HOME > Development > Advanced Python Programming , Script for Python Projects

Advanced Python Programming , Script for Python Projects

  • Development
  • Apr 19, 2025
SynopsisAdvanced Python Programming , Script for Python Projects, ava...
Advanced Python Programming , Script for Projects  No.1

Advanced Python Programming , Script for Python Projects, available at $19.99, has an average rating of 4.15, with 86 lectures, based on 77 reviews, and has 639 subscribers.

You will learn about Good understanding of advanced Python features Advanced Python features implementation Exception handling in detail Metaprogramming and Introspection Use of C Library in Python Powerful Multithreading and Multiprocessing Use of Python in Java and C# Understanding of Advanced Features helpful in Software Development Development of Library and Framework Closure, Function Factory, Method Chaining This course is ideal for individuals who are Students who want to enhance their Python skills to work better for Software Development or Software Developers/Engineers to apply different features to make/fix the efficient software product or Software Architects to analyse and propose better solution considering languages capability It is particularly useful for Students who want to enhance their Python skills to work better for Software Development or Software Developers/Engineers to apply different features to make/fix the efficient software product or Software Architects to analyse and propose better solution considering languages capability.

Enroll now: Advanced Python Programming , Script for Python Projects

Summary

Title: Advanced Python Programming , Script for Python Projects

Price: $19.99

Average Rating: 4.15

Number of Lectures: 86

Number of Published Lectures: 75

Number of Curriculum Items: 86

Number of Published Curriculum Objects: 75

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

  • Good understanding of advanced Python features
  • Advanced Python features implementation
  • Exception handling in detail
  • Metaprogramming and Introspection
  • Use of C Library in Python
  • Powerful Multithreading and Multiprocessing
  • Use of Python in Java and C#
  • Understanding of Advanced Features helpful in Software Development
  • Development of Library and Framework
  • Closure, Function Factory, Method Chaining
  • Who Should Attend

  • Students who want to enhance their Python skills to work better for Software Development
  • Software Developers/Engineers to apply different features to make/fix the efficient software product
  • Software Architects to analyse and propose better solution considering languages capability
  • Target Audiences

  • Students who want to enhance their Python skills to work better for Software Development
  • Software Developers/Engineers to apply different features to make/fix the efficient software product
  • Software Architects to analyse and propose better solution considering languages capability
  • This “Advanced Python : Learn Advanced Python Programming” course has unique advanced Python programming topics in detail, mostly not available in any other course.

    Why learn Advanced Python

  • Python everywhere

  • Enrich your Python skills

  • To provide efficient solution

  • Implement/Understand complex techniques

  • Better Development/Maintenance of Python projects/products

  • Flexible and Extensible software design

  • Well prepared for interview

  • Design and development of a product requires great understanding of implementation language. The complexity of real world application requires the use of strength of language to provide robust, flexible and efficient solution. Python provides the Object Oriented capability and lot of rich features to stand with changing demand of current world application requirement.

    The course covers variety of advanced Python concepts used in software development : Writing Library, Building Framework, Python C Extensions (C code in Python), Closure, Function Factory, Method Chaining, Exception Handling, Context Manager, Metaclasses, Introspection, Multithreading, Multiprocessing, Python In Java (Java Dynamic Language Support), Python In C# (C# Dynamic Language Support).

    Here is the course content-

  • Writing Library

  • Building Framework

  • Python C Extensions

  • Closure, Function Factory, Method Chaining

  • Exception Handling

  • Context Manager

  • Metaclasses

  • Introspection

  • Multithreading

  • Multiprocessing

  • Python In Java (Java Dynamic Language Support)

  • Python In C# (C# Dynamic Language Support).

  • This “Advanced Python : Learn Advanced Python Programming” tutorial explains the advanced features of Python in step-wise manner. All the topics have been explained in simple way. You will also see the demonstration of source code implementation for each topic. This course will improve the advanced Python programming skills of developers who have basic understanding of Python. You will learn rich advanced Python concepts which will help in providing efficient solution of software projects. You will be able to understand and implement all the advanced Python techniques and apply in Python projects. This will also help you to present yourself well for advanced Python coding interview questions.

    This course is first one in my complete Python Design and Development course series-

  • Advanced Python : Learn Advanced Python Programming

  • Design Patterns In Python Made Simple

  • Course will be updated with adding new topics and existing topics will be provided in detail to have good understanding of advanced features of Python programming to build the technical strength and shape your career.

    In this advanced Python course, I have used Free PyDev for Eclipse, you can use any other Python IDE/Environment.

    This Learn advanced Python online course on udemy will be great help to developers as very few books/tutorials are available to provide good knowledge on advanced Python topics/concepts. Also it will be a good complement to any book/tutorial.

    So what are you waiting for, click on Buybutton to enroll now and start learning.

    Course Curriculum

    Lecture 1: Introduction

    Chapter 1: Development of Library and Framework In Python

    Lecture 1: Library

    Lecture 2: Demo of writing Library in Python

    Lecture 3: Framework

    Lecture 4: Demo of writing Framework in Python

    Chapter 2: Python C Extensions

    Lecture 1: Python C Extensions (C with Python)

    Lecture 2: Demo of Python C Extensions

    Chapter 3: Closure, Function Factory, Method Chaining In Python

    Lecture 1: Closure

    Lecture 2: Function Factory

    Lecture 3: Method Chaining

    Chapter 4: Python In C# (C# Dynamic Language Support)

    Lecture 1: dynamic

    Lecture 2: What Is Dynamic Language Support?

    Lecture 3: Python with C#

    Lecture 4: Demo of Executing Python Expression in C#

    Lecture 5: Demo of Executing Python Statement in C#

    Lecture 6: Demo of Calling Python Function in C#

    Lecture 7: Demo of Creating Python Instance Object and Calling Method in C#

    Lecture 8: Your Review Matters!

    Chapter 5: Python In Java (Java Dynamic Language Support)

    Lecture 1: What Is Dynamic Language Support?

    Lecture 2: Running Python File on JVM

    Lecture 3: Python In Java Source

    Lecture 4: Required class PythonInterpreter

    Lecture 5: Using Python File in Java Source

    Chapter 6: Exception Handling In Python

    Lecture 1: Introduction to Exceptions

    Lecture 2: Handling Exception – tryexcept block

    Lecture 3: tryexceptelse Block

    Lecture 4: Nested try

    Lecture 5: Another Demo program for Nested Try

    Lecture 6: Catching Multiple Exceptions – Multiple Except Handler

    Lecture 7: Catching Multiple Exceptions – Single Except Handler

    Lecture 8: finally Block

    Lecture 9: Raising Exception

    Lecture 10: User Defined Exception

    Chapter 7: Context Manager In Python

    Lecture 1: What Is Context Manager?

    Lecture 2: Creation and Use of Context Manager

    Lecture 3: A Simple Demo of Context Manager

    Lecture 4: __enter__ Method

    Lecture 5: Handling Exception

    Lecture 6: A Simple Demo of Coming Exception

    Lecture 7: Handling Exception in __exit__ Method

    Lecture 8: Re-raising the Exception

    Lecture 9: Raising Another Exception

    Chapter 8: Metaclasses In Python

    Lecture 1: What Is Metaclass in Python?

    Lecture 2: Exploring class and type

    Lecture 3: Dynamic Class Creation

    Lecture 4: Creation of Class Using type

    Lecture 5: Creation of Subclass Using type

    Lecture 6: Adding Attributes to Class

    Lecture 7: Adding Methods to Class

    Lecture 8: Creation of Metaclass and Creating Class Using Metaclass

    Chapter 9: Introspection In Python

    Lecture 1: What Is Introspection?

    Lecture 2: dir() Function

    Lecture 3: type(), id() Function

    Lecture 4: isinstance() Function, __doc__ Attribute

    Lecture 5: hasattr(), getattr() Function

    Lecture 6: callable(), issubclass() Function

    Lecture 7: inspect Module

    Lecture 8: Class Introspection

    Chapter 10: Multithreading In Python

    Lecture 1: What Is Multithreading?

    Lecture 2: How to create and start a thread

    Lecture 3: Demo of creation of thread by Thread class

    Lecture 4: Demo of creation of thread with passing parameters

    Lecture 5: Demo of creation of thread by subclassing Thread class

    Lecture 6: threading Module and Thread class

    Lecture 7: Usage of sleep method of time module with thread

    Lecture 8: Usage of join method

    Lecture 9: Displaying thread information

    Lecture 10: Usage of enumerate method

    Chapter 11: Multiprocessing In Python

    Lecture 1: What Is Multiprocessing?

    Lecture 2: How to create and start a process

    Lecture 3: Demo of creation of process by Process class

    Lecture 4: Demo of creation of process with passing parameters

    Lecture 5: Demo of creation of process by subclassing Process class

    Lecture 6: multiprocessing Module and Process class

    Chapter 12: Bonus Lecture

    Lecture 1: Recommended Course and Offer on my other courses

    Instructors

  • Advanced Python Programming , Script for Projects  No.2
    Suresh Kumar Srivastava
    Founder, CourseGalaxy, Author of C In Depth
  • Rating Distribution

  • 1 stars: 16 votes
  • 2 stars: 9 votes
  • 3 stars: 12 votes
  • 4 stars: 20 votes
  • 5 stars: 20 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    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!