Introduction to Learn Advanced Python Programming Course

Introduction to Learn Advanced Python Programming 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 applications 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 visualization, and will gain hands-on experience with web development using popular frameworks such as Django .

By the end of this course, students will have developed the skills needed to build real-world applications using Python and will be well-equipped to take on more advanced programming challenges.

Outlines for  Learn Advanced Python Programming

Chapter 01

What is Advanced Python?

What you can  learn in Advanced Python

Why learn Advanced Python?

Chapter 02

Introduction to functional programming

Lambda functions

Map, filter, and reduce functions

Generators and iterators (Yields and Next function)

Decorators

Chapter 03

Introduction to OOP

Classes and Objects

Data member and member function

self keyword

Constructor and Destructor

Inheritance and types

super keyword

Polymorphism

Access specifiers

Chapter 04

What is regular expression

Regular expression in python

Where to use regular expression

Special Sequences

Quantifiers

Set 

Chapter 05

What is Database and DBMS

Why need of database

Different libraries and modules to connect to a database

Setup Environment

Setting up the connection to a database

Create Database and Table

CRUD operations (Insert, select, update delete)

Where clause

Limit

Chapter 06

Introduction to input and output operations

Reading (Input) and writing (Output)

Reading CSV file and Writing to it

Reading Excel file and Writing to it

Reading JSON file and Writing to it

Chapter 07

Introduction to popular Python libraries and frameworks

NumPy

Pandas

Matplotlib

Django

Excel

Chapter 08

What is web scraping and why is it important?

Overview of Python libraries for web scraping

Setting up the environment for web scraping

Overview Web page Structure (HTML and CSS)

Installing and setting up Beautiful Soup

Web scraping techniques using Beautiful Soup

What you will learn from this Advanced Python Programming Course?

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

2. Throughout the course, you will dive into the fundamentals of functional programming, including the use of lambda functions, map, filter, and reduce functions, decorators, generators, and iterators. You will also gain proficiency in object-oriented programming concepts such as classes and objects, constructor and destructor, inheritance, polymorphism, and access specifiers.

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

4. In this course, you will also be introduced to popular Python libraries such as NumPy, Pandas, Matplotlib, Django, and Excel. You will understand how to use these libraries and frameworks for data analysis, data visualization, and web development.

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

Instructor Experiences and Education:

Faisal Zamir is an experienced programmer and an expert in the field of computer science. He holds a Master’s degree in Computer Science and has over 7 years of experience working in schools, colleges, and university. Faisal is a highly skilled instructor who is passionate about teaching and mentoring students in the field of computer science.

As a programmer, Faisal has worked on various projects and has experience in multiple programming languages, including PHP, Java, and Python. He has also worked on projects involving web development, software engineering, and database management. This broad range of experience has allowed Faisal to develop a deep understanding of the fundamentals of programming and the ability to teach complex concepts in an easy-to-understand manner.

As an instructor, Faisal has a proven track record of success. He has taught students of all levels, from beginners to advanced, and has a passion for 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 Zamir is a skilled programmer and a talented instructor who is dedicated to helping students achieve their goals in the field of computer science. With his extensive experience and proven track record of success, students can trust that they are learning from an expert in the field.

What you can do after this Course?

· Understand how to use functional programming to write clean, concise, and efficient code.

· Develop an object-oriented approach to problem-solving and build complex applications with ease.

· Create regular expressions to validate input and extract relevant information from text data.

· Connect to different 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 different formats.

· Master popular Python libraries such as NumPy for numerical computing, 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 for improved performance and scalability.

· Gain knowledge of the best practices for software engineering and be able to apply them to your Python projects.

· Understand how to use Python to solve real-world problems in fields such as finance, healthcare, and engineering.

Will you be able to Make 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 put into building a career.

However, the “Advanced Python Programming” course is a great place to start for anyone interested in pursuing a career in software development or related fields.

30 Days Money Back Guarantee Learn Advanced Python Programming

Yes, the “Learn Advanced Python Programming” course comes with a 30-day money-back guarantee. We are confident in the quality of our course and believe that it will provide you with the skills and knowledge you need to succeed in Python programming.

However, if you find that the course does not meet your expectations or does not meet your learning needs, you can request a refund within 30 days of purchase. Our goal is to ensure that you have a positive learning experience and that you are satisfied with the course.

Thank you

Faisal Zamir

このコースの対象受講者:

• 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 framework such as Django
• IT professionals who work with databases and want to use Python to connect to and manipulate different database management systems.
• Researchers and academics who want to use Python for scientific computing and simulation.
• Anyone interested in building advanced Python applications and solving real-world problems using the language.