundations for Analytics with Python: From non-programmer to hacker

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2016-5-11 05:58:06 上传

Foundations for Analytics with Python: From non-programmer to hacker
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Book Description
Many of Excel's 750 million users would like to do more with their data, such as repeating similar analyses over hundreds of files or combining the data in many files for analysis at one time. This practical guide shows ambitious non-programmers how to automate and scale data processing and analysis of different data formats with Python, using business-relevant examples with complete, easy-to-read code.

Beginning with the basics of Python, author Clinton Brownley shows you how to deal with Excel, CSV, and text files in Python, leading up to scheduling scripts to automatically gather and process information without human intervention. More practical than many other introductions to Python, this book gives you skills you can immediately apply in your job.
Book Details
Publisher:        O'Reilly Media
By:        Clinton W. Brownley
ISBN:        978-1-49192-253-8
Year:        2016
Pages:        300
Language:        English
File size:        1.6 MB
File format:        PDF

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关键词：Foundations foundation Analytics Analytic Release hacker different practical examples hundreds

1. >Unpack tuples
   
2. # Unpack tuples with the left-hand side of an assignment operator
   
3. one, two, three = my_tuple
   
4. print("Output #97: {0} {1} {2}".format(one, two, three))
   
5. var1 = 'red'
   
6. var2 = 'robin'
   
7. print("Output #98: {} {}".format(var1, var2))
   
8. # Swap values between variables
   
9. var1, var2 = var2, var1
   
10. print("Output #99: {} {}".format(var1, var2))

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1. Convert tuple to list, list to tuple
   
2. # Convert tuples to lists and lists to tuples
   
3. my_list = [1, 2, 3]
   
4. my_tuple = ('x', 'y', 'z')
   
5. print("Output #100: {}".format(tuple(my_list)))
   
6. print("Output #101: {}".format(list(my_tuple)))

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1. Create a dictionary
   
2. # Use curly braces to create a dictionary
   
3. # Use a colon between keys and values in each pair
   
4. # len() counts the number of key-value pairs in a dictionary
   
5. empty_dict = { }
   
6. a_dict = {'one':1, 'two':2, 'three':3}
   
7. print("Output #102: {}".format(a_dict))
   
8. print("Output #103: a_dict has {!s} elements".format(len(a_dict)))
   
9. another_dict = {'x':'printer', 'y':5, 'z':['star', 'circle', 9]}
   
10. print("Output #104: {}".format(another_dict))
    
11. print("Output #105: another_dict also has {!s} elements".format(len(another_dict)))

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1. Keys, Values, and Items
   
2. # Use keys(), values(), and items() to access
   
3. # a dictionary's keys, values, and key-value pairs, respectively
   
4. print("Output #109: {}".format(a_dict.keys()))
   
5. a_dict_keys = a_dict.keys()
   
6. print("Output #110: {}".format(a_dict_keys))
   
7. print("Output #111: {}".format(a_dict.values()))
   
8. print("Output #112: {}".format(a_dict.items()))

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