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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Can I take my courses with me wherever I go?
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