HOME > Development > Python for Beginners Learn Programming from scratch

Python for Beginners Learn Programming from scratch

  • Development
  • May 08, 2025
SynopsisPython for Beginners – Learn Programming from scratch,...
Python for Beginners Learn Programming from scratch  No.1

Python for Beginners – Learn Programming from scratch, available at $64.99, has an average rating of 4.5, with 131 lectures, based on 2828 reviews, and has 10206 subscribers.

You will learn about To learn the python language To learn the CORE skills to understand any programming language This course is ideal for individuals who are Student totally new to programming or Student totally new to python It is particularly useful for Student totally new to programming or Student totally new to python.

Enroll now: Python for Beginners – Learn Programming from scratch

Summary

Title: Python for Beginners – Learn Programming from scratch

Price: $64.99

Average Rating: 4.5

Number of Lectures: 131

Number of Published Lectures: 130

Number of Curriculum Items: 131

Number of Published Curriculum Objects: 130

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

  • To learn the python language
  • To learn the CORE skills to understand any programming language
  • Who Should Attend

  • Student totally new to programming
  • Student totally new to python
  • Target Audiences

  • Student totally new to programming
  • Student totally new to python
  • NEW PYTHON CODE锟?/strong>

    This python for beginners course is geared to students who want to know how python works and also to those totally new to programming.

    The python language has very simple syntax(way to write it) to learn and it is one of the most powerful languages to learn since it can used for a variety of things.

    Here are some:

    1. Data analysis
    2. Game development
    3. Visualization
    4. Web development
    5. Robotics
    6. and more.

    Jobs in this field are really lucrative and knowing this language will give you an edge when finding a job and making a lot more money than other developers; python developers are not as many as in other languages since people think is hard. Python is super easy to learn but very powerful since it contains many possibilities.

    Python is growing faster and faster everyday and it has surpassed many other languages over the years for a lot of reasons, which you will find out soon enough.

    Why take this course?

    This course starts with explaining what programming really is? Have you ever wondered how things actually work in a program?

    1. Teaches the foundation of GENERAL programming

    Every student should have some foundations on what programming really is before learning any language, why? Because once you understand the core components of programming it will be a lot easier to learn any language and create better programs.

    2. New lectures added all the time

    When you like what you do, it reflects. This is not a job for me, so I wake up wanting to code and help my students. Basically you pay once, get the course forever and get extra values added all the time, you have to love that 馃檪

    3. Fun place to be

    I love making my lectures fun and engaging, so no boring lectures here!

    4. The support you get in this course in unmatched

    have you ever joined a class and received very little support or none at all? Well that is not going to happen in this class, because I love helping my students.

    Course Curriculum

    Chapter 1: Programming fundamentals – Lets get some Theory

    Lecture 1: Introduction

    Lecture 2: What is programming?

    Lecture 3: What is Python?

    Lecture 4: What is source code?

    Lecture 5: New – Different Types of Languages

    Lecture 6: Compile VS Interpreted Languages

    Lecture 7: Strings and numbers

    Lecture 8: Variables

    Lecture 9: Lists, Arrays or Collections

    Lecture 10: Conditional Code – If statements

    Lecture 11: Loops

    Lecture 12: Functions

    Chapter 2: The Big Picture – Examples Of Different Languages

    Lecture 1: Intro

    Lecture 2: Javascript Example

    Lecture 3: Browsers and back-end languages

    Lecture 4: PHP Example

    Lecture 5: Program CLIs / executables

    Lecture 6: Python Example

    Chapter 3: WIndows OS – Python setup

    Lecture 1: Introduction of the command line / terminal

    Lecture 2: Editor install

    Lecture 3: Python install

    Chapter 4: MAC OS – Python setup

    Lecture 1: Introduction of the command line / terminal

    Lecture 2: Editor install

    Lecture 3: Python install

    Chapter 5: Ubuntu OS – Python setup

    Lecture 1: Introduction of the command line / terminal

    Lecture 2: Editor install

    Lecture 3: Code Editor extensions

    Lecture 4: Python install

    Lecture 5: Different ways of running Python scripts

    Chapter 6: Getting Started with Python

    Lecture 1: Running Python IDLE and online

    Lecture 2: Show hidden file extensions (OPTIONAL)

    Lecture 3: VS editor clean output setup

    Chapter 7: Python Basics – The Practical Approach – Fundamentals

    Lecture 1: Intro to python basics

    Lecture 2: Exercise files

    Lecture 3: Datatypes / strings

    Lecture 4: Comments

    Lecture 5: Numbers / Math

    Lecture 6: Variables

    Lecture 7: Constants

    Lecture 8: Lists

    Lecture 9: Tuples

    Lecture 10: Dictionaries

    Lecture 11: Booleans

    Lecture 12: Sets

    Lecture 13: Data casting

    Chapter 8: UPDATED – Conditional structures – Fundamentals

    Lecture 1: intro to conditional code

    Lecture 2: If Statements

    Lecture 3: Loops

    Lecture 4: Break and Continue

    Chapter 9: UPDATED – Functions – Fundamentals

    Lecture 1: intro to functions

    Lecture 2: Defining a function

    Lecture 3: Functions with arguments

    Lecture 4: Function variable scopes

    Lecture 5: Unlimited arguments

    Lecture 6: A better way to display data

    Lecture 7: Default data

    Lecture 8: Function return

    Lecture 9: Lambda functions

    Lecture 10: Unpacking

    Lecture 11: Built in functions

    Lecture 12: Built-in function with examples

    Chapter 10: New – Python Classes / Objects – Intermediate

    Lecture 1: Defining a class and object

    Lecture 2: Methods

    Lecture 3: Modifying a class when returning string data

    Lecture 4: Inheritance

    Chapter 11: New – Working with Strings – Intermediate

    Lecture 1: Modulo part 1

    Lecture 2: Modulo part 2

    Lecture 3: STR Method

    Lecture 4: F – Strings

    Chapter 12: NEW – Working with files

    Lecture 1: Intro – Reading

    Lecture 2: Writing

    Lecture 3: with keyword and exceptions

    Lecture 4: Using modules to do more

    Chapter 13: NEW – Working with files – JSON

    Lecture 1: Intro

    Lecture 2: Reading JSON files

    Lecture 3: From JSON to Objects and from Objects to JSON

    Lecture 4: Writing data to JSON files

    Lecture 5: Handling nested data and updates

    Chapter 14: New – Modules – Intermediate

    Lecture 1: Creating a module

    Lecture 2: Creating a custom Module – Post Class – part 1

    Lecture 3: Creating a custom Module – Post Class – part 2

    Lecture 4: Creating a custom Module – Post Class – part 3

    Chapter 15: New – Modules – Intermediate – Dates – Program

    Lecture 1: Date

    Lecture 2: Using DOCS and Python Shell

    Lecture 3: Days to an even program part 1

    Instructors

  • Python for Beginners Learn Programming from scratch  No.2
    Edwin Diaz
    Web Developer & Premium Instructor – 800,000 students
  • Python for Beginners Learn Programming from scratch  No.3
    Coding Faculty Solutions
    Coding Faculty
  • Rating Distribution

  • 1 stars: 36 votes
  • 2 stars: 63 votes
  • 3 stars: 401 votes
  • 4 stars: 1085 votes
  • 5 stars: 1243 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!