Beginning with Python Programming

Beginning with Python Programming, available at Free, has an average rating of 3.55, with 16 lectures, based on 117 reviews, and has 10903 subscribers.

You will learn about As Python is the preferred language for new technologies such as Data Science and Machine Learning,Writing basic and simple coding in Python, can be understood here. Python is one of the most popular programming languages in the world. For that, learning Programming In Python is advantageous. This course is ideal for individuals who are Anybody who wants to learn programming or Python for anybody:Basic To Advanced Concepts or Python developers are curious about Data Science, AI and ML. It is particularly useful for Anybody who wants to learn programming or Python for anybody:Basic To Advanced Concepts or Python developers are curious about Data Science, AI and ML.

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Summary

Title: Beginning with Python Programming

Price: Free

Average Rating: 3.55

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

As Python is the preferred language for new technologies such as Data Science and Machine Learning,Writing basic and simple coding in Python, can be understood here.
Python is one of the most popular programming languages in the world. For that, learning Programming In Python is advantageous.

Who Should Attend

Anybody who wants to learn programming
Python for anybody:Basic To Advanced Concepts
Python developers are curious about Data Science, AI and ML.

Target Audiences

Anybody who wants to learn programming
Python for anybody:Basic To Advanced Concepts
Python developers are curious about Data Science, AI and ML.

Why Python? 1

Reasons for Python as the learner are the first programming language.

Introduction to the IDLE interpreter (shell) and its documentation.

Building Blocks of Program: Data, Data Types, Data Binding, Variables, Constants, Declaration, Operations on Data such as assignment, arithmetic, relational, logical operations, dry run, and variables used.

Develop Code using Python: Features, basic syntax, Writing and executing a simple program, Basic Data Types such as numbers, strings, etc.

Declaring variables, Performing assignments, arithmetic operations, Simple input-output Sequence Control:

Precedence of operators, Type conversion Conditional Statements: if, if-else, nested if-else.

Looping: for, while, nested loops Control statements: Terminating loops, skipping specific conditions

Collection Manipulation: declaring strings, string functions, Lists, Tuples.

Functions And Modules: Defining a function, calling a function, Advantages of functions, types of functions, function parameters, Formal parameters, Actual parameters, global and local variables,

GUI Programming in Python (using Tkinter/wxPython/Qt) What is GUI, Advantages of GUI, Introduction to GUI library. Layout management, events, and bindings, fonts, colors, drawing on canvas (line, oval, rectangle, etc.) Widgets: frame, label, button, check button, entry, Listbox, message, radio button, text, spinbox, etc.

Finally, the role of Python in ML and NLP.

Course Curriculum

Chapter 1: Why Python? Reasons for Python as the learner are first programming language

Lecture 1: Why Python? Reasons for Python as the learner are first programming language

Chapter 2: Introduction to the IDLE interpreter (shell) and its documentation.

Lecture 1: Introduction to the IDLE interpreter (shell) and its documentation.

Chapter 3: Understanding variables.

Lecture 1: Understanding variables.

Chapter 4: Building Blocks of Program: Data, Data Types, Data Binding, Variables, Constants

Lecture 1: Building Blocks of Program: Data, Data Types, Data Binding, Variables, Constants

Chapter 5: Use of Relational Operators

Lecture 1: Understanding Relational Operators

Chapter 6: Use of Logical operators in Python

Lecture 1: Understanding logical operators

Chapter 7: Simple input-output and Sequence statement

Lecture 1: Simple input-output and Sequence statement

Chapter 8: Understanding simple sequential programs

Lecture 1: Understanding simple sequential programs

Chapter 9: Precedence of operators in Python

Lecture 1: Precedence of Operators

Chapter 10: Conditions

Lecture 1: If else condition, when to use if condition ,its execution and indentation

Chapter 11: Executing the conditions using if..elif..else etc

Lecture 1: Executing the conditions using if..else..elif statements and indentation

Lecture 2: If else condition along with nested if that is if inside another if condition

Chapter 12: Understanding Loops like while loop and for loop

Lecture 1: Understanding loops and iterative constructs

Chapter 13: Understanding concept of Jupyter Notebook

Lecture 1: Understanding Jupyter Notebook and working on it to execute simple program

Chapter 14: Concept of For Loop in Python

Lecture 1: For loop in Python with an example

Chapter 15: Learning Lists, User Defined Functions ,Introduction to Tkinter,DB connectivity

Lecture 1: To learn about lists, User Defined Functions along with introduction to Tkinter

Instructors

Madhavi Vaidya
Asst Professor and Teacher

Rating Distribution

1 stars: 5 votes
2 stars: 9 votes
3 stars: 34 votes
4 stars: 37 votes
5 stars: 32 votes

Frequently Asked Questions

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