LATEST | Learn Advanced Python Programming

LATEST Learn Advanced Python Programming SOURCE CODE


LATEST | Learn Advanced Python Programming SOURCE CODE, an introduction to learning advanced Python programming. Introduction to Learning Advanced Python Programming This course is designed to help Python developers take their programming skills to the next level. This course provides an overview of advanced Python programming concepts and libraries and teaches students how to build complex programs using object-oriented programming, functional programming, and database management. Students will learn how to use popular Python libraries such as NumPy, Pandas. , and Matplotlib for data analysis and Django .Using popular frameworks such as web development, and hands-on experience with visualization By the end of this course, students will have developed the skills needed to build real-world applications using Python and They will be well equipped to tackle more advanced programming challenges. Outline for learning 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. Map, filter and reduce functions
  4. Generators and iterators (return and next function)
  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. Awesome keyword
  8. polymorphism
  9. Access Determinants

Chapter 04

  1. What is a regular expression?
  2. Regular expression in Python
  3. Where to use regular expression?
  4. Special sequences
  5. Quantifiers
  6. tuning

Chapter 05

  1. What is database and DBMS?
  2. Why do you need a database?
  3. Various libraries and modules to connect 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. limit

Chapter 06

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

Chapter 07

  1. An introduction to popular Python libraries and frameworks
  2. NumPy
  3. the pandas
  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 web page structure (HTML and CSS)
  5. Installation of beautiful soup
  6. Web scraping techniques using beautiful soup

What will you learn from 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 thorough 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, map, filter and reduce 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 database, how to connect Python to database and perform CRUD operations. In addition, you can work with different file formats such as CSV, JSON and pickling.

4. In this course, you will also learn about popular Python libraries such as 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’ll learn about web scraping and why it’s important. You will learn about tools and techniques for setting 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 Zamir is an experienced programmer and expert in the field of computer science. He has a master’s degree in computer science and has more than 7 years of experience working in schools, colleges and universities. Faisal is a highly skilled instructor who is passionate about teaching and guiding students in the field of computer science. As a programmer, Faisal has worked on various 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 wide range of experience has allowed Faisal to develop a deep understanding of programming fundamentals and the ability to teach complex concepts in an easy and understandable way. Faisal has a successful track record as a coach. He has taught students at all levels, from beginner to advanced, and is passionate about helping students achieve their goals. Faisal has a unique teaching style that combines theory with practical examples, allowing students to apply what they have learned in real-world scenarios. Overall, Faisal Zameer is a skilled programmer and a talented instructor who helps students achieve their goals in the field of computer science. . With his extensive experience and track record of success, students can trust that they are learning from an expert in the field.

What can you do after this course?

  • · Learn how to use functional programming to write clean, concise, and efficient code.
  • · Take an object-oriented approach to problem solving and build complex programs with ease.
  • · Create regular expressions to validate input and extract relevant information from textual data.
  • Connect to various database management systems using Python libraries such as SQLite, MySQL and PostgreSQL.
  • · Use Python’s built-in functions to read, write, and manipulate files in various formats.
  • · Mastery of popular Python libraries such as NumPy for numerical calculations, Pandas for data manipulation and analysis, Matplotlib for data visualization, and Django for web development.
  • · Gain hands-on experience with web scraping 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.
  • · Gain knowledge of software engineering best practices and be able to apply them to your Python projects.
  • · Understand how Python can be used to solve real-world problems in fields such as finance, healthcare, and engineering.

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

What is in the course of LATEST | Learn Advanced Python Programming You will learn SOURCE CODE

  • Understand the fundamentals of functional programming, including lambda functions, maps, filters, reducers, decorators, generators, and iterators.

  • Master object-oriented programming concepts such as classes, objects, constructors, destructors, inheritance, polymorphism, and access specifiers.

  • Use regular expressions effectively in Python to search, match, and manipulate text.

  • Connect Python to a database and perform CRUD operations including create, read, update and delete.

  • Work with different file formats such as CSV, JSON and Excel

  • Understand popular Python libraries such as NumPy, Pandas, Matplotlib, Django, and Excel for data analysis, visualization, and web development.

  • Use web scraping techniques to extract data from websites using the Beautiful Soup library.

This course is suitable for people who

  • Python developers who want to take their skills to the next level and gain a deeper understanding of advanced programming concepts and libraries.
  • Data scientists who use Python for data analysis, machine learning, and visualization and want to learn more about advanced libraries such as NumPy, Pandas, and Matplotlib.
  • Web developers who want to learn how to build web applications using popular Python web frameworks like Django
  • IT professionals who work with databases and want to use Python to connect to various database management systems.
  • Researchers and academics who want to use Python for scientific computing and simulation.
  • Anyone interested in building advanced Python programs and solving real-world problems using the language.

Details of the LATEST course Learn Advanced Python Programming SOURCE CODE

  • Publisher: Udemy
  • teacher: Faisal Zamir
  • Training level: beginner to advanced
  • Training duration: 10 hours and 32 minutes
  • Number of courses: 87

Course headings

Prerequisites of the LATEST course Learn Advanced Python Programming SOURCE CODE

  • Basic knowledge of Python programming concepts such as variables, data types, operators, conditional statements, loops, and functions.
  • No need of any other programming language
  • You did not need to buy any extra software or course

Course images

LATEST |  Learn Advanced Python Programming  SOURCE CODE

Sample video of the course

Installation guide

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English subtitle

Quality: 1080p


The version of 2024/1 compared to 2023/9 has increased the number of 70 lessons and the duration of 8 hours and 12 minutes. Also, the course quality has been increased from 720p to 1080p. English subtitles have also been added to the course.

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