Start Python fundamental & Data Analysis in two weeks
Start Python fundamental & Data Analysis in two weeks, available at $19.99, has an average rating of 2, with 29 lectures, based on 1 reviews, and has 32 subscribers.
You will learn about Learn fundamentals to developed and create applications with Python code. Learn how to developed and create games using Python code. Learn how to developed and create AI applications with Python code. Learn how to developed and create applications with Python code. Learn how to use Python in Data Analysis This course is ideal for individuals who are Begginers Python code programming. or Any one want to start coding using simple and powerfull programming language. or Artificial Intelligence researching students or Data analysis users It is particularly useful for Begginers Python code programming. or Any one want to start coding using simple and powerfull programming language. or Artificial Intelligence researching students or Data analysis users.
Enroll now: Start Python fundamental & Data Analysis in two weeks
Summary
Title: Start Python fundamental & Data Analysis in two weeks
Price: $19.99
Average Rating: 2
Number of Lectures: 29
Number of Published Lectures: 29
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 29
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn fundamentals to developed and create applications with Python code.
- Learn how to developed and create games using Python code.
- Learn how to developed and create AI applications with Python code.
- Learn how to developed and create applications with Python code.
- Learn how to use Python in Data Analysis
Who Should Attend
- Begginers Python code programming.
- Any one want to start coding using simple and powerfull programming language.
- Artificial Intelligence researching students
- Data analysis users
Target Audiences
- Begginers Python code programming.
- Any one want to start coding using simple and powerfull programming language.
- Artificial Intelligence researching students
- Data analysis users
•Are you ready to learn Python?
•If you are a beginner in programming, you should study algorithms immediately before you start studying Python because you need to know the principles of programming before you learn any programming language. Don’t worry if you’ve never learned it because we explained the algorithms from scratch.
The course is designed for students who already use computers or laptops and want to know how are applications and games made.
the course including 150+ practical examples, 3 applicable games, and 3 practical applications all with full code attached.
We will start from the beginning of design the flowchart of the program and describe how to convert the flowchart to programming code.
Next is described the Python’s statements and variables and different types the controls.
What is Python?
Python is a high-level programming language created by Guido Van Rossum while working at the Centrum Wiskunde & Informatica Research Center in 1986.
1991 The first version was published to make it accessible to all.
This language has been developed and added a lot of features in each new version to this day until it has become one of the most important languages of the era, which can be used to build desktop programs, web applications, games, scripts, etc.
Python works on all the most important operating systems such as Windows, Mac OS, Linux, Unix, etc. It is one of the most famous programming languages ever.
Course Curriculum
Chapter 1: Introduction
Lecture 1: What is programming?
Lecture 2: Introduction
Lecture 3: Python Basics
Chapter 2: Flow chart design
Lecture 1: How to design and use of flowchart
Chapter 3: Let us have some fun (First Game)
Lecture 1: Flowchart of First Game (Tic Tac Toe) or X_O Game
Lecture 2: The code of game (Tic Tac Toe)
Chapter 4: Python – Decision Making and Loops
Lecture 1: Decision Making and Loops
Chapter 5: Mathematical Functions
Lecture 1: Mathematical Functions
Chapter 6: Working with text
Lecture 1: Working with text
Chapter 7: Matrices and arrays in Python
Lecture 1: List Class
Lecture 2: Tuple Class and Set Class
Lecture 3: Dictionary (Dict class)
Chapter 8: Working with Modules
Lecture 1: Modules
Chapter 9: Python Functions (Your First Application)
Lecture 1: Working with functions
Chapter 10: Python Date & Time
Lecture 1: Working with Date , Time and Calendar
Chapter 11: Let us have more fun (Modify Tic Tac Toe game)
Lecture 1: New version from Tic Tac toe game.
Chapter 12: Classes & Objects
Lecture 1: Classes and Objects
Chapter 13: First Application
Lecture 1: Kids teaching application without voice
Lecture 2: Kids teaching application with voice (How to run application)
Lecture 3: Kids teaching application with voice (the code)
Chapter 14: Overriding and Abstraction
Lecture 1: Overriding and Abstraction
Chapter 15: Polymorfism, Entering from user and Iterator
Lecture 1: Polymorfism, Entering from user and Iterator
Chapter 16: Regular Expressions
Lecture 1: Regular Expressions
Chapter 17: Exceptions Handling
Lecture 1: Exceptions Handling
Chapter 18: File Handling
Lecture 1: File Handling
Chapter 19: Python Installer Package (PIP) + Working with database
Lecture 1: PIP installer + Working with database (MySQL)
Chapter 20: Python Multithreading
Lecture 1: Python Multithreading
Chapter 21: Start Data Analysis using Python
Lecture 1: Introduction
Chapter 22: What is next?
Lecture 1: What do I learn after I learned Python?
Instructors
-
Ayman Khoshouey
ERP instructor, IBM Maximo, VB.net, Python, VBA,B4A, graphic
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 0 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!
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