Extensive Python Fundamentals In 4 Weeks

Free Download Extensive Python Fundamentals In 4 Weeks
Published 4/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 15.83 GB | Duration: 43h 19m
Python Basics, Python Control Flow, Python Dates, Python Functions, Python Object Oriented Programming, Python Modules

Free Download What you’ll learn
Gain Complete understanding of Python from the ground up!
Learn how to Leverage the power of python to solve problem
Learn to use Object Oriented Programming in Python with use cases
Learn and understand Complex Topics Like Decorators, Magic Module etc
Learn how to start projects in Python and put pieces together
Learn Python Fundamentals from the Zero to Mastery
Requirements
No Programming experience. All you need is a computer with internet connection and the willingness to learn
Description
This training provides students with Fundamentals of Python that will enable the students to get off the ground and begin to write comprehensive python code in the shortest time possible. This training is for beginners who want to get off the ground quickly. The explanations of the concepts are straightforward to grasp and understand. The training is structured in a way that would make it easy for anyone taking it to understand. It is structured to be taken in 4 weeks. However, you don’t have to follow the four-week structure if you are a fast learner. This training is 100% practical. There is no PowerPoint presentation. Every explanation and definition of the concepts are done in the code. This is a deviation from the norm. Topics such as Python Identifiers and Keywords, Python Statements, Indentation and comment, Python Variables and Constants, Python Operators, Python Literals, Python Data Types, Python Type Conversion, Python Data Structures, Python Input and Output, and Python Import Statement, Python DateTime Function, Python Control Flow, are extensively discussed and explained.Furthermore, you will learn how to handle files, debug your code in the event of any error, and prevent users of your code from making mistakes or showing them error they cannot understand. All these experiences will then be combined to gain an extensive understanding of Python Object Oriented Programming. By the time you are done with this training, you would have become a Professional Python Developer.
Overview
Section 1: Week 0 – Welcome and Onboarding
Lecture 1 Welcome and Introduction
Lecture 2 Tools for the Training
Lecture 3 Python Installation
Lecture 4 Anaconda Installation
Lecture 5 Opening Jupyter And Jupyter Folder
Lecture 6 How to use Jupyter Notebook
Lecture 7 Join the Telegram Channel
Section 2: Week 1 – Python Fundamentals
Lecture 8 Python Identifiers and Keywords
Lecture 9 Description of Keywords in Python Part1
Lecture 10 Description of Keywords in Python Part2
Lecture 11 Description of Keywords in Python Part3
Lecture 12 Python Statements Indentation Comments Help
Lecture 13 Python Variables and Constant Part 1
Lecture 14 Python Variables and Constant Part 2
Lecture 15 Python Operators
Lecture 16 Python Literals
Lecture 17 Python Data Types Part 1
Lecture 18 Python Data Types Part 2
Lecture 19 Python Data Types Part 3
Lecture 20 Python Data Types Part 4
Lecture 21 Python Types Conversion
Lecture 22 Python Data Structures Part 1
Lecture 23 Python Data Structures Part 2
Lecture 24 Python Data Structures Part 3
Lecture 25 Python Data Structures Part 4
Lecture 26 Python Data Structures Part 5
Lecture 27 Python Data Structures Part 6
Lecture 28 Python Data Structures Part 7
Lecture 29 Python Data Structures Part 8
Lecture 30 Python Data Structures Part 9
Lecture 31 Python Data Structures Part 10
Lecture 32 Python Data Structures Part 11
Lecture 33 Python Data Structures Part 12
Lecture 34 Python Data Structures Part 13
Lecture 35 Python Data Structures Part 14
Lecture 36 Python Data Structures Part 15
Lecture 37 Python Data Structures Part 16
Lecture 38 Python Data Structures Part 17
Lecture 39 Python Data Structures Part 18
Lecture 40 Python Data Structures Part 19
Lecture 41 Python Data Structures Part 20
Lecture 42 Python Data Structures Part 21
Lecture 43 Python Data Structures Part 22
Lecture 44 Python Data Structures Part 23
Lecture 45 Python Data Structures Part 24
Lecture 46 Python Input Output Part 1
Lecture 47 Python Input Output Part 2
Lecture 48 Python Input Output Part 3
Lecture 49 Python Input Output Part 4
Lecture 50 Python Module Import
Lecture 51 Python Namespace and Scope Part 1
Lecture 52 Python Namespace and Scope Part 2
Section 3: Week 2 – Dates/Control-Flow/Functions/Object-Oriented-Programming
Lecture 53 Python DateTime Part 1
Lecture 54 Python DateTime Part 2
Lecture 55 Python Control Flow Introduction
Lecture 56 Python Control Flow: If-Statement
Lecture 57 Python Control Flow: If-Else-Statement
Lecture 58 Python Control Flow-If-Elif-Else-Statement
Lecture 59 Python Control Flow: Nested-If-Statement
Lecture 60 Python Control Flow: For-Loop Part 1
Lecture 61 Python Control Flow:For-Loop Part 2
Lecture 62 Python Control Flow:For-Loop Part 3
Lecture 63 Python Control Flow:For-Loop Part 4
Lecture 64 Python Control Flow:For-Loop Part 5
Lecture 65 Python Control Flow:For-Loop Part 6
Lecture 66 Python Control Flow:For-Loop Part 7
Lecture 67 Python Control Flow:For-Loop Part 8
Lecture 68 Python Control Flow:For-Loop Part 9
Lecture 69 Python Control Flow:For-Loop Part 10
Lecture 70 Python Control Flow:For-Loop Part 11
Lecture 71 Python Control Flow: While-Loop Part 1
Lecture 72 Python Control Flow: While-Loop Part 2
Lecture 73 Python Control Flow: While-Loop Part 3
Lecture 74 Python Control Flow: While-Loop Part 4
Lecture 75 Python Control Flow: While-Loop Part 5
Lecture 76 Python Control Flow: While-Loop Part 6
Lecture 77 Python Control Flow: While-Loop Part 7
Lecture 78 Python Control Flow Control Statement: Break Part 1
Lecture 79 Python Control Flow Control Statement: Break Part 2
Lecture 80 PythonControl Flow Control Statement: Continue-Statement
Lecture 81 Python Control Flow Control Statement: Pass-Statement
Lecture 82 Python Function Introduction
Lecture 83 Python Function Basics Part 1
Lecture 84 Python Function Basics Part 2
Lecture 85 Python Function Basics Part 3
Lecture 86 Python Function Basics Part 4
Lecture 87 Python Function Basics Part 5
Lecture 88 Python Function Global Local Non-Local Part 1
Lecture 89 Python Function Global Local Non-Local Part 2
Lecture 90 Python Global keyword
Lecture 91 Python Function Argument and Parameter Part 1
Lecture 92 Python Function Argument and Parameter Part 2
Lecture 93 Python Function Recursion
Lecture 94 Python Lambda Function Part 1
Lecture 95 Python Lambda Function Part 2
Lecture 96 Python Module
Lecture 97 Python Random Module
Lecture 98 Python Math Module
Lecture 99 Python Packages
Lecture 100 Python User Defined Function
Lecture 101 Python Doc Strings
Lecture 102 Object Oriented Programming Part 1
Lecture 103 Object Oriented Programming Part 2
Lecture 104 Object Oriented Programming Part 3
Lecture 105 Object Oriented Programming Part 4
Lecture 106 Object Oriented Programming Part 5
Lecture 107 Object Oriented Programming Part 6
Lecture 108 Object Oriented Programming Part 7
Lecture 109 Object Oriented Programming Part 8
Lecture 110 Object Oriented Programming Part 9
Lecture 111 Object Oriented Programming Part 10
Lecture 112 Object Oriented Programming Part 11
Lecture 113 Object Oriented Programming Part 12
Lecture 114 Object Oriented Programming Part 13
Lecture 115 Object Oriented Programming Part 14
Lecture 116 Object Oriented Programming Part 15
Section 4: Week 3 – File Handling and Error Handling in Python
Lecture 117 File handling in Python Part 1
Lecture 118 File handling in Python Part 2
Lecture 119 File handling in Python Part 3
Lecture 120 File handling in Python Part 4
Lecture 121 File handling in Python Part 5
Lecture 122 File handling in Python Part 6
Lecture 123 Error and Exception handling in Python Part 1
Lecture 124 Error and Exception handling in Python Part 2
Lecture 125 Error and Exception handling in Python Part 3
Section 5: Week 4 – Project Implementation
Lecture 126 Introduction of Project Implementation
Lecture 127 Project Implementation Bank Management System Part 1
Lecture 128 Project Implementation: Bank Management System Part 2
Lecture 129 Project Implementation: Bank Management System Part 3
Lecture 130 Project Implementation: Bank Management System Part 4
Lecture 131 Project Implementation: Car Rental Management System Part 1
Lecture 132 Project Implementation: Car Rental Management System Part 2
Lecture 133 Project Implementation: Car Rental Management System Part 3
Lecture 134 Project Implementation: Car Rental Management System Part 4
Lecture 135 Project Implementation: Car Rental Management System Part 5
Lecture 136 Final Project and Where to From Here
Beginner, a novice who wants to dive into Python and become a professional in no time

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