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$29
  • 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, PandasTkinter, 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.
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  • Section 1 : Python in 2021 2 Lectures 00:07:22

    • Lecture 1 :
    • 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 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!
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