The Complete Python Intermediate Features

The Complete Python Intermediate Features, available at $49.99, has an average rating of 4.75, with 46 lectures, 6 quizzes, based on 19 reviews, and has 91 subscribers.

You will learn about In this course you will learn and understand Decorator which is one of the most advanced and tougher-to-understand programming concepts. Python resources management and how to safely write to and close the files. Python Generators usage for complex datasets. Python Lambda function that helps define a function in one line. Python functional programing that help to write simpler, shorter code, without necessarily needing to bother about intricacies like loops and branching How to process every element of a container while isolating the object from the internal structure of the container You will learn how to work with the iterator and understand the differences between object and iterator This course is ideal for individuals who are Beginner Python developers curious to become more advance Software Developer. It is particularly useful for Beginner Python developers curious to become more advance Software Developer.

Enroll now: The Complete Python Intermediate Features

Summary

Title: The Complete Python Intermediate Features

Price: $49.99

Average Rating: 4.75

Number of Lectures: 46

Number of Quizzes: 6

Number of Published Lectures: 46

Number of Published Quizzes: 6

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 52

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

In this course you will learn and understand Decorator which is one of the most advanced and tougher-to-understand programming concepts.
Python resources management and how to safely write to and close the files.
Python Generators usage for complex datasets.
Python Lambda function that helps define a function in one line.
Python functional programing that help to write simpler, shorter code, without necessarily needing to bother about intricacies like loops and branching
How to process every element of a container while isolating the object from the internal structure of the container
You will learn how to work with the iterator and understand the differences between object and iterator

Who Should Attend

Beginner Python developers curious to become more advance Software Developer.

Target Audiences

Beginner Python developers curious to become more advance Software Developer.

This course is designed for students who already have basic knowledge of python.

This course is the most comprehensive and modern course on Python development language, that focus on what you need to learn at the intermediate level without wasting your time. The course takes you from basic to an intermediate level within the dedicated section of intensively practical learning.

Whether you are a total beginner looking for a packaged Python development course at the intermediate level, or you are a web developer/programmer looking to improve your Python programming skills,or maybe a designer looking to learn how to code in Python, this course takes you step-by-step through python intermediate features. The course is based on a practical teaching method with a theoretical explanation. It’s both a complete guide, starting with the core intermediate features of the language, as well as an extensive reference of the Python technology language, ensuring that both beginners, as well as experienced Python developers, get a lot out of this course!

The fundamental is not the end of every programming course, of course, it is very important but not enough to feel confident using the programming language. Therefore, the major role of this course is to teach you about python’s core capabilities to become more sorted after Python Software Developers. During this course, you will be exposed to a lambda expression, decorator, iterator, map, filter, reduce, context-manager, generator and much more.

Course Curriculum

Chapter 1: Python Intermediate Features Course

Lecture 1: Preview-lecture

Lecture 2: Decorator

Lecture 3: Why Decorator

Lecture 4: Understanding Decorator

Lecture 5: Decorator Exercise-01

Lecture 6: Solution To Decorator Exercise-01

Lecture 7: Class Based Decorator

Lecture 8: Class Based Decorator- Code Example

Lecture 9: Implementation of a Class Decorator

Lecture 10: Lambda Function

Lecture 11: Coding Example 01- Lambda Function

Lecture 12: Difference between Lambda and Standard Function

Lecture 13: Understanding Lambda and Standard Function Together – Coding

Lecture 14: Lambda With Many Argument

Lecture 15: Extensive Coding Examples Into Lambda Functions

Lecture 16: Understanding more of Lambda Function

Lecture 17: Understanding Lambda usage with built-in function

Lecture 18: Converting a lambda function into Standard function and verse versa

Lecture 19: Solution to lambda Exercise 01

Lecture 20: Map Function

Lecture 21: Understanding the Map Function based on problem statement

Lecture 22: Understanding the Map Function by writing code

Lecture 23: Map Function Exercise

Lecture 24: Capitalize a list with Map function

Lecture 25: Filter Function

Lecture 26: Apply filter to filter an object

Lecture 27: Reduce function

Lecture 28: Aggregate numbers with reduce

Lecture 29: Aggregate numbers with loops

Lecture 30: Reduce min and max usage

Lecture 31: Map Reduce and Filter to solve a task

Lecture 32: Use map filter and lambda to add number to a list

Lecture 33: Logging

Lecture 34: Logging severity levels

Lecture 35: Log data into files using logging

Lecture 36: Generator and iterator

Lecture 37: Understand the usage of the python built in iter and next

Lecture 38: Implementing a custom iterator

Lecture 39: Code that shows in action generator and iterator and compare them

Lecture 40: In-depth code analyses on Fibonacci number with generator

Lecture 41: Create a built-in Range that behaves like python range

Lecture 42: Generator and Iterator points to always remember

Lecture 43: Context Manager

Lecture 44: Open and write to a file with context manager

Lecture 45: Implementation of custom context manager

Lecture 46: Understanding the __enter__ and __exit__ of the context manager

Instructors

Emmanuel A
Instructor

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 1 votes
5 stars: 16 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!

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