Python for Beginners - Go from Java to Python in 100 Steps

Learn Python Programming using Your Java Skills. For Beginner Python Programmers.

What you'll 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

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.

WHATOURLEARNERSARESAYING:

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