An Introduction to Python

An Introduction to Python, available at $49.99, has an average rating of 4.2, with 35 lectures, 3 quizzes, based on 145 reviews, and has 5616 subscribers.

You will learn about Students will learn programming in the Python coding Language Python Basics Print statements Datatypes Variables Input Math Operators Functions Pygame / Graphics If statements Logical operators Rational operators Loops Strings and Lists Lambda Intro to JSON Date and Time Intro to CSV Intro to Machine Learning Intro to GUI This course is ideal for individuals who are Beginners who are seeking to have an introduction in Python It is particularly useful for Beginners who are seeking to have an introduction in Python.

Enroll now: An Introduction to Python

Summary

Title: An Introduction to Python

Price: $49.99

Average Rating: 4.2

Number of Lectures: 35

Number of Quizzes: 3

Number of Published Lectures: 35

Number of Published Quizzes: 3

Number of Curriculum Items: 41

Number of Published Curriculum Objects: 41

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Students will learn programming in the Python coding Language
Python Basics
Print statements
Datatypes
Variables
Input
Math Operators
Functions
Pygame / Graphics
If statements
Logical operators
Rational operators
Loops
Strings and Lists
Lambda
Intro to JSON
Date and Time
Intro to CSV
Intro to Machine Learning
Intro to GUI

Who Should Attend

Beginners who are seeking to have an introduction in Python

Target Audiences

Beginners who are seeking to have an introduction in Python

This course is an introductory level course to python, which is a high-level coding language used on a large scale today in society. We will be using Python 3 throughout this course and along side we will be using the PyCharm IDE by jetBeans as our editor. In this course, you will learn the fundamentals of python and be able to code programs in this language. It requires no previous knowledge of python or any coding concepts, as you will learn completely from scratch. You will begin the course by starting to create simple programs that you can build and run using python. Eventually, you will be able to create more complex programs that can complete simple tasks such as math or other user interactive programs. After learning the basics you will move on to more complex concepts. These concepts include working with strings and lists as well as concepts like Lambda and JSON In addition, we will also cover GUI, CSV, and intro to machine learning. Upon completion of this course, you can expect to have a base foundation in your knowledge of python. If you are seeking to learn python from scratch or improve upon existing knowledge of python then this course is for you.

In this course [An Introduction to Python] you will learn:

Print statements
Datatypes
variables
Input
Math Operators
Functions
Pygame / Graphics
If statements
Logical Operators
Rational Operators
Loops
Strings
Lists
Lambda
JSON
Date and Time
CSV
Intro to Machine Learning
Intro to Graphics User Interface

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installing Python / Setting up Code editor

Chapter 2: Fundamentals of Python

Lecture 1: Print Statements

Lecture 2: Escape Sequences

Lecture 3: Comments

Chapter 3: Variables, Data, and Math

Lecture 1: Datatypes

Lecture 2: Variables

Lecture 3: Input

Lecture 4: Math Operators

Chapter 4: Python Methods

Lecture 1: Functions

Lecture 2: Setting up Pygame

Lecture 3: Lines, Rectangles, Ellipses, and Circles

Lecture 4: Rounding

Chapter 5: Logics

Lecture 1: If, else, and elif statements

Lecture 2: Logical Operators

Lecture 3: Rational operators

Lecture 4: Nested Ifs

Chapter 6: Loops

Lecture 1: While loops and Accessing Digits

Lecture 2: For Loops

Lecture 3: Nested loops

Chapter 7: Strings and Lists

Lecture 1: Strings and Slicing

Lecture 2: String Methods

Lecture 3: Lists

Lecture 4: List Methods

Chapter 8: Python Extras

Lecture 1: Lambda Expressions

Lecture 2: Json (JavaScript Object Notation)

Lecture 3: Date and Time

Lecture 4: Intro to CSV (Comma Separated Values)

Chapter 9: Machine Learning

Lecture 1: Intro to Machine Learning

Lecture 2: Mean, Median, Mode, and Standard deviation

Lecture 3: Histograms and Gaussian Data distribution

Lecture 4: Scatter Plots

Lecture 5: Polynomial and Linear Regression

Chapter 10: GUI (Graphics User Interface)

Lecture 1: GUI notes (Please save to use with you)

Lecture 2: Introduction to GUI (Window, frames, buttons, labels, and entry fields)

Instructors

Advaith Gollapudi
Corporation of Education

Rating Distribution

1 stars: 0 votes
2 stars: 2 votes
3 stars: 27 votes
4 stars: 66 votes
5 stars: 50 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