What is Python Programming?
Python has gained immense popularity worldwide since its introduction in 1991. Companies rely on Python for programming and building their software and applications. It has empowered the recommendation algorithm of Netflix and the software controlling self-driven cars.
It offers a range of applications that ease our daily lives, such as web development, data science, automation, etc. No wonder Python is considered one of the most versatile languages and has won several awards for its performance, including the TIOBE Programming Language of the Year award in 2021. According to many reports and surveys, it is also ranked as the top programming language. Around 8.2 million developers out of 25 million use Python to build apps and software.
Python’s demand has increased by leaps and bounds and is still growing. The best thing about Python is that it is easy to learn and offers lucrative career opportunities. In the last 5 years, the demand for Python developers has increased by 41%. It has become one of the most sought-after skills for data scientists, developers, and programmers across industries.
With so much popularity and growth, it’s important that beginners understand the fundamentals of Python if they want to pursue a career in this field. Hence, this blog will discuss the basics of Python language, including its definition, history, and features.
What is Python Programming?
Python is an object-oriented high-level programming language used to build a range of websites and software across various industries, including data analysis, machine learning, web development, artificial intelligence, etc. It was developed by Guido van Rossum in 1991, who wanted to address flaws of other programming languages by designing Python.
Python is a general-purpose language that is not specialized for one problem but can be used to create various programs. This versatility has made it the top and most sought-after programming language worldwide. Python is based on data that is easy to understand and read, making it beginner-friendly. In 2020, over one-third of IT aspirants and professionals agreed they would prefer learning Python over other languages. Hence helping Python make it to the top of the most desired programming languages around the world.
Initially, Python was used primarily to automate repetitive and monotonous tasks, but soon, it became a general-purpose language. This grabbed the attention of many companies and developers, who realized that Python was different from other languages, including Ruby, HTML, CSS, and PHP. Instead of treating it like other languages, they started relying on Python to solve various issues across domains.
Python is easy to use, offers an extensive standard library, and has dynamic semantics. Its large community of developers and professionals constantly works to improve it and add new features. They intend to create a language that is easy to learn for everyone and reduces lines of code.
In any programming language, syntax is a standard way of expressing statements or values followed by programmers.
Keywords in Python: All Lists With Examples
Keywords in Python are predefined and reserved words with special meanings. They are a part of Python syntax. Python keywords can’t be used as a variable, function, or identifier name.
You must understand the rules of using keywords to write correct Python code. So, here are the basic rules and guidelines for Python keywords:
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Keywords in Python are case-sensitive.
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All the keywords must be in lowercase except True and False.
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They may vary with Python versions.
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Keywords have specific meanings and predefined uses, which can’t be altered.
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They are a part of Python syntax and can’t be changed.
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They must be according to the syntax rules in Python.
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Keywords can’t be used as identifiers.
List of Python Keywords
We use a range of keywords for Python programming. Here is a complete list of those keywords:
|
True |
False |
None |
and |
or |
|
not |
is |
in |
if |
else |
|
elif |
del |
for |
while |
break |
|
continue |
import |
from |
def |
as |
|
with |
class |
pass |
lambda |
try |
|
raise |
except |
finally |
assert |
return |
|
yield |
async |
await |
global |
nonlocal |
If we want to see all the keywords in Python for our current version, we can use the keyword module. It gives us the full list of reserved words Python uses.