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To calculate the time difference in seconds, milliseconds, hours, and minutes the “datetime” module and “time” module are used in Python.

This error occurs if the quotation marks are not used properly. To fix it, use the appropriate ways to use quotation marks as described in this guide.

Python regex capturing groups enable you to capture specific parts of a string based on a specified pattern such as using (\b\d+) pattern for capturing digits.

This value error occurs due to various reasons such as creating an array with different dimensions, replacing a single array element with an array, etc.

To compile a regular expression pattern into a regex pattern object the “re.compile()” function of the re module is used in Python.

The “range() function with a negative step”, “reversed()” function, and “sorted()” function can be used to reverse a range in Python.

To convert the Pandas series to a DataFrame the “pd.DataFrame()” function and “series.to_frame()” function is used in Python.

To convert strings to datetime in Pandas DataFrame, the “pandas.to_datetime()” function, and the “DataFrame.astype()” function is used in Python.

To get the day of the week the strftime() method, weekday() method, Pandas Timestamp method, “calendar” module, and isoweekday() method are used in Python.

In Python, “array indexing” is used to access the specific elements/items in an array or list using their positive and negative indexing.

The Python “loc()” and “iloc()” functions are used to select rows from Pandas DataFrame based on the specific condition, index value, and list of values.

To round a number down the “math.floor()” function, “int()” function, “trunc()” function, “// operator”, and “numpy.floor()” function is used in Python.

The map(), for loop, list comprehension, eval(), round(), and ast.literal_eval() functions are used to convert a string list to an integer list in Python.

To create a directory at the existing location or at the specified path with permission, the “os.mkdir()” and the “os.makedirs()” methods are used in Python.

To add a newline character, the “\n” escape character, the “multiline strings”, and the “os.linesep” attribute of the os module are used in Python.

To extract dictionary values as a list, the “list()” function, “list comprehension”, “for loop”, “* operator”, and “map() function” is used in Python.

To choose multiple items from any sequence, such as a list, set, dictionary, etc, the “random.sample()” function is used in Python.

The isdigit(), isinstance(), float() with isinstance(), and isnumeric() functions are used in Python to check whether the user input is a number or string.

To append values to the dictionary the square bracket, dict(), dict.update(), for loop, unpacking operator, append(), and extend() functions are used in Python.

To create an empty list, the list() function and square brackets [ ] are used in Python. The nested empty list is created using the list comprehension method.

To check the version of the package with pip, the “pip show ”, “pip list”, and “pip freeze” commands are used in Python.

In Python, the “str.__contains__()” method is used to check the presence or existence of a specific string in the given string.

To get a list of all column names in Pandas DataFrame the “list()”, “df.columns.values.tolist()”, and “df.keys()” functions are used in Python.

To trim a string, the strip(), lstrip(), and rstrip() functions are used in Python. The built-in functions of the Numpy module are used to trim a string array.

To convert a tuple to a list, the list() function, list comprehension, for loop with append() function, * operator, and enumerate() function is used in Python.

To move files or directories, the “shutil.move()” function, “os.rename()” method, and “pathlib.path()” function is used in Python.

To install PIL/Pillow, the “pip” package manager is used in Windows, Linux, and MacOS. The “pip install pillow” command is used to install the module.

To convert the single index to a column or multi-index to multiple columns, the “df.reset_index()” function is used in Python.

To catch and print the exception messages, the “try-except” block, “raise Exception”, and “logger.exception()” method is used in Python.

To check your TensorFlow version in Colab, import the TensorFlow library and print the installed version using the “__version__” attributes.

The “dataframe.fillna()” and “dataframe.replace()” functions are used to replace the NaN values with zeros in Pandas DataFrame.

To uninstall a package in Python using the “pip” package manager, you need to execute the “pip uninstall ” command from the CMD terminal.

To check or compare the strings’ equality, the “is” operator, “==” operator, “‘!=” operator, and “ __eq__()” function is used in Python.

The class variable is defined inside the class but outside the method of the class, such as the “__init__()” constructor and “instance method”.

The random.shuffle() function is used to shuffle the list. It can be used to shuffle a copy of the original list or shuffle multiple lists simultaneously.

The Python “iloc()” function is used to get a specific single or multiple data values from the dataset using the index position.

To increment a number, the “+” operator, the “+=” operator, operator.add() function and lambda function are used in Python.

The class method is bound to the class and not the instance of the class. The classmethod() and @classmethod decorators define the class method.

The Python nested list or list of lists is created using the square bracket notation and can be accessed using the index position.

To get the current date and time in Python, different functions of the datetime and time modules are used, such as date.today(), datetime.now(), etc.

The Python one-line “if”, “if-else” and “if-elif-else” statements are created using the ternary operator or conditional expression.

The “for-in” expression, “list comprehension” and “map()” function is used to perform the “foreach” loop on every element of the given iterator in Python.

The “df.replace()” function is used to replace single or multiple values with single or multiple new values in pandas DataFrame in Python.

The “open()” function is used with the “w” mode to create a file with writing permissions or use the open() function with “x” mode to create an empty file.

The “json.load()” and “json.loads()” functions are used to parse JSON data in Python objects such as dictionaries, lists, etc.

The “strftime()” function is used to represent the DateTime in string format based on the specific standard directives/character codes.

To open a file in Python, the “open()” function is used. A file can be opened in various modes such as read mode, write mode, append mode, etc.

The “df.corr()”, “sn.heatmap()”, and “plt.show()” functions are used to create, represent, and plot correlation matrix in Python.

To find the array length the “len() function”, “array.size” attribute, “for loop”, “array.shape” attribute, and “length_hint()” functions are used in Python.

To convert a list or list of lists to a Numpy array the “numpy.array()” function and the “numpy.asarray()” function is used in Python.

To convert the JSON string to CSV the “pd.read_json()” and “df.to_csv()” functions of the Pandas module are used in Python.

To add elements to an array the “insert()” function, “+ operator”, “append()” function, and “extend()” function is used in Python.

The “random.choice()” and “random.choices()” functions are used in Python to select random items from single or multiple lists or sets.

To reverse an array in Python, the “reverse()” method, “reversed()” method, “flip()” method, and “Slicing” method are used.

To remove a character from the string the “replace()” function, “join()” function, “for” loop, “translate()” and string slicing methods are used in Python.

To print the simple array or numpy array the “print()” method and “for loop” method are used in Python. The “numpy.array()” function creates the numpy array.

To calculate the execution time of the Python program, use the “time” module, “timeit” module, “datetime” module, and “time.process_time_ns()” function.

To find the max int, the “sys.maxsize()” and “np.iinfor()” functions are used in Python. The “~sys.maxsize” is used to find the minimum integer.

To iterate through the list, the for loop, list comprehension, Loop with range() function, While loop, enumerate(), and lambda functions are used in Python.

To resolve ConnectionError in Python, various fixes are used such as checking the URL, using a retry object, try-except, and maintaining a stable connection.

To get timestamps in Python, the “datetime”, “calendar”, and “time” modules are used. The “datetime” module can be used to convert timestamps into DateTime.

To display the images in Python, the “Pillow” module, the “OpenCV” module, the “Scikit-Image” module, the “Matplotlib” module, and the “Tensorflow” are used.

To create the list of tuples in Python, the “square bracket[]”, “map()” function, “zip()” function, and the List Comprehension method are used.

To concatenate two lists the “+ Operator”, “extend()” function, “itertools.chain()” function, “the ‘*operator” and list comprehension is used in Python.

To generate random strings and passwords using upper and lower case letters, digits, symbols, etc. the random and string modules are used in Python.

The “randrange()” and “randint()” functions are used to generate the random integers within the specified range in Python.

The “random.random()” function and “random.uniform()” function is used in Python to generate the random float number within the specified range.

To write the list to a file, the “write()” function, “writelines()” function, “JSON”, and “Pickle” modules are used in Python.

In Python, the square brackets[], np.empty() function, and list comprehension method are used to initialize or create an array.

To check if a file exists at the given path the “os.path.exists()” function, “os.path.isfile()” function, and “pathlibPath.exists()” function is used in Python.