How-to articles, tricks, and solutions about PYTHON

There are several ways to search and replace text in a file, depending on the programming language you are using.

The maximum recursion depth in Python is typically 1000, although this can vary depending on the operating system and system settings.

Code like str = str(...) causes a TypeError because it attempts to re-assign the built-in str type to a new value, which is not allowed.

There are a few ways to clear the interpreter console in Python, depending on the specific environment you are using.

Here is an example of reading a JSON file in Python:

In pandas, you can add an empty column to a DataFrame using the assign() method or the insert() method.

Here's a code snippet for making an HTTP GET request using the requests library in Python:

To normalize a NumPy array to a unit vector, you can use the numpy.linalg.norm function to calculate the magnitude of the vector, and then divide the array by this magnitude.

To set the name of the index column in a pandas DataFrame, you can use the .rename_axis() method or the .index.name attribute.

You can use the sys module in Python to access the sys.path variable, which contains a list of directories that Python looks in for modules to import.

Here is an example of code that removes all special characters, punctuation, and spaces from a string in Python:

You can convert a list to a tuple in Python by using the built-in tuple() function.

Here is an example of how to use pip to install a specific version of a package, rather than using a cached version:

Here is a code snippet that uses the socket module from Python's standard library to find the local IP addresses of the host machine:

In Python, you can use the string module's ascii_lowercase and ascii_uppercase constants to get the range of lowercase and uppercase letters in the ASCII character set respectively.

In Python, you can extract a column from a multi-dimensional array (e.g.

Here is an example code snippet that demonstrates how to use the groupby() method in pandas to group a DataFrame by two columns and get the counts for each group:

The ValueError: operands could not be broadcast together with shapes error occurs in NumPy when the shapes of the arrays being operated on are incompatible.

Here is an example of how to print a list of lists (a 2D list) as tabular data using Python:

You can use the urllib.parse.urlencode() function to urlencode a querystring in Python.

Here is a code snippet that shows how to make the tick labels font size smaller in Matplotlib:

Here is an example of a command that could cause the error you described:

Here is an example code snippet that demonstrates how to convert the output of a Pandas GroupBy operation from a Series to a DataFrame:

To read a file in Unicode (UTF-8) encoding in Python, you can use the built-in open() function, specifying the encoding as "utf-8".

You can set the current working directory in Python using the os module, specifically the chdir() function.