Adventures in Machine Learning

Python Literals and Naming Conventions: A Beginner’s Guide

Python is a powerful programming language used by developers worldwide for diverse projects. However, sometimes, a syntax error may occur while coding.

In this article, we will explore two common issues that users encounter while naming variables and functions in python. Issue 1 – SyntaxError: invalid decimal literal in Python:

The first issue that Python users encounter is the error message SyntaxError: invalid decimal literal.

This error occurs because an integer or float value used in the code has an incorrect format. For instance, if you write a variable and it starts with a number, such as 1variable, a syntax error will occur.

Solution 1 – Moving digits to the end of variable name:

The simple solution is to move the numbers to the end of the variable name. Instead of 1variable, we can change the name to variable1.

This is because variable names in Python cannot start with a digit. Python allows variable names only to begin with alphabetic or underscore characters.

The name can then be followed by alphabetic, numeric, or underscore characters. Solution 2 – Using a different variable name:

Another solution to the issue is by using a different variable name.

It is advisable to give variables names that are specific and descriptive of their purpose. For example, instead of using x as a variable name, you can use a name such as age.

This way, it is easy to understand the code, even without any comments. Issue 2 – Python variable and function names:

The second issue that Python users encounter is the confusion about naming variables and functions.

In Python, variable and function names are case-sensitive. Therefore, age and Age represent different variables.

It is important to use names that are specific and descriptive as well as following proper naming conventions. Naming conventions for variables and functions:

When naming variables and functions in Python, we need to adhere to specific conventions.

The naming convention used in Python is called snake_case. Snake case involves writing all letters in lowercase and separating words with underscores.

This means that instead of using camelCase or PascalCase, we use snake_case. An example of a function using the snake_case naming convention is shown below:

def my_function():

print(“Hello world!”)

Limitations on variable and function names:

There are several restrictions on the naming of variables and functions in Python.

First, we cannot use a keyword as a variable or function name. Keywords are reserved words in Python that represent specific actions.

Examples of keywords include if, else, and while. Additionally, we are not allowed to use special characters and spaces in the names of variables and functions.

Additionally, the Python programming language is case-sensitive, so Age and age are considered different variable names. It is recommended to use lowercase letters in the names of variables and functions to avoid such errors.

In conclusion, there are several important considerations when naming variables and functions in Python. The first is to avoid starting variable names with digits as this leads to a syntax error.

The second is to follow Pythons naming conventions, which dictate the use of snake_case to separate words in function and variable names. Python also has limitations on variable and function naming.

By adhering to these practices, we can write clean, readable code that is easy to maintain and understand. 3) Literals in Python:

As aspiring Python developers, we must understand the concept of literals before writing any code.

In simple terms, we can think of literals as fixed values that cannot be changed during runtime. Every programming language has a set of literals that denote specific values.

In Python, we have a set of literal values such as strings, integers, floating-point numbers, and Boolean values. Explanation of literals:

To understand literals, let us consider some examples.

When we write the number 5 in Python, it is an integer literal. Similarly, 3.14 represents a floating-point literal and True or False represent Boolean literals.

Furthermore, a string is a sequence of characters enclosed in quotes such as ‘Hello world!’. Limitations on literals:

While literals offer a convenient way to represent values, there are some limitations to their usage that we need to keep in mind.

For example, if we write a number that starts with 0, Python will assume it is an octal number rather than a decimal number. This can cause unexpected results, so we must avoid it.

Similarly, if we write a large number such as 1000000000000 without using any operator, Python will read the number as a series of 1s, leading to an invalid syntax error. Another limitation that we need to bear in mind is that while characters can be combined to form a string, numbers cannot be concatenated.

Therefore, if we want to concatenate a number with a string, we will have to convert it to a string first. Solution: Wrapping value in quotes to create a string

To concatenate a number with a string, we wrap the value in quotes, converting it to a string.

For example, if we want to print the message “I am 5 years old” using Python, we can concatenate the string “I am ” with the number 5 as shown below:

age = 5

print(“I am ” + str(age) + ” years old”)

In this example, we first convert the age variable to a string using str(). We then concatenate the two strings and print out the message.

4) Additional Resources:

Python is a vast programming language with endless possibilities. While we have explored some significant topics in this article, there are still several other areas we can consider as we continue to learn Python.

Fortunately, there are many additional resources available to help us expand our Python knowledge. One great resource is the official Python documentation website, which provides comprehensive documentation on the language’s syntax and features.

The website also has a wealth of code examples and tutorials for developers of all skill levels. Another excellent resource can be found on the various Python tutorial websites located around the internet.

These websites offer in-depth courses on Python programming, ranging from beginner to advanced levels. They are excellent for self-study and help us to grasp concepts more quickly.

Furthermore, coding communities such as Stack Overflow, GitHub, and Reddit offer many programming discussions, helpful tips, and solutions to commonly encountered programming problems. In conclusion, understanding literals is essential in Python programming, as they are the building blocks used to construct all types of values.

While there are limitations to literals, they are still an integral part of the Python language. Furthermore, continuing our education through additional resources such as tutorials and coding communities can help to expand our knowledge and make us better Python developers.

In this article, we explored some fundamental concepts in Python programming, such as naming variables and functions, understanding literals, and the limitations they pose. It is crucial to avoid syntax errors by naming variables correctly and following naming conventions.

We also learned about the various literal values in Python. While literals offer a convenient way to represent values, there are several limitations to their use that we need to consider.

Finally, we discussed some additional resources such as tutorials, websites, and coding communities that we can leverage to continue expanding our Python knowledge. Overall, by adhering to these practices, we can write clean, readable, and maintainable code that can bring value to our projects.

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