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What you'll learn?
- Complete Python
- Terminal based programming applications using Python
- Artificial intelligent Python game
- Python basics like data-types, loops, decision-makings, file handling, libraries, modules, date-times etc.
- Creating desktop applications using Tkinter with Python
- Real working 5+ graphical games using Python
- Use of keyboard keys to move objects in your applications and in games using python
- Data-Science and Data-Visualisation using python
- Learn to build big data analysis project with more than 60 million + data using python
- Learn to build an automatic plotter for data visualisation
- Learn to build smart calculators and dictionaries using python
- Turtle graphics for creating graphical applications and motion using Python
- Geo-Plotting using python
Course Overview
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.
Pre-requisites
- Just will to learn and achieve great things.
Target Audience
- Everyone who want to learn Python or who so ever are interested in learning Python from basics up to advanced level as well.
- This course proves to be the Best for Python Beginners or those having small grip on Python language to enhance or widen their skills.
Curriculum 375 Lectures 30:04:57
-
Section 1 : Introduction to Python3 Complete Bootcamp
- Lecture 2 :
- Learning by building
- Lecture 3 :
- Why learn Python?
- Lecture 4 :
- What's inside the course?
- Lecture 5 :
- What's after the Section - 2
- Lecture 6 :
- Any doubts & various types of program
-
Section 2 : Installing Python on Mac
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Installing Python on Mac
- Lecture 3 :
- Installing Atom on Mac
- Lecture 4 :
- Installing Anaconda on Mac
- Lecture 5 :
- Editor links
-
Section 3 : Installing Python on Windows
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Installing Python on Windows
- Lecture 3 :
- Installing Atom on Windows
- Lecture 4 :
- Atom_Setup
- Lecture 5 :
- Installing Anaconda on Windows
- Lecture 6 :
- Editor links
-
Section 4 : Section-1
- Lecture 1 :
- Section-1.html
-
Section 5 : Data Types in Python
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Variables & Constants
- Lecture 3 :
- Numbers
- Lecture 4 :
- Operation on numbers
- Lecture 5 :
- Dynamic typing & restrictions on data type
- Lecture 6 :
- Casting
- Lecture 7 :
- Strings
- Lecture 8 :
- Methods & Strings
- Lecture 9 :
- Indexing & Slicing
- Lecture 10 :
- String formatting
- Lecture 11 :
- Lists
- Lecture 12 :
- Tuples
- Lecture 13 :
- Dictionary
- Lecture 14 :
- Booleans
- Lecture 15 :
- Notes for Data_Types
-
Section 6 : Operators
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Arithmatic Operators
- Lecture 3 :
- Assignment Operators
- Lecture 4 :
- Comparison Operators
- Lecture 5 :
- Identity & Membership Operators
- Lecture 6 :
- Bitwise Operators
- Lecture 7 :
- Logical Operators
- Lecture 8 :
- Notes for Operators
-
Section 7 : Which Editor is the best?
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Working on Atom
- Lecture 3 :
- Working on Jupyter notebooks
- Lecture 4 :
- How to learn programming?
-
Section 8 : Functions & Methods
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- User input
- Lecture 3 :
- Convertors
- Lecture 4 :
- Concept of Functions
- Lecture 5 :
- Functions & User input
- Lecture 6 :
- Parameters
- Lecture 7 :
- Convertors using Functions
- Lecture 8 :
- Modifying Functions
- Lecture 9 :
- Methods
- Lecture 10 :
- Notes for Functions
- Lecture 11 :
- Notes for Methods
-
Section 9 : Errors
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Types of Error
- Lecture 3 :
- Syntax Error
- Lecture 4 :
- Indentation Error
- Lecture 5 :
- Type Error
- Lecture 6 :
- Zero Division Error
- Lecture 7 :
- Name Error
- Lecture 8 :
- Index Error
- Lecture 9 :
- Attribute & Runtime Error
- Lecture 10 :
- Handling Errors & the Internet
- Lecture 11 :
- Notes for Errors
-
Section 10 : Decision Making
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- If-Else Conditions
- Lecture 3 :
- El-if conditions
- Lecture 4 :
- Little fun using Conditions
- Lecture 5 :
- Multiple Conditions
- Lecture 6 :
- Nested Conditions
- Lecture 7 :
- if-else.html
-
Section 11 : Loops
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- For Loop
- Lecture 3 :
- Loops & user input
- Lecture 4 :
- Looping through a string
- Lecture 5 :
- While Loop
- Lecture 6 :
- Break Satatement
- Lecture 7 :
- Continue Statement
- Lecture 8 :
- Else in for loop
- Lecture 9 :
- Nested Loops
- Lecture 10 :
- Range Function()
- Lecture 11 :
- Notes for Loops
-
Section 12 : Date & Time
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Python Dates
- Lecture 3 :
- Date output & Date Objects
- Lecture 4 :
- Strf time() method
- Lecture 5 :
- Date & Time.html
-
Section 13 : File Handling
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Opening & Reading the File
- Lecture 3 :
- Writing in the file
- Lecture 4 :
- Appending
- Lecture 5 :
- Different Methods
- Lecture 6 :
- File_handling.html
-
Section 14 : Libraries
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Libraries
- Lecture 3 :
- Modules
- Lecture 4 :
- Json files
- Lecture 5 :
- Libraries.html
-
Section 15 : Project-1 : Dice Rolling Stimulator
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- How to solve the problem ?
- Lecture 3 :
- Dice Overview
- Lecture 4 :
- Algorithm
- Lecture 5 :
- How to get the numbers ?
- Lecture 6 :
- What about the Dice ?
- Lecture 7 :
- Rolling it again
- Lecture 8 :
- Dice Stimulator.py file
- Lecture 9 :
- Dice Stimulator
-
Section 16 : Project-2: Dictionary
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Dictionary Overview
- Lecture 3 :
- Where to get the data ?
- Lecture 4 :
- Main logic
- Lecture 5 :
- What if the word doesn't exist ?
- Lecture 6 :
- Pugger found some Errors
- Lecture 7 :
- Pugger said what about interface ?
- Lecture 8 :
- It's all about the interface
- Lecture 9 :
- Pugger having another issue
- Lecture 10 :
- How to get the close matches ?
- Lecture 11 :
- Upgrading the program to get the closed match
- Lecture 12 :
- Dictionary
- Lecture 13 :
- Dictionary.py
- Lecture 14 :
- Data.json
- Lecture 15 :
- Loading the data in our program
-
Section 17 : Project-3: The Hangman Game
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Hangman Game Overview
- Lecture 3 :
- Algorithm for this game
- Lecture 4 :
- User interface
- Lecture 5 :
- Creating the words' list
- Lecture 6 :
- Rules & Regulations
- Lecture 7 :
- Main logic
- Lecture 8 :
- Hanging the man
- Lecture 9 :
- Our 3rd Program
- Lecture 10 :
- Hangman.py
-
Section 18 : Project-4: AI Tic-Tac-Toe {Main Project}
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- What is AI ?
- Lecture 3 :
- Project Overview
- Lecture 4 :
- Understanding Problem & writing algorithm
- Lecture 5 :
- Designing the Board
- Lecture 6 :
- Space on the Board
- Lecture 7 :
- How to get the Winner ?
- Lecture 8 :
- Player Move
- Lecture 9 :
- AI computer Move
- Lecture 10 :
- Random function
- Lecture 11 :
- Defining the main logic
- Lecture 12 :
- Preparing the interface
- Lecture 13 :
- Tic-Tac-Toe
- Lecture 14 :
- Tic-Tac-Toe.py
-
Section 19 : Section - 2
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- What is Data Science ?
-
Section 20 : Numpy
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Numpy Declaring
- Lecture 3 :
- Methods for Numpy
- Lecture 4 :
- Indexing & Slicing
- Lecture 5 :
- Slicing 2-D matrix & conditional selection
- Lecture 6 :
- Operations on Numpy
- Lecture 7 :
- Notes for Numpy
-
Section 21 : Pandas
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Series
- Lecture 3 :
- Dataframes
- Lecture 4 :
- Creating & deleting row & column in Dataframe
- Lecture 5 :
- Accessing the elements in data-frame
- Lecture 6 :
- Conditional Accessing
- Lecture 7 :
- Missing data
- Lecture 8 :
- Analysing the data using group-by
- Lecture 9 :
- Joining
- Lecture 10 :
- Concatinating
- Lecture 11 :
- Merging
- Lecture 12 :
- More Operations
- Lecture 13 :
- Loading data using Pandas
- Lecture 14 :
- Notes
-
Section 22 : Matplotlib
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Matplotlib getting started
- Lecture 3 :
- Subplots
- Lecture 4 :
- Types of Plots
- Lecture 5 :
- Legends
- Lecture 6 :
- Object oriented plots
- Lecture 7 :
- Multiple plots
- Lecture 8 :
- Subplot using oriented techniques
- Lecture 9 :
- Figure size
- Lecture 10 :
- Styling new plots
- Lecture 11 :
- Markups
- Lecture 12 :
- Setting Limits
- Lecture 13 :
- Notes
-
Section 23 : Sea-Born
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- tips.csv
- Lecture 3 :
- iris.csv
- Lecture 4 :
- Categories of the plots
- Lecture 5 :
- Points plot
- Lecture 6 :
- Distribution plot
- Lecture 7 :
- Pairplot
- Lecture 8 :
- Categorial plot -A
- Lecture 9 :
- Categorial plot -B
- Lecture 10 :
- Matrix plot
- Lecture 11 :
- Grids
- Lecture 12 :
- Notes
-
Section 24 : Pandas In-build Data Visualisation
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- ece.csv
- Lecture 3 :
- tips.csv
- Lecture 4 :
- Creating Dataframes
- Lecture 5 :
- Point plots
- Lecture 6 :
- Distribution plots
- Lecture 7 :
- Line plots
- Lecture 8 :
- Notes
-
Section 25 : Plotly & Cufflinks
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Loading Plotly & Cufflinks
- Lecture 3 :
- Point Plots
- Lecture 4 :
- Surface Plots
- Lecture 5 :
- Figure Plots
- Lecture 6 :
- Cufflinks_documentation.html
-
Section 26 : Geographical Plotting
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- agri.csv
- Lecture 3 :
- Gdp.csv
- Lecture 4 :
- Basic Geographical Plot
- Lecture 5 :
- Plot with the Big Data
- Lecture 6 :
- Global Scale Plot
- Lecture 7 :
- Geographical_Ploting.html
-
Section 27 : Project-5: Plotter
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Project Overview
- Lecture 3 :
- Setting up Things
- Lecture 4 :
- Creating the Data
- Lecture 5 :
- Plot interface & main function
- Lecture 6 :
- Plotting all Data
- Lecture 7 :
- Plotting 1 column
- Lecture 8 :
- Plotting 2 & 3 column
- Lecture 9 :
- Plotter
- Lecture 10 :
- Plotter.html
-
Section 28 : Project-6: Geographical Plot using Folium
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Creating basic Webmap
- Lecture 3 :
- Adding child
- Lecture 4 :
- Multiple Markers
- Lecture 5 :
- Plotting Volcanoes
- Lecture 6 :
- Polygen View
- Lecture 7 :
- Us Cities Population
- Lecture 8 :
- Colorful Markers
- Lecture 9 :
- Geo_Plot.html
- Lecture 10 :
- Volcano.csv
- Lecture 11 :
- Us_Cities.csv
- Lecture 12 :
- World.json file
-
Section 29 : Project-7: School Donation Analysis
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Project Overview
- Lecture 3 :
- Setup libraries & load data
- Lecture 4 :
- Describing Data
- Lecture 5 :
- Merging Data
- Lecture 6 :
- First analysis
- Lecture 7 :
- Basic mathematical analysis
- Lecture 8 :
- High donations
- Lecture 9 :
- Various Relationship
- Lecture 10 :
- Project types & total donations
- Lecture 11 :
- Subcategorial
- Lecture 12 :
- Time objects
- Lecture 13 :
- Mean timings
- Lecture 14 :
- Average time per state
- Lecture 15 :
- Fast & Slow funding
- Lecture 16 :
- School donation analysis.html
- Lecture 17 :
- Donations.csv.zip
- Lecture 18 :
- Donars.csv.zip
- Lecture 19 :
- Project.csv.zip
- Lecture 20 :
- Resources.csv.zip
- Lecture 21 :
- Schools.csv.zip
- Lecture 22 :
- Teachers.csv.zip
-
Section 30 : Section - 3
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- What is GUI Programming?
-
Section 31 : Tkinter
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Tkinter basics & creating window
- Lecture 3 :
- Tkinter intro notes.html
- Lecture 4 :
- Buttons
- Lecture 5 :
- Buttons.html
- Lecture 6 :
- Canvas
- Lecture 7 :
- Canvas.html
- Lecture 8 :
- Check button & Radio button
- Lecture 9 :
- Check_Button.html
- Lecture 10 :
- Radio_Button.html
- Lecture 11 :
- Content Widgits
- Lecture 12 :
- Entry.html notes
- Lecture 13 :
- Text.html notes
- Lecture 14 :
- Window configuration widgits
- Lecture 15 :
- Frame_notes.html
- Lecture 16 :
- Listbox.html notes
- Lecture 17 :
- Toplevel.html notes
- Lecture 18 :
- Messagebox.html
- Lecture 19 :
- Menu & Menu Button
- Lecture 20 :
- Menu_Button Notes.html
- Lecture 21 :
- Creating menu notes.html
- Lecture 22 :
- Scroll Widgits
- Lecture 23 :
- Spinbox.html notes
- Lecture 24 :
- Paned Window
- Lecture 25 :
- Geometry Methods
- Lecture 26 :
- Paned_Window.html
- Lecture 27 :
- Attributes.html notes
- Lecture 28 :
- Geometry_Methods.html notes
-
Section 32 : Databases
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- What is Database?
- Lecture 3 :
- Installing PostgreSQL
- Lecture 4 :
- PostgreSQL download link.html
- Lecture 5 :
- Creating table in sqlite3
- Lecture 6 :
- Creating table in PostgreSQL
- Lecture 7 :
- Inserting Data
- Lecture 8 :
- Visualising the Data
- Lecture 9 :
- Deleting the Data
- Lecture 10 :
- Updating data
- Lecture 11 :
- Database_Documentation.html
-
Section 33 : Turtle Graphics
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Turtle graphics basics
- Lecture 3 :
- Creating figures
- Lecture 4 :
- Creating the robot
- Lecture 5 :
- Robot.py
- Lecture 6 :
- Modified robot
- Lecture 7 :
- Modified robot.py
- Lecture 8 :
- Kaleido-spiral
- Lecture 9 :
- Kaleido-spiral.py
- Lecture 10 :
- Modified Kaleido-spiral
- Lecture 11 :
- Modified Kaleido-spiral.py
- Lecture 12 :
- Moving Turtle
- Lecture 13 :
- Moving Turtle.py
- Lecture 14 :
- Turtle graphics documentation.html
-
Section 34 : Project-8: The Caterpillar Game
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Project Overview
- Lecture 3 :
- Defining turtles
- Lecture 4 :
- Outside window & place leaf
- Lecture 5 :
- Game over & display score
- Lecture 6 :
- Start game
- Lecture 7 :
- Defining moves
- Lecture 8 :
- Caterpillar.py
-
Section 35 : Project-9: Matchmaker
- Lecture 1 :
- Showing symbols
- Lecture 2 :
- Introduction to this module
- Lecture 3 :
- Project Overview
- Lecture 4 :
- Window & libraries
- Lecture 5 :
- Adding symbols
- Lecture 6 :
- Defining Buttons
- Lecture 7 :
- Matchmaker.py
-
Section 36 : Project-10: Screen Pet
- Lecture 1 :
- Project Overview
- Lecture 2 :
- Creating Mouth, Tongue & Cheeks
- Lecture 3 :
- Toggle & blink eyes
- Lecture 4 :
- Introduction to this module
- Lecture 5 :
- Creating Body, Eyes & Ears
- Lecture 6 :
- Toggle tongue & pupils
- Lecture 7 :
- Happy face
- Lecture 8 :
- Sad face
- Lecture 9 :
- Screen_Pet.py
- Lecture 10 :
- Screen_Pet
-
Section 37 : Project-11: Calculator
- Lecture 1 :
- Smart_Calculator
- Lecture 2 :
- Smart_Calculator.py
- Lecture 3 :
- Calculator
- Lecture 4 :
- Front_End
- Lecture 5 :
- Operations list
- Lecture 6 :
- Math Operation
- Lecture 7 :
- Project Overview
- Lecture 8 :
- Introduction to this module
-
Section 38 : Project-12 Your Own Database System
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Project Overview
- Lecture 3 :
- Labels & Entries
- Lecture 4 :
- Entries, listbox & Scrollbar
- Lecture 5 :
- Buttons
- Lecture 6 :
- Defining Back_end
- Lecture 7 :
- Search function in Back_End
- Lecture 8 :
- Searching & Viewing Data
- Lecture 9 :
- Adding
- Lecture 10 :
- Deleting
- Lecture 11 :
- Your Own Database System
- Lecture 12 :
- Front_End.py
- Lecture 13 :
- Back_End.py
- Lecture 14 :
- Routine.py
-
Section 39 : Project-13: The Egg Catcher Game
- Lecture 1 :
- Introduction to this module
- Lecture 2 :
- Project Overview
- Lecture 3 :
- Creating Window
- Lecture 4 :
- Egg & Catcher
- Lecture 5 :
- Other interface items
- Lecture 6 :
- Create & move eggs
- Lecture 7 :
- Droping & Losing a Life
- Lecture 8 :
- Catch & get score
- Lecture 9 :
- Moving with keys
- Lecture 10 :
- Running the Egg Catcher
- Lecture 11 :
- Egg catcher.py
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I'm Dev & I'm a programmer in python with field in AI & Machine Learning & I'm also an Electronics & Communication Engineer. I'm trying to create complete course on some topics with practical application knowledge to the students so they can perfectly learn everything related to their subjects of interest.
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