Python

String slicing is a way of accessing a substring from the provided larger string by slicing it. It enables users to extract the desired parts of a string.

To loop through List in Python, different approaches like for Loop, while loop, List Comprehension, enumerate, map() function, etc., can be used.

To update/upgrade the pip inside the virtual environment, use commands “pip install –upgrade pip” for Unix and “py -m pip install –upgrade pip” for Windows.

To fix the “‘pip’ is not recognized as an internal or external command”, make sure that the Python has been installed and is added in the Path variable.

To remove an element by index in Python, use the pop() method, del keyword, enumerate with for loop, enumerate with list comprehension, or remove() method.

The file name is extracted from the path by using os.path.basename(), split(), pathlib.path() function, and the search() method of the regular expressions.

Various methods in Python like decode(), str(), codec module, and functions from the bytes class and Pandas library can convert the byte data to a string.

The Python sleep milliseconds is implemented by two different functions, the sleep() function and the Timer() function of the threading module

In Python, random strings with uppercase letters and digits can be generated by using the “random.choice()”, “random.choices()”, and “random.sample()” functions.

In Python programming, Using pd.to_datetime() and DataFrame.astype() can convert the DataFrame column type from string to DateTime format.

To get the list of all locally installed Python modules, users can implement “cmd” commands via “pip” or fetch list by executing “help(‘module’)” command on IDE.

To terminate a script in Python, raise KeyboardInterruption manually by hitting “CTRL+C”, or by raising “KeyboardInterruption”, or using “sys” and “os” modules.

The “while True” in Python is a loop that iterates infinite iterations with no breakpoint or interrupts until and unless an interrupt like “break” is called.

Various methods in Python like any(), count(), find(), bisect module, or in the statement can be used to search an element in a list.

A DataFrame can be transposed with the T attribute or the transpose function. To transpose it without an index, pass “copy=false” to the transpose function.

In Python, the in-built functions like type() and isinstance() are used to get information about the object’s data type.

A Python destructor is a special method called automatically when an object is about to be destroyed or deleted using the del keyword.

A Python program returns Exit Code 0 if it has successfully executed and completed without errors. This enabled the program to run smoothly.

To read, print and set environment variables, the “os.environ.get()” method, os.environ dictionary, for loop is used in Python.

The “gethostbyname()” function, “requests module”, “socket.getaddrinfo()”, and “socket.getsockname()” functions are used to get IP addresses in Python.

A private method in Python can only be accessed within the class in which it is defined. Private methods are denoted by double underscores (__).

The “for loop” method, dict.items(), dict.keys(), list comprehension, json.dumps(), itemgetter module, and pprint.pprint() function is used in Python.

The “set_index()” method, “reset_index()” method, “reindex()” method, and “sort_index()” method is used to set indexes in Pandas DataFrame.

To decode UTF-8, the “decode()” method, the “open()” function and the “codecs.open()” function of the codecs module are used in Python.

The “in” operator, “get() method, “keys()” method, and “exception handling” is used to check if the specified key exists in a Python dictionary.

The “Typeerror a bytes-like object is required not str” occurs due to incorrectly encoding binary data, comparing binary object wIth string object, etc.

The Python numbers, such as integers, floats, complex numbers, etc., are subtracted from each other using the Python subtraction operator ”-.”

To generate the UUID (Universal Unique Identifiers), the “uuid1()”, “uuid4()”, “uuid3()” and “uuid5()” functions of the UUID module are used in Python.

To import modules from another folder, the “sys.path.append()”, “sys.path.insert()”, “relative path to the module,” and “importlib” module is used in Python.

To convert hex string to bytes, the “bytes.fromhex()” function, “codecs.decode()” function, and “binascii” module are used in Python.

To load JSON string into Pandas DataFrame, the “pd.read_json()” function, “pd.DataFrame.from_dict()” function, and “json_normalize()” function is used in Python.

In pandas, the “astype()” function is used to cast single, multiple, or all columns of given data to a specified data type.

To return a Python list to the function, the return statement, list comprehension, and lambda function are used in Python.

To convert the Pandas DataFrame specific row and columns to a series, the “df.squeeze()” function and the “df.iloc()” function is used in Python.

To check file size, the “os.path.getsize()” function, “os.stat()” function, “pathlib.Path.stat()” function, and “file.tell()” method is used in Python.

The “df.to_json()” function of the Pandas module and the CSV module, along with the JSON module, is used to convert the CSV to JSON string in Python.

To find where Python is installed on windows, various methods such as CMD terminal, sys library, startup menu search, and system properties are used in Python.

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 convert the Pandas series to a DataFrame the “pd.DataFrame()” function and “series.to_frame()” function is 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 check the version of the package with pip, the “pip show ”, “pip list”, and “pip freeze” commands are 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 check your TensorFlow version in Colab, import the TensorFlow library and print the installed version using the “__version__” attributes.

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 “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 “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.

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

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

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 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 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.

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

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.

To create the range of float numbers, the “np.arange()” function, “np.linspace()” function, list comprehension method, and Yield keyword are used in Python.

The Python “range()” function is used to generate the sequence of numbers from the specified starting value to stopping positions with a step size.

To sort the pandas DataFrame by index in ascending or descending order, the “df.sort_index()” function is used in Python.

To convert the NumPy array to pandas DataFrame, the “pandas.DataFrame()” function and “pd.DataFrame.from_records()” function is used in Python.

In Python, first, the “cv2.imread()” function reads an image. After that, the “cv2.imshow()” function shows the image that is read by the “cv2.imread()”.

To convert a Dictionary to Pandas DataFrame, the “pd.DataFrame.from_dict()”, “pd.DataFrame()”, and “dict.items()” with “pd.DataFrame()” functions are used.

To completely uninstall Python from windows, you can use the “del” keyword from the “CMD” terminal or the “Add or Remove” setting from the control panel.