Python 3 Complete Course 2022

[LeeAndro]

Published 10/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.71 GB | Duration: 7h 45m

A great course to get started on python programming

What you'll learn

skills required for a Python developer
learn complete Python 3
learn how to install and set up Python
learn how to use PyCharm IDE
learn Python in 8 interesting sections
Build Strong Foundation in Python
Requirements

interest in learning Python programming

Bner level knowledge on any programming language

Description
Hello and thank you for viewing this course on Udemy.​

This course is on Python 3. In this course I will teach Python from bner to intermediate level. Please go through below points to get a brief summary of this course,· We will start our journey by introducing the course and Python to you. Then we will see how to install the software required for this course. Then we will learn how to import code from GitHub.· In the second section we will learn basics of Python. We will write our first program in Python and we will cover syntax, structure, comments and variables.· In the third section we will learn datatypes in Python which will cover Numbers, Strings, Sets, Lists, Tuples, Booleans and Dictionaries.· Fourth section will cover Python Operators and Control statements. We will learn how to use if and else blocks. Also we will learn how to write loops in Python.· In the fifth section we will learn some of the core features inn Python such as List and Dictionary Comprehensions, args, kwargs and lambda expressions.· In the sixth section we will learn Object oriented programming in Python. We will understand how to create classes and objects. Also we will understand Inheritance in Python and Dunder/Magic methods.· In the seventh section we will learn more core features which include modules, packages, import, file handling, Exception handling , Iterators, Generators and Decorators.· In the final section we will understand collections module and various additional data structures in Python. We will conclude our course with a course conclusion.I hope you gone through all the above topics and got a brief summary of what you are going to learn in this course. So what are you waiting for Please Enroll to this course and start learning Python.
Overview

Section 1: Introduction

Lecture 1 Introduction to course

Lecture 2 Introduction to Python

Lecture 3 software for this course

Lecture 4 Importing source code for all examples

Lecture 5 PyCharm IDE Tips and tricks

Section 2: Python basics

Lecture 6 Writing the first Python program

Lecture 7 Python Syntax and Structure

Lecture 8 Comments in Python

Lecture 9 Variables in Python

Lecture 10 Python Keywords

Section 3: Datatypes in Python

Lecture 11 Numbers in Python

Lecture 12 Booleans in Python

Lecture 13 Python Strings and its methods

Lecture 14 Lists in Python

Lecture 15 Tuples in Python

Lecture 16 Sets in Python

Lecture 17 Dictionaries in Python

Section 4: Python Operators and Control statements

Lecture 18 Python Operators part 1

Lecture 19 Python Operators part 2

Lecture 20 If, else and elif

Lecture 21 Loops in Python

Lecture 22 Branching statements

Section 5: Python Core Features

Lecture 23 List Comprehension

Lecture 24 Dictionary Comprehension

Lecture 25 Args in Python

Lecture 26 Kwargs in Python

Lecture 27 Lambda Functions

Section 6: Object Oriented Programming in Python

Lecture 28 Objects and classes in Python

Lecture 29 The _init_ function

Lecture 30 Self Parameter in Python

Lecture 31 Inheritance in Python

Lecture 32 Magic or Dunder Methods in Python

Section 7: More core features in Python

Lecture 33 Modules and Packages in Python

Lecture 34 File handling in Python

Lecture 35 Exception handling in Python

Lecture 36 Regular Expressions in Python

Lecture 37 Python Iterators

Lecture 38 Python Generators

Lecture 39 Decorators in Python

Section 8: Collections module and advanced data structures

Lecture 40 Counter in Python

Lecture 41 Named tuple in Python

Lecture 42 Ordered Dict in Python

Lecture 43 Advanced methods in Tuples, Sets, Lists and Dictionaries

Lecture 44 Date in Python

Lecture 45 Math module in Python

Lecture 46 Concluding Remarks

Everyone interested in Programming

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