Learn complete python with basics, data science, data visualisation, desktop graphical applications and python for web.

What you will learn

Complete Python.

Python basics like data-types, loops, decision-makings, file handling, libraries, modules, date-times etc.

Terminal based programming applications using Python.

Artificial intelligent Python game.

Python for desktop applications and GUI programming.

Creating desktop applications using Tkinter with Python.

Using databases using Python.

Turtle graphics for creating graphical applications and motion using Python

Real working 5+ graphical games using Python.

Use of keyboard keys to move objects in your applications and in games using python

learn to build smart calculators and dictionaries using python.

Datascience and data visualisation using python.

data visualisation using Matplotlib in python.

data visualisation using Seaborn in python.

data visualisation using pandas in python.

data visualisation using poorly and cufflinks in python.

data analysis using Numpy and pandas in python.

geoplotting using python.

learn to build an automatic plotter for data visualisation.

learn to build big data analysis project with more than 60million + data using python.

basemaps using python.


Are you tired of getting videos and lectures on just python basics and syntaxes or just strucked in college studies and hello world program. so I guess you have to give a try to this course this course is designed after analysing what a student need to study python. After analysing what they required and what they want in a course, how they can easily start any course but didn’t able to finish it. Now let me explain you how so this course is designed including all fields of python and for keeping the interest until the last there are actually working games as projects so that no one get bored and with that everything explained is designed in very simple and easy way. just after completing the course I guarantee that every single of you will be able to develop any kind of application using python. you will learn to create desktop applications and even controlling objects by using keyboard which I guess most of you already want to learn and also python for data science in which you will learn to create even globe maps. Now let me explain some of few topics you are going to cover-

1.Python for graphical applications.

2.Tkinter – for building desktop applications and actually user interface.

3.Turtle graphics – for learning graphical design using python and to learn controlling objects in computer using keyboard.

4.Databases – for learning that how you can store the data of your games, apps and programs.

5.Python for datascience.

6.Numpy – Learn to create data in form of datasets and analysing data using python.

7.Pandas – To create data frames and analyse them and to visualise data in form of 3-D graphs and 2-D graphs.

8.Matplotlib – To create data visualisations.

9.Seaborn – To create animated plots.

10.Plotly and cufflinks – To create interactive plots.

11.Geographical plotting – To create global scale plots.

12.Python date and time functions.

13.File handling

14.Controll objects using keys.

15.Creating infinite graphical designs.

16.Functions and methods in python

17.Loops and conditionals.

18.Basics and datatypes in python.

What you are going to build in this course(Better if you see in the preview videos):

1.Caterpillar game with proper interface and keyboard control.

2.Smart calculator – Did not need to add symbols just give numbers and ask for any operation.

3.Your own routine database application with proper intrface.

4.An egg catcher game with graphical interface and keyboard control.

5.your own screen pet with gestures.

6.Match maker project.

7.Robot graphics.

8.Kaliedo spiral and modified kaleidoscope spiral(graphical design).

9.An automatic data plotter with more than 30 Types of plots.

10.A geographical baseman plot.

11.Big data analysis project(more than 60+ million data).

12.Artificial inteligent Tic Tac Toe(play against computer).

13.A Dictionary.

14.Hangmen game.

15.Dice rolling simulator.





Introduction to course

Learning by building

Why learn python?

What’s in the course?

What’s after section 2?

Any doubt and types of program ?

Installing Python on Mac

Introduction to this module

Installing Python on Mac

Installing Atom on Mac

Installing Anaconda and Jupyter notebooks

Editors link

Installing Python on windows

Introduction to this module

Installing Python3

Installing Atom

Atom editor

Installing Anaconda

Editors link

Section-1 Basic Python


Data types

Introduction to this module

Variables and constants


Operations on Numbers

Dynamic typing and restricitons on data types



Methods and strings

Indexing and slicing

String formatting





Data types notes

Data-types quiz


Introduction to this module

Arithmetic Operators

Assignment Operators

Comparison Operators

Logical Operators

Identity and Membership Operators

Operators Notes

Operators quiz

Which editor is best for you

Introduction to this module

Working on Atom

Working on jupyter notebooks

How to learn Programming

Functions and Methods

Introduction to this module

User input


Concept of funtions

Functions and user inputs


Convertors using function

Modifying function


Function Notes

Method notes

Errors in python

Introduction to this module

Types of errors

Syntex error

Indentation error

Type error

Name error

Zero division error

Index error

Attribute error

Handling errors and internet

Error notes

Decision making

Introduction to this module

If-else conditions

el-if condition

Little fun with conditionals

Multiple conditions

Nested conditions

Conditionals notes


Introduction to this module

for loop

loops and user input

while loop

Looping through a string

Break statement

Continue statement

Range() function

Else in for loop

Nested loops

Loops notes

Date and Time

Introduction to this module

Python dates

Date output and date objects

strf time() method

Date and Time notes

File handling

Introduction to this module

Opening and reading the file

Writing in a file


Different methods

File handling notes


Introduction to this module



Json files

Libraries notes

Project-1 Dice rolling stimulator

Introduction to this module

How to solve the problem

Dice overview


How to get the Number

What about the dice

Roll it again

Dice stimulator

Dice stimulator code

Project-2 Dictionary

Introduction to this module

Dictionary overview

Where to get the data

Loading the data in our program

Main logic

What if the word doesn’t exist

Pugger found some errors

Pugger said what about the interface

It’s all about the interface

Pugger have another issue

How to get the close matches

Upgrading the program to get the close matches


dictionary code

data json

Project-3 Hangman game

Introduction to this module

Hangman overview

Algorithm for hangman

User interface

Creating the world’s list

Rules and regulation

Main logic

Hanging the man

Our third program

Hangman code

Project-4 Tic Tac Toe

Introduction to this module

What is AI

Project overview

Understanding problem and writing algorithm

Designing the board

Space on board

141.How to get winner

Player move

AI computer move

Random function

Defining the main logic

Preparing interface

Tic Tac Toe

Tic Tac Toe code

Section-2 Python for data science and data visualisation


What is Datascience?


Introduction to this module

Numpy declaring

Methods for Numpy

Indexing and slicing

Spilicing 2-D matrix and conditional selection

Operations on numpy

Numpy Documentation

Numpy quiz


Introduction to this module


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Creating and deleting rows and column in dataframe

Acessing elements in dataframe

Conditional acessing

Missing data

Analysing data using groupby




More operations

Loading data using pandas

Pandas documentation


Introduction to this module

Matplotlib getting started


Types of plots


Object oriented plots

Multiple plots

Subplots using object oriented

Figure size

Setting labels with object oriented technique

Stylling plots


Setting limits

Matplotlib documentation


Introduction to this module

Tips.csv file


Categories of plots

Point plots

Distribution plots

Pair plots

Categorial plots

Categorial plots part-2

Matrix plots


Seaborn documentation

Pandas inbuilt data visualisation

Introduction to this module


Creating dataframes

Point plots

Line plots

Distribution plots



Pandas inbuilt data visualisation documentation

Plotly and cufflinks

Introduction to this module

Loading plotly and cufflinks

Point plots

Surface plots

Figure plots

Cufflinks documentation

Geographical plottings

Introduction to this module



Basic geographical plotting

Plot with big data

Global scale plot

Geographical plottings documentation

Project-5 Plotter

Introduction to this module

Project overview

Setting up things

Creating data

Plot interface and main function

Plotting all data

Plotting 1 column

Plotting 2 and 3 columns


plotter code file

Project-6 Geographical plot using folium

Introduction to this module

Creating basic webmap

Adding child

Multiple markers

Plotting volcanoes

Polygen view

US Cities population

Colourful markers

Jeoplot code file

Volcano.csv file

World.json file

US cities population.csv file

Project-7 School donation analysis

Introduction to this module

Overview of project

Setup libraries and load data

Describing data

Merging data

First analysis

Basic mathematical analysis

High donations

Various relationships

Project type and total donations


Time objects

Mean timings

Average time per state

Fast and slow funding

School donation analysis code file

Donations.csv file

Donors.csv file

Projects.csv file

Resources.csv file



Section-3 GUI programming

Section-3 GUI programming

What is GUI programming?


Introduction to this module

Tkinter basics and creating window

Tkinter notes


Buttons notes


Canvas notes

Check button and radio button

check button notes

Radio button notes

Content widgets

Entry notes

Text notes

Window configuration widgets

Frame notes

Listbox notes

Toplevel notes

Message box notes

Menu and menu button

Menu button notes

Creating menu notes

Scroll widgets

Spinbox notes

Paned window

Paned window notes

Geometry methods

Attributes notes

Geometry methods


Introduction to this module

What is Database

Installing postgreSQL

PostgreSQL download link

Creating table in sqlite3

Creating table in postgreSQL

Inserting data

Visualising data

Deleting tha data

Updating data

databases documentation

Turtle graphics

Introduction to this module

Turtle graphics basics

Creating figures

Creating the robot


Some changes in robot


Kaleido spiral


Modified kaleido spiral


Moving turtle


Turtle graphics documentation

Project-8 Caterpillar game

Introduction to this module

Overview of project

Defining turtles

Outside window and placing leaf

Game over and displaying score

Start game

Defining moves


Project-9 Matchmaker

Introduction to this module

Overview of project

Window and libraries

Adding symbols

Defining buttons

Showing symbol


Project-10 Screen pet

Introduction to this module

Overview of project

Creating body, eyes and ears

Creating mouth tongue and cheeks

Toggle and Blink eyes

Cheeky face

Happy face

Sad face

Screen pet


Project-11 Smart calculator

Introduction to this module

Overview of project

Front end

Math operations

Operations list


Smart calculator

smart calculator.py

Project-12 Your own database system

Introduction to this module

Overview of project

Labels and entries

Entries, listbox and scrollbar


Defining backend

Search function in backend

Searching and viewing data



Your own database




Project-13 Egg catcher game

Introduction to this module

Overview of the project

Creating window

Egg and catcher

Other inteface items

Create and move eggs

Dropping and losing a life

Catch and get score

Moving with keys

Running egg catcher

egg catcher.py


End of the course

Time to say goodbye! for now