To create a single or multiple bar chart, the “plt.bar()” function is used in Python. The “plt.barh()” function is also used to create the horizontal bar chart.

To convert a list to pandas DataFrame, the “pd.DataFrame()” function is used in Python. To convert a list to DataFrame, the zip() function can also be used.

To install any package in Python using “pip”, you need to execute the “pip install package_name” command from the CMD (command prompt terminal).

To plot the histogram, the “plt.hist()” function is used in Python. It can be modified using the “plt.hist()” attributes and the “plt.style.use()” function.

Python uses the “plot()” function of the matplotlib library to plot a line chart. The multiple-line chart is also plotted using the matplotlib function.

To upgrade the pip or install the latest version of pip in windows, the “python -m pip install –upgrade pip” command is used in Python.

The “tkinter” ModuleNotFoundError can be fixed in windows by installing the “tkinter” module at the time of Python installation.

The Python traceback most recent call last provides information related to the error, such as the name of the error, type of error, etc., in a program.

In Python, the “list.index()” function is used to get the index of items from the complete list or a range of indexes in the list.

The stated error is resolved by removing the inconsistent tabs or spaces from the code and using the same indent level for the identical code block.

To add days to date, the “timedelta()” class of the “datetime” module and “pd.Dateoffset()” function of the panda’s module are used in Python.

To convert the Datetime to Epoch, the “timegm()” function, “timestamp()” function, and “total_seconds()” are used in Python.

To count the occurrences of a character in a string, the count() function, for loop, re.findall() function, lambda expression, etc., are used in Python.

To print an object’s attributes, different methods are used in Python, such as the “dir()” function, “vars()” function, and “inspect.getmembers()” function.

A “callback function” is a defined function that is passed as a parameter value to another function. It is called at a specific point in the main function.

To create the string builder equivalent, the “join()” function, the “+=” operator, string concatenation, and the IO module are used in Python.

In Python, the Modulo operator “%” divides the two numbers and retrieves the remainder as output. It is also used for string formatting.

To write pandas DataFrame to single or multiple excel sheets, the “df.to_excel()” function and the “Excel Writer” class are used in Python.

To write JSON to file, the “json.dumps()” and “json.dump()” functions are used along with the “open()” function in Python.

To sort a set, the “sorted()” and the “list.sort()” functions are used in Python. These functions sort the set elements and retrieve them as a list.

To set the single and multiple columns as Index in Pandas DataFrame, the “set_index()” function and “index” attribute are used in Python.

To replace multiple characters in a string, the “replace()”, “re.sub()” and the “translate()” along with the “maketrans()” functions are used in Python.

To overwrite a file in Python, the “open()” method, “seek() and truncate()”, “re.sub()”, “os.remove()”, “replace()”, and “fileinput()” methods are used.

To open all the files in the directory, the “os.listdir()”, “glob.glob()”, “os.walk()”, “os.scandir()”, “pathlib.path()” functions are used in Python.

To convert the “CSV” into a dictionary, the “csv.DictReader()” function, the “pd.to_dict()” function, and the “List Comprehension” method are used in Python.

To calculate the cosine similarity, the functions of the “Numpy”, “scipy”, and the “scikit-learn” module are used in Python.

To get the index of pandas DataFrame, the “df.index” attribute, “tolist()” Function, “index.values”, and “.axes” attributes are used in Python.

To show or display an image, we can use the “Image.open()” and “Image.show()” functions of the “Pillow” module in Python.

To find the inverse of the matrix, the “numpy.linalg.inv()” function, “numpy.matrix” class, and the “scipy.linalg.inv()” function is used in Python.

To convert float to string, the “str()” function, “f-string” method, “repr()”, and “format()” functions, Numpy, and List Comprehension, are used in Python.

To convert binary to integer, the “int()” function, the “bitstring” module, and the “f-string” formatting method are used in Python.

The “update()” function, “for loop”, “unpacking operator (**)”, and “ | Operator” are used in Python to add a dictionary to another dictionary.

To convert hex string to integer, the built-in “int()” function and the “ast.literal_eval()” function of the “ast” module is used in Python.