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Articles by Rajendra Dharmkar
159 articles
Which one is the Python module to obfuscate javascript?
You can use the jsmin module to minimize and obfuscate JavaScript code using Python. Minification removes whitespace, comments, and unnecessary characters from JavaScript files, reducing file size without changing functionality. Installing jsmin Install jsmin using pip − $ pip install jsmin Syntax Following is the basic syntax for using jsmin in Python − from jsmin import jsmin minified_code = jsmin(javascript_string) The jsmin() function takes a JavaScript source string as input and returns the minified version as a string. Minifying a JavaScript File To use jsmin in ...
Read MoreWhat is the difference between time.clock() and time.time()?
The function time.time() returns the time in seconds since the epoch, i.e., the point where the time starts. For Unix and Windows, the epoch is January 1, 1970 (UTC). The function time.clock() was used to measure processor time on Unix and wall-clock time on Windows. However, time.clock() was deprecated in Python 3.3 and removed in Python 3.8. The recommended replacements are time.perf_counter() for wall-clock timing and time.process_time() for CPU time. Syntax import time time.time() # Wall-clock time since epoch time.perf_counter() # ...
Read MoreHow to compare Python DateTime with Javascript DateTime?
Both Python and JavaScript have unique ways of representing date and time data. To compare Python datetime objects with JavaScript Date objects, we must ensure that both are converted to a common format, such as ISO 8601 strings or Unix timestamps (milliseconds since epoch). The following are two major differences between Python datetime and JavaScript Date objects: Month Representation: JavaScript uses a 0-indexed month (0 for January, 11 for December), while Python uses a 1-indexed month (1 for January, 12 for December). Default Time Zone: Python defaults to UTC, ...
Read MoreWhere can I find good reference document on python exceptions?
Finding reliable documentation on Python exceptions is crucial for effective error handling. The following resources provide comprehensive information on Python exceptions. Official Python Documentation The Python official documentation is the most authoritative source for exception reference − Python 3.x (Latest): https://docs.python.org/3/library/exceptions.html Python 2.x (Legacy): https://docs.python.org/2/library/exceptions.html Note: Python 2 reached end-of-life in January 2020. It's recommended to use Python 3 documentation for current projects. What You'll Find in the Documentation The official documentation covers − Built-in exceptions − Complete list of all standard exception classes ...
Read MoreHow do you properly ignore Exceptions in Python?
Ignoring exceptions in Python can be done using try-except blocks with a pass statement. Here are the proper approaches − Method 1: Using Bare except This approach catches all exceptions, including system-level exceptions − try: x, y = 7, 0 z = x / y print(f"Result: {z}") except: pass print("Program continues...") The output of the above code is − Program continues... Method 2: Using except Exception This is ...
Read MoreWhy Python functions are hashable?
An object in Python is hashable if it has a hash value that remains the same during its lifetime. It must have a __hash__() method and be comparable to other objects via __eq__(). If two hashable objects are equal when compared, they have the same hash value. Being hashable makes an object usable as a dictionary key and a set member, since these data structures use hash values internally. All immutable built-in objects in Python are hashable. Mutable containers like lists and dictionaries are not hashable, while immutable containers like tuples are. Objects that are instances of user-defined classes are ...
Read MoreHow to call Python module from command line?
To call a Python module from the command line, you can use the python command followed by flags like -m or -c, or run the script file directly. This article covers the most common approaches with practical examples. Running a Module with python -m The -m flag tells Python to run a module by its module name (without the .py extension). Python searches sys.path for the module and executes its __main__ block − ~$ python -m module_name For example, to run the built-in json.tool module for formatting JSON − ~$ echo '{"name":"Alice"}' | python -m json.tool { ...
Read MoreHow to run Python functions from command line?
To run Python functions from the command line, you save the function in a .py file and then invoke it using the Python interpreter. There are several approaches − using sys.argv, the -c flag, or the argparse module. Using sys.argv with __name__ Guard The most common approach is to use sys.argv to read command-line arguments and the if __name__ == "__main__" guard to call your function when the script is executed directly. The first item in sys.argv is the script name, and subsequent items are the arguments passed. Note that all command-line arguments are received as strings, so you must ...
Read MoreAre Python functions objects?
Yes, Python functions are full objects. Python creates function objects when you use a def statement or a lambda expression. Like any other object, functions can be assigned to variables, passed as arguments, returned from other functions, and even have custom attributes. Functions Have a Type and Support Attributes Since functions are objects, they have a type (function) and you can assign custom attributes to them ? Example def foo(): pass foo.score = 20 print(type(foo)) print(foo.score) print(type(lambda x: x)) The output of the above code is ? 20 ...
Read MoreHow can we define a Python function at runtime?
We can define a python function and execute it at runtime by importing the types module and using its function types.FunctionType() as follows This code works at the python prompt as shown. First we import the types module. Then we run the command dynf=…; then we call the function dynf() to get the output as shown import types dynf = types.FunctionType(compile('print("Really Works")', 'dyn.py', 'exec'), {}) dynf() Output Really Works Defining a Python function at runtime can be useful in a variety of situations, such as when you need to ...
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