Advanced Python Programming , Script for Python Projects

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 – try…except block

Lecture 3: try…except…else 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

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

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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