Complete PYTHON Programming for Beginners 2024

Complete PYTHON Programming for Beginners – 2024, available at $69.99, has an average rating of 4.25, with 78 lectures, based on 3303 reviews, and has 205513 subscribers.

You will learn about You will learn to create professional real-world programs in Python the ultimate OOP way! Learn how to plan your Python programs before writing them! Learn and apply proper design principles when programming in Python! Learn to troubleshoot code issues using debuggers! Get a deep understanding of how Python works under the hood! Learn to write highly organized modular code! You will build large real-world Python applications. This course is ideal for individuals who are Absolute Beginners or Non-Absolute Beginners or Intermediates It is particularly useful for Absolute Beginners or Non-Absolute Beginners or Intermediates.

Enroll now: Complete PYTHON Programming for Beginners – 2024

Summary

Title: Complete PYTHON Programming for Beginners – 2024

Price: $69.99

Average Rating: 4.25

Number of Lectures: 78

Number of Published Lectures: 78

Number of Curriculum Items: 78

Number of Published Curriculum Objects: 78

Original Price: ?799

Quality Status: approved

Status: Live

What You Will Learn

You will learn to create professional real-world programs in Python the ultimate OOP way!

Learn how to plan your Python programs before writing them!

Learn and apply proper design principles when programming in Python!

Learn to troubleshoot code issues using debuggers!

Get a deep understanding of how Python works under the hood!

Learn to write highly organized modular code!

You will build large real-world Python applications.

Who Should Attend

Absolute Beginners

Non-Absolute Beginners

Intermediates

Target Audiences

Absolute Beginners

Non-Absolute Beginners

Intermediates

On successful completion of the course, you will be able to program in the professional object-oriented programming (OOP) paradigm in Python, which allows you to start your programmer career. All professional Python programmers develop applications the OOP way. You, too, will be able to write complex, scalable programs in Python on completion of this course.

The course follows a practical approach where students learn by actively problem-solving towards the tangible goal of creating real-world Python programs. The course covers real-world Python programs that you will develop using the object-oriented programming (OOP) paradigm.

Apart from learning Python, in this course, students also learn to use all the necessary tools and techniques they need to become a professional Python programmer. These are software design principles, writing highly organized code, code planning, code refactoring, SQL databases, and more.

We designed this course for both absolute and non-absolute beginners. However, if you are an intermediate who knows Python well, you may still benefit from the course because it covers some advanced Python and programming concepts that you will hardly find anywhere else. Advanced concepts, such as abstract classes, class methods, composition, refactoring, etc., will be comprehensively covered and practiced in the course.

Do I need previous experience with other programming languages to take this course?

No. In fact, in this course, you will not merely learn Python syntax. You will understand Python from the inside-out from the computer science perspective so that you will have a deeper understanding of how programming works.

Course Curriculum

Chapter 1: Introduction of scripting

Lecture 1: Scripting and types of Scripting languages

Lecture 2: Difference between scripting and programming language

Chapter 2: Explanation of Programming language paradigm

Lecture 1: Programming language paradigm

Chapter 3: Introduction of Python

Lecture 1: History of python

Lecture 2: Python file extensions

Chapter 4: Explanation of Python script

Lecture 1: Python script mode

Lecture 2: Installation of Python and Pycharm

Chapter 5: About Python

Lecture 1: Characteristics and features of python

Lecture 2: Python comments

Chapter 6: Anaconda Framework

Lecture 1: Explanation of Anaconda framework

Lecture 2: Anaconda python

Lecture 3: Working with SPYDER IDE

Lecture 4: Working with JUPYTER NOTEBOOK

Chapter 7: IDE and Debugging

Lecture 1: Pycharm IDE

Lecture 2: Debugging Python code

Chapter 8: Explanation of Variables

Lecture 1: Python Variables

Lecture 2: Explanation of python code(or) statement

Chapter 9: Python Datatypes

Lecture 1: Python Numerical Datatypes

Chapter 10: Python Literals

Lecture 1: Python Binary,octa,Hexa decimal literals

Chapter 11: Explanation of order of operations

Lecture 1: Order of operations

Chapter 12: Python MATH module

Lecture 1: Python MATH module

Lecture 2: Python math module part-2

Chapter 13: Explanation of Number type conversions

Lecture 1: Number type conversions in python

Chapter 14: Python String Operations

Lecture 1: Python String operations

Lecture 2: Special characters in strings

Lecture 3: String Indices in python

Lecture 4: Updating Strings in python

Lecture 5: String Formatting operator in Python

Lecture 6: Python Identifiers

Lecture 7: Structuring with Indentation in Python

Lecture 8: String Library in Python

Lecture 9: Max method in Python

Lecture 10: Split method in Python

Chapter 15: Datastructures in python

Lecture 1: Data

Lecture 2: Datastructure

Lecture 3: Types of Datastructures

Lecture 4: Datastructures in python

Lecture 5: Lists in Python

Lecture 6: Lists Implementation in python

Lecture 7: Tuples in python

Lecture 8: Set in python

Lecture 9: Python Dictionaries

Lecture 10: Working with Python Lists

Lecture 11: Basic operations on Lists

Lecture 12: Accessing elements from Lists

Lecture 13: Pre-defined methods of Lists

Lecture 14: Python Enumerate method

Lecture 15: Working with Tuple

Lecture 16: Pre-defined methods of Tuple

Lecture 17: Built-in functions of Tuple

Lecture 18: Working with set

Lecture 19: Iterating sets using for loop

Lecture 20: Working with python Dictionaries

Chapter 16: Python Operators

Lecture 1: Operators in Python

Lecture 2: Arithmetic operators in python

Lecture 3: Comparison operators in python

Lecture 4: Assignment operators in Python

Lecture 5: Logical operators in python

Lecture 6: Special operators in python

Lecture 7: Python Bitwise and operator

Lecture 8: Python Bitwise or operator

Lecture 9: Python Bitwise XOR Operator

Lecture 10: Bitwise compliment operator

Lecture 11: Binary Left shift and Right shift operators

Chapter 17: Working with Range function

Lecture 1: Range function in Python

Lecture 2: Example of Range function

Chapter 18: Functions in Python

Lecture 1: Types of functions in Python

Lecture 2: Defining and calling a function in python

Chapter 19: Python module

Lecture 1: Working with Python module

Chapter 20: OOPS IN Python

Lecture 1: OOPS in python

Lecture 2: Class,object,method in python

Lecture 3: Inheritance in python

Lecture 4: Abstraction in OOPS Python

Lecture 5: Example of Abstract class,method in python

Chapter 21: Working with Multi-threading

Lecture 1: Multi-threading in python

Lecture 2: Example of Multi-threading

Chapter 22: Working with Access specifiers

Lecture 1: Working with Access Specifiers in Python

Chapter 23: Python errors

Instructors

Hemanth kumar
Data Scientist | AI Entrepreneur and Developer

Rating Distribution

1 stars: 68 votes

2 stars: 112 votes

3 stars: 532 votes

4 stars: 1149 votes

5 stars: 1442 votes

Frequently Asked Questions

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