Python Tutorial – Learn Python 3 Programming from Experts

Python Tutorial – Learn Python 3 Programming from Experts

This Python tutorial will help you learn Python and build a career in this top programming language. Through this tutorial, you will learn Python basics, its salient features, basic syntax, variable types, operators, functions, modules, and more. You will also understand what exception handling is, how to access database, Python classes and loops, and ultimately how to write Python codes. Learn Python from Intellipaat Python Certification course and excel in your career!

Introduction to Python Programming


What is Python used for? Let’s begin with this Python tutorial in order to make you understand what Python programming is. We will start from Python basics.

As per Stack Overflow, Python language is one among the fastest growing programming languages in the world. Forbes says that Python language has seen the 7th largest increase in demand in the past few years. Due to this, there is an acute shortage of skilled and certified Python professionals. Hence, job opportunities for Python programming have increased, tremendously. According to Indeed, the average annual salary of a Python Developer in the US is $123,000.

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Watch this Python Tutorial Video for Beginners:


Python language is one of the most popular programming languages of the 21st century. It is a general-purpose language and has been here around for over 20 years. Python Syntax is also extremely simple and elegant. With its gentle and gradual learning curve, Python is considered as the best introductory programming language. I hope the introduction to python is clear to you by now.

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So, let’s jump onto the other topics in this python tutorial and learn python for beginners.

Here is the list of topics covered in this Python Tutorial, just in case you want to jump right into a specific one:

Why Python?

  • When it comes to automating the predictive model, Python language is the first choice for Data Scientists
  • Python language provides some of the awesome and robust libraries for Big DataArtificial Intelligence, Machine Learning, and Deep Learning.
  • For deploying Machine Learning models in production, Data Scientist prefers Python programming over R.
  • It is easy to integrate Python with Big Data frameworks such as Spark and Hadoop.
  • Python language has huge online community support.

What Can Python Do?

Python is a general-purpose language, which means that it can be used to write software applications in a variety of domains without being restricted to a particular domain. This feature sets Python apart from the domain-specific languages. Being a general-purpose language, Python can do a number of interesting things. Some of them are listed here in this python tutorial below:

  • Python programming can be used to write an application using Tkinterwhich use graphics rather than text to interact with the users.
  • Python language can be used to create games, using its modules such as Pygameor Kivy.
  • Python can also automate boring stuff such as sending emails, uploading status on a Facebook account, and more
  • Python can also be used to experiment with computer vision using its openCV library. It is particularly used in robotics to enable the robots to see and avoid obstacles while moving.
  • Drawing complex graphs and visualizing the data can be by Python, using its matplotliband similar libraries.
  • Being one of the top choices for data analysis, Python can also mine Twitter Data. How convenient is that! Especially, if you consider the fact that in today’s world there are literally hordes of data created every second.

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Difference Between Python 2 and Python 3

Since the release of the new version of Python, i.e., Python 3, which is explained the most in this Python tutorial, there has been a bit of debate in the coding community over deciding which Python version is better. Whether Python 3 is better than Python 2 is a rather subjective question, and the selection between the two eventually comes down to personal preference. But, one must know how Python 2 and Python 3 are different. Python 3 is a fundamentally different version from Python 2.

Check out all the key differences between Python 2 and 3:

Basis of the DifferencePython 2Python 3PrintIn Python 2, you treat print as a statement rather than as a function, and hence there is no need to put the text inside parentheses.In Python 3, you explicitly treat print as a function, which means the text you want to print has to be inside the parentheses or you will get a syntax error.Integer DivisionIn Python 2, the interpreter treats the numbers that you type without any decimal points as integers which might lead to unexpected outcomes of certain mathematical operations, e.g., 5/2 in Python 2 will give the result as 2 instead of 2.5. To get the result as 2.5, you will have to type 5.0/2.0.In Python 3, the interpreter automatically identifies the Python Data Types on the basis of the type of the value. So, the result of 5/2 in Python 3 is by default calculated as 2.5, which is way more convenient than Python 2.InputIn Python 2, you use the raw_input() function to take inputs from users. This function only returns the string representing the user’s input which you have to convert into the desired data type.In Python 3, the input() method is used to take inputs from the user. Here too, the type of the input is automatically interpreted in Python 3.String TypeThe implicit string type in Python 2 is ASCII.The implicit string type in Python 3 is Unicode.


Beginners’ Tips for Learning Python Programming Online

While learning as a beginner through this Python tutorial, you should follow these tips which will help you deal with some new concepts:

Tip #1: Practice Python every day

It is important to have consistency while learning any new programming language. It is important that you should make a commitment to write code every day, as it will play with your muscle memory which is a very important part in programming. Increase your level of coding gradually but never stop playing around with the Python basics coding part. You may end up learning something new every time you practice Python coding even about the python basics.

This python tutorial will also help you keep a good grasp of Python basics. Here are some examples for you to exercise:

Print the type of an element:

>> a = “this is a string”
>>> type(a)
>>> <class ‘str’> #output

Use docstring to add multi-line descriptive descriptions in your code:

>>def printOutput(str):
>>>“’This function will print the passed string’”
>>>print (str)
>>>return;

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Import libraries:>>> import sklearn
>>> import pandas as pd
>>> import matplotlib.pyplot as plt

Perform operations and play around with them:

>> a = ‘Intellipaat’
>>> a.upper()
>>> ‘INTELLIPAAT’

The list does not end here, there are plenty other basic things that you can practice.

Tip #2: Use Interactive Python shell

Whether you are new to Python data structures (dictionaries, lists, strings, etc.) or you are debugging an application, the best learning tool is the Interactive Python Shell.

To use the Interactive Python Shell, first, you should install Python on your computer. This Python tutorial on the step-by-step Installation procedure of Python will help you learn how to install Python in your system. To activate and use the Interactive Python Shell, simply open the terminal on your system and run Python 2 or Python 3 depending on your version of installation. Once the shell is open, you can start writing the code.

Tip #3: Debug your code

Hitting a bug is normal when you start writing a complex program. Don’t get frustrated here; it happens with everyone! Instead, take these moments as pride and think of yourself as a bug bounty hunter. Debugging your own code will help you learn even more.

It is important to have a methodological approach while debugging the code, which will help you find where your code has broken down. Going through your code step by step in its executable order and making sure that each part of your code works fine is the way you should go about it.

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Tip #4: Try to build some small projects

Always try to make up a small project for each concept. This python tutorial will help you build confidence for writing Python programs, as well as this will help you develop the muscle memory. Once you have a solid foundation on the basic data structures (Python DictionariesPython StringsPython setsPython Lists, etc.), object-oriented programming, and writing classes, you will be ready to deploy these programming concepts in real life. Keep writing small codes to keep your concepts clear while learning through this Python Tutorial.

Tip #5: Contribute to open source

Python is an open-source language which means that its source code is available for the public to download, use, and modify. Anyone can collaborate and be an active member of Python community. You have access to the code written and produced by big companies. Working with these codes will be a very valuable learning experience. You can even reach out for other community members whenever you hit a bug in your coding.

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Originally published at www.intellipaat.com on August 24, 2019

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