Python Programming Advance 2022
Python Programming Advance 2022, available at $64.99, has an average rating of 4.25, with 97 lectures, based on 19 reviews, and has 142 subscribers.
You will learn about What you will learn in this course? Become familiar with key Python functions, objects, and classes, Learn about Python fundamentals, Python data structures, and working with data in Python. How to build your program in Python, Gain career skills in one of the world’s most popular programming languages. This course is ideal for individuals who are Beginers and Advance It is particularly useful for Beginers and Advance.
Enroll now: Python Programming Advance 2022
Summary
Title: Python Programming Advance 2022
Price: $64.99
Average Rating: 4.25
Number of Lectures: 97
Number of Published Lectures: 96
Number of Curriculum Items: 97
Number of Published Curriculum Objects: 96
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- What you will learn in this course?
- Become familiar with key Python functions, objects, and classes, Learn about Python fundamentals, Python data structures, and working with data in Python. How to build your program in Python, Gain career skills in one of the world’s most popular programming languages.
Who Should Attend
- Beginers and Advance
Target Audiences
- Beginers and Advance
In this course, you’ll learn the fundamentals of the Python programming language, along with programming best practices. You’ll learn to represent and store data using Python data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. You’ll define and document your own custom functions, write scripts, and handle errors. Lastly, you’ll learn to find and use modules in the Python Standard Library and other third-party libraries.
In this training program I will be covering all the domains and the concepts involved under the umbrella of artificial intelligence, and I will also be showing you a couple of use cases and practical implementations by using Python. So there’s a lot to cover in the training program.
Python is a general purpose, dynamic, high-level and interpreted programming language. It supports Object Oriented programming approach to develop applications. IT is simple and easy to learn and provides lots of high-level data structures.
Python is easy to learn yet powerful and versatile scripting language, which makes it attractive for Application Development.
Python’s syntax and dynamic typing with its interpreted nature make it an ideal language for scripting and rapid application development.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Installation
Lecture 1: Installation
Chapter 3: Python Variables, Data Types, Keywords
Lecture 1: Variables, Data Types and Keywords
Chapter 4: Python Literals
Lecture 1: Python Literals
Chapter 5: Python Operators & Comments
Lecture 1: Operators and Comments
Chapter 6: if statements
Lecture 1: if Statement
Chapter 7: Python Loops
Lecture 1: Loops
Chapter 8: While Loop
Lecture 1: While loops
Chapter 9: Python Break
Lecture 1: Break
Chapter 10: Continue Statement
Lecture 1: Continue Statement
Chapter 11: Pass Statement
Lecture 1: Pass Statement
Chapter 12: Python Strings
Lecture 1: Strings
Chapter 13: Python Lists
Lecture 1: Lists
Chapter 14: Python Tuple
Lecture 1: Tuple
Chapter 15: Python Dictionary
Lecture 1: Dictionary
Chapter 16: Date and Time
Lecture 1: Date and Time
Chapter 17: Functions
Lecture 1: Functions
Chapter 18: Build-In Functions
Lecture 1: Lecture 1
Lecture 2: LEcture 2
Lecture 3: Lecture 3
Lecture 4: Lecture 4
Lecture 5: Lecture 5
Chapter 19: Return Statement
Lecture 1: Return Statement
Chapter 20: Sets
Lecture 1: Sets
Chapter 21: Lambda Function
Lecture 1: Lambda Function
Chapter 22: Files Handling
Lecture 1: Files Handling
Chapter 23: Exceptions
Lecture 1: Exceptions
Chapter 24: RegEx
Lecture 1: RegEx
Chapter 25: Sending Email using SMTP
Lecture 1: Sending Email using SMTP
Chapter 26: Read CSV File
Lecture 1: Read CSV File
Chapter 27: Write CSV File
Lecture 1: Write CSV File
Chapter 28: Read Excel File
Lecture 1: Read Excel File
Chapter 29: Write Excel File
Lecture 1: Write Excel File
Chapter 30: Python Assert
Lecture 1: Python Assert
Chapter 31: List Comprehension
Lecture 1: List Comprehension
Chapter 32: Collection Module
Lecture 1: Collection Module
Chapter 33: Math Module
Lecture 1: Math Module
Chapter 34: OS Module
Lecture 1: OS Module
Chapter 35: Random Module
Lecture 1: Random Module
Chapter 36: Statistics Module
Lecture 1: Statistics Module
Chapter 37: Sys Module
Lecture 1: Sys Module
Chapter 38: Python IDE's
Lecture 1: Python IDE's
Chapter 39: Arrays
Lecture 1: Arrays
Chapter 40: Magic Method
Lecture 1: Magic Method
Chapter 41: OOPs Concepts
Lecture 1: Lecture 1
Lecture 2: Lecture 2
Lecture 3: Lecture 3
Lecture 4: Assignment Solution
Chapter 42: MySQL
Lecture 1: Lecture 1
Lecture 2: Lecture 2
Lecture 3: Lecture 3
Chapter 43: Numpy
Lecture 1: Numpy Lecture 1
Lecture 2: Numpy – Lecture 2
Lecture 3: Numpy – Lecture 3
Lecture 4: Numpy – Broadcasting – Lecture 4
Lecture 5: Numpy – Array Iteration – Lecture 5
Lecture 6: Numpy – Binary, String, Mathematical Functions – Lecture 6
Instructors
-
Amer Mohammed
IT Project Manager
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 1 votes
- 4 stars: 4 votes
- 5 stars: 13 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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