LATEST | Learn Advanced Python Programming | SOURCE CODE
LATEST | Learn Advanced Python Programming | SOURCE CODE, available at $19.99, has an average rating of 4.31, with 87 lectures, 1 quizzes, based on 149 reviews, and has 22119 subscribers.
You will learn about Understand the fundamentals of functional programming, including lambda functions, map, filter, reduce, decorators, generators, and iterators. Gain proficiency in object-oriented programming concepts such as classes, objects, constructor, destructor, 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 Beautiful Soup library. This course is ideal for individuals who are Python developers who want to take their skills to the next level and gain a deeper understanding of advanced programming concepts and libraries. or 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. or Web developers who want to learn how to build web applications using popular Python web framework such as Django or IT professionals who work with databases and want to use Python to connect to and manipulate different database management systems. or Researchers and academics who want to use Python for scientific computing and simulation. or Anyone interested in building advanced Python applications and solving real-world problems using the language. It is particularly useful for Python developers who want to take their skills to the next level and gain a deeper understanding of advanced programming concepts and libraries. or 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. or Web developers who want to learn how to build web applications using popular Python web framework such as Django or IT professionals who work with databases and want to use Python to connect to and manipulate different database management systems. or Researchers and academics who want to use Python for scientific computing and simulation. or Anyone interested in building advanced Python applications and solving real-world problems using the language.
Enroll now: LATEST | Learn Advanced Python Programming | SOURCE CODE
Summary
Title: LATEST | Learn Advanced Python Programming | SOURCE CODE
Price: $19.99
Average Rating: 4.31
Number of Lectures: 87
Number of Quizzes: 1
Number of Published Lectures: 87
Number of Published Quizzes: 1
Number of Curriculum Items: 90
Number of Published Curriculum Objects: 90
Number of Practice Tests: 1
Number of Published Practice Tests: 1
Original Price: $27.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the fundamentals of functional programming, including lambda functions, map, filter, reduce, decorators, generators, and iterators.
- Gain proficiency in object-oriented programming concepts such as classes, objects, constructor, destructor, 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 Beautiful Soup library.
Who Should Attend
- 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.
Target Audiences
- 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.
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 Matplotlibfor 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 Zamiris 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
Course Curriculum
Chapter 1: Advanced Python Chapter 01
Lecture 1: 1 Advanced Python Chapter 01
Lecture 2: 2 What is Advanced Python
Lecture 3: 3 Why Learn Advanced Python
Chapter 2: Advanced Python Chapter 02
Lecture 1: 01 Advanced Python Chapter 02
Lecture 2: 02 Pure Function in Advanced Python
Lecture 3: 03 Higher Order function in Advanced Python
Lecture 4: 04 Lambda Function in Advanced Python
Lecture 5: 05 Map function in Python
Lecture 6: 06 Map Examples in Python
Lecture 7: 07 Filter function in Python
Lecture 8: 08 Filter Function Examples in Python
Lecture 9: 09 Reduce Function in Python
Lecture 10: 10 Generator Function in Python
Lecture 11: 11 Decorator Function in Python
Chapter 3: Advanced Python Chapter 03
Lecture 1: 01 Advanced Python Chapter 02
Lecture 2: 02 Introduction to OOP
Lecture 3: 03 Class Creation in Python
Lecture 4: 04 Object in OOP Python
Lecture 5: 05 Data Members and Member functions
Lecture 6: 06 Self Keyword in OOP
Lecture 7: 07 Constructor in OOP Python
Lecture 8: 08 Destructor in OOP Python
Lecture 9: 09 Inheritance in OOP Python
Lecture 10: 10 Single Inheritance in OOP Python
Lecture 11: 11 Multiple inheritance in OOP Python
Lecture 12: 12 Multi Level Inheritance in OOP Python
Lecture 13: 13 Herarchical Inheritance in OOP Python
Lecture 14: 14 Super Keyword in OOP Python
Lecture 15: 15 Polymorphism in OOP Python
Lecture 16: 16 Private Access Specefiers in OOP
Lecture 17: 17 Protected and Public Access Specefiers in OOP
Chapter 4: Advanced Python Chapter 04
Lecture 1: 01 Advanced Python Chapter 04 Outlines
Lecture 2: 02 Introduction to Regular Expression
Lecture 3: 03 Regular Expression Working
Lecture 4: 04 Special Sequences in Regex
Lecture 5: 05 d and D Special Sequence in Regular Expression
Lecture 6: 06 word Character in Regex
Lecture 7: 07 White space char in Regex
Lecture 8: 08 dot pattern in regex
Lecture 9: 09 More special Sequence in regex
Lecture 10: 10 word boundry in regex
Lecture 11: 11 SET in regex
Lecture 12: 12 findall function in regex
Lecture 13: 13 search function in regex
Lecture 14: 14 split function in regex
Lecture 15: 15 sub function in regex
Chapter 5: Advanced Python Chapter 05
Lecture 1: 01 Chapter 05 Advanced Python Outline
Lecture 2: 02 DB and DBMS Introduction
Lecture 3: 03 DataBase Python Libraries
Lecture 4: 04 Setup PyMySQL library
Lecture 5: 05 Make Connection with DataBase
Lecture 6: 06 Creating Database
Lecture 7: 07 Creating Table in Datbase
Lecture 8: 08 DB and Table creation Examples
Lecture 9: 09 INSERT Query with Examples
Lecture 10: 10 Paramterized INSERT Query with Examples
Lecture 11: 11Select Query with Examples
Lecture 12: 12 UPDATE Query with Examples
Lecture 13: 13 DELETE Query with Examples
Lecture 14: 14 LIMIT Clause
Lecture 15: 15 Where Clause
Chapter 6: Advanced Python Chapter 06
Lecture 1: 01 Chapter 06 Advanced Python Outline
Lecture 2: 02 Basics Input Output Operations
Lecture 3: 03 CSV file Input Output Operations
Lecture 4: 04 Excel File Input Output Operations
Lecture 5: 05 JSON file Input operation
Lecture 6: 06 JSON data Output operation
Chapter 7: Advanced Python Chapter 07
Lecture 1: 01 Chapter 07 Advanced Python Outline
Lecture 2: 02 Introduction to Numpy Library
Lecture 3: 03 Introduction to Pandas Library
Lecture 4: 04 Introduction to Matplotlib
Lecture 5: 05 Introduction to Django
Lecture 6: 06 Excel OpenPyXl Library
Chapter 8: Advanced Python Chapter 08
Lecture 1: 01 Chapter 08 Advanced Python Outline
Lecture 2: 02 Web Scraping Introduction and Importance
Lecture 3: 03 Web Scraping Libraries
Lecture 4: 04 Requirements for Web Scraping
Lecture 5: 05 HTML and CSS Introduction
Lecture 6: 06 Setup for Beautiful Soup
Lecture 7: 07 Web Scraping without requests module
Lecture 8: 08 Web Scraping with requests module
Lecture 9: 09 Beautiful soup with and without requests module
Lecture 10: 10 Web Scraping Techniques
Lecture 11: 11 Web Scraping Exersise 01
Lecture 12: 12 Web Scraping Exersise 02
Lecture 13: 13 Web Scraping Exersise 03
Lecture 14: 14 Web Scraping Exersise 04
Chapter 9: Updated Section
Chapter 10: Python Quiz
Instructors
-
Faisal Zamir
Programmer -
Jafri Code
Programming and Web Instructor -
Pro Python Support
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 1 votes
- 3 stars: 22 votes
- 4 stars: 50 votes
- 5 stars: 72 votes
Frequently Asked Questions
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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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