Python3 - Keywords In Python3 | abc of python |Absolute Beginner #13
Welcome to python Tutorial. In this video, we will learn about keywords in python3. This is an introduction to keywords.
Python 3 Playlist - • Python 3 Full Course
As promised in the video Keyword Description:
and A logical operator
as To create an alias
assert For debugging
break To break out of a loop
class To define a class
continue To continue to the next iteration of a loop
def To define a function
del To delete an object
elif Used in conditional statements, same as else if
else Used in conditional statements
except Used with exceptions, what to do when an exception occurs
False Boolean value, result of comparison operations
finally Used with exceptions, a block of code that will be executed no matter if there is an exception or not
for To create a for loop
from To import specific parts of a module
global To declare a global variable
if To make a conditional statement
import To import a module
in To check if a value is present in a list, tuple, etc.
is To test if two variables are equal
lambda To create an anonymous function
None Represents a null value
nonlocal To declare a non-local variable
not A logical operator
or A logical operator
pass A null statement, a statement that will do nothing
raise To raise an exception
return To exit a function and return a value
True Boolean value, result of comparison operations
try To make a try...except statement
while To create a while loop
with Used to simplify exception handling
yield To end a function, returns a generator
What is Python?
Python is an interpreted, object-oriented, and high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with the dynamic typing and the dynamic binding which make it very attractive for Rapid Application Development, also to be used as a scripting or glue language to connect existing components together. Python's very simple, easy to find out syntax emphasizes readability and thus reduces the value of program time of maintenance. Python supports modules and packages, which inspires program modularity and code reuse. The Python interpreter and therefore the extensive standard library are available in source or binary is absolutely free of charge for all major platforms and may be freely distributed.
Python in Real-World Scenarios
Data Science.
Machine Learning.
Web Development.
Computer Science Education.
Computer Vision and Image Processing.
Game Development.
Medicine and Pharmacology.
Biology and Bioinformatics.
Neuroscience and Psychology.
Astronomy.
Other areas like robotics, autonomous vehicles, business, meteorology, and graphical interface (GUI) development.
Reasons Why you want to Consider Writing Software Applications in Python
1) Readable and Maintainable Code very easy
2) Multiple Programming Paradigms for easy adaptation
3) Compatible with Major Platforms and Systems, almost every platform
4) Robust Standard Library. You will love it.
5) Many Open Source Frameworks and Tools for rapid development.
6) Simplify Complex Software Development much even a new developer create a complex application
7) Adopt Test Driven Development fast coding
8) Very strong and big community. Your problem is already solved by the python community.
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