Udemy – LATEST | Learn advanced Python programming

Chapter 01

1. What is Advanced Python?
2. What you can learn in Advanced Python
3. Why learn advanced Python?

Chapter 02

1. An introduction to functional programming
2. Lambda functions
3. Assign, filter and reduce functions
4. Generators and iterators (return and next functions)
5. Decorators

Chapter 03

1. Introduction to OOP
2. Classes and objects
3. Data member and member function
4. Your keyword
5. Constructive and destructive
6. Inheritance and varieties
7. great keyword
8. Polymorphism
9. Access determinants

Chapter 04

1. What is a regular expression?
2. Regular expression in Python
3. Where can you use regular expressions?
4. Special sequences
5. Quantifier
6. organization

Chapter 05

1. What is database and DBMS?
2. Why do you need a database?
3. Various libraries and modules for connecting to the database
4. Setting the environment
5. Establish a database connection
6. Create database and table
7. CRUD operations (Insert, Select, Update, Delete)
8. Where
9. Border

Chapter 06

1. An introduction to input and output operations
2. Reading (input) and writing (output)
3. Read and write to CSV file
4. Reading and writing to an Excel file
5. Reading and writing to a JSON file

Chapter 07

1. An introduction to popular Python libraries and frameworks
2. NumPy
3. Panda
4. matplotlib
5. Django
6. have superiority

Chapter 08

1. What is web scraping and why is it important?
2. An overview of Python libraries for web scraping
3. Setting the environment for web scraping
4. Overview of the website structure (HTML and CSS)
5. Installation of a beautiful soup
6. Web scraping techniques with nice soup

What will you learn in this advanced Python programming course?

1. This course is designed to take your Python skills to the next level by introducing a wide range of advanced topics. You will learn about functional programming, object-oriented programming, regular expressions, database connections, I/O operations, popular Python libraries, and web scraping techniques. By the end of the course, you will have a comprehensive understanding of how to use these advanced Python concepts and tools to solve complex problems and build powerful applications.

2. During the course, you will cover the fundamentals of functional programming, including the use of lambda functions, mapping, filtering and reducing functions, decorators, generators and iterators. You will also master object-oriented programming concepts such as classes and objects, constructors and destructors, inheritance, polymorphism and access specifiers.

3. You will discover the power of regular expressions and learn how to use them effectively in Python to search, match and manipulate text. You will learn the basics of the database, how to connect Python to the database and perform CRUD operations. In addition, you will be able to work with different file formats such as CSV, JSON and Pickling.

4. In this course, you will also learn about popular Python libraries like NumPy, Pandas, Matplotlib, Django, and Excel. You will learn how to use these libraries and frameworks for data analysis, data visualization, and web development.

5. Finally, you will learn more about web scraping and why it is important. You will learn tools and techniques to set up your environment for web scraping and analyzing web page structure using HTML and CSS. You will also use the Beautiful Soup library to extract data from websites.

Instructor’s Experience and Education: Faisal Khafir is an experienced programmer specializing in Computer Science. He holds a Master’s degree in Computer Science and has over seven years of professional experience in schools, colleges and universities. Faisal is a highly qualified educator with a keen interest in educating and guiding students in the field of Computer Science. As a programmer, Faisal has worked on a wide variety of projects and has experience in several programming languages ​​including PHP, Java and Python. He has also worked on projects related to web development, software engineering and database management. This broad range of experience has enabled Faisal to develop a deep understanding of the fundamentals of programming and to convey complex concepts in a simple and understandable manner. Faisal has a successful history as a trainer. He has taught students at all levels from beginner to advanced and has a keen interest in helping students achieve their goals. Faisal has a unique teaching style that combines theory with practical examples, which allows students to apply what they have learned in real-world scenarios. Overall, Faisal Kharmir is an experienced programmer and a talented educator who helps students achieve their goals in the field of computer science. , With extensive experience and a successful track record, students can be trusted to learn from an expert in the field. With extensive experience and a successful track record, students can be trusted to learn from an expert in the field. With extensive experience and a successful track record, students can be trusted to learn from an expert in the field.

What can you do after this time?

• Learn how to write clean, concise, and efficient code using functional programming.
• · Create an object-oriented approach to problem solving and build complex applications with ease.
• · Create regular expressions for input validation and extract relevant information from text data.
• · Connect to various database management systems such as SQLite, MySQL and PostgreSQL using Python libraries.
• Use Python’s internal functions to read, write, and manipulate files in various formats.
• · Proficient in popular Python libraries such as NumPy for numerical computation, Pandas for data manipulation and analysis, Matplotlib for data visualization, and Django for web development.
• · Gain hands-on experience using web scratching techniques to extract data from websites and use it to build data-driven applications.
• Learn how to debug and optimize code to improve performance and scalability.
• · Learn best practices in software engineering and apply them to your Python projects.
• Understand how to use Python to solve real-world problems in areas such as finance, healthcare, and engineering.

Can you make money with Python after taking this course? Ultimately, success in making money with Python depends on a combination of several factors, including the individual’s skills and experience, job market and industry trends, and the effort and dedication required to build a career. But “Advanced Python Programming” course is a great starting point for anyone looking to pursue a career in software development or related fields. However, if you find that the course does not meet your expectations or does not meet your training needs, you can request a refund within 30 days of purchase. Our goal is to ensure that you have a positive learning experience and are satisfied with the course.