Codes which can be used to increase productivity.
Project description
How to install
pip install ashfaquecodes
Documentation
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Color the printed outputs in terminal.
from ashfaquecodes.ashfaquecodes import ( , blue_print_start , red_print_start , green_print_start , color_print_reset ) import pprint pp = pprint.PrettyPrinter(indent=4) # blue_print_start() red_print_start() # green_print_start() pp.pprint("--------------------------") color_print_reset()
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Get a unique list if list of non-unique elements passed in this function.
from ashfaquecodes.ashfaquecodes import unique_list _ = unique_list(non_unique_list)
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Get unique list of dictionaries if a list of duplicate dictionaries passed in this function.
from ashfaquecodes.ashfaquecodes import unique_list_of_dicts _ = unique_list_of_dicts(non_unique_list_of_dicts)
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Get a list of non-empty dictionaries if a list of empty and non-empty dictionaries passed in this function.
from ashfaquecodes.ashfaquecodes import remove_empty_dicts_from_list _ = remove_empty_dicts_from_list(list_with_empty_dicts)
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Get a sorted list of dictionaries returned according to your desired sorting key of the dictionary if a list of non-empty dictionaries passed in this function. Supports ascending and descending order.
from ashfaquecodes.ashfaquecodes import sort_list_of_dicts _ = sort_list_of_dicts(unsorted_list = unsorted_lst, key = 'dict_key_name', desc = True)
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Get execution time of your code. Can also prints the execution time in terminal if an optional parameter
print_time = True
is passed in the function.from ashfaquecodes.ashfaquecodes import ( get_execution_start_time , get_execution_end_time ) execution_start_time = get_execution_start_time() total_execution_time_str = get_execution_end_time(execution_start_time, print_time = True)
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Custom Decorator to calculate execution time of a function which will be printed in the terminal during execution of that function.
from ashfaquecodes.ashfaquecodes import timer @timer def your_function(request): pass
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Custom
cprint()
function to print output in the terminal with different colors.from ashfaquecodes.ashfaquecodes import cprint cprint('This is ' + 'a' + ' test print statement', color='red') cprint('This is an error message', color='green') cprint("Python : %2d, Portal : %5.2f" % (1, 05.333), color='yellow') cprint("Total students : %3d, Boys : %2d" % (240, 120), color='blue') cprint("%7.3o" % (25), color='magenta') cprint("%10.3E" % (356.08977), color='cyan') cprint('I love "{}!"'.format('Python'), color='white') cprint(f"I love {'Python'} \"{'Language'}!\"", color='red') data = dict(fun ="Python", adj ="Portal") cprint("I love {fun} computer {adj}".format(**data), color='red') cstr = "I love Python" # Printing the center aligned string with fillchr cprint("Center aligned string with fillchr: ", color='green') cprint(cstr.center(40, '#'), color='yellow') # cprinting the left aligned string with "-" padding cprint("The left aligned string is : ", color='blue') cprint(cstr.ljust(40, '-'), color='magenta') # cprinting the right aligned string with "-" padding cprint("The right aligned string is : ", color='cyan') cprint(cstr.rjust(40, '-'), color='white')
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Custom
cpprint
function to pprint output in the terminal with different colors and different formats.from ashfaquecodes.ashfaquecodes import cpprint sample_data = { 'key5': 'value1', 'key2': 'value2', 'key3': { 'nested_key': 'nested_value', 'nested_dict': { 'deep_key': 'deep_value' } }, 'key4': [1, 2, 3, 4, 5], 'key1': [ {'name': 'John', 'age': 30}, {'name': 'Alice', 'age': 25}, {'name': 'Bob', 'age': 35} ] } cpprint(sample_data, indent = 4, color='green', width=80, depth=2, compact=False, sort_dicts=True) # Available colors: ['red', 'green', 'yellow', 'blue', 'magenta', 'cyan', 'white']
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Query a large list of dicts like any SQL WHERE clause.
from ashfaquecodes.ashfaquecodes import query_list_of_dicts data = [ {'age': 23, 'name': 'user11'}, {'age': 27, 'name': 'user12'}, {'age': 25, 'name': 'user13'} ] # Using the 'sqlite' engine (default) query_conditions = "age > 25 OR name LIKE '%user11%'" filtered_data = query_list_of_dicts(input_list_of_dicts, query_conditions) # Using the 'pandas' engine (pandas needs to be installed to use this) query_conditions = 'age == 25 or name.str.contains("user11")' filtered_data = query_list_of_dicts(input_list_of_dicts, query_conditions, engine='pandas')
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