Are you bored of going through tedious Python Coding tutorials? maybe you are. Therefore, you must-have go through these top 10 Python coding tips. These are the result of thorough qualitative filtering and research.
This quality tips and tricks not only guide those people who need for interviews but also resolve python project issues.
For your info, we’ve thoroughly verified each of these programming tips before adding them to this post. All of these below tips work on all versions of Python software.
Essential Python Coding Tips for Beginners and Experienced
1. Running Python scripts from Command Prompt
On Windows system, Linux and most of the UNIX systems, you can execute Python test scripts from the command line in the below way.
# run python script $ python FirstPythonScript.py
2. Running Python programs from Python Interpreter
The Python interpreter is very easy and simple to use. You can try first steps in programming and use any Python command on this.
You can execute the commands one by one at the Python console log and you’ll get the answer is immediately.
Python console can get started by entering the below command:
# start python console $ python >>>
Note: All the code lines starting with ‘>>>’ symbol is designed to be given at the Python command prompt. It is also crucial to remember that Python programming takes ‘tabs‘ seriously. So if you are getting any error that mentions tabs, replace the tab spacing with white spaces.
3. Dynamic Typing
In C, C++, Java and other programming languages, you have to mention the data type of the variables and function return value. On the other hand, Python programming language is a dynamically typed language. In Python, you no need to explicitly provide the data types for variables or functions etc. Based on the value you’ve assigned to variable, Python keeps track of the datatype internally.
‘Dynamic Typing – Names are bound to objects at run time with the help of assignment statements. In Python, It’s possible to hook up a name to the objects of different types during the execution of the program.’
Below example explains how a function can examine its arguments. And do different things depending on their data types.
# Test for dynamic typing.
from types import *
def VerifyIt (x):
if type(x) == IntType:
print("You have entered an integer.")
else:
print("Unable to recognize the input data type.")
# Perform dynamic typing test
VerifyIt(111)
# Output:
You have entered an integer.
VerifyIt("111")
# Output:
Unable to recognize the input data type.
4. '==' and '=' Operators
Python programming uses ‘=’ for assignment and ‘==’ for comparison. And python coding doesn’t support inline assignment, because everything is an object and objects should be callable. So there’s no way of unintentionally assigning the value when you want to compare it.
5. Concatenating Strings
In Python, Use ‘+’ operator to concatenate strings in the following way.
# See how to use '+' to concatenate strings.
>>> print('Python' + ' Coding' + ' Tips')
# Output:
Python Coding Tips
6. 'SET' Data Type
In Python, the data type ‘set’ is a sort of collection. Since version 2.4 this has been part of Python.
A set data contains an UN-ordered collection of immutable and unique objects. Set is one of the Python data types which is an implementation of the
This clarifies why the sets unlike tuples or lists can’t have multiple occurrences of the same element.
Use the built-in set() function with a sequence to create a set.
# *** Create a set with strings and perform search in set
objects = {"python", "coding", "tips", "for", "beginners"}
# Print set
print(objects)
print(len(objects))
# Use of "in" keyword
if "tips" in objects:
print("These are the best Python coding tips.")
# Use of "not in" keyword
if "Java tips" not in objects:
print("The best Python coding tips not Java tips.")
# ** Output
{'python', 'coding', 'tips', 'for', 'beginners'}
5
These are the best Python coding tips.
The best Python coding tips not Java tips.
# *** Lets initialize an empty set
items = set()
# Add three strings.
items.add("Python")
items.add("coding")
items.add("tips")
print(items)
# ** Output
{'Python', 'coding', 'tips'}
7. Using Enumerate() Function
In Python, the enumerate() function enumerate a counter to an iterable object.
An iterable is an object that has ‘__iter__‘ method which returns an iterator. This can get subsequent indexes starting from Zero(0) and increases to an IndexError (when the indexes are not valid).
Below example of the enumerate() function is to loop up a list and carry track of the index by using a count variable.
# First prepare a list of strings
subjects = ('Python', 'Coding', 'Tips')
for i, subject in enumerate(subjects):
print(i, subject)
# Output:
0 Python
1 Coding
2 Tips
8. __init__ Method
In Python, __init__ method is called soon after the object of a class is instantiated. This method is useful to do any initialization. The __init__ method is same as a constructor in C#, C++ or Java.
# Implementing a Python class as InitEmployee.py
class Employee(object):
def __init__(self, role, salary):
self.role = role
self.salary = salary
def is_contract_emp(self):
return self.salary 1250
emp = Employee('Tester', 2000)
if emp.is_contract_emp():
print("I'm a contract employee.")
elif emp.is_regular_emp():
print("I'm a regular employee.")
print("Happy reading Python coding tips!")
Run above program and it will give below Output.
[~/src/python $:] python InitEmployee.py I'm a regular employee. Happy reading Python coding tips!
9. Modules
To keep your python programs tractable as they improve, you may want to break them up into different scripts. However, Python allows you to write many function definitions into a file and use them as a Module. Later you can import these modules into other programs. These scripts must have a .py extension.
# 1- Module definition => save file as my_function.py
def minmax(a,b):
if a
# 2- Module Usage import my_function x,y = my_function.minmax(25, 6.3) print(x) print(y)
10. Conditional Expressions
Python programming allows you for conditional expressions. Here is an perceptive way of writing conditional statements in Python scripts.
# make number always be odd
number = count if count % 2 else count - 1
# Call a function if the object is not None.
data = data.load() if data is not None else 'Dummy'
print("Data collected is ", data)
Thank you and we wish all of you would’ve enjoyed these python coding tips.
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