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Overview:

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.

Learn Pythopn from expert

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.

Learn Python in 16 hrs from experts



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.

Watch this Python programming video

More information on Python Programming Language:

Features of Python Programming

  • Simple
  • Free and open source
  • Elegant syntax and readability
  • Large library
  • Cross-platform
  • Use of interpreter
  • Object oriented
  • Can be integrated with other programming languages like C, C+, Java

Applications of Python

  • Web Applications
  • Creating software Prototypes
  • Scientific and Numeric Computing
  • Good Language to Teach Programming
  • Python is used by many companies to teach programming to kids and newbies

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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.

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

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Table of Content

  • Basics of Python
    • What is Python?
    • Why choose Python over any other language?
    • Features of Python
    • Version history of Python
    • Check Python version
  • Python Installation & Program Execution
    • Python Installation
    • Python Program execution
  • Fundamentals of Python
    • Statements
    • Expressions
    • Assignment Statements
    • Indentations
    • Comments
    • Single-line comments
    • Multi-line comment
    • doc-staring comments
    • Variables
    • Constants
    • Tokens
    • Identifiers
    • Keywords
    • Literals
    • Operators
  • Datatypes in Python
    • Numbers
    • String
    • List
    • Tuple
    • Sets
    • Dictionary
    • Boolean
  • Python Control Flow Statements
    • If-statement
      • If-else
      • Nested if
      • Python break
      • Python continue statement
    • Loops
      • While loop
      • For loop
  • Functions in Python
    • Python Functions
    • Define a function
    • Call a function
    • Scope of variable
    • Local variable
    • Global variable
    • Anonymous function
  • File Input Output in python
    • Opening a file,
    • Writing into the file,
    • Reading from the file,
    • Closing a file
    • Various file methods.
  • Exception Handling in Python
    • What is an Error in Python?
    • Syntax error
    • Exceptions
    • Built in exception classes
    • Exception handling
    • Try-except-else clause
    • Try-finally clause
    • Raise exceptions
    • Conflicts in exception handling
  • Python Modules, Regular Expressions and Python Frameworks
    • What is Python module?
    • Why do we use modules in Python?
    • Importing module
    • Built in modules
    • Regular Expression
    • Table – Regular Expression Characters In Python
    • The match Function
    • Special Sequence Characters
    • Search Function
    • Regular Expression Modifiers (Option Flags)
    • Python GUI Frameworks
    • Qt
    • GTK
    • wxPython
    • Tkinter

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"2 Responses on Python Tutorial – Learn Python Programming from Experts"

  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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