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software:python [2020/12/26 20:13] – [the Gmail API] superwizardsoftware:python [2024/08/03 02:18] (current) – [Python install] superwizard
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 ------------------------------------------------------------------------------------------------------------------------------------------------\\ ------------------------------------------------------------------------------------------------------------------------------------------------\\
 +
 +====== Python install ======
 +
 +<WRAP center round box >
 +2024-08-02
 +
 +    python -m pip install pandas
 +
 +But when you use python -m pip with python being the specific interpreter you want to use, all of the above ambiguity is gone. If I say python3.8 -m pip then I know pip will be using and installing for my Python 3.8 interpreter (same goes for if I had said python3.7).
 +And if you're on Windows there is an added benefit to using python -m pip as it lets pip update itself. Basically because pip.exe is considered running when you do pip install --upgrade pip, Windows won't let you overwrite pip.exe. But if you do python -m pip install --upgrade pip you avoid that issue as it's python.exe that's running, not pip.exe.
 +
 +From <https://snarky.ca/why-you-should-use-python-m-pip/> 
 +
 +
 +</WRAP>
 +
 +====== Wireshark tcpdump to neo4j plot ======
 +
  
 <WRAP center round box > <WRAP center round box >
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 From <https://medium.com/@ozan/interactive-plots-with-plotly-and-cufflinks-on-pandas-dataframes-af6f86f62d94>  From <https://medium.com/@ozan/interactive-plots-with-plotly-and-cufflinks-on-pandas-dataframes-af6f86f62d94> 
- 
- 
  
 </WRAP> </WRAP>
  
-<WRAP center round box 60%>+====== Parsing text with Python ====== 
 + 
 +<WRAP center round box >
 2019-07-11 2019-07-11
  
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 +</WRAP>
 +
 +====== DataFrames ======
 +
 +<WRAP center round box >
 2019-08-14 2019-08-14
  
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 +</WRAP>
 +
 +====== Backblaze ======
 +
 +<WRAP center round box >
 2019-7-11 2019-7-11
  
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 From <https://plot.ly/python/axes/>  From <https://plot.ly/python/axes/> 
  
 +</WRAP>
  
 +====== Regular Expression ======
 +
 +
 +<WRAP center round box >
  
 2019-05-29 2019-05-29
  
-ValidIpAddressRegex = "^(([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\.){3}([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])$";+    ValidIpAddressRegex = "^(([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])\.){3}([0-9]|[1-9][0-9]|1[0-9]{2}|2[0-4][0-9]|25[0-5])$";
  
 From <https://stackoverflow.com/questions/10086572/ip-address-validation-in-python-using-regex>  From <https://stackoverflow.com/questions/10086572/ip-address-validation-in-python-using-regex> 
  
 +<code>
 \b(25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9]?[0-9])\. \b(25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9]?[0-9])\.
   (25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9]?[0-9])\.   (25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9]?[0-9])\.
   (25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9]?[0-9])\.   (25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9]?[0-9])\.
   (25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9]?[0-9])\b   (25[0-5]|2[0-4][0-9]|1[0-9][0-9]|[1-9]?[0-9])\b
 +</code>
  
 From <https://www.regular-expressions.info/ip.html>  From <https://www.regular-expressions.info/ip.html> 
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 From <https://www.regular-expressions.info/regexmagic.html>  From <https://www.regular-expressions.info/regexmagic.html> 
- 
- 
- 
- 
  
 </WRAP> </WRAP>
  
-====== Plotly ======+====== Split the string at the last occurrence of sep ======
  
 <WRAP center round box > <WRAP center round box >
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     str.rpartition(sep)     str.rpartition(sep)
 +
 Split the string at the last occurrence of sep, and return a 3-tuple containing the part before the separator, the separator itself, and the part after the separator. If the separator is not found, return a 3-tuple containing two empty strings, followed by the string itself. Split the string at the last occurrence of sep, and return a 3-tuple containing the part before the separator, the separator itself, and the part after the separator. If the separator is not found, return a 3-tuple containing two empty strings, followed by the string itself.
  
 From <https://docs.python.org/3/library/stdtypes.html#string-methods>  From <https://docs.python.org/3/library/stdtypes.html#string-methods> 
 +</WRAP>
  
 +====== The built-in os module has a number of useful functions ======
 +
 +<WRAP center round box >
 The built-in os module has a number of useful functions that can be used to list directory contents and filter the results. To get a list of all the files and folders in a particular directory in the filesystem, use os.listdir() in legacy versions of Python or os.scandir() in Python 3.x. os.scandir() is the preferred method to use if you also want to get file and directory properties such as file size and modification date. The built-in os module has a number of useful functions that can be used to list directory contents and filter the results. To get a list of all the files and folders in a particular directory in the filesystem, use os.listdir() in legacy versions of Python or os.scandir() in Python 3.x. os.scandir() is the preferred method to use if you also want to get file and directory properties such as file size and modification date.
  
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 +</WRAP>
 +
 +====== Splitting, Concatenating, and Joining Strings in Python ======
 +
 +<WRAP center round box >
 2019-05-20 2019-05-20
  
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 +</WRAP>
 +
 +====== Regex Testor ======
 +
 +<WRAP center round box >
 Regex Testor Regex Testor
  
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 https://regex101.com/ https://regex101.com/
  
 +</WRAP>
 +
 +====== processdokuwikifile ======
 +
 +<WRAP center round box >
 2019-05-15 2019-05-15
  
 +<code>
 def processdokuwikifile(in_file,par_out_file): def processdokuwikifile(in_file,par_out_file):
     """lkjshflkjlsk"""     """lkjshflkjlsk"""
-    #with open('C:\\Users\\Administrator\\Desktop\\Gopala-Toi\\FTPListingOutput2018-10-25-01-31-alhp.txt','w') as outlog:+    #with open('C:\\Users\\An\\Desktop\\GoTo\\Listing2018-10-25-01-31-.txt','w') as outlog:
     with open(par_out_file,'w',encoding='utf-8') as out_file:     with open(par_out_file,'w',encoding='utf-8') as out_file:
         out = csv.writer(out_file)         out = csv.writer(out_file)
-        #with open('C:\\Users\\Administrator\\Desktop\\Gopala-Toi\\FTPListingSearch2018-10-25-01-31-alhp.txt','r') as ftplog: +        #with open('C:\\Users\\An\\Desktop\\GoTo\\Search2018-10-25-01-31-.txt','r') as log: 
-        #with open('C:\\Users\\Administrator\\Desktop\\Gopala-Toi\\FTPListingSearch2018-10-25-01-31-innova.txt','r') as ftplog: +        #with open('C:\\Users\\An\\Desktop\\GoTo\\Search2018-10-25-01-31-.txt','r') as log: 
-        with open(in_file,'r',encoding='utf-8') as indokuwikifile:+        with open(in_file,'r',encoding='utf-8') as infile: 
 +</code>
  
  
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 From <https://www.vipinajayakumar.com/parsing-text-with-python/>  From <https://www.vipinajayakumar.com/parsing-text-with-python/> 
 +</WRAP>
  
 +====== PASS BY OBJECT REFERENCE (Case in python): ======
  
 +<WRAP center round box >
  
 2019-04-08 2019-04-08
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 PASS BY OBJECT REFERENCE (Case in python): PASS BY OBJECT REFERENCE (Case in python):
 Here, "Object references are passed by value." Here, "Object references are passed by value."
 +<code>
 def append_one(li): def append_one(li):
     li.append(1)     li.append(1)
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 append_one(x) append_one(x)
 print x print x
 +</code>
 +
 Here, the statement x = [0] makes a variable x (box) that points towards the object [0] Here, the statement x = [0] makes a variable x (box) that points towards the object [0]
 On the function being called, a new box li is created. The contents of li is the SAME as the contents of box x. Both the boxes contain the same object. That is, both the variables point to the same object in memory. Hence, any change to the object pointed at by li will also be reflected by the object pointed at by x. On the function being called, a new box li is created. The contents of li is the SAME as the contents of box x. Both the boxes contain the same object. That is, both the variables point to the same object in memory. Hence, any change to the object pointed at by li will also be reflected by the object pointed at by x.
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 If the variable li is reassigned in the function, then li will point to a seperate object in memory. x however, will continue pointing to the same object in memory it was pointing to earlier. If the variable li is reassigned in the function, then li will point to a seperate object in memory. x however, will continue pointing to the same object in memory it was pointing to earlier.
 Example: Example:
 +<code>
 def append_one(li): def append_one(li):
     li = [0, 1]     li = [0, 1]
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 append_one(x) append_one(x)
 print x print x
 +</code>
 The output of the program will be: The output of the program will be:
 [0] [0]
  
 From <https://stackoverflow.com/questions/13299427/python-functions-call-by-reference>  From <https://stackoverflow.com/questions/13299427/python-functions-call-by-reference> 
 +</WRAP>
  
  
  
 +====== Plotly ======
 +
 +<WRAP center round box >
 2019-03-31 2019-03-31
  
 Plotly Plotly
  
 +<code>
 1962_2006_walmart_store_openings.csv Update 1962_2006_walmart_store_openings.csv 4 years ago  1962_2006_walmart_store_openings.csv Update 1962_2006_walmart_store_openings.csv 4 years ago
  2010_alcohol_consumption_by_country.csv Create 2010_alcohol_consumption_by_country.csv 3 years ago  2010_alcohol_consumption_by_country.csv Create 2010_alcohol_consumption_by_country.csv 3 years ago
  2011_february_aa_flight_paths.csv Create 2011_february_aa_flight_paths.csv 4 years ago  2011_february_aa_flight_paths.csv Create 2011_february_aa_flight_paths.csv 4 years ago
  2011_february_us_airport_traffic.csv Create 2011_february_us_airport_traffic.csv 4 years ago  2011_february_us_airport_traffic.csv Create 2011_february_us_airport_traffic.csv 4 years ago
 +</code>
  
 From <https://github.com/plotly/datasets>  From <https://github.com/plotly/datasets> 
  
  
 +</WRAP>
 +
 +====== Python write to CSV ======
 +
 +
 +<WRAP center round box >
  
 2019-03-29 2019-03-29
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 Python write to CSV Python write to CSV
  
 +<code>
 import csv import csv
 with open(..., 'wb') as myfile: with open(..., 'wb') as myfile:
     wr = csv.writer(myfile, quoting=csv.QUOTE_ALL)     wr = csv.writer(myfile, quoting=csv.QUOTE_ALL)
     wr.writerow(mylist)     wr.writerow(mylist)
 +</code>
  
 From <https://stackoverflow.com/questions/2084069/create-a-csv-file-with-values-from-a-python-list>  From <https://stackoverflow.com/questions/2084069/create-a-csv-file-with-values-from-a-python-list> 
  
 +<code>
     with open(iniFile.absolute(), 'w', newline='') as iniSettings:     with open(iniFile.absolute(), 'w', newline='') as iniSettings:
         #spamwriter = csv.writer(iniSettings, delimiter=',',         #spamwriter = csv.writer(iniSettings, delimiter=',',
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         for val in folder_list:         for val in folder_list:
             spamwriter.writerow(val)             spamwriter.writerow(val)
 +</code>
  
 you can also use wr.writerows(list) – tovmeod Dec 25 '11 at 22:29 you can also use wr.writerows(list) – tovmeod Dec 25 '11 at 22:29
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 From <https://stackoverflow.com/questions/2084069/create-a-csv-file-with-values-from-a-python-list>  From <https://stackoverflow.com/questions/2084069/create-a-csv-file-with-values-from-a-python-list> 
 +</WRAP>
  
 +====== CSV in Python adding an extra carriage return, on Windows ======
 +
 +<WRAP center round box >
  
 CSV in Python adding an extra carriage return, on Windows CSV in Python adding an extra carriage return, on Windows
  
 One of the possible fixes in Python3, as described in @YiboYang's answer, is opening the file with the newline parameter set to be an empty string: One of the possible fixes in Python3, as described in @YiboYang's answer, is opening the file with the newline parameter set to be an empty string:
 +<code>
 f = open(path_to_file, 'w', newline='') f = open(path_to_file, 'w', newline='')
 writer = csv.writer(f) writer = csv.writer(f)
 +</code>
  
 From <https://stackoverflow.com/questions/3191528/csv-in-python-adding-an-extra-carriage-return-on-windows>  From <https://stackoverflow.com/questions/3191528/csv-in-python-adding-an-extra-carriage-return-on-windows> 
  
 +</WRAP>
 +
 +====== Examples of simple type checking in Python: ======
 +
 +
 +<WRAP center round box >
 2019-02-17 2019-02-17
  
  
 Examples of simple type checking in Python: Examples of simple type checking in Python:
 +<code>
 assert type(variable_name) == int assert type(variable_name) == int
 assert type(variable_name) == bool assert type(variable_name) == bool
 assert type(variable_name) == list assert type(variable_name) == list
 +</code>
  
 From <https://stackoverflow.com/questions/402504/how-to-determine-a-python-variables-type>  From <https://stackoverflow.com/questions/402504/how-to-determine-a-python-variables-type> 
  
 Use type Use type
 +<code>
 >>> type(one) >>> type(one)
 <type 'int'> <type 'int'>
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 >>> type(one).__name__ >>> type(one).__name__
 'int' 'int'
 +</code>
  
 From <https://stackoverflow.com/questions/402504/how-to-determine-a-python-variables-type>  From <https://stackoverflow.com/questions/402504/how-to-determine-a-python-variables-type> 
  
 +</WRAP>
 +
 +====== isinstance() ======
 +
 +<WRAP center round box >
 With one argument, return the type of an object. The return value is a type object. The isinstance() built-in function is recommended for testing With one argument, return the type of an object. The return value is a type object. The isinstance() built-in function is recommended for testing
  
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 • Syntax: • Syntax:
 +<code>
 isinstance(object, classinfo)  isinstance(object, classinfo) 
 +</code>
  
 The isinstance() takes two parameters: The isinstance() takes two parameters:
 +<code>
 object : object to be checked object : object to be checked
 classinfo : class, type, or tuple of classes and types classinfo : class, type, or tuple of classes and types
 +</code>
  
 From <https://www.geeksforgeeks.org/type-isinstance-python/>  From <https://www.geeksforgeeks.org/type-isinstance-python/> 
- 
- 
- 
  
 </WRAP> </WRAP>
  
-<WRAP center round box 60%>+====== graph-cli ====== 
 + 
 +<WRAP center round box >
 2019-01-05 2019-01-05
  
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 +</WRAP>
 +
 +====== copy2 ======
 +
 +<WRAP center round box >
  
 2018-12-25 2018-12-25
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 As with the previous methods, copy2 method is identical to the copy method, but in addition to copying the file contents it also attempts to preserve all the source file's metadata. If the platform doesn't allow for full metadata saving, then copy2 doesn't return failure and it will just preserve any metadata it can. As with the previous methods, copy2 method is identical to the copy method, but in addition to copying the file contents it also attempts to preserve all the source file's metadata. If the platform doesn't allow for full metadata saving, then copy2 doesn't return failure and it will just preserve any metadata it can.
 The syntax is as follows: The syntax is as follows:
 +<code>
 shutil.copy2(src_file, dest_file, *, follow_symlinks=True)   shutil.copy2(src_file, dest_file, *, follow_symlinks=True)  
 +</code>
  
 From <https://stackabuse.com/how-to-copy-a-file-in-python/>  From <https://stackabuse.com/how-to-copy-a-file-in-python/> 
  
 +</WRAP>
 +
 +====== Start of String Only: \A ======
 +
 +<WRAP center round box >
  
 Start of String Only: \A Start of String Only: \A
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 From <https://docs.microsoft.com/en-us/dotnet/standard/base-types/anchors-in-regular-expressions>  From <https://docs.microsoft.com/en-us/dotnet/standard/base-types/anchors-in-regular-expressions> 
 +
 +</WRAP>
 +
 +====== Decimals interact well with much of the rest of Python ======
 +
 +<WRAP center round box >
  
 decimal — Decimal fixed point and floating point arithmetic decimal — Decimal fixed point and floating point arithmetic
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 Unlike hardware based binary floating point, the decimal module has a user alterable precision (defaulting to 28 places) which can be as large as needed for a given problem: Unlike hardware based binary floating point, the decimal module has a user alterable precision (defaulting to 28 places) which can be as large as needed for a given problem:
 +<code>
 >>> from decimal import * >>> from decimal import *
 >>> getcontext().prec = 6 >>> getcontext().prec = 6
Line 765: Line 885:
 >>> Decimal(1) / Decimal(7) >>> Decimal(1) / Decimal(7)
 Decimal('0.1428571428571428571428571429') Decimal('0.1428571428571428571428571429')
 +</code>
  
 From <https://docs.python.org/3/library/decimal.html>  From <https://docs.python.org/3/library/decimal.html> 
  
 Decimals interact well with much of the rest of Python. Here is a small decimal floating point flying circus: Decimals interact well with much of the rest of Python. Here is a small decimal floating point flying circus:
 +<code>
 >>> data = list(map(Decimal, '1.34 1.87 3.45 2.35 1.00 0.03 9.25'.split())) >>> data = list(map(Decimal, '1.34 1.87 3.45 2.35 1.00 0.03 9.25'.split()))
 >>> max(data) >>> max(data)
Line 777: Line 899:
 [Decimal('0.03'), Decimal('1.00'), Decimal('1.34'), Decimal('1.87'), [Decimal('0.03'), Decimal('1.00'), Decimal('1.34'), Decimal('1.87'),
  Decimal('2.35'), Decimal('3.45'), Decimal('9.25')]  Decimal('2.35'), Decimal('3.45'), Decimal('9.25')]
 +</code>
  
 From <https://docs.python.org/3/library/decimal.html>  From <https://docs.python.org/3/library/decimal.html> 
 +
 +</WRAP>
 +
 +====== splitting a number into the integer and decimal parts ======
 +
 +<WRAP center round box >
 +
  
 splitting a number into the integer and decimal parts splitting a number into the integer and decimal parts
  
  
 +<code>
 >>> a = 147.234 >>> a = 147.234
 >>> a % 1 >>> a % 1
Line 789: Line 920:
 147.0 147.0
 >>> >>>
 +</code>
 If you want the integer part as an integer and not a float, use int(a//1) instead. To obtain the tuple in a single passage: (int(a//1), a%1) If you want the integer part as an integer and not a float, use int(a//1) instead. To obtain the tuple in a single passage: (int(a//1), a%1)
 EDIT: Remember that the decimal part of a float number is approximate, so if you want to represent it as a human would do, you need to use the decimal library EDIT: Remember that the decimal part of a float number is approximate, so if you want to represent it as a human would do, you need to use the decimal library
Line 794: Line 926:
 From <https://stackoverflow.com/questions/6681743/splitting-a-number-into-the-integer-and-decimal-parts>  From <https://stackoverflow.com/questions/6681743/splitting-a-number-into-the-integer-and-decimal-parts> 
  
 +<code>
 import math import math
 x = 1234.5678 x = 1234.5678
 math.modf(x) # (0.5678000000000338, 1234.0) math.modf(x) # (0.5678000000000338, 1234.0)
 +</code>
  
 From <https://stackoverflow.com/questions/6681743/splitting-a-number-into-the-integer-and-decimal-parts>  From <https://stackoverflow.com/questions/6681743/splitting-a-number-into-the-integer-and-decimal-parts> 
Line 802: Line 936:
  
 Create a date object: Create a date object:
 +<code>
 import datetime import datetime
  
 x = datetime.datetime(2020, 5, 17) x = datetime.datetime(2020, 5, 17)
 +</code>
  
 From <https://www.w3schools.com/python/python_datetime.asp>  From <https://www.w3schools.com/python/python_datetime.asp> 
  
 +</WRAP>
 +
 +====== Module datetime provides ======
 +
 +<WRAP center round box >
  
 Module datetime provides classes for manipulating date and time in more object oriented way. One of them is datetime.datetime.now which return number of seconds since the epoch. Module datetime provides classes for manipulating date and time in more object oriented way. One of them is datetime.datetime.now which return number of seconds since the epoch.
  
 +<code>
 import datetime; import datetime;
 ts = datetime.datetime.now().timestamp() ts = datetime.datetime.now().timestamp()
 print(ts) print(ts)
 # 1545665588.52 # 1545665588.52
 +</code>
 +
  
 From <http://timestamp.online/article/how-to-get-current-timestamp-in-python>  From <http://timestamp.online/article/how-to-get-current-timestamp-in-python> 
  
 +<code>
 x = int(datetime.datetime(2070, 12, 13, 1, 48, 35).timestamp() - datetime.datetime.now().timestamp()//1) x = int(datetime.datetime(2070, 12, 13, 1, 48, 35).timestamp() - datetime.datetime.now().timestamp()//1)
  
 print(x) print(x)
 +</code>
  
  
 +</WRAP>
 +
 +====== Example 2: Right justify string and fill the remaining spaces ======
 +
 +<WRAP center round box >
 Example 2: Right justify string and fill the remaining spaces Example 2: Right justify string and fill the remaining spaces
  
 +<code>
 # example string # example string
 string = 'cat' string = 'cat'
Line 831: Line 983:
 # print right justified string # print right justified string
 print(string.rjust(width, fillchar)) print(string.rjust(width, fillchar))
 +</code>
  
 From <https://www.programiz.com/python-programming/methods/string/rjust>  From <https://www.programiz.com/python-programming/methods/string/rjust> 
  
 +</WRAP>
  
 +====== Practical Business Python ======
  
 +<WRAP center round box >
 2018-12-24 2018-12-24
  
 Practical Business Python Practical Business Python
- 
  
 pbpython/extras/Pathlib-Cheatsheet.pdf pbpython/extras/Pathlib-Cheatsheet.pdf
Line 847: Line 1001:
  
  
 +</WRAP>
  
 +====== The divmod() returns ======
  
 +<WRAP center round box >
  
  
Line 858: Line 1015:
 From <https://www.programiz.com/python-programming/methods/built-in/divmod>  From <https://www.programiz.com/python-programming/methods/built-in/divmod> 
  
 +</WRAP>
 +
 +====== numpy ======
 +
 +<WRAP center round box >
 2018-11-18 2018-11-18
  
 +<code>
 pip install numpy pip install numpy
 +</code>
  
 From <https://pypi.org/project/numpy/>  From <https://pypi.org/project/numpy/> 
  
 +<code>
 pip3.6 install numpy pip3.6 install numpy
 pip3.6 install scipy pip3.6 install scipy
Line 871: Line 1036:
 Install opencv-python instead of cv2. Install opencv-python instead of cv2.
 pip install opencv-python pip install opencv-python
 +</code>
  
 From <https://github.com/jazzsaxmafia/video_to_sequence/issues/3>  From <https://github.com/jazzsaxmafia/video_to_sequence/issues/3> 
  
 +</WRAP>
 +
 +====== compare the use of lambda ======
 +
 +<WRAP center round box >
  
  
Line 881: Line 1052:
  
 From <https://stackoverflow.com/questions/8966538/syntax-behind-sortedkey-lambda>  From <https://stackoverflow.com/questions/8966538/syntax-behind-sortedkey-lambda> 
 +</WRAP>
 +
 +====== Key Functions ======
 +
 +<WRAP center round box >
  
 Key Functions Key Functions
Line 896: Line 1072:
 This image was created with the following code. This image was created with the following code.
  
 +<code>
 1 import operator                                                   1 import operator                                                  
 2 import pylab 2 import pylab
Line 923: Line 1100:
 26 pylab.grid() 26 pylab.grid()
 27 pylab.title("Performance sorted dictionary by values") 27 pylab.title("Performance sorted dictionary by values")
 +</code>
  
 From <http://thomas-cokelaer.info/blog/2017/12/how-to-sort-a-dictionary-by-values-in-python/>  From <http://thomas-cokelaer.info/blog/2017/12/how-to-sort-a-dictionary-by-values-in-python/> 
Line 928: Line 1106:
 As already said, iteritems() will be a problem, but you mention a syntax error, which comes from the lambda declaration with parenthesis: As already said, iteritems() will be a problem, but you mention a syntax error, which comes from the lambda declaration with parenthesis:
 Change: Change:
 +<code>
 key=lambda(k, v): sort_order.index(k) key=lambda(k, v): sort_order.index(k)
 +</code>
 To: To:
 +<code>
 key=lambda k, v: sort_order.index(k) key=lambda k, v: sort_order.index(k)
 +</code>
  
 From <https://stackoverflow.com/questions/47749438/lambda-sorting-in-python-3>  From <https://stackoverflow.com/questions/47749438/lambda-sorting-in-python-3> 
Line 937: Line 1119:
 </WRAP> </WRAP>
  
-<WRAP center round box 60%>+====== What problem does pandas solve? ====== 
 + 
 +<WRAP center round box >
  
 2018-11-15 2018-11-15
Line 947: Line 1131:
  
 NumPy NumPy
 +<code>
 NumPy is the fundamental package for scientific computing with Python. It contains among other things: NumPy is the fundamental package for scientific computing with Python. It contains among other things:
 • a powerful N-dimensional array object • a powerful N-dimensional array object
Line 952: Line 1137:
 • tools for integrating C/C++ and Fortran code • tools for integrating C/C++ and Fortran code
 • useful linear algebra, Fourier transform, and random number capabilities • useful linear algebra, Fourier transform, and random number capabilities
 +</code>
  
 From <http://www.numpy.org/>  From <http://www.numpy.org/> 
Line 958: Line 1144:
  
 From <https://machinelearningmastery.com/broadcasting-with-numpy-arrays/>  From <https://machinelearningmastery.com/broadcasting-with-numpy-arrays/> 
 +
 +</WRAP>
 +
 +====== scikit-learn ======
 +
 +<WRAP center round box >
  
 scikit-learn scikit-learn
Line 973: Line 1165:
 From <http://pybrain.org/>  From <http://pybrain.org/> 
  
 +</WRAP>
  
 +====== python read fails on special characters ======
  
 +<WRAP center round box >
  
 2018-11-06 2018-11-06
Line 988: Line 1183:
  
 From <https://stackoverflow.com/questions/47635759/how-to-read-a-text-file-with-special-characters-in-python>  From <https://stackoverflow.com/questions/47635759/how-to-read-a-text-file-with-special-characters-in-python> 
 +</WRAP>
  
 +====== idle args ======
  
 +
 +<WRAP center round box >
  
 2018-10-31 2018-10-31
Line 1003: Line 1202:
  
 Pending application of a patch, the following will work to only add args to sys.argv when running from an Idle editor. Pending application of a patch, the following will work to only add args to sys.argv when running from an Idle editor.
 +<code>
 import sys import sys
 # ... # ...
Line 1017: Line 1217:
 except: except:
     sys.argv = [sys.argv[0], 'argument1', 'argument2', 'argument2']     sys.argv = [sys.argv[0], 'argument1', 'argument2', 'argument2']
 +</code>
  
 From <https://stackoverflow.com/questions/2148994/when-running-a-python-script-in-idle-is-there-a-way-to-pass-in-command-line-arg>  From <https://stackoverflow.com/questions/2148994/when-running-a-python-script-in-idle-is-there-a-way-to-pass-in-command-line-arg> 
  
 +</WRAP>
  
 +====== Auto detect IDLE and prompt for command-line argument values ======
 +
 +
 +<WRAP center round box >
  
 2018-10-31 2018-10-31
Line 1026: Line 1232:
 Auto detect IDLE and prompt for command-line argument values Auto detect IDLE and prompt for command-line argument values
  
-#! /usr/bin/env python3+<code> 
 +c#! /usr/bin/env python3
 import sys import sys
 def ok(x=None): def ok(x=None):
Line 1042: Line 1249:
       root.bind("<Escape>", lambda x: root.destroy())       root.bind("<Escape>", lambda x: root.destroy())
 e.focus() e.focus()
 +</code>
  
 From <https://stackoverflow.com/questions/2148994/when-running-a-python-script-in-idle-is-there-a-way-to-pass-in-command-line-arg/44687632#44687632>  From <https://stackoverflow.com/questions/2148994/when-running-a-python-script-in-idle-is-there-a-way-to-pass-in-command-line-arg/44687632#44687632> 
  
 +</WRAP>
 +
 +====== print the files deleted ======
 +
 +<WRAP center round box >
  
  
Line 1050: Line 1263:
 Python Script Python Script
 Here's a Python script that will also print the files deleted Here's a Python script that will also print the files deleted
 +<code>
 import os import os
 for line in open("./data/deleted.files"): for line in open("./data/deleted.files"):
Line 1061: Line 1275:
     except OSError:     except OSError:
         pass         pass
 +</code>
 +
 +</WRAP>
 +
 +====== delete directories ======
 +
 +<WRAP center round box >
 Here's an alternative Python script that is case sensitive and will also delete directories included in the list Here's an alternative Python script that is case sensitive and will also delete directories included in the list
 +<code>
 import os import os
 import shutil import shutil
Line 1086: Line 1308:
                 #print('File not found => ' + path)                 #print('File not found => ' + path)
                 pass                 pass
 +</code>
  
 From <https://www.dokuwiki.org/install:unused_files>  From <https://www.dokuwiki.org/install:unused_files> 
  
  
 +</WRAP>
 +
 +====== checkpoints ======
 +
 +<WRAP center round box >
  
 2018-10-06 2018-10-06
 GLOB GLOB
  
 +<code>
 def delete_previous_checkpoints(self, num_previous=5): def delete_previous_checkpoints(self, num_previous=5):
         """         """
Line 1110: Line 1339:
                 ckpt_file_nm = self.get_checkpoint_location() + '/model_' + str(ckpt_id) + '.ckpt'                 ckpt_file_nm = self.get_checkpoint_location() + '/model_' + str(ckpt_id) + '.ckpt'
                 os.remove(ckpt_file_nm)                  os.remove(ckpt_file_nm) 
 +</code>
  
 From <https://www.programcreek.com/python/example/92/glob.glob>  From <https://www.programcreek.com/python/example/92/glob.glob> 
 +</WRAP>
  
 +====== argparse ======
  
 +<WRAP center round box >
  
 2018-10-06 2018-10-06
Line 1121: Line 1354:
 From <https://stackoverflow.com/questions/35365344/python-sys-argv-and-argparse>  From <https://stackoverflow.com/questions/35365344/python-sys-argv-and-argparse> 
  
 +</WRAP>
 +
 +====== Argparse Tutorial ======
 +
 +
 +<WRAP center round box >
  
 Argparse Tutorial Argparse Tutorial
Line 1128: Line 1367:
 From <https://docs.python.org/3.7/howto/argparse.html>  From <https://docs.python.org/3.7/howto/argparse.html> 
  
 +<code>
 *args and **kwargs in Python *args and **kwargs in Python
 *args *args
 +</code>
 The special syntax *args in function definitions in python is used to pass a variable number of arguments to a function. It is used to pass a non-keyworded, variable-length argument list. The special syntax *args in function definitions in python is used to pass a variable number of arguments to a function. It is used to pass a non-keyworded, variable-length argument list.
  
Line 1135: Line 1376:
  
  
 +</WRAP>
 +
 +====== recursive ======
 +
 +<WRAP center round box >
  
 2018-10-03 2018-10-03
Line 1144: Line 1390:
 From <https://stackoverflow.com/questions/14798220/how-can-i-search-sub-folders-using-glob-glob-module-in-python>  From <https://stackoverflow.com/questions/14798220/how-can-i-search-sub-folders-using-glob-glob-module-in-python> 
  
 +I have successfully used 
 +<code>
 +for i in d.rglob('**/*'):
 +</code>
 +
 +<code>
 for i in d.iglob('**/*'): for i in d.iglob('**/*'):
 +</code>
  
 The “**” pattern means “this directory and all subdirectories, recursively”. In other words, it enables recursive globbing: The “**” pattern means “this directory and all subdirectories, recursively”. In other words, it enables recursive globbing:
Line 1150: Line 1403:
 From <https://docs.python.org/3/library/pathlib.html>  From <https://docs.python.org/3/library/pathlib.html> 
  
 +<code>
 errno.ENOTEMPTY errno.ENOTEMPTY
  Directory not empty  Directory not empty
 +</code>
  
 From <https://docs.python.org/2/library/errno.html>  From <https://docs.python.org/2/library/errno.html> 
  
 +<code>
 errno.EACCES¶ errno.EACCES¶
  Permission denied  Permission denied
 +</code>
  
 From <https://docs.python.org/2/library/errno.html>  From <https://docs.python.org/2/library/errno.html> 
  
 +<code>
 except OSError as e:  except OSError as e:
  if e.errno not in _IGNORED_ERROS:  if e.errno not in _IGNORED_ERROS:
  raise  raise
  return False  return False
 +</code>
  
 From <https://github.com/python/cpython/blob/3.7/Lib/pathlib.py>  From <https://github.com/python/cpython/blob/3.7/Lib/pathlib.py> 
  
 +<code>
 except OSError as e:  except OSError as e:
  if e.errno != EINVAL and strict:  if e.errno != EINVAL and strict:
  raise  raise
 +</code>
  
 From <https://github.com/python/cpython/blob/3.7/Lib/pathlib.py>  From <https://github.com/python/cpython/blob/3.7/Lib/pathlib.py> 
  
 +</WRAP>
 +
 +====== walktree ======
 +
 +<WRAP center round box >
 2018-10-01 2018-10-01
  
Line 1200: Line 1466:
  
  
 +</WRAP>
 +
 +====== Dropbox in python ======
 +
 +
 +
 +<WRAP center round box >
  
 2018-09-29 2018-09-29
 Dropbox in python Dropbox in python
  
 +<code>
 from pathlib import Path from pathlib import Path
 import arrow import arrow
Line 1216: Line 1489:
             #remove it             #remove it
             pass             pass
 +</code>
 From <https://stackoverflow.com/questions/12485666/python-deleting-all-files-in-a-folder-older-than-x-days>  From <https://stackoverflow.com/questions/12485666/python-deleting-all-files-in-a-folder-older-than-x-days> 
  
Line 1224: Line 1497:
 From <https://stackoverflow.com/questions/4289937/how-to-repeat-last-command-in-python-interpreter-shell>  From <https://stackoverflow.com/questions/4289937/how-to-repeat-last-command-in-python-interpreter-shell> 
  
 +</WRAP>
 +
 +====== CSV Toolkit Overview ======
 +
 +
 +<WRAP center round box >
 2018-09-04 2018-09-04
  
Line 1232: Line 1511:
 From <https://pypi.org/project/csv.toolkit/>  From <https://pypi.org/project/csv.toolkit/> 
  
 +</WRAP>
 +
 +====== What is Bonobo? ======
 +
 +<WRAP center round box >
 What is Bonobo? What is Bonobo?
 Bonobo is a lightweight Extract-Transform-Load (ETL) framework for Python 3.5+. Bonobo is a lightweight Extract-Transform-Load (ETL) framework for Python 3.5+.
Line 1243: Line 1527:
 From <https://csvkit.readthedocs.io/en/1.0.3/>  From <https://csvkit.readthedocs.io/en/1.0.3/> 
  
 +</WRAP>
 +
 +====== Awesome Python ======
 +
 +<WRAP center round box >
 Awesome Python  Awesome Python 
 A curated list of awesome Python frameworks, libraries, software and resources. A curated list of awesome Python frameworks, libraries, software and resources.
Line 1258: Line 1547:
 From <https://github.com/vinta/awesome-python>  From <https://github.com/vinta/awesome-python> 
  
 +</WRAP>
  
 +====== Python data visualization: Comparing 7 tools ======
 +
 +<WRAP center round box >
  
 2018-09-04 2018-09-04
Line 1267: Line 1560:
 From <https://www.dataquest.io/blog/python-data-visualization-libraries/>  From <https://www.dataquest.io/blog/python-data-visualization-libraries/> 
  
 +</WRAP>
  
  
 +====== Best way to sort txt file using csv tools in python ======
 +
 +
 +<WRAP center round box >
 2018-09-04 2018-09-04
  
Line 1275: Line 1573:
 From <https://stackoverflow.com/questions/45221637/best-way-to-sort-txt-file-using-csv-tools-in-python>  From <https://stackoverflow.com/questions/45221637/best-way-to-sort-txt-file-using-csv-tools-in-python> 
  
 +<code>
 import csv import csv
 import operator import operator
Line 1291: Line 1590:
   sortedlist=sorted(f,key=operator.itemgetter(0),reverse=True)   sortedlist=sorted(f,key=operator.itemgetter(0),reverse=True)
   print(sortedlist)   print(sortedlist)
 +</code>
  
 From <https://stackoverflow.com/questions/45221637/best-way-to-sort-txt-file-using-csv-tools-in-python>  From <https://stackoverflow.com/questions/45221637/best-way-to-sort-txt-file-using-csv-tools-in-python> 
Line 1298: Line 1598:
 2018-08-10 2018-08-10
 The sys.path list contains the list of directories which will be searched for modules at runtime: The sys.path list contains the list of directories which will be searched for modules at runtime:
 +<code>
 python -v python -v
 >>> import sys >>> import sys
 >>> sys.path >>> sys.path
 ['', '/usr/local/lib/python25.zip', '/usr/local/lib/python2.5', ... ] ['', '/usr/local/lib/python25.zip', '/usr/local/lib/python2.5', ... ]
 +
 +</code>
  
 From <https://stackoverflow.com/questions/269795/how-do-i-find-the-location-of-python-module-sources>  From <https://stackoverflow.com/questions/269795/how-do-i-find-the-location-of-python-module-sources> 
  
 For speedtest - /usr/local/lib For speedtest - /usr/local/lib
- 
  
  
 </WRAP> </WRAP>
  
software/python.1609013594.txt.gz · Last modified: by superwizard