সেরা পাইথন কোর্স

Course Overview
Python Setup
Python Object and Data Structure Basics
Python Comparison Operators
Python Statements
Methods and Functions
Milestone Project – 1
Object Oriented Programming
Modules and Packages
Errors and Exceptions Handling
Milestone Project – 2
Python Decorators
Python Generators
Advanced Python Modules
Web Scraping with Python
Working with Images with Python
Working with PDFs and Spreadsheet CSV Files
Emails with Python
Final Capstone Python Project
Advanced Python Objects and Data Structures
Bonus Material – Introduction to GUIs
APPENDIX: OLDER PYTHON 2 MATERIAL
BONUS SECTION: THANK YOU!

“Python Basics
Flow Control
Functions
Handling Errors with try/except
Writing a Complete Program: Guess the Number
Lists
Dictionaries
More About Strings
Running Programs from the Command Line
Regular Expressions
Files
Debugging
Web Scraping
Excel, Word, and PDF Documents
Email
GUI Automation”

Welcome to the course! Here we will help you get started in the best conditions.
——————– Part 1: Data Preprocessing ——————–
Data Preprocessing in Python
Data Preprocessing in R
——————– Part 2: Regression ——————–
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Support Vector Regression (SVR)
Decision Tree Regression
Random Forest Regression
Evaluating Regression Models Performance
Regression Model Selection in Python
Regression Model Selection in R
——————– Part 3: Classification ——————–
Logistic Regression
K-Nearest Neighbors (K-NN)
Support Vector Machine (SVM)
Kernel SVM
Naive Bayes
Decision Tree Classification
Random Forest Classification
Classification Model Selection in Python
Evaluating Classification Models Performance
——————– Part 4: Clustering ——————–
K-Means Clustering
Hierarchical Clustering
——————– Part 5: Association Rule Learning ——————–
Apriori
Eclat
——————– Part 6: Reinforcement Learning ——————–
Upper Confidence Bound (UCB)
Thompson Sampling
——————– Part 7: Natural Language Processing ——————–
——————– Part 8: Deep Learning ——————–
Artificial Neural Networks
Convolutional Neural Networks
——————– Part 9: Dimensionality Reduction ——————–
Principal Component Analysis (PCA)
Linear Discriminant Analysis (LDA)
Kernel PCA
——————– Part 10: Model Selection & Boosting ——————–
Model Selection
XGBoost
Bonus Lectures

“Day 1 – Beginner – Working with Variables in Python to Manage Data
Day 2 – Beginner – Understanding Data Types and How to Manipulate Strings
Day 3 – Beginner – Control Flow and Logical Operators
Day 4 – Beginner – Randomisation and Python Lists
Day 5 – Beginner – Python Loops
Day 6 – Beginner – Python Functions & Karel
Day 7 – Beginner – Hangman
Day 8 – Beginner – Function Parameters & Caesar Cipher
Day 9 – Beginner – Dictionaries, Nesting and the Secret Auction
Day 10 – Beginner – Functions with Outputs
Day 11 – Beginner – The Blackjack Capstone Project
Day 12 – Beginner – Scope & Number Guessing Game
Day 13 – Beginner – Debugging: How to Find and Fix Errors in your Code
Day 14 – Beginner – Higher Lower Game Project
Day 15 – Intermediate – Local Development Environment Setup & the Coffee Machine
Day 16 – Intermediate – Object Oriented Programming (OOP)
Day 17 – Intermediate – The Quiz Project & the Benefits of OOP
Day 18 – Intermediate – Turtle & the Graphical User Interface (GUI)
Day 19 – Intermediate – Instances, State and Higher Order Functions
Day 20 – Intermediate – Build the Snake Game Part 1: Animation & Coordinates
Day 21 – Intermediate – Build the Snake Game Part 2: Inheritance & List Slicing
Day 22 – Intermediate – Build Pong: The Famous Arcade Game
Day 23 – Intermediate – The Turtle Crossing Capstone Project
Day 24 – Intermediate – Files, Directories and Paths
Day 25 – Intermediate – Working with CSV Data and the Pandas Library
Day 26 – Intermediate – List Comprehension and the NATO Alphabet
Day 27 – Intermediate – Tkinter, *args, **kwargs and Creating GUI Programs
Day 28 – Intermediate – Tkinter, Dynamic Typing and the Pomodoro GUI Application
Day 29 – Intermediate – Building a Password Manager GUI App with Tkinter
Day 30 – Intermediate – Errors, Exceptions and JSON Data: Improving the Password
Day 31 – Intermediate – Flash Card App Capstone Project
Day 32 – Intermediate+ Send Email (smtplib) & Manage Dates (datetime)
Day 33 – Intermediate+ API Endpoints & API Parameters – ISS Overhead Notifier
Day 34 – Intermediate+ API Practice – Creating a GUI Quiz App
Day 35 – Intermediate+ Keys, Authentication & Environment Variables: Send SMS
Day 36 – Intermediate+ Stock Trading News Alert Project
Day 37 – Intermediate+ Habit Tracking Project: API Post Requests & Headers
Day 38 – Intermediate+ Workout Tracking Using Google Sheets
Day 39 – Intermediate+ Capstone Part 1: Flight Deal Finder
Day 40 – Intermediate+ Capstone Part 2: Flight Club
Day 41 – Web Foundation – Introduction to HTML
Day 42 – Web Foundation – Intermediate HTML
Day 43 – Web Foundation – Introduction to CSS
Day 44 – Web Foundation – Intermediate CSS
Day 45 – Intermediate+ Web Scraping with Beautiful Soup
Day 46 – Intermediate+ Create a Spotify Playlist using the Musical Time Machine
Day 47 – Intermediate+ Create an Automated Amazon Price Tracker
Day 48 – Intermediate+ Selenium Webdriver Browser and Game Playing Bot
Day 49 – Intermediate+ Automating Job Applications on LinkedIn
Day 50 – Intermediate+ Auto Tinder Swiping Bot
Day 51 – Intermediate+ Internet Speed Twitter Complaint Bot
Day 52 – Intermediate+ Instagram Follower Bot
Day 53 – Intermediate+ Web Scraping Capstone – Data Entry Job Automation
Day 54 – Intermediate+ Introduction to Web Development with Flask
Day 55 – Intermediate+ HTML & URL Parsing in Flask and the Higher Lower Game
Day 56 – Intermediate+ Rendering HTML/Static files and Using Website Templates
Day 57 – Intermediate+ Templating with Jinja in Flask Applications
Day 58 – Web Foundation Bootstrap
Day 59 – Advanced – Blog Capstone Project Part 2 – Adding Styling
Day 60 – Advanced – Make POST Requests with Flask and HTML Forms
Day 61 – Advanced – Building Advanced Forms with Flask-WTForms
Day 62 – Advanced – Flask, WTForms, Bootstrap and CSV – Coffee & Wifi Project
Day 63 – Advanced – Databases and with SQLite and SQLAlchemy
Day 64 – Advanced -My Top 10 Movies Website
Day 65 – Web Design School – How to Create a Website that People will Love
Day 66 – Advanced – Building Your Own API with RESTful Routing
Day 67 – Advanced – Blog Capstone Project Part 3 – RESTful Routing
Day 68 – Advanced – Authentication with Flask
Day 69 – Advanced – Blog Capstone Project Part 4 – Adding Users
Day 70 – Advanced – Deploying Your Web Application with Heroku
Day 71 – Advanced – Data Exploration with Pandas: College Major v.s. Your Salary
Day 72 – Advanced – Data Visualisation with Matplotlib: Programming Languages
Day 73 – Advanced – Aggregate & Merge Data with Pandas: Analyse the LEGO Dataset
Day 74 – Advanced – Google Trends Data: Resampling and Visualising Time Series
Day 75 – Advanced – Beautiful Plotly Charts & Analysing the Android App Store
Day 76 – Advanced – Computation with NumPy and N-Dimensional Arrays
Day 77 – Advanced – Linear Regression and Data Visualisation with Seaborn
Day 78 – Advanced – Analysing the Nobel Prize with Plotly, Matplotlib & Seaborn
Day 79 – Advanced – The Tragic Discovery of Handwashing: t-Tests & Distributions
Day 80 – Advanced – Capstone Project – Predict House Prices
Day 81 – Professional Portfolio Project – [Python Scripting]Day 82 – Professional Portfolio Project – [Python Web Development]Day 83 – Professional Portfolio Project – [Python Scripting]Day 84 – Professional Portfolio Project – [GUI]Day 85 – Professional Portfolio Project – [GUI]Day 86 – Professional Portfolio Project – [Game]Day 87 – Professional Portfolio Project – [Web Development]Day 88 – Professional Portfolio Project – [Web Development]Day 89 – Professional Portfolio Project – [GUI Desktop App]Day 90 – Professional Portfolio Project – [HTTP Requests & APIs]Day 91 – Professional Portfolio Project – [Image Processing & Data Science]Day 92 – Professional Portfolio Project – [Web Scraping]Day 93 – Professional Portfolio Project – [GUI Automation]Day 94 – Professional Portfolio Project – [Game]Day 95 – Professional Portfolio Project – [HTTP Requests & APIs]Day 96 – Professional Portfolio Project – [Web Development]Day 97 – Professional Portfolio Project – [Python Automation]Day 98 – Professional Portfolio Project – [Data Science]Day 99 – Professional Portfolio Project – [Data Science]Day 100 – Professional Portfolio Project – [Data Science]Final Stretch”

Course Introduction
Environment Set-Up
Jupyter Overview
Python Crash Course
Python for Data Analysis – NumPy
Python for Data Analysis – Pandas
Python for Data Analysis – Pandas Exercises
Python for Data Visualization – Matplotlib
Python for Data Visualization – Seaborn
Python for Data Visualization – Pandas Built-in Data Visualization
Python for Data Visualization – Plotly and Cufflinks
Python for Data Visualization – Geographical Plotting
Data Capstone Project
Introduction to Machine Learning
Linear Regression
Cross Validation and Bias-Variance Trade-Off
Logistic Regression
K Nearest Neighbors
Decision Trees and Random Forests
Support Vector Machines
K Means Clustering
Principal Component Analysis
Recommender Systems
Natural Language Processing
Neural Nets and Deep Learning
Big Data and Spark with Python
BONUS SECTION: THANK YOU!

“Course Introduction
Install and Setup
Stepping into the World of Python
Program Flow Control in Python
Lists and Tuples
Functions – An Introduction
Dictionaries and Sets
Reading and writing files in Python
Modules and Functions in Python
Object Oriented Python
Using Databases in Python
Generators, Comprehensions and the timeit module
Big O notation
Course Remaster in Progress
ARCHIVED-The Basics of Python
ARCHIVED-Program Flow Control in Python
ARCHIVED-Lists, Ranges & Tuples in Python
ARCHIVED-The Binary number system explained
ARCHIVED-Python Dictionaries and Sets
ARCHIVED-Input and Output (I/O) in Python
Extra Information – Source code, and other stuff
Bonus – Including Slides”

“Welcome
Getting Started with Python
The Basics: Data Types
The Basics: Operations with Data Types
The Basics: Functions and Conditionals
The Basics: Processing User Input
The Basics: Loops
Putting the Pieces Together: Building a Program
List Comprehensions
More About Functions
File Processing
Modules
Using Python with CSV, JSON, and Excel Files
Numerical and Scientific Computing with Python and Numpy
App 1: Web Mapping with Python: Interactive Mapping of Population and Volcanoes
Fixing Programming Errors
Image and Video Processing with Python
App 2: Controlling the Webcam and Detecting Objects
Interactive Data Visualization with Python and Bokeh
App 3 (Part 1): Data Analysis and Visualisation with Pandas and Matplotlib
App 3 (Part 2): Data Analysis and Visualization – in-Browser Interactive Plots
App 4: Web Development with Flask – Build a Personal Website
Building Desktop Graphical User Interfaces (GUI) with Python
Interacting with Databases
App 5: GUI Apps and SQL: Build a Book Inventory Desktop GUI Database App
Object-Oriented Programming (OOP)
App 6: Mobile App Development: Build a Feel-Good App
Making an Android APK File from the Kivy App
Web Scraping with Python & Beautiful Soup
App 7: Web Scraping – Scraping Properties for Sale from the Web
App 8: Flask and PostGreSQL – Build a Data Collector Web App
App 9: Django & Bootstrap Blog and Translator App
App 10: Build a Geography Web App with Flask and Pandas
Bonus Exercises
Bonus App: Building an English Thesaurus
Bonus App: Building a Website Blocker
Bonus App: Data Visualization Dashboard with Bokeh
Bonus Exercises
Conclusion”

Course Introduction
Front-End Introduction
HTML Level One – Basics
HTML Level Two – Advanced
CSS Level One – Basics
CSS Level Two – Advanced
Capstone Project One
Bootstrap Overview
Javascript Level One – Basics
Javascript Level Two
Document Object Model
jQuery
Back-End Introduction
Python – Level One
Python – Level Two
Django Level One – Basics
Django Level Two
Django Level Three
Django Level Four
Django Level Five
Django Deployment
Advanced Topics – CBVs
First Clone Project
Social Media Site Clone Project
Advanced Topics Lecture – Debug Toolbar
Advanced Topics – Customizing the Django Admin
BONUS SECTION: THANK YOU!

Introduction
Python Introduction
Python Basics
Python Basics II
Developer Environment
Advanced Python: Object Oriented Programming
Advanced Python: Functional Programming
Advanced Python: Decorators
Advanced Python: Error Handling
Advanced Python: Generators
Modules In Python
Debugging In Python
File I/O
Regular Expressions
Testing In Python
Career Of A Python Developer
Scripting with Python
Scraping Data with Python
Web Development with Python
Automation/Testing
Machine Learning + Data Science
Where To Go From Here?
Extra Bits
Appendix: HTML Forms
BONUS SECTION

“Course Introduction
Installing Python, Getting Started & A Top Secret Tip!
Simple Little Boxes – Variables in Python
The 123s – Numbers in Python
The ABCs – How to use Strings to handle text in Python
If This, then That: Logic and Conditional Flow in Python
Hold This For Me: Python Datastructures
Going Loopy – Loops In Python
Getting Funky – Functions in Python
OOPs! – Object Oriented Programming (OOP) in Python
So, What’s Next? + Resources”