The Basic Syntax of Python

# Python program to display "Hello SCHOLAR-HAT"
print("Hello SCHOLAR-HAT")

print ("Hello, World!")
$ python test.py

Identifiers in Python are used to identify variables, objects, classes, functions, and other identifiers. They are significant in writing effective code in the Python programming language as they make complex programming tasks simpler. All identifiers have a specific set of rules that need to be followed while creating identifiers: they should begin with either an alphabet (a-z) or an underscore (_), and after that can contain any combination of alphanumeric characters (a-z, 0-9). Moreover, identifiers are case-sensitive so it’s important to note that 'x' and 'X' would be considered two different identifiers. Knowing how to use identifiers effectively is an important mastery for successful python programming.

Here are naming conventions for identifiers in python:

Python programming language has some reserved keywords so that the developer can use them to identify any constant or variables or other identifier's name. Those keywords are,

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

Python Lines and Indentation

Python programming language does not provide any braces to indicate the code blocks for function definitions or class or flow control. The codes are denoted by line identification. The use of indentation in Python is crucial. It plays an important role in making Python code easier to read, follow and use - while incorrectly formatted code can be difficult to decipher and use. Indentation provides visual structure to your code and has a big impact on the readability of the code. Indentation also helps with debugging, as misaligned statements can easily help you identify the errors. In Python, indentation is used to show a group of related statements, so proper use of indentation increases the productivity of developers too. Without it, understanding even simple programs in Python would be almost impossible.

Example

import sys
try:
   # open file stream
   file = open(file_name, "w")
except IOError:
   print "There was an error writing to", file_name
   sys.exit()
print "Enter '", file_finish,
print "' When finished"
while file_text != file_finish:
   file_text = raw_input("Enter text: ")
   if file_text == file_finish:
      # close the file
      file.close
      break
   file.write(file_text)
   file.write("\n")
file.close()
file_name = raw_input("Enter filename: ")
if len(file_name) == 0:
   print "Next time please enter something"
   sys.exit()
try:
   file = open(file_name, "r")
except IOError:
   print "There was an error reading file"
   sys.exit()
file_text = file.read()
file.close()
print file_text

Quotations in Python

Quotations are a great way to express thoughts and opinions, and python makes it easy to use them in code. Double quotes in python provide two different types of quoting: raw strings and regular string literals. Raw strings are best for specifying fixed patterns when a backslash is used as an escape character, whereas regular string literals must be enclosed in double quotes when the backslash needs to be used as an escape character. When dealing with python quotes, it's important to remember to use the same type of quote when starting and ending your strings; otherwise, syntax errors may occur. With the right know-how, python quotations can help make your code more concise and readable.

Summary

Python is a powerful programming language that is widely used in many industries today. By understanding the basic syntax of this popular language, you can be well on your way to becoming a master programmer. The syntax is the basic foundation for everything you'll write in Python. Just as English has a set of grammar rules that govern how we put words together, so too does Python. In this article, we learned about the different components of syntax and how to use them to construct correct Python code. We also saw how small syntactical errors can lead to big problems when writing code. Now that you have a firm understanding of the basics of syntax, you're ready to start writing your own Python programs. Happy coding!