Learn Python Programming Masterclass

Python Practical Training For Beginners 2021: Go From Basics To Advanced By Developing 6 Real Python Projects

Created by : Rated :4 798 views

Last Updated: 2022-11-10 05:11:40 English Course Type: Self Learning

Learn Python from Zero to Hero.
Fundamental understanding of the Python programming.
Learn to use Python professionally, learning both Python 2 and Python 3.
Learn advanced Python features, like collections, modules.
Learning all the basic topics, like conditional statements, looping, advanced operators
Understand how to use Data Structures, like Lists, Tuple, Set and Dictionary.
Get an understanding of how to create GUIs.
Developing 6 major projects including Face Recognition, Automate Weather Forecast and many such interesting projects.
Learn how to use Object Oriented Programming with classes.
Understand how to execute the .py programs with ATOM and Visual Studio.
Course includes Python Cheat Sheet

Welcome to Python Programming Bootcamp. One single course to start your Python Journey as a Fresher Step by Step. This course touches on each and every important concept of Python with latest version of Python 3.7, Python 3.8, and Python 3.9.
Learn one of employer's most requested skills of 2021!

Throughout the course, we will explore the most important Python Programming Features -

Basics of Python - Expressions, Variables, and Input Output Statements
Operators - Assignment Operators, Relational and Logical Operators, Short Hand Operators
Conditional Statements - If Else Statement, Nested If Else
Methods - Parameters, Passing Arguments, and Return Values
Complete Object Oriented Programming - Classes and Objects
OOPs Features - Encapsulation, Inheritance, and Abstract Classes.
Data Structures In depth - List, Set, Dictionary, and Tuples
Loops - For Loop, While Loop, Keywords: Break and Continue
Mutability and Immutability of Python Basic Types.
Built-in And User Defined Modules
Errors And Exception Handling with try except block - try, except, else, and finally.
Custom Exception - Raising Exception, Creating, and Raising a Custom Exception.
Python 3 Cheat sheet

Here are some projects that we will explore:

Face recognition with OpenCV in Python
Data Analysis With Pandas
Graphical User Interface Application with Tkinter
Password Generator with Random Module
Understanding the basics of Databases and Integrating Desktop Application with SQLite3 Database.
Automate Weather Forecast
Automated Web Scraper and Mailing System with BeautifulSoup

So basically we will work on 6 different Projects With OpenCV, Pandas, Tkinter, BeautifulSoup & more.

The main goal of this course is to learn programming by building projects.

Access to a computer with an internet connection.

Beginners who have never programmed before.
Programmers who are switching other programming languages to Python.
Programmers who want to level up their skills.

Section 1 : Python in 2021 2 Lectures 00:07:22
Lecture 1 :
Course Introduction Preview
Lecture 2 :
Welcome - Let's Get Started
Section 2 : Setup Installing Python 4 Lectures 00:22:09
Lecture 1 :
Python Programming - Is Python A Bubble
Lecture 2 :
Installing Python on Windows
Lecture 3 :
Python 3.9 Version Update
Lecture 4 :
Different Methods To Execute Python Codes
Section 3 : Writing our 1st Python Program 1 Lectures 00:04:19
Lecture 1 :
Variables and Python Memory Management
Section 4 : Datatypes in Python 5 Lectures 00:31:58
Lecture 1 :
Datatypes in Python
Lecture 2 :
Sequences in Python
Lecture 3 :
Sets, Dictionary
Lecture 4 :
Literals and Identifiers
Lecture 5 :
Reserve Words - You Can't Use Them!
Section 5 : Operators in Python 3 Lectures 00:23:24
Lecture 1 :
Operators Arithmetic, Assignment
Lecture 2 :
Operators Unary Minus, Relational, Logical, Boolean
Lecture 3 :
Understanding Escape Characters
Section 6 : Input and Output 6 Lectures 00:25:34
Lecture 1 :
Introduction to Input and Output Statements
Lecture 2 :
Output Statements
Lecture 3 :
Input Statements
Lecture 4 :
Python Built-in Functions and Built-in Module
Lecture 5 :
Practice Questions
Lecture 6 :
Solutions for Practice Questions
Section 7 : Integrated Development Environment (IDE) 3 Lectures 00:19:56
Lecture 1 :
Editor 1 - Working With ATOM
Lecture 2 :
Editor 2 - Working With VS Code
Lecture 3 :
Run .py file through System Terminal
Section 8 : Python Conditional Statements 5 Lectures 00:18:50
Lecture 1 :
Conditionals If, If ... Else and Indentation
Lecture 2 :
Conditionals If ... Else Statements With Operators
Lecture 3 :
Conditionals if... elif ... else Statements, Nested if Statements
Lecture 4 :
Practice Questions
Lecture 5 :
Solutions for Practice Questions
Section 9 : Loops in Python 6 Lectures 00:12:41
Lecture 1 :
While Loop
Lecture 2 :
For Loops - Part 1
Lecture 3 :
For Loops - Part 2
Lecture 4 :
Break and Continue Statements
Lecture 5 :
Practice Questions
Lecture 6 :
Solutions for Practice Questions
Section 10 : Strings and Characters 4 Lectures 00:17:53
Lecture 1 :
Comments and Doc Strings
Lecture 2 :
Diving Deep With Strings
Lecture 3 :
Practice Questions
Lecture 4 :
Solutions for Practice Questions
Section 11 : Lists, Tuples, and Dictionary 6 Lectures 00:29:16
Lecture 1 :
Diving Deep - List
Lecture 2 :
Diving Deep - Tuples
Lecture 3 :
Diving Deep - Dictionaries
Lecture 4 :
Indexing, Slicing, Negative Indexing
Lecture 5 :
Practice Questions
Lecture 6 :
Solutions for Practice Questions
Section 12 : Functions 6 Lectures 00:24:09
Lecture 1 :
What are Functions
Lecture 2 :
Parameters, Arguments, Return
Lecture 3 :
Formal and Actual Arguments (arg, *arg, **karg)
Lecture 4 :
Local and Global Variables
Lecture 5 :
Practice Questions
Lecture 6 :
Solutions for Practice Questions
Section 13 : Object Oriented Programming (OOP) 23 Lectures 01:57:05
Lecture 1 :
Introduction to Object Oriented Programming (OOP)
Lecture 2 :
Classes and Objects in Python (OOP)
Lecture 3 :
Understanding init() Method and _self _ Parameter
Lecture 4 :
Solving Task OOPS
Lecture 5 :
Defining Multiple Constructors in Python
Lecture 6 :
Encapsulation
Lecture 7 :
Public And Private Methods
Lecture 8 :
Inheritance
Lecture 9 :
Getter and Setter
Lecture 10 :
Creating And Importing Module
Lecture 11 :
Creating User Defined Module
Lecture 12 :
Multiple Inheritance
Lecture 13 :
Understanding super() Function [Part 1]
Lecture 14 :
Understanding super() Function [Part 2]
Lecture 15 :
Python Naming Convention (Classes, Variables, Functions, Methods ...)
Lecture 16 :
Composition
Lecture 17 :
Aggregation
Lecture 18 :
Abstract Classes
Lecture 19 :
Discussing Over import And from
Lecture 20 :
Operator Overloading [Part 1]
Lecture 21 :
Operator Overloading [Part 2]
Lecture 22 :
Practice Questions
Lecture 23 :
Solutions for Practice Questions
Section 14 : Object-Oriented Programming (Theory) 4 Lectures
Lecture 1 :
What Is Object-Oriented Programming (OOP)
Lecture 2 :
Classes and Objects in Python (OOP)
Lecture 3 :
Encapsulation in Python (OOP)
Lecture 4 :
Inheritance in Python (OOP)
Section 15 : Errors and Exception Handling 9 Lectures 00:31:45
Lecture 1 :
Errors - Types of Errors!
Lecture 2 :
Exceptions
Lecture 3 :
Exceptions Handling Introduction
Lecture 4 :
Exceptions Handling
Lecture 5 :
Try, Except, Else And Finally
Lecture 6 :
Raising Exception
Lecture 7 :
Creating User Defined Exception
Lecture 8 :
Practice Questions
Lecture 9 :
Solutions for Practice Questions
Section 16 : if __name__ == __main__ 1 Lectures 00:04:53
Lecture 1 :
if __name__ == __main__
Section 17 : Python I-O - File Handling 6 Lectures 00:17:04
Lecture 1 :
Creating Text File And Write Content
Lecture 2 :
Appending Files - 1 Solving Example - File Handling
Lecture 3 :
Appending Files - 2 Solving Example - File Handling
Lecture 4 :
How To Read Content From A File
Lecture 5 :
Practice Questions
Lecture 6 :
Solutions for Practice Questions
Section 18 : Python Package Management System 1 Lectures 00:09:15
Lecture 1 :
pip - PyPI for Managing Python packages
Section 19 : PROJECT-1 _ Face Detection 4 Lectures 00:16:14
Lecture 1 :
What is OpenCV
Lecture 2 :
OpenCV Face Detection With Python
Lecture 3 :
Detecting _Elon Musk_ And _Mark Zuckerberg_ Faces
Lecture 4 :
Detecting Faces Of All Images In The Folder
Section 20 : PROJECT-2 _ Password Generator 3 Lectures 00:21:32
Lecture 1 :
Random Module
Lecture 2 :
Random Password Generator
Lecture 3 :
Readable Password Generator
Section 21 : PROJECT-3 _ Data Analysis With Pandas 11 Lectures 01:05:42
Lecture 1 :
What is Pandas
Lecture 2 :
Starting With Pandas And iPython
Lecture 3 :
Working with Jupyter Notebooks
Lecture 4 :
Important Jupyter Notebook Commands
Lecture 5 :
Working with CSV, Excel, TXT and JSON Files
Lecture 6 :
Working with CSV, Excel, TXT and JSON Files
Lecture 7 :
Working with API Response
Lecture 8 :
Indexing and Slicing Dataframe Tables [Part 1]
Lecture 9 :
Indexing and Slicing Dataframe Tables [Part 2]
Lecture 10 :
Deleting Columns and Rows
Lecture 11 :
Adding and Updating new Columns and Rows
Section 22 : PROJECT-4.1 _ Building GUI Portfolio APP with TKinter 9 Lectures 00:42:16
Lecture 1 :
GUI Introduction - Graphical User Interface
Lecture 2 :
Understanding 3 Steps Tkinter Working
Lecture 3 :
Tkinter Main Window and Labels
Lecture 4 :
Application Formatting - Adding Header
Lecture 5 :
Application Formatting - Adding More Data
Lecture 6 :
Application Formatting - Improving User Interface
Lecture 7 :
Color Indication For Profit and Loss
Lecture 8 :
Adding Update Button
Lecture 9 :
Creating Executable App (.exe file)
Section 23 : PROJECT-4.2 _ Understanding Database Basics (SQLite3) 8 Lectures 00:26:34
Lecture 1 :
Databases - SQL vs SQLite3
Lecture 2 :
Introduction to SQLite3 and its Workings
Lecture 3 :
Creating Table Working with DB Browser
Lecture 4 :
Insert Values - Databases
Lecture 5 :
Update Values - Databases
Lecture 6 :
Fetching Data From Database
Lecture 7 :
Delete Data - Database
Lecture 8 :
Creating Functions For Operation - Database
Section 24 : PROJECT-4.3 _ TKinter GUI Application with SQLite3 Database 8 Lectures 00:40:47
Lecture 1 :
Connecting With Database
Lecture 2 :
Fetching Data From Database
Lecture 3 :
Modifying Current Application
Lecture 4 :
Adding Add Coin Button
Lecture 5 :
Adding Update Coin - Delete Coin Button
Lecture 6 :
Solving Multiple Layer Issue
Lecture 7 :
Adding Notification System - Popup Box
Lecture 8 :
Adding Navigation System - Menu Bar
Section 25 : PROJECT-5 _ Building Web Scrapping Bot With Python 18 Lectures 00:41:55
Lecture 1 :
Project Introduction - Web Scraping Bot
Lecture 2 :
Project Demo - Web Scraping Bot
Lecture 3 :
How Do We Scrape Data
Lecture 4 :
Web Scraping - Overview
Lecture 5 :
Project Setup and Installing Libraries
Lecture 6 :
Working With BeautifulSoup
Lecture 7 :
Filtering Required Data
Lecture 8 :
Extracting Current Price
Lecture 9 :
Extracting Table Content - I
Lecture 10 :
Extracting Table Content - II
Lecture 11 :
Extracting All Stock Result
Lecture 12 :
Working with Static File
Lecture 13 :
Storing Stock Content in CSV File
Lecture 14 :
Sending Text Mail Through SMTPLIB
Lecture 15 :
Sending Text Mail Through Email Module
Lecture 16 :
Sending Attachment Through Email Module
Lecture 17 :
Integrating Mail System with Web Scraper
Lecture 18 :
File Name According To Today's Date
Section 26 : PROJECT-6 _ Automate Weather Forecast 10 Lectures 01:10:41
Lecture 1 :
Project Introduction
Lecture 2 :
OpenWeatherMap API
Lecture 3 :
Working With API Data
Lecture 4 :
Working With Pillow Library
Lecture 5 :
Adding Content Date and Time
Lecture 6 :
Adding Content Multiple City Position
Lecture 7 :
Adding Content Multiple City Data
Lecture 8 :
Adding Content Multiple Country Data
Lecture 9 :
Saving Post as PNG and PDF
Lecture 10 :
Exercise Automate For Stories
Section 27 : Need to Know _ What_s New Python 3.8 _ 1 Lectures 00:15:01
Lecture 1 :
3 Updates Python 3.8
Section 28 : Need to Know _ What_s New With Python 3.9 _ 4 Lectures 00:25:17
Lecture 1 :
Union Operators
Lecture 2 :
Type Hinting
Lecture 3 :
New String Class Methods
Lecture 4 :
Native Time Support (Zoneinfo)
Section 29 : Python Cheat Sheet 1 Lectures
Lecture 1 :
Python Cheat Sheet

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Vikram Singh,

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Vikram currently working in Bengaluru with 4 Yrs of experience in US Based MNC firm, role as Sr. Technical Analyst. Experienced in Python. Vikram completed his M.Tech (Gold Medalist) in Computer Science at University of Mysore (Karnataka, INDIA). He successfully completed 1200+ projects on Fiverr and Freelancer. Vikram has taught programming to over 24,000 students online and offline as an Instructor. He has mastered explaining complex topics in the simplest manner that is easy to understand and follow. Enroll now and I will see you inside the course!