Python strftime format codes

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      initial date 2e19-1e-25 120101.227848 future date after 2yrs: 2e21-1e-24 120101.227848 future date after 2days: 2Ø19-1ø-27 # Timedelta function demonstration

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    • Python strftime () function - w3resource

      Following is the syntax of strftime() function. format is string that describes the specified format to strftime() function for creating date and time string from datetime.datetime object. strftime() function returns formatted datetime as string based on the given format. Format Codes

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      Python 3 i About the Tutorial Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language.

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      2016-05-03 · Python Cheat Sheet just the basics Created By: arianne Colton and Sean Chen • Data structures Note : • 'start' index is included, but 'stop' index is NOT. • start/stop can be omitted in which they default to the start/end. § Application of 'step' : Take every other element list1[::2] Reverse a string str1[::-1] DICT (HASH MAP) Create Dict dict1 = {'key1' :'value1', 2 :[3, 2]} Create ...

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      You can format any time as per your requirement, but simple method to get time in readable format is asctime(): #!/usr/bin/python import time; localtime = time.asctime( time.localtime(time.time()) ) print "Local current time :", localtime This would produce the following result: Local current time : Tue Jan 13 10:17:09 2009 Getting calendar for a month -: The calendar module gives a wide range ...

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      Python is Interactive: You can actually sit at a Python prompt and interact with the interpreter directly to write your programs. Python is Object-Oriented: Python supports Object-Oriented style or technique of

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      Data Processing in Python For loops in Python Run on the interpreter, not compiled Slow compared with C a_list = [] for i in range(100): a_list.append(i*i) @ongchinhwee. Data Processing in Python List comprehensions Slightly faster than for loops No need to call append function at each iteration a_list = [i*i for i in range(100)] @ongchinhwee. Challenges with Data Processing Pandas Optimized ...

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