HOT
blank

Python for beginners

Development

Rating4.5
Enroll Now

Python for beginners, available at $109.99, has an average rating of 4.52, with 333 lectures, 25 quizzes, based on 26015 reviews, and has 257781 subscribers.

You will learn about Master the Features of Python Language Install Python Virtual Machine and the Eclipse IDE(PyDev) Execute your first python program Learn various simple types as well as collection types Define logic using conditional statements ,looping constructs Use the different types of operators See the input and output functions in action Pass Command line arguments Create and use functions , Lambdas Decorators and Generators Learn what Object Oriented Programming is the four OOPs principles Implement inheritance, abstraction, polymorphism and encapsulation Understand interfaces, their importance, and their uses Use abstract classes and interfaces to implement abstraction Handle Exceptions Read and Write files using the Files API Do pattern matching using Regular expressions Deal with data and time All in simple steps This course is ideal for individuals who are Any student who wants to learn python in depth or Developers who are getting started with Python or Big Data professionals who want to learn pythons quickly and in depth or Experienced developers who want to fill in any gaps in their knowledge It is particularly useful for Any student who wants to learn python in depth or Developers who are getting started with Python or Big Data professionals who want to learn pythons quickly and in depth or Experienced developers who want to fill in any gaps in their knowledge.

Enroll now: Python for beginners

Summary

Title: Python for beginners

Price: $109.99

Average Rating: 4.52

Number of Lectures: 333

Number of Quizzes: 25

Number of Published Lectures: 333

Number of Published Quizzes: 25

Number of Curriculum Items: 377

Number of Published Curriculum Objects: 377

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

  • Master the Features of Python Language
  • Install Python Virtual Machine and the Eclipse IDE(PyDev)
  • Execute your first python program
  • Learn various simple types as well as collection types
  • Define logic using conditional statements ,looping constructs
  • Use the different types of operators
  • See the input and output functions in action
  • Pass Command line arguments
  • Create and use functions , Lambdas Decorators and Generators
  • Learn what Object Oriented Programming is the four OOPs principles
  • Implement inheritance, abstraction, polymorphism and encapsulation
  • Understand interfaces, their importance, and their uses
  • Use abstract classes and interfaces to implement abstraction
  • Handle Exceptions
  • Read and Write files using the Files API
  • Do pattern matching using Regular expressions
  • Deal with data and time
  • All in simple steps

Who Should Attend

  • Any student who wants to learn python in depth
  • Developers who are getting started with Python
  • Big Data professionals who want to learn pythons quickly and in depth
  • Experienced developers who want to fill in any gaps in their knowledge

Target Audiences

  • Any student who wants to learn python in depth
  • Developers who are getting started with Python
  • Big Data professionals who want to learn pythons quickly and in depth
  • Experienced developers who want to fill in any gaps in their knowledge

Sample of the reviews:

Bharath truly knows how to teach, how to educate, and how to make you understand the meaning of his courses. Quite frankly, this guy is really good. You won’t regret it! — Didier K. Nzimbi

As a beginner from non IT background, i learnt lot from this course and build a confidence to proceed in python coding and definitely recommending to pursue this course — Mahesh Dedge

Great course in Python, Bharath is the best instructor in Udemy, I like his way he teaches and how he structures his course. I come from a Java background and no prior experience with Python, which will be important for me to do with my AI project — Bruno Militzer

—-

Whether you are a College studentlearning the fundamentals of Python or a Data Science expertusing python to analyze your data or a Web Developer using python frameworks like DJango or a Experienced python developerwho wants to fill in the gaps , this course will help you accomplish your goals.

  • Master the Features of Python Language

  • Install Python Virtual Machine and the Eclipse IDE(PyDev)

  • or Install PyCharm Community Edition

  • Execute your first python program

  • Learn various simple types as well as collection types lists , sets , maps and tuples

  • Work on various Usecases to apply you Python knowledge

  • Define logic using conditional statements ,looping constructs

  • Use the different types of operators

  • See the input and output functions in action

  • Pass Command line arguments

  • Create and use functions , Lambdas Decorators and Generators

  • Learn what Object Oriented Programming is the four OOPs principles

  • Implement inheritance, abstraction, polymorphism and encapsulation

  • Understand interfaces, their importance, and their uses

  • Use abstract classes and interfaces to implement abstraction

  • Spawn of multiple threads

  • Handle Exceptions

  • Read and Write files using the Files API

  • Do pattern matching using Regular expressions

  • Deal with data and time

  • Work with databases

  • Connect with MySql and Postgresql

  • Master the fundamentals of Unit Testing and Virtual Environments

  • All in simple steps

What are the requirements?

  • Python,PyCharm Community Edition or Eclipse IDE(Installation is covered in easy setup section)

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course and Instructor Introduction

Lecture 2: How to make the best of this course

Lecture 3: Download Slides

Lecture 4: Download Theory Notes

Lecture 5: What is Python?

Lecture 6: Why Python?

Chapter 2: Software Setup and First Python Script

Lecture 1: Introduction

Lecture 2: Install Python

Lecture 3: Install PyCharm

Lecture 4: Download the completed projects and Assignments

Lecture 5: First Python Program

Lecture 6: Comments

Lecture 7: Python Indentation

Chapter 3: Datatypes

Lecture 1: Introduction

Lecture 2: Numeric Types

Lecture 3: Complex , Binary and Hexadecimal Types

Lecture 4: Boolean Types

Lecture 5: Type Conversion Functions

Lecture 6: Identifiers

Chapter 4: Sequence Types

Lecture 1: Introduction

Lecture 2: Create a string

Lecture 3: Slicing a string

Lecture 4: Steps in slicing

Lecture 5: Strip the spaces

Lecture 6: Few more string methods

Lecture 7: Create a list

Lecture 8: Adding and removing list elements

Lecture 9: Few more list functions

Lecture 10: Tuple

Lecture 11: Use a Tuple

Lecture 12: List to Tuple

Lecture 13: List vs Tuple

Lecture 14: Set Type

Lecture 15: Frozen Set

Lecture 16: range type

Lecture 17: bytes and bytearray

Lecture 18: Dictionary

Lecture 19: Immutability

Lecture 20: Datatypes Patient Usecase

Lecture 21: Map of Lists Usecase

Chapter 5: Special Types

Lecture 1: None type

Lecture 2: Escape chars

Lecture 3: Constants

Lecture 4: del keyword

Lecture 5: Data Types Summary

Chapter 6: Operators and Operands

Lecture 1: Arithmetic Operators

Lecture 2: Assignment Operators

Lecture 3: Comparison Operators

Lecture 4: Logical Operators

Lecture 5: Operators BMI Usecase

Chapter 7: Input and Output functions

Lecture 1: Introduction

Lecture 2: print

Lecture 3: print and string formatting

Lecture 4: input

Lecture 5: reading multiple inputs

Lecture 6: Grocery Checkout System

Chapter 8: More Programs

Lecture 1: Read and Display student details

Lecture 2: Average of three numbers

Lecture 3: Area of a circle

Lecture 4: Using the math module

Chapter 9: Flow Control Statements

Lecture 1: Introduction

Lecture 2: If Else Syntax

Lecture 3: Find even or odd number

Lecture 4: IF Else Ladder

Lecture 5: Handle Zero

Lecture 6: While Syntax

Lecture 7: Display numbers from 1 to 20

Lecture 8: Odd numbers between given numbers

Lecture 9: For Syntax

Lecture 10: using for loop

Lecture 11: product of numbers in a list

Lecture 12: multiplication table of a given number

Lecture 13: break

Lecture 14: continue

Lecture 15: assert

Lecture 16: More Programs – Remove Duplicates in List

Lecture 17: More Programs – Count Vowels in a word

Lecture 18: More Programs – Handle employee Details

Instructors

Rating Distribution

  • 1 stars: 225 votes
  • 2 stars: 349 votes
  • 3 stars: 2838 votes
  • 4 stars: 10573 votes
  • 5 stars: 12030 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

You may also like

Top 10 Ethical AI Courses to Learn in November 2024

Top 10 Game Development Courses to Learn in November 2024

Top 10 Software Testing Courses to Learn in November 2024