Python for Beginners Go from Java to Python in 100 Steps

Python for Beginners – Go from Java to Python in 100 Steps, available at $74.99, has an average rating of 4.64, with 103 lectures, based on 1580 reviews, and has 7632 subscribers.

You will learn about You will Acquire ALL the Python Skills needed to TRANSITION into Analytics, Machine Learning and Data Science Roles You will Acquire ALL the SKILLS to demonstrate an EXPERTISE with Python Programming in Your Job Interviews You will USE all your JAVA SKILLS and LEARN to write awesome PYTHON Programs very QUICKLY You will Learn Python the MODERN WAY – Step By Step – With 200 HANDS-ON Code Examples You will Understand the BEST PRACTICES in Writing High Quality Pythonic Code You will Solve a Wide Range of Hands-on Programming EXERCISES with Python You will learn about a wide variety of Python Data Structures – List, Set, Dictionary and Tuples You will Learn to Write AWESOME Object Oriented Programs with Python You will be introduced to a variety of Python Built-in Modules You will learn Exception Handling and Functional Programming with Python This course is ideal for individuals who are You have prior experience with Java and You would want want to learn Python Programming or You are a Beginner in Python Programming and would want to learn more about Python It is particularly useful for You have prior experience with Java and You would want want to learn Python Programming or You are a Beginner in Python Programming and would want to learn more about Python.

Enroll now: Python for Beginners – Go from Java to Python in 100 Steps

Summary

Title: Python for Beginners – Go from Java to Python in 100 Steps

Price: $74.99

Average Rating: 4.64

Number of Lectures: 103

Number of Published Lectures: 103

Number of Curriculum Items: 103

Number of Published Curriculum Objects: 103

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

You will Acquire ALL the Python Skills needed to TRANSITION into Analytics, Machine Learning and Data Science Roles

You will Acquire ALL the SKILLS to demonstrate an EXPERTISE with Python Programming in Your Job Interviews

You will USE all your JAVA SKILLS and LEARN to write awesome PYTHON Programs very QUICKLY

You will Learn Python the MODERN WAY – Step By Step – With 200 HANDS-ON Code Examples

You will Understand the BEST PRACTICES in Writing High Quality Pythonic Code

You will Solve a Wide Range of Hands-on Programming EXERCISES with Python

You will learn about a wide variety of Python Data Structures – List, Set, Dictionary and Tuples

You will Learn to Write AWESOME Object Oriented Programs with Python

You will be introduced to a variety of Python Built-in Modules

You will learn Exception Handling and Functional Programming with Python

Who Should Attend

You have prior experience with Java and You would want want to learn Python Programming

You are a Beginner in Python Programming and would want to learn more about Python

Target Audiences

You have prior experience with Java and You would want want to learn Python Programming

You are a Beginner in Python Programming and would want to learn more about Python

Python is one of the most popular programming languages for beginners. Python offers both object-oriented and structural programming features. Learning Python can be an awesome experience.

Learning Python will open up great options as a Programmer because Python is one of the most requested skills in 2020!

So, do you want to be a kickass Python programmer without a lot of effort? Do you have a little bit of Java Programming Experience?

Why not use your Java Programming Experience and learn Python Step by Step at F1 Speed?

I’m Ranga Karanam, the founder of in28minutes and Your Instructor for this awesome course. I’ve designed this Python Programming Masterclass just for you!

This Beginner Python Programming Course takes an hands-on Step By Step Approach using more that 100 Code Examples. We use a combination of Python Shell and PyCharm as an IDE to illustrate more than 100 Python Coding Exercises, Puzzles and Code Examples. We convert a number of Java Examples to Python.

WHAT OUR LEARNERS ARE SAYING:

5 STARS – The tutorial remains focused on what was promised in its title. The flow is quiet good and answers (almost) all the thought questions as and when it comes to mind. I feel transition to the lovely python syntax and capabilities, but difficult to start with for a java programmer, have been quiet nicely done in this tutorial. “Java programmers go for it.”

5 STARS –Detailed explanation with good hands-on. Best course for those who know Java and new to python, and want to learn by comparison.

5 STARS –Very informative course . The instructor does a great job explaining the details. I feel confident that I create Python programs with accepted standard patterns and style now.

5 STARS –Amazing course – very helpful in transitioning to Python from a Java mindset

5 STARS –A java developer can quickly go through all the videos without practicing any example[But recommended to do exercises if you have time and not really eager to know python]. Once you complete all the videos, you can come back and start referring/practicing as per your need.”

5 STARS –I think it was clearly laid out and well done. Lots of good ideas from an experienced software developer. Will look for more classes. Thank you.

5 STARS –“Great Course”

5 STARS –“I’m glad I took this course because a lot of projects that I’m working on now contain Python code as part of the project, and I want to understand what the code is doing. The instructor is easy well-organized and easy to follow.”

5 STARS –“In acquiring a new skill when you know an existing one, learning by comparison is the best way. Putting out Java and Python code side-by-side is like a short-circuit, but without the shocks!”

In about 100 Steps, we explore the most important Python Programming Language Features that every Beginner Python Programmer should know:

Basics of Python Programming – Expressions, Variables and Printing Output

Python Conditionals and If Statement

Methods – Parameters, Arguments and Return Values

Object Oriented Programming – Class, Object, State and Behavior

Basics of OOPS – Encapsulation, Inheritance and Abstract Class.

Basics about Python Data Types

Basics about Python Built in Modules

Conditionals with Python – If Else Statement, Nested If Else

Loops – For Loop, While Loop in Python, Break and Continue

Immutablity of Python Basic Types

Python Data Structures – List, Set, Dictionary and Tuples

Basics of Designing a Class – Class, Object, State and Behavior. Deciding State and Constructors.

Introduction to Exception Handling – try, except, else and finally. Exception Hierarchy. Throwing an Exception. Creating and Throwing a Custom Exception.

Here are the complete step by step details of the Java to Python Course:

Getting Started With Python

Step 01 –  Hello World in Python

Step 02 –  Hello World in Python –  Making Sense

Step 03 00 –  Importing-Java-Code-into-Eclipse

Step 03 01 –  Your First Python Method

Step 04 –  Your First Python Method –  A Few Tips

Step 05 –  Passing Parameters and Your First Python Loop

Step 06 –  Exercises with Python Methods and For Loop

Step 07 –  Python For Loop –  Puzzles

Step 08 –  Writing Java Example in Python –  Part 1

Step 09 –  Writing Java Example in Python –  Part 2

Step 10 –  Returning values from methods

Step 11 –  Introduction to Basic Data Types in Python

Step 12 –  Python is Strongly Typed and Dynamic Language

Step 13 –  Numberic Operators and Functions in Python

Step 14 –  Boolean Operators in Python

Step 15 –  Python Text Data Type –  String

Step 16 –  Data Type Conversion –  Puzzles

Step 17 –  Strings are immutable

Step 18 –  There is no seperate Character data type

Step 19 –  String module

Step 20 –  Exercise –  is_vowel, print lower case and upper case characters

Step 21 –  String –  Exercises and Puzzles

Conditionals and Loops

Step 22 –  Overview of Conditionals and Loops in Python

Step 23 –  Shortcut If Statement

Step 24 –  If Else and Elif in Python

Step 25 –  If Elif Exercise –  Java to Python

Step 26 –  Conditionals –  Java vs Python

Step 27 –  For Loop –  A Review

Step 28 –  For Loop –  A few examples

Step 29 –  While Loop in Python –  Introduction and Exercise

Step 30 –  Implementing Do While with While

Object Oriented Programming with Python

Step 31 –  OOPS in Python –  An overview

Step 32 –  Your First Python Class –  Empty Class and Instances

Step 33 –  Instance Variables and Constructors in Python

Step 34 –  Exercise –  Part 1 –  Add an attribute

Step 35 –  Exercise –  Part 2 –  Create a new Class

Step 36 –  Constructors in Python –  A few tips

Step 37 –  Adding instance methods

Step 38 –  OOPS Under the Hood

Step 39 –  Inheritance in Python

Step 40 –  Multiple Inheritance in Python

Step 41 –  Every class extends object

Step 42 –  Creating an Abstract Class

Step 43 –  Representing an Interface using Abstract Class

Step 44 –  Polymorphism and Duck Typing

Step 45 –  Static Variables at Class Level

Step 46 –  Static Methods in Python

Python Data Structures

Step 47 01 – Introduction to Data Structures in Python

Step 47 02 –  Operations on List Data Structure

Step 48 –  Puzzles with Strings Lists

Step 49 –  List Slicing

Step 50 –  List Sorting, Looping and Reversing

Step 51 –  List as a Stack and Queue

Step 52 –  List with a custom class –  Country and representation TODO EDIT

Step 53 –  List with a custom class –  Part 2 –  sorting, max and min

Step 54 –  List Comprehension

Step 55 –  Introduction to Set

Step 56 –  Introduction to Dictionary

Step 57 –  Puzzles with Data Structures

Step 58 –  Tuples

Exception Handling in Python

Step 59 –  Part 1 –  Overview of Exception Handling

Step 59 –  Part 2 –  Exceptions in Python

Step 60 –  Exception Handling with try except else finally block

Step 61 –  Throwing Custom Exceptions in Python

Functional Programming

Step 62 –  Functions are First Class Citizens in Python

Step 63 –  Introduction to Lambdas

Step 64 –  Filtering a list using filter method

Step 65 –  Mapping a List with map method

Step 66 –  Reduce a List to one result value

Step 67 –  Combining map, filter and reduce –  Example 1

Step 68 –  Combining map, filter and reduce –  Example 2

Python Tips

Step 69 –  Tip 1 –  Using Predefined Python Modules

Step 70 –  Tip 2 –  Math Module and Decimal Class

Step 71 –  Tip 3 –  Statistics Module –  find mean and median

Step 72 –  Tip 4 –  Collections Module –  deque for Queue and Stack

Step 73 –  Tip 5 –  Date Module

Step 74 –  Tip 1 –  Loop –  Getting Index Element

Step 75 –  Tip 2 –  Enum in Python

Step 76 –  Tip 3 –  Methods and Arguments –  Basics

Step 77 –  Tip 4 –  Methods and Arguments –  Keyword Arguments

Step 78 –  Tip 5 –  Methods and Arguments –  Unpacking Lists and Dictionaries

Step 79 –  Tip 6 –  PEP8 –  Python Style Guide

Step 80 –  Tip 7 –  PEP20 –  Zen of Python

Step 81 –  Tip 8 –  Creating Custom Modules and Using Them

Step 82 –  Tip 9 –  None

Step 83 –  Tip 10 –  repr vs str

Step 84 –  Tip 11 –  No Switch in Python

Step 85 –  Tip 12 –  Generating Random Values in Python

Step 86 – Tip-13 Returning Multiple Values using Tuples v02

Step 87 –  Tip 14 –  Implementing Data Classes with namedtuple

Step 88 –  Tip 15 –  Getters and Setters is Python Anti Pattern

Step 89 –  Tip 16 –  Implementing Property Decorators

Step 90 –  Tip 17 –  Operator Overloading –  Adding and Subtracting amounts

Step 91 –  Tip 18 –  Operator Overloading –  Other Operators

Step 92 –  Tip 19 –  Comparing equality of objects

Step 93 –  Tip 20 –  Using greater than and less than to compare objects

Step 94 –  Tip 21 –  Total Ordering –  Simplifying object comparison

Course Curriculum

Chapter 1: Introduction

Lecture 1: Step 00 01 – Introduction-to-the-Course

Lecture 2: Step 00 02 – Introduction-to-the-Course-Guide

Lecture 3: Step 00 03 – Installing Python 3 and Launch Python Shell

Lecture 4: Step 00 04 – Installing PyCharm

Chapter 2: Getting Started With Python

Lecture 1: Step 01 – Hello World in Python

Lecture 2: Step 02 – Hello World in Python – Making Sense

Lecture 3: Step 03 00 – Importing-Java-Code-into-Eclipse

Lecture 4: Step 03 01 – Your First Python Method

Lecture 5: Step 04 – Your First Python Method – A Few Tips

Lecture 6: Step 05 – Passing Parameters and Your First Python Loop

Lecture 7: Step 06 – Exercises with Python Methods and For Loop

Lecture 8: Step 07 – Python For Loop – Puzzles

Lecture 9: Step 08 – Writing Java Example in Python – Part 1

Lecture 10: Step 09 – Writing Java Example in Python – Part 2

Lecture 11: Step 10 – Returning values from methods

Lecture 12: Step 11 – Introduction to Basic Data Types in Python

Lecture 13: Step 12 – Python is Strongly Typed and Dynamic Language

Lecture 14: Step 13 – Numberic Operators and Functions in Python

Lecture 15: Step 14 – Boolean Operators in Python

Lecture 16: Step 15 – Python Text Data Type – String

Lecture 17: Step 16 – Data Type Conversion – Puzzles

Lecture 18: Step 17 – Strings are immutable

Lecture 19: Step 18 – There is no seperate Character data type

Lecture 20: Step 19 – String module

Lecture 21: Step 20 – Exercise – is_vowel, print lower case and upper case characters

Lecture 22: Step 21 – String – Exercises and Puzzles

Chapter 3: Conditionals and Loops

Lecture 1: Step 22 – Overview of Conditionals and Loops in Python

Lecture 2: Step 23 – Shortcut If Statement

Lecture 3: Step 24 – If Else and Elif in Python

Lecture 4: Step 25 – If Elif Exercise – Java to Python

Lecture 5: Step 26 – Conditionals – Java vs Python

Lecture 6: Step 27 – For Loop – A Review

Lecture 7: Step 28 – For Loop – A few examples

Lecture 8: Step 29 – While Loop in Python – Introduction and Exercise

Lecture 9: Step 30 – Implementing Do While with While

Chapter 4: Object Oriented Programming with Python

Lecture 1: Step 31 – OOPS in Python – An overview

Lecture 2: Step 32 – Your First Python Class – Empty Class and Instances

Lecture 3: Step 33 – Instance Variables and Constructors in Python

Lecture 4: Step 34 – Exercise – Part 1 – Add an attribute

Lecture 5: Step 35 – Exercise – Part 2 – Create a new Class

Lecture 6: Step 36 – Constructors in Python – A few tips

Lecture 7: Step 37 – Adding instance methods

Lecture 8: Step 38 – OOPS Under the Hood

Lecture 9: Step 39 – Inheritance in Python

Lecture 10: Step 40 – Multiple Inheritance in Python

Lecture 11: Step 41 – Every class extends object

Lecture 12: Step 42 – Creating an Abstract Class

Lecture 13: Step 43 – Representing an Interface using Abstract Class

Lecture 14: Step 44 – Polymorphism and Duck Typing

Lecture 15: Step 45 – Static Variables at Class Level

Lecture 16: Step 46 – Static Methods in Python

Chapter 5: Python Data Structures

Lecture 1: Step 47 01 – Introduction to Data Structures in Python

Lecture 2: Step 47 01 – Operations on List Data Structure

Lecture 3: Step 48 – Puzzles with Strings Lists

Lecture 4: Step 49 – List Slicing

Lecture 5: Step 50 – List Sorting, Looping and Reversing

Lecture 6: Step 51 – List as a Stack and Queue

Lecture 7: Step 52 – List with a custom class – Country and representation

Lecture 8: Step 53 – List with a custom class – Part 2 – sorting, max and min

Lecture 9: Step 54 – List Comprehension

Lecture 10: Step 55 – Introduction to Set

Lecture 11: Step 56 – Introduction to Dictionary

Lecture 12: Step 57 – Puzzles with Data Structures

Lecture 13: Step 58 – Tuples

Chapter 6: Exception Handling in Python

Lecture 1: Step 59 – Part 1 – Overview of Exception Handling

Lecture 2: Step 59 – Part 2 – Exceptions in Python

Lecture 3: Step 60 – Exception Handling with try except else finally block

Lecture 4: Step 61 – Throwing Custom Exceptions in Python

Chapter 7: Functional Programming

Lecture 1: Step 62 – Functions are First Class Citizens in Python

Lecture 2: Step 63 – Introduction to Lambdas

Lecture 3: Step 64 – Filtering a list using filter method

Lecture 4: Step 65 – Mapping a List with map method

Lecture 5: Step 66 – Reduce a List to one result value

Lecture 6: Step 67 – Combining map, filter and reduce – Example 1

Lecture 7: Step 68 – Combining map, filter and reduce – Example 2

Chapter 8: Built-In Python Modules

Lecture 1: Step 69 – Tip 1 – Using Predefined Python Modules

Lecture 2: Step 70 – Tip 2 – Math Module and Decimal Class

Lecture 3: Step 71 – Tip 3 – Statistics Module – find mean and median

Lecture 4: Step 72 – Tip 4 – Collections Module – deque for Queue and Stack

Lecture 5: Step 73 – Tip 5 – Date Module

Chapter 9: Python Tips

Lecture 1: Step 74 – Tip 1 – Loop – Getting Index Element

Lecture 2: Step 75 – Tip 2 – Enum in Python

Lecture 3: Step 76 – Tip 3 – Methods and Arguments – Basics

Lecture 4: Step 77 – Tip 4 – Methods and Arguments – Keyword Arguments

Lecture 5: Step 78 – Tip 5 – Methods and Arguments – Unpacking Lists and Dictionaries

Lecture 6: Step 79 – Tip 6 – PEP8 – Python Style Guide

Lecture 7: Step 80 – Tip 7 – PEP20 – Zen of Python

Lecture 8: Step 81 – Tip 8 – Creating Custom Modules and Using Them

Lecture 9: Step 82 – Tip 9 – None

Lecture 10: Step 83 – Tip 10 – repr vs str

Lecture 11: Step 84 – Tip 11 – No Switch in Python

Instructors

in28Minutes Official
DevOps, Azure, GCP, Docker, Kubernetes, Java & Spring Boot

Rating Distribution

1 stars: 15 votes

2 stars: 13 votes

3 stars: 140 votes

4 stars: 625 votes

5 stars: 787 votes

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