5 Easy Python Tips for Beginners

Are you trying to learn python? Have you read online complicated tutorials for the programming language python? Then, you must be highly confused after reading all the complicated online tutorials and video lessons available for python online. And, if you are planning to stop learning python because of the complexed study material, then don’t. In this post, we have narrow down the top python tips for you. These python tips will make your life super easy and convert the learning process into a fun task.

Top 5 Python Tips for Beginners

So, beginners it good for you to learn a Python programming language as it is a language of the upcoming year. By following these python tips, you can crack down codes quickly and even land a job as python programmer;

#1. Running Python Scripts

Let’s first start our python tips list with the running python scripts. You can run python on most of the UNIX systems. The running python scripts are super easy with the help of following command line in all the UNIX systems;

# run a python script

$ python MyFirstPythonScript.py

#2. Running python Programs from Python Interpreter

Python interpreter is very interactive and easy to use. You can enter any command in the python at the beginning. You just have to type a command at the python one by one and the answer will be immediate. Generally, python console can be started by you with the help of this command:

# start a python console

$ python
>>> <type commands here>

All the prompt python commands start with the >>> symbol. You should always remember that python takes tabs pretty seriously, so if you are receiving any error that mentions tabs, then immediately correct the tab spacing.

#3. Using enumerate() function

The enumerate () function adds a counter to an iteration object. Iterable is an object which has an iter method that returns an iterator. It can accept sequential indexes starting from zero. And raises an IndexError when the indexes are no longer valid. The typical example of the enumerate () function is to loop over a list and keep track of the index. However, python gives a nice syntax for this with the help of enumerate () function.

# 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

#4. Data type SET

The data type set is a sort of collection. It is part of the python family since version 2.4. A set has an unordered collection of unique and immutable objects. It is a python data type which is an implementation of the <sets>. This shows that why the sets, unlike list or tuples. If you want to create a set, then the example will explain you everything.

# *** Create a set with strings and perform a search in a 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(“These are the best Python coding tips, not Java tips.”)
# ** Output

{‘python’, ‘coding’, ‘tips’, ‘for’, ‘beginners’}
5
These are the best Python coding tips.
These are 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’}

#5. Dynamic Typing

In the statically types programming languages like Java, you have to specify the data type of the function return value. However, Python is a dynamically typed language which doesn’t need explicitly data types. Based on the provided value, it keeps on tracking datatype internally. The following example will explain the process better to you.

# Test for dynamic typing.

from types import *

def CheckIt (x):
if type(x) == IntType:
print(“You have entered an integer.”)
else:
print(“Unable to recognize the input data type.”)

# Perform dynamic typing test
CheckIt(999)
# Output:
# You have entered an integer.

CheckIt(“999”)
# Output:
# Unable to recognize the input data type.

Quick tip; Just cram three python tips and you are good to hit your python class with your head held high.

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