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    Python 3 Complete Course

    Posted By: ELK1nG
    Python 3 Complete Course

    Python 3 Complete Course
    Published 10/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: 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

    Beginner 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 beginner 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 Download 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 Time in Python

    Lecture 45 Math module in Python

    Lecture 46 Concluding Remarks

    Everyone interested in Programming