Lecture 1: What is OOP and Why? . .[FREE CLASS]. . - betterskill.io

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DEMO CLASS: [ক্লিক করে দেখে নিন কোর্সের ডেমো ক্লাসগুলো]

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Demo Class 1: Build a Simple Calculator Using Python Function

Demo Class 2: How to Define Views in Django

Demo Class 3: Dataset Visualization and Plotting Graphs

Module 1: Introduction to Python (Beginner Friendly)

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Lecture 1: Installing Python and IDEs (PyCharm, VSCode, Jupyter) . .[FREE CLASS]. .

Lecture 2: Variables and Data Types . .[FREE CLASS]. .

Lecture 3: Typecasting and Conversion

Lecture 4: Conditional Statements: if, elif, else

Lecture 5: Loops: for and while

Lecture 6: Functions & Reusability

Lecture 7: Data Structures

Python Cheat Sheet

Project: Build a Number Guessing Game

Project: Build a Simple Calculator Using Python Function

Support: Join the WhatsApp group to get any help from instructor

Module 2: Core Python Concepts

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Lecture 1: Lists, Tuples, Sets, Dictionaries (with use-cases), List Comprehensions . .[FREE CLASS]. .

Lecture 2: String Operations and Formatting . .[FREE CLASS]. .

Lecture 3: Functions (parameters, return, scope)

Lecture 4: Recursion Basics

Lecture 5: Lambda Functions & map(), filter(), reduce()

Lecture 6: Error Handling (try, except, finally)

Lecture 7: File I/O: Reading & Writing Files (Part 1)

Lecture 8: File I/O: Reading & Writing Files (Part 2)

Lecture 9: File I/O: Reading & Writing Files (Part 3)

Module 3: Project- Build A Student Record Management System

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Build A Student Record Management System (Part 1) . .[FREE CLASS]. .

Build A Student Record Management System (Part 2)

Build A Student Record Management System (Part 3)

Build A Student Record Management System (Part 4)

Module 4: Data Structures & Algorithms in Python

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Lecture 1: Stack . .[FREE CLASS]. .

Lecture 2: Queues (Part 1)

Lecture 3: Queue (Part 2)

Lecture 4: Linked List (Part 1)

Lecture 5: Linked list (Part 2)

Lecture 6: Binary tree (Part 1)

Lecture 7: Binary tree (Part 2)

Lecture 8: Trees

Lecture 9: Hash Maps (Dictionaries)

Lecture 10: Searching Algo

Lecture 11: Bubble Sort

Lecture 12: Merge Sort (Part 1)

Lecture 13: Merge Sort (Part 2)

Lecture 14: Quick Sort

Lecture 15: Selection Sort

Module 5: Project- Build A Student Contact Manager System

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Build A Student Contact Manager System (Part 1)

Build A Student Contact Manager System (Part 2)

Build A Student Contact Manager System (Part 3)

Module 6: Object-Oriented Programming (OOP) in Python

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Lecture 1: What is OOP and Why? . .[FREE CLASS]. .

Lecture 2: Classes & Objects (Part 1)

Lecture 3: Classes & Objects (Part 2)

Lecture 4: Classes & Objects (Part 3)

Lecture 5: Inheritence

Lecture 6: Abstract

Lecture 7: Polymorphism

Lecture 8: Encapsulation

Lecture 9: Multiple Inheritence

Lecture 10: Super Class

Module 7: Project- Build A Library Management System

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Build A Library Management System (Part 1)

Build A Library Management System (Part 2)

Module 8: Advanced Python Concepts and File Handling

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Lecture 1: Type Hinting

Lecture 2: Aggregation and Composition (Part 1)

Lecture 3: Aggregation and Composition (Part 2)

Lecture 4: Magic Methods

Lecture 5: Decorator (Part 1)

Lecture 6: Decorator (Part 2)

Lecture 7: Generator

Lecture 8: Working with csv file

Lecture 9: Working with json file (Part 1)

Lecture 10: Working with json file (Part 2)

Module 9: GUI Programming with PyQt5

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Lecture 1: Introduction of PyQt5

Lecture 2: PyQt5 installation

Lecture 3: Basic Window

Lecture 4: Icon and Label

Lecture 5: Image (Part 1)

Lecture 6: Image (Part 2)

Lecture 7: Layouts

Lecture 8: Push Button (Part 1)

Lecture 9: Push Button (Part 2)

Lecture 10: Checkbox (Part 1)

Lecture 11: Checkbox (Part 2)

Lecture 12: Radio Button

Lecture 13: Text Box Widget

Module 10: Project- Build A “To Do List App” Using PyQt5

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Build A “To Do List” App Using PyQt5 (Part 1)

Build A “To Do List” App Using PyQt5 (Part 2)

Build A “To Do List” App Using PyQt5 (Part 3)

Module 11: Project- Build A “Expense Tracker” Desktop App

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Build a “Expense Tracker” Desktop App (Part 1)

Build a “Expense Tracker” Desktop App (Part 2)

Build a “Expense Tracker” Desktop App (Part 3)

Build a “Expense Tracker” Desktop App (Part 4)

Build a “Expense Tracker” Desktop App (Part 5)

Build a “Expense Tracker” Desktop App (Part 6)

Module 12: Project- Build A “Rock Paper Scissors ” Game

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Build A “Rock Paper Scissors” Game (Part 1)

Build A “Rock Paper Scissors” Game (Part 2)

Build A “Rock Paper Scissors” Game (Part 3)

Module 13: Project- Build A “Password Generator” App

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Build A “Password Generator” App

Module 14: Project- Build An “ATM System” App

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Build An “ATM System” App (part 1)

Build An “ATM System” App (part 2)

Build An “ATM System” App (part 3)

Build An “ATM System” App (part 4)

Build An “ATM System” App (part 5)

Module 15: Django Web-Development

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Lecture 1: Introduction to Web Development with Django

Lecture 2: How to Download VsCode

Lecture 3: Setting up Virtual Environment and Installing Django (Part 1)

Lecture 4: Setting up Virtual Environment and Installing Django (Part 2)

Lecture 5: How to Create a Django App

Lecture 6: Libraries vs Frameworks MVT Architecture

Lecture 7: How to Write Views in Django

Lecture 8: How to Define Views in Django

Lecture 9: Request and Response Object

Lecture 10: How to Create Models

Lecture 11: How to Create Forms

Lecture 12: Django Admin Panel

Lecture 13: Form Populate from Django Admin Panel

Lecture 14: How to Create Templates

Lecture 15: Rendering (Part 1)

Lecture 16: Rendering (Part 2)

Lecture 17: Django ORM

Module 16: Project- Build A User Registration System

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Lecture 1: User Registration Project

Lecture 2: Creating URLs for Authentication View (Part 1)

Lecture 3: Creating URLs for Authentication View (Part 2)

Lecture 4: Creating Login and Signup Templates

Lecture 5: Protecting Home View (Part 1)

Lecture 6: Protecting Home View (Part 2)

Lecture 7: Adding Styles (Part 1)

Lecture 8: Adding Styles (Part 2)

Module 17: Machine Learning & Data Science

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Lecture 1: Introduction to Machine Learning

Lecture 2: Types of Machine Learning

Lecture 3: Machine Learning Pipeline

Lecture 4: Environment Setup

Lecture 5: Downloading Dataset

Lecture 6: Import Dataset and Visualize

Lecture 7: Dataset Visualization and Plotting Graphs

Lecture 8: Introduction to Data Science

Lecture 9: Introduction to Pandas Dataframes and Series

Lecture 10: Import & Export Data

Lecture 11: Data Exploration Functions

Lecture 12: Statistical Functions & Plotting

Lecture 13: Accessing Individual Data

Lecture 14: Data Manipulation

Lecture 15: Cleaning Data

Module 18: Project – Build A Movie Recommendation System

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Lecture 1: Real World Project

Lecture 2: Importing Dataset

Lecture 3: Preprosessing Data

Lecture 4: Model Creation and Training

Lecture 5: Prediction

Lecture 6: Splitting the Dataset

Lecture 7: Calculating Accuracy Score

Module 19: Course Wrap Up, Roadmap & Next Steps

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Course Wrap Up, Roadmap & Next Steps

Complete Python Course: Pyqt5, Django, Data Science & Machine Learning

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