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Python 3 Programming Language Tutorial for Beginners

In today’s world, the most preferred programming language for Data Science is Python because of its various libraries for storing, manipulating, and gaining insights from data. This Python tutorial will help you to learn various concepts of Python programming language.

In this tutorial, you will also gain knowledge about Python basics, Python object-oriented programming concepts, development environments, processing and manipulating data, design captivating visualizations, and solve scientific computing challenges and so on.

Watch this Python programming video

Whether you’re new to Data Science or you have just started with Python, Intellipaat Python for Data Science Course is your perfect choice to getting start with overload data and discovering interesting facts from the heaps of information.

Audience

  • Both Software Professionals and engineering graduate freshers, who wants to gain knowledge about Python in easy and simple steps can go through this Intellipaat tutorial

Prerequisites

  • Access to a computer- (Windows, Mac, and Linux). Setup and installation instructions are included for each platform.
  • Your enthusiasm to learn this go-to programming language.

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Why Learn Python?

To learn Python for data Science, there are several reasons. Some of them are as follows:

  • When it comes to automate predictive model, Python is the first choice for data scientists
  • Python provide some of the awesome and robust libraries for big data, artificial Intelligence, machine learning, and deep learning.
  • For deploying machine learning models in production, Data Scientist prefer Python over R.
  • It is easy to integrate python with big data frameworks such as Spark and Hadoop.
  • Python has a huge online community support.

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Beginner Tips for Learning Python Programming Online

While learning as a beginner programmer, you should follow these tips which will help you to deal with the new concepts:

Tip #1: Practice your code everyday

It is important to have consistency while learning any new programming language. It is important that you should make commitment to write code every day. As it will play with your muscle memory which is a very important part in programming.

Tip #2: Make notes

It is important for anyone who is new to programming to take notes. In fact, some of the research have suggested that taking notes by hand is most helpful way for long-term knowledge retention especially beneficial for those who goal of become a full-time python developer. This practice will help you when you start working on projects. This practice of writing code can also help you plan and understand your code before you write it on the computer. This will save a lot of your time when you have to write codes for functions and classes, as well as it will make you understand how they are interacting.

Tip #3: Use Interactive Python shell

Whether you are new Python data structures (dictionaries, lists, strings etc.), or you are debugging an application, the best learning tools is interactive Python shell.

To use the interactive Python shell, first you should install Python on your computer. The step-by-step installation procedure of python you can learn in this tutorial. To activate and use the interactive Python shell, simply open the terminal on your system and run python or python3 depending on your version of installation. Now that you know shell is open, you can write code.

Tip #4: Take Breaks for better learning

Exercising both mind and body is important while studying this will help you to absorb the concepts. According to the Pomodoro Technique: work for 25 minutes, then take a short break, and again repeat the process. Taking short breaks is important for an effective study session, mainly this will help you in taking a lot of new information.

Tip #5: Always try to be a Bug Bounty Hunter

Hitting a bug is applicable when you start writing a complex program. Surely, there is a high possibility of hitting a bug into your code. Don’t get frustrated, it happens with everyone! Instead, grip these moments as a pride and think of yourself as a bug bounty hunter.

It is important to have a methodological approach while debugging the code, which will help you to find where your code is breaking down. Going through your code step by step in its executable order and make sure each part of code works is a great way you want it to do.

Tip #6: Make it collaborative

Always try to surround yourself with other learners. This will help you to share and gain the tips and tricks you learn along the way.

Tip #7: Teach

You would have heard that the appropriate way to learn something is teach that concept to other after learning it. This is very true when it comes for learning Python as well.

Tip #8: Ask questions and always try to answer it.

You should always ask question. Asking questions will help you to gain new knowledge on certain thoughts, and by answering questions you will recollect all your previous knowledge. Recalling and sharing concepts with others and hearing it again will help you to recollect your knowledge, as well as make your brain to work.

Tip #9: Try to Build Some Small Projects

Always try to build small project for each concept. This will help you build confident of writing Python program, as well as this will help you to develop the muscle memory. Once you have a solid foundation on basic data structures (dictionaries, strings, sets, lists), object-oriented programming, and writing classes. This will also teach you the most of your programming concepts. For the best of career growth, check out Python training course to get certified. Also, Intellipaat is providing a free Python interview questions and answers, which will help to excel your career.

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Table of Content

  • What is Python?
    • Why choose Python over any other language?
    • Features of Python
    • Characteristics of Python Programming
    • Applications of Python
  • Python Version
  • How to Download and Install Python?
    • Installation of Python on Windows
    • Installing Anaconda Python and Jupyter Notebook
    • Python Installation on Linux
    • Python Installation on Ubuntu
    • Python Installation on Mac OS X
    • Python Program execution
  • Python Syntax
    • Python line structure
    • Python Multiline Statements
    • Whitespaces and Indentations
    • Identifiers
    • Reserved words
    • Python Quotation
  • Python Comment
    • Writing Comments in Python
    • Single line Comments
    • Doc-string Comments
    • Multi-line Comments
  • Python Data Types
  • Python Variables
    • Creating and Declaring a variable
    • Re-declaring a variable
    • Local variable
    • Global variable
    • Deleting a variable
    • Concatenating variables
    • Constants
  •  Python Numbers
    • Categories of Number Datatype
    • Integer
    • Long integer
    • Octal and hexadecimal
    • Floating-point
    • Complex numbers
    • Number Type Conversion
  • Python Strings
    • Creating String
    • Accessing string characters
    • Updating or deleting String
    • Strings Operators
    • Built-in string methods
  • Python Lists
    • Creating a list
    • Creating Multi-Dimensional Lists
    • List Comprehension
    • List Extension
    • Accessing a list
    • Common List operations
    • Python list methods and functions
  • Python Tuples
    • Advantages of Tuple over Lists
    • Creating a Tuple
    • Accessing tuple
    • Performing Operations in Tuple
  • Python Sets
    • Instantiate a Set
    • Set Operations
    • Common set methods
  • Python Dictionary
    • Create a dictionary
    • Access items in a dictionary
    • Operations in Dictionary
    • Loop through a dictionary
    • Adding items
    • Removing items from a dictionary and deleting the whole dictionary
    • Dictionary length
    • Check all the keys
    • Common dictionary methods
  • Python Operators
    • Types of operators
    • Arithmetic Operators
    • Relational Operators
    • Assignment Operators
    • Logical Operators
    • Membership Operators
    • Bitwise Operators
    • Identity Operators
  • Type Conversion in Python
    • Implicit Type conversion
    • Explicit Type Conversion
    • Key points to remember
  • Python If…else statements
    • Python Conditionals and If statements
    • Python if else statements
    • Python if elif else statements
    • Python nested if statements
    • Shorthand if and if…else
  • Python While Loops
    • What is while loop
    • Infinite while loop
    • Else with while loop
    • Loop interruptions
  • Python For Loops
    • For loop in Python
    • The range() function
    • Loop interruptions
    • Else in for loop
    • Nested for loop
  • Python Functions
    • What is a function in Python?
    • Define a function
    • Call a function
    • Adding docstring in function
    • Scope of variable
  • Python Lambda Function
    • What are lambda functions in Python?
    • Why use lambda functions?
    • Properties of lambda function
  • Python Built-in Functions
  • Python Arrays
    • Arrays vs lists
    • Creating an array
    • Accessing an array element
    • Basic operations
  • Python Classes and Objects
    • What are classes and objects in Python?
    • Advantages of using classes
    • Defining a class
    • Creating an object
    • The –init–() function
    • Python inheritance and its types
  • Python Dates
    • Getting current date and time
    • Creating Date objects
    • Strftime method
  • Python JSON
    • Parse JSON – Converting from JSON to Python
    • Convert from Python to JSON
    • Format the result
    • Order the result
  • Python RegEx
    • Regular Expression Characters in Python
    • The match function
    • Special sequence characters
    • Search function
    • Regular Expression modifiers
  • Python PIP
    • Checking if PIP is installed
    • Installing PIP
    • Downloading a Package using PIP
    • Removing a package using PIP
    • Listing and searching packages using PIP
  • Python File Handling
    • Opening a file
    • Writing into the file
    • Reading from the file
    • Closing a file
    • Various file methods
  • Python Exception Handling
    • What is an Error in Python?
    • Syntax error
    • Exceptions
    • Exception handling
    • Try-except-else clause
    • Try-finally clause
    • Raise exceptions
    • Conflicts in exception handling
  • Python Enumerate Function
    • Enumerate function
    • Enumerate a list
    • Enumerate a tuple
    • Enumerate a list of tuples
    • Enumerate a string
    • Enumerate from a specific index
    • Enumerate inside a list comprehension
  • Python Queue
    • Python First In First Out Queue
    • Python Last In First Out Queue
    • Python Priority Queue
    • Conclusion

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"2 Responses on Python Tutorial – Learn Python 3 Programming from Expert"

  1. Dev says:

    Excellent tutorial which is highly appreciated. Thanks!!!! I have learned a lot from your tutorials.

  2. Kartik says:

    Thanking you for your time sharing your intelligence with such kind respect for new learners. Its a good guide for python beginners.

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