Python 3 Complete Course 2022

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Posted on 28 Oct 15:43 | by mitsumi | 17 views

Python 3 Complete Course 2022
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