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Python Syntax - Write your Python First Program with Ease

Python syntax defines a set of rules that are used to create a Python Program. Python syntax also comprises a set of rules and elements that collectively make up the Python Syntax. In this article, we will explore what are different components in syntax.

Table of contents:

Python Line Structure

Python code is composed of both physical and logical lines.

Example

Variable = 6

NOTE:  A logical line that only contains spaces, comments, or tabs are called blank lines and they are ignored by the interpreter.

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Python Multiline Statements

In Python, a new line represents the beginning of a new statement. However, Python allows you to break a statement over many lines or combine numerous statements into a single logical line.

1. Explicit Line Joining

A backslash (\) is used to split a statement across multiple lines.
Example:

We can also use explicit line joining to join two or more physical lines into a logical line, using backslash.

2. Implicit Line Joining

Statements inside parentheses (), brackets [], or curly braces {} can be broken into multiple lines without using a backslash.

Example:

3. Multiple Statements on a Single Line

Python allows multiple statements on a single line using a semicolon (;), but this is not recommended as it reduces code readability.

Example:

Whitespaces and Indentation

Unlike most programming languages, Python enforces indentation to define blocks of code. According to PEP 8 (Python’s official style guide), the recommended indentation size is four spaces per level.

Incorrect indentation leads to errors:


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Identifiers

Identifiers in Python are nothing but user-defined names to represent programmable entities like (Python Variables, Python Functions, Python Class, Python Modules), or any other objects. But, there are a few rules that we need to follow while defining an identifier. They are:

Reserved Words

Python has a set of reserved words (keywords) that cannot be used as identifiers. These words have predefined meanings and are case-sensitive.

False class finally is return None continue for lambda try True def from non-local while and del global not with as el if or yield assert else import pass break except in raise

Python Quotations

Python supports both single (‘) and double (“) quotes for defining strings. The type of quote used at the beginning must match the one used at the end.

Example:

Conclusion

In this guide, we explored the fundamental elements of Python syntax, including line structure, indentation, reserved words, and quotation rules. Understanding these basics will help you write clean, efficient, and error-free Python code. If you want to learn more about the same, please check out our Comprehensive Python Course.

About the Author

Kislay is a Technical Research Analyst and Full Stack Developer with expertise in crafting Mobile applications from inception to deployment. Proficient in Android development, IOS development, HTML, CSS, JavaScript, React, Angular, MySQL, and MongoDB, he’s committed to enhancing user experiences through intuitive websites and advanced mobile applications.


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