Learn Programming with Python

Learn Programming with Python, available at $59.99, has an average rating of 4.55, with 27 lectures, based on 209 reviews, and has 8253 subscribers.

You will learn about Learn programming with python python programming fundamentals, advanced concepts like oop, data analysis. This course is ideal for individuals who are python developers, data science and machine learning enthusiasts It is particularly useful for python developers, data science and machine learning enthusiasts.

Enroll now: Learn Programming with Python

Summary

Title: Learn Programming with Python

Price: $59.99

Average Rating: 4.55

Number of Lectures: 27

Number of Published Lectures: 27

Number of Curriculum Items: 27

Number of Published Curriculum Objects: 27

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn programming with python
python programming fundamentals, advanced concepts like oop, data analysis.

Who Should Attend

python developers, data science and machine learning enthusiasts

Target Audiences

python developers, data science and machine learning enthusiasts

In this course, you will learn all the fundamental concepts to be a python programmer. You will also learn some advanced concepts such as Object Oriented programming, Analyzing and Visualizing data with Python along with the basic concepts such as introduction, setting up the environment for python, variables and operators, data types, decision statements, looping statements, functions, lambda functions, exception handling and regular expressions.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Installing and setting up environment

Lecture 1: Installing Python

Lecture 2: Introduction to Jupyter notebook

Chapter 3: Variables and Operators

Lecture 1: Variables – Dynamically typed vs Statically typed

Lecture 2: Variables – Casing conventions

Lecture 3: Variables – Rules to be followed

Lecture 4: Operators

Chapter 4: Data Types

Lecture 1: Data Types

Lecture 2: Boolean Types

Lecture 3: Numeric Types

Lecture 4: Mathematical Functions

Lecture 5: Statistical Functions

Lecture 6: Strings

Lecture 7: Lists

Lecture 8: Dictionaries

Lecture 9: Tuples

Lecture 10: Sets

Lecture 11: Iterators and Generators

Lecture 12: Context Management

Chapter 5: Program Control Flow

Lecture 1: Decision statements

Lecture 2: Looping Statements

Lecture 3: Functions

Chapter 6: Micellaneous

Lecture 1: Lambda Functions

Lecture 2: Exception Handling

Lecture 3: Regular Expressions

Lecture 4: Object Oriented Programming

Lecture 5: Data Analysis and Visualization

Instructors

Vinay Kumar
Software Engineer

Rating Distribution

1 stars: 6 votes
2 stars: 6 votes
3 stars: 41 votes
4 stars: 103 votes
5 stars: 53 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!

Menu