Core Python for Everyone
Core Python for Everyone, available at $34.99, has an average rating of 4.35, with 64 lectures, based on 824 reviews, and has 13789 subscribers.
You will learn about Python This course is ideal for individuals who are Anyone who wants to learn Python programming It is particularly useful for Anyone who wants to learn Python programming.
Enroll now: Core Python for Everyone
Summary
Title: Core Python for Everyone
Price: $34.99
Average Rating: 4.35
Number of Lectures: 64
Number of Published Lectures: 64
Number of Curriculum Items: 64
Number of Published Curriculum Objects: 64
Original Price: ₹1,799
Quality Status: approved
Status: Live
What You Will Learn
- Python
Who Should Attend
- Anyone who wants to learn Python programming
Target Audiences
- Anyone who wants to learn Python programming
As you know, there are so many Python courses available in the market. Then, you may think why do I learn through this course? You will definitely experience that its not just another Python course.
The objective of this course is to spread quality knowledge of Python, in a simple and easily understandable language with practical examples. It can be used by a wide range of students, right from budding programmers to practicing professionals.
More specifically, students/teachers of diploma/degree engineering, BCS, BCA, BSC, MSC, MCS, MCA etc will be benefited.
Prior programming experience is not required to learn Python through this course.
Beginner who will start journey of learning Python via this course will definitely acquire sound knowledge of Pythion.
Happy Python Journey!!!
FAQ:
Q. I have never done programming as of now. Can I do this course?
Yes, if you are familiar with basics related to computer even without any programming experienc you can easily do this course.
Q. I have done programming in C/C++ etc. Can I do this course?
Anyone who already have exposure of little bit programming can directly do this course from section 7.
Q. I am already Python programmer. Is this course useful to me?
Anyone who is already Python programmer can go through the 9th section “Class” & see if there is any value addition in his/her knowledge.
Course Curriculum
Chapter 1: Course Introduction (In brief)
Lecture 1: Course Introduction ( In brief)
Chapter 2: Welcome to Python Programming World!!!
Lecture 1: History of Python
Lecture 2: First Python Program
Lecture 3: Python Development Environment
Lecture 4: Programming Errors
Lecture 5: Python Data Types
Lecture 6: Python Installation & demo of First Python Program
Chapter 3: Structured Programming: Sequential & Selection Control Flow
Lecture 1: Sequential Control Flow
Lecture 2: Selection Control Flow
Lecture 3: Pseudo Code & Flowchart
Lecture 4: Conditional Operator
Lecture 5: Operator Precedence
Lecture 6: Logical Operators
Chapter 4: Structured Programming: Iteration Control Flow
Lecture 1: Iteration Control Flow
Lecture 2: while loop
Lecture 3: for loop
Lecture 4: break & continue (Jump Control Flow)
Lecture 5: Nested Loops
Lecture 6: Counter Controlled & Sentinel Controlled Loops
Chapter 5: Structured Programming: Function
Lecture 1: Function
Lecture 2: Scope of a Variable
Lecture 3: Nested Function
Lecture 4: Team Work is Spirit
Lecture 5: Function: Advantages & Disadvantages
Lecture 6: Recursive Function
Lecture 7: Lambda ( Anonymous) Function
Chapter 6: List
Lecture 1: List
Lecture 2: Linear & Binary Search
Lecture 3: Nested Lists
Lecture 4: List Methods
Chapter 7: Leftover Collections
Lecture 1: Leftover Collections ( Introduction)
Lecture 2: Array
Lecture 3: Tuple
Lecture 4: Numpy
Lecture 5: Set & Dictionary
Lecture 6: Comparison of List, Array, Tuple, Numpy, Set & Dictionary
Chapter 8: String
Lecture 1: String (Introduction)
Lecture 2: String Immutable
Lecture 3: String Functions
Chapter 9: Class
Lecture 1: Class (Introduction)
Lecture 2: Objects & Method
Lecture 3: List & Objects
Lecture 4: Nested Class: Class as a Data Member of Another Class
Chapter 10: More about Class
Lecture 1: More about Class
Lecture 2: Access Specifier
Chapter 11: Class Features
Lecture 1: Class Features
Lecture 2: Parameterized & Default Constructor
Lecture 3: Self
Lecture 4: Static Attributes, Static Methods & Class Attributes
Lecture 5: Package
Chapter 12: Inheritance
Lecture 1: Inheritance (Introduction)
Lecture 2: Composition
Lecture 3: Advantages & disadvantages of Inheritance
Lecture 4: Abstract Method & Abstract Class
Chapter 13: Dynamic Polymorphism
Lecture 1: Dynamic Polymorphism (Introduction)
Lecture 2: Abstract Class & Abstract Method : Practical Implementation
Chapter 14: Exception Handling
Lecture 1: Exception Handling ( Show must go on!)
Lecture 2: finally
Lecture 3: Exception Handling: Inheritance Class Hierarchy
Chapter 15: Files
Lecture 1: Files Input & Output
Lecture 2: Writing into a File
Lecture 3: Reading from File
Lecture 4: Modifying a File
Lecture 5: File Operations in Binary Mode
Instructors
-
Madhusudan Mothe
BE (COEP), M.Tech. (IIT Bombay)
Rating Distribution
- 1 stars: 17 votes
- 2 stars: 26 votes
- 3 stars: 139 votes
- 4 stars: 291 votes
- 5 stars: 351 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!
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