This plan includes
- Limitedfree coursesaccess
- Play & PauseCourse Videos
- VideoRecorded Lectures
- Learn onMobile/PC/Tablet
- Quizzes andReal Projects
- Lifetime CourseCertificate
- Email & ChatSupport
What you'll learn?
- Python programming
- OOP with Python
- Advanced Functional Programming
- Regular Expression
- Data base with Python
Course Overview
Pre-requisites
- Basic Python Programming
Target Audience
- Intermediate Python Programmers: Those who have a basic understanding of Python and want to expand their knowledge to more complex and powerful features.
- Developers and Programmers: Professionals seeking to enhance their Python skills for more sophisticated programming tasks, including those working in software development, data analysis, or web development.
- Students or Learners: Individuals studying computer science, software engineering, data science, or related fields interested in advancing their Python proficiency.
- Python Enthusiasts: Hobbyists or enthusiasts eager to explore the intricacies of Python, functional programming, object-oriented programming (OOP), databases, web scraping, and popular Python libraries.
- Aspiring Web Developers: Those aiming to understand web development with Python using frameworks like Django and exploring web scraping techniques for various purposes.
- Data Analysts and Data Scientists: Professionals interested in utilizing Python's data manipulation, visualization libraries like NumPy, Pandas, Matplotlib, and learning how to work with databases for data storage and retrieval.
Curriculum 87 Lectures
Section 1 : Chapter 01
- Lecture 2 :
- What is Advanced Python
- Lecture 3 :
- Why Learn Advanced Python
Section 2 : Chapter 02
- Lecture 1 :
- Advanced Python Chapter 02
- Lecture 2 :
- Pure Function in Advanced Python
- Lecture 3 :
- Higher Order function in Advanced Python
- Lecture 4 :
- Lambda Function in Advanced Python
- Lecture 5 :
- Map function in Python
- Lecture 6 :
- Map Examples in Python
- Lecture 7 :
- Filter function in Python
- Lecture 8 :
- Filter Function Examples in Python
- Lecture 9 :
- Reduce Function in Python
- Lecture 10 :
- Generator Function in Python
- Lecture 11 :
- Decorator Function in Python
Section 3 : Chapter 03
- Lecture 1 :
- Advanced Python Chapter 02
- Lecture 2 :
- Introduction to OOP
- Lecture 3 :
- Class Creation in Python
- Lecture 4 :
- Object in OOP Python
- Lecture 5 :
- Data Members and Member functions
- Lecture 6 :
- Self Keyword in OOP
- Lecture 7 :
- Constructor in OOP Python
- Lecture 8 :
- Destructor in OOP Python
- Lecture 9 :
- Inheritance in OOP Python
- Lecture 10 :
- Single Inheritance in OOP Python
- Lecture 11 :
- Multiple inheritance in OOP Python
- Lecture 12 :
- Multi Level Inheritance in OOP Python
- Lecture 13 :
- Herarchical Inheritance in OOP Python
- Lecture 14 :
- Super Keyword in OOP Python
- Lecture 15 :
- Polymorphism in OOP Python
- Lecture 16 :
- Private Access Specefiers in OOP
- Lecture 17 :
- Protected and Public Access Specefiers in OOP
Section 4 : Chapter 04
- Lecture 1 :
- Advanced Python Chapter 04 Outlines
- Lecture 2 :
- Introduction to Regular Expression
- Lecture 3 :
- Regular Expression Working
- Lecture 4 :
- Special Sequences in Regex
- Lecture 5 :
- d and D Special Sequence in Regular Expression
- Lecture 6 :
- word Character in Regex
- Lecture 7 :
- White space char in Regex
- Lecture 8 :
- dot pattern in regex
- Lecture 9 :
- More special Sequence in regex
- Lecture 10 :
- word boundry in regex
- Lecture 11 :
- SET in regex
- Lecture 12 :
- findall function in regex
- Lecture 13 :
- search function in regex
- Lecture 14 :
- split function in regex
- Lecture 15 :
- sub function in regex
Section 5 : Chapter 05
- Lecture 1 :
- Chapter 05 Advanced Python Outline
- Lecture 2 :
- DB and DBMS Introduction
- Lecture 3 :
- DataBase Python Libraries
- Lecture 4 :
- Setup PyMySQL library
- Lecture 5 :
- Make Connection with DataBase
- Lecture 6 :
- Creating Database
- Lecture 7 :
- Creating Table in Datbase
- Lecture 8 :
- DB and Table creation Examples
- Lecture 9 :
- INSERT Query with Examples
- Lecture 10 :
- Paramterized INSERT Query with Examples
- Lecture 11 :
- Select Query with Examples
- Lecture 12 :
- UPDATE Query with Examples
- Lecture 13 :
- DELETE Query with Examples
- Lecture 14 :
- LIMIT Clause
- Lecture 15 :
- Where Clause
Section 6 : Chapter 06
- Lecture 1 :
- Chapter 06 Advanced Python Outline
- Lecture 2 :
- Basics Input Output Operations
- Lecture 3 :
- CSV file Input Output Operations
- Lecture 4 :
- Excel File Input Output Operations
- Lecture 5 :
- JSON file Input operation
- Lecture 6 :
- JSON data Output operation
Section 7 : Chapter 07
- Lecture 1 :
- Chapter 07 Advanced Python Outline
- Lecture 2 :
- Introduction to Numpy Library
- Lecture 3 :
- Introduction to Pandas Library
- Lecture 4 :
- Introduction to Matplotlib
- Lecture 5 :
- Introduction to Django
- Lecture 6 :
- Excel OpenPyXl Library
Section 8 : Chapter 08
- Lecture 1 :
- Chapter 08 Advanced Python Outline
- Lecture 2 :
- Web Scraping Introduction and Importance
- Lecture 3 :
- Web Scraping Libraries
- Lecture 4 :
- Requirements for Web Scraping
- Lecture 5 :
- HTML and CSS Introduction
- Lecture 6 :
- Setup for Beautiful Soup
- Lecture 7 :
- Web Scraping without requests module
- Lecture 8 :
- 08 Web Scraping with requests module
- Lecture 9 :
- Beautiful soup with and without requests module
- Lecture 10 :
- Web Scraping Techniques
- Lecture 11 :
- Web Scraping Exersise 01
- Lecture 12 :
- Web Scraping Exersise 02
- Lecture 13 :
- Web Scraping Exersise 03
- Lecture 14 :
- Web Scraping Exersise 04
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