Python - Master Programming and Development with 15 Projects

Python : Master Programming and Development with 15 Projects, available at $74.99, has an average rating of 4.3, with 378 lectures, 3 quizzes, based on 13813 reviews, and has 528904 subscribers.

You will learn about 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. This course is ideal for individuals who are Everyone who want to learn python. It is particularly useful for Everyone who want to learn python.

Enroll now: Python : Master Programming and Development with 15 Projects

Summary

Title: Python : Master Programming and Development with 15 Projects

Price: $74.99

Average Rating: 4.3

Number of Lectures: 378

Number of Quizzes: 3

Number of Published Lectures: 378

Number of Published Quizzes: 3

Number of Curriculum Items: 381

Number of Published Curriculum Objects: 381

Original Price: $199.99

Quality Status: approved

Status: Live

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.

Who Should Attend

Everyone who want to learn python.

Target Audiences

Everyone who want to learn 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. Control 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to course

Lecture 2: Learning by building

Lecture 3: Why learn python?

Lecture 4: Whats in the course?

Lecture 5: Whats after section 2?

Lecture 6: Any doubt and types of program ?

Chapter 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 and Jupyter notebooks

Lecture 5: Editors link

Chapter 3: Installing Python on windows

Lecture 1: Introduction to this module

Lecture 2: Installing Python3

Lecture 3: Installing Atom

Lecture 4: Atom editor

Lecture 5: Installing Anaconda

Lecture 6: Editors link

Chapter 4: Section-1 Basic Python

Lecture 1: Section-1

Chapter 5: Data types

Lecture 1: Introduction to this module

Lecture 2: Variables and constants

Lecture 3: Numbers

Lecture 4: Operations on Numbers

Lecture 5: Dynamic typing and restricitons on data types

Lecture 6: Casting

Lecture 7: Strings

Lecture 8: Methods and strings

Lecture 9: Indexing and slicing

Lecture 10: String formatting

Lecture 11: List

Lecture 12: Tuples

Lecture 13: Dictionary

Lecture 14: Boolean

Lecture 15: Data types notes

Chapter 6: Operators

Lecture 1: Introduction to this module

Lecture 2: Arithmetic Operators

Lecture 3: Assignment Operators

Lecture 4: Comparison Operators

Lecture 5: Logical Operators

Lecture 6: Identity and Membership Operators

Lecture 7: Operators Notes

Chapter 7: Which editor is best for you

Lecture 1: Introduction to this module

Lecture 2: Working on Atom

Lecture 3: Working on jupyter notebooks

Lecture 4: How to learn Programming

Chapter 8: Functions and Methods

Lecture 1: Introduction to this module

Lecture 2: User input

Lecture 3: Convertors

Lecture 4: Concept of funtions

Lecture 5: Functions and user inputs

Lecture 6: Parameters

Lecture 7: Convertors using function

Lecture 8: Modifying function

Lecture 9: Methods

Lecture 10: Function Notes

Lecture 11: Method notes

Chapter 9: Errors in python

Lecture 1: Introduction to this module

Lecture 2: Types of errors

Lecture 3: Syntex error

Lecture 4: Indentation error

Lecture 5: Type error

Lecture 6: Name error

Lecture 7: Zero division error

Lecture 8: Index error

Lecture 9: Attribute error

Lecture 10: Handling errors and internet

Lecture 11: Error notes

Chapter 10: Decision making

Lecture 1: Introduction to this module

Lecture 2: If-else conditions

Lecture 3: el-if condition

Lecture 4: Little fun with conditionals

Lecture 5: Multiple conditions

Lecture 6: Nested conditions

Lecture 7: Conditionals notes

Chapter 11: Loops

Lecture 1: Introduction to this module

Lecture 2: for loop

Lecture 3: loops and user input

Lecture 4: while loop

Lecture 5: Looping through a string

Lecture 6: Break statement

Lecture 7: Continue statement

Lecture 8: Range() function

Lecture 9: Else in for loop

Lecture 10: Nested loops

Lecture 11: Loops notes

Chapter 12: Date and Time

Lecture 1: Introduction to this module

Lecture 2: Python dates

Instructors

Dev Nirwal
Instructer

Ritu Antil
Digital Marketing and Course Design

Rating Distribution

1 stars: 323 votes

2 stars: 445 votes

3 stars: 2006 votes

4 stars: 5048 votes

5 stars: 5991 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!