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: What's in the course?
Lecture 5: What's 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
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