Learn programming from scratch with Python

Learn programming from scratch with Python, available at $39.99, has an average rating of 4.35, with 135 lectures, based on 95 reviews, and has 13631 subscribers.

You will learn about software programming and coding Program software with Python know how to develop software in Python This course is ideal for individuals who are Future software developers or Data Analysts or Software project managers or Software architects It is particularly useful for Future software developers or Data Analysts or Software project managers or Software architects.

Enroll now: Learn programming from scratch with Python

Summary

Title: Learn programming from scratch with Python

Price: $39.99

Average Rating: 4.35

Number of Lectures: 135

Number of Published Lectures: 135

Number of Curriculum Items: 135

Number of Published Curriculum Objects: 135

Original Price: $94.99

Quality Status: approved

Status: Live

What You Will Learn

software programming and coding

Program software with Python

know how to develop software in Python

Who Should Attend

Future software developers

Data Analysts

Software project managers

Software architects

Target Audiences

Future software developers

Data Analysts

Software project managers

Software architects

Whether you are an experienced programmer or not, this course is intended for everyone who wishes to learn the Pythonprogramming language.

This course outlines the process from learning the basis of programming with Python and start writing your own code.

Python is a powerful general-purpose programming language

It is used in web development, data science, creating software prototypes, and so on.

It is so powerful and easy that it is recommended to whom wants to start learning software programming even with no experience and knowledge.

In this course students will learn:

How to install and run Python on your computer and write your first Python program

keywords (reserved words in Python) and identifiers (names given to variables, functions, etc.)

Python statements, why indentation is important and use of comments in programming

Python variables, constants, literals and their use cases

Type conversionand uses of type conversion

Python Operators

Python Namespaces

print()and input()to perform I/O tasksin Python

Python Data Types(Python Numbers, Python List, Python Tuple, Python String, Python Set, Python Dictionary)

Flow Control (IF Statements, Loops – For, While,…)

Functions(Function Argument, Python Recursion, Anonymous Function, Global, Local and Nonlocal, Python Global Keyword, Python Modules,Python Package)

Manage Files (Python File Operation, Python Directory, Python Exception, Exception Handling, User-defined Exception)

Python Object Oriented Programming (OOP)(Python OOP, Python Objects & Classes, Python Inheritance, Multiple Inheritance, Encapsulation, Polymorphism, Operator Overloading)

Advanced Functionalities(Python Iterator, Python Generator, Python Closure, Python Decorators, Python Property, Python RegEx, Serialization, Special Functions)

Data Science Applications(Numpy, Pandas)

Everything enriched by exercises, applications and special bonuses to learn how to write optimized software code

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Why You Want To Learn Programming?

Lecture 3: Pick a Programming Language To Learn

Lecture 4: Why should you pick up and learn Python

Lecture 5: Learn In Small Chunks

Lecture 6: Start At The Beginning

Lecture 7: Learn and Teach

Lecture 8: Do not give up

Lecture 9: Should I learn programming if I don’t want to be a programmer?

Chapter 2: Get Started With Python

Lecture 1: Start with Thonny IDE

Lecture 2: Install Python

Lecture 3: Run Python in Immediate mode

Lecture 4: Run Python in the Integrated Development Environment (IDE)

Lecture 5: A first Python Program

Chapter 3: Python – Introduction

Lecture 1: Python Keywords

Lecture 2: Statements & Comments

Lecture 3: Docstrings

Lecture 4: Python Variables & Constants

Lecture 5: Python Literals

Lecture 6: Python Datatypes

Lecture 7: Python Type Conversion (I)

Lecture 8: Python Type Conversion (II)

Lecture 9: Python I/O: print

Lecture 10: Python I/O: input

Lecture 11: Python Import

Lecture 12: Python Operators

Lecture 13: Python Namespace (I)

Lecture 14: Python Namespace (II)

Lecture 15: Python Namespace (III)

Lecture 16: Python Namespace (IV)

Chapter 4: Python Flow Control

Lecture 1: Python ifelse (I)

Lecture 2: Python ifelse (Ii)

Lecture 3: Python ifelse (III)

Lecture 4: Python ifelse (IV)

Lecture 5: Python for Loop

Lecture 6: Python while Loop

Lecture 7: Python break and continue

Lecture 8: Python Pass

Chapter 5: Python Functions

Lecture 1: Python Functions

Lecture 2: Function Argument

Lecture 3: Python Recursion

Lecture 4: Anonymous Function

Lecture 5: Python Global, Local and Nonlocal variables

Lecture 6: Python Global Keyword

Lecture 7: Python Modules

Lecture 8: Python Package

Chapter 6: Python Datatypes

Lecture 1: Python Numbers

Lecture 2: Python List (I)

Lecture 3: Python List (II)

Lecture 4: Python Tuple (I)

Lecture 5: Python Tuple (II)

Lecture 6: Python String (I)

Lecture 7: Python String (II)

Lecture 8: Python String (III)

Lecture 9: Python String (IV)

Lecture 10: Python Set (I)

Lecture 11: Python Set (II)

Lecture 12: Python Dictionary

Chapter 7: Python Files

Lecture 1: Python File Operation (I)

Lecture 2: Python File Operation (II)

Lecture 3: Python Directory

Lecture 4: Python Exception

Lecture 5: Python Exception Handling (I)

Lecture 6: Python Exception Handling (II)

Lecture 7: Python Exception Handling (III)

Lecture 8: Python Exception Handling (IV)

Lecture 9: Python User-defined Exception

Chapter 8: Python OOP

Lecture 1: Python OOP

Lecture 2: Python OOP: Classes and Objects (I)

Lecture 3: Python OOP: Classes and Objects (II)

Lecture 4: Python OPP: Classes: definition

Lecture 5: Python OPP: Classes: initialization (I)

Lecture 6: Python OPP: Classes: initialization (II)

Lecture 7: Python OOP: inheritance (I)

Lecture 8: Python OOP: inheritance (II)

Lecture 9: Pythin OOP: Multiple Inheritance

Lecture 10: Python OOP: encapsulation

Lecture 11: Python OOP: polymorphism

Lecture 12: Operator Overloading (I)

Lecture 13: Operator Overloading (II)

Lecture 14: Operator Overloading (III)

Chapter 9: Python Advanced Topics

Lecture 1: Python Iterator

Lecture 2: Python Custom Iterator

Lecture 3: Python Infinite Iterators

Lecture 4: Python Generator

Lecture 5: Python Generator Expressions

Lecture 6: Advantages of using Generators

Lecture 7: Python Closure

Lecture 8: Python Decorators

Lecture 9: Python Decorators: decorators with parameters

Lecture 10: Python Decorators: chaning decorators

Instructors

Daniele Protti
Project Manager and Software Architect

Rating Distribution

1 stars: 3 votes

2 stars: 5 votes

3 stars: 18 votes

4 stars: 29 votes

5 stars: 40 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!