Core Python Programming Become a Python Professional

Core Python Programming – Become a Python Professional, available at $39.99, has an average rating of 4.3, with 68 lectures, based on 17 reviews, and has 86 subscribers.

You will learn about Core Python Programming Idea about real world applications of Python Creating Projects using Python Programming Language Object Oriented Programming Concepts for Python Programming Loops in Python Datatypes in Python Operators in Python Maths Library in Python This course is ideal for individuals who are Beginners who want to build their career as a Python developer or Students who have Python Language as a Subject in College or School It is particularly useful for Beginners who want to build their career as a Python developer or Students who have Python Language as a Subject in College or School.

Enroll now: Core Python Programming – Become a Python Professional

Summary

Title: Core Python Programming – Become a Python Professional

Price: $39.99

Average Rating: 4.3

Number of Lectures: 68

Number of Published Lectures: 68

Number of Curriculum Items: 68

Number of Published Curriculum Objects: 68

Original Price: ?5,900

Quality Status: approved

Status: Live

What You Will Learn

Core Python Programming

Idea about real world applications of Python

Creating Projects using Python Programming Language

Object Oriented Programming Concepts for Python Programming

Loops in Python

Datatypes in Python

Operators in Python

Maths Library in Python

Who Should Attend

Beginners who want to build their career as a Python developer

Students who have Python Language as a Subject in College or School

Target Audiences

Beginners who want to build their career as a Python developer

Students who have Python Language as a Subject in College or School

Syllabus – Core Python

Introduction of Python

Installing Python IDES – Python IDLE and Anaconda

Writing Your First Python Program

Data-types in Python

Variables in Python – Declaration and Use

Typecasting in Python

Operators in Python – Assignment, Logical, Arithmetic etc.

Taking User Input (Console)

Conditional Statements – If else and Nested If else and elif

Python Collections (Arrays) – List, Tuple, Sets and Dictionary

Loops in Python – For Loop, While Loop & Nested Loops

String Manipulation – Basic Operations, Slicing & Functions and Methods

User Defined Functions – Defining, Calling, Types of Functions, Arguments

Lambda Function

Importing Modules – Math Module

Syllabus – Object Oriented Programming in Python

Basics of Object Oriented Programming

Creating Class and Object

Constructors in Python – Parameterized and Non-parameterized

Inheritance in Python

In built class methods and attributes

Multi-Level and Multiple Inheritance

Method Overriding and Data Abstraction

Encapsulation and Polymorphism

This course is for those professionals who want to learn python for software development, web development and data analysis.

If you don’t have fundamental knowledge of python, you cannot start software development, web development and data analysis.

Python is a free and open source programming language that is really easy to learn. Python is used in many applications and it has a potential of generating jobs.  You should start learning python today.

Learn Core and Advanced Python programming with SQLITE3 and MySQL Database Administration; Create Software / Web Applications.

Course Curriculum

Chapter 1: Main Course

Lecture 1: Overview of the Core Python Course for Beginners

Lecture 2: Overview of Object Oriented Programming Part of the Course

Lecture 3: 1 Introduction of Python and Its Real world applications

Lecture 4: 2 Installing Python and writing your first program

Lecture 5: 3 Data Types in Python

Lecture 6: 4 Variables in Python

Lecture 7: Typecasting or Type Conversion in Python

Lecture 8: Typecasting or Type Conversion in Python Continued

Lecture 9: 8 Operators – Artithmetic Operators in Python

Lecture 10: 9 Assignment Operators in Python

Lecture 11: 10 Comparison Operators in Python

Lecture 12: Logical Operators in Python

Lecture 13: 11 Identity and Membership Operators main

Lecture 14: Bitwise Operators Part 1

Lecture 15: Bitwise Operator Left Shift and RIght Shift Part 2

Chapter 2: Collection Data Types – List, Tuple, Set and Dictionaries

Lecture 1: Collection Data Types – List Part 1

Lecture 2: Methods of List Class in Python

Lecture 3: Slicing in Python Lists – Get slices from list sequence

Lecture 4: Collection Data Types – Tuple in Python

Lecture 5: Collection Data Types – Set in Python

Lecture 6: Collection Data Types – Dictionary in Python Part 1

Lecture 7: Nested DIctionaries in Python Part 2

Lecture 8: Dictionary methods Part 3

Chapter 3: Loops in Python – For Loop and While Loop

Lecture 1: For Loop in Python Part 1

Lecture 2: Printing Tables using For Loop – An Example

Lecture 3: Installing Anaconda in Your Computer

Lecture 4: Nested For Loop and pass statement

Lecture 5: While Loop in Python

Chapter 4: Taking Input From Users in Python

Lecture 1: User input and if else elif part 1

Lecture 2: User Input and if, else, elif and nested if else with example

Chapter 5: User Defined Functions in Python

Lecture 1: User Defined Functions in Python Part 1

Lecture 2: User Defined Functions in Python Part 2

Lecture 3: User Defined Functions in Python Part 3

Lecture 4: Lambda Function in Python

Chapter 6: Strings in Python – Slicing and Methods

Lecture 1: Strings in Python Part 1

Lecture 2: Strip Method in Python String

Lecture 3: String Methods – lower()

Lecture 4: String Methods – upper() and capitalize()

Lecture 5: String Methods – casefold()

Lecture 6: String Methods – center()

Lecture 7: String Methods – count()

Lecture 8: String Methods – endswith()

Lecture 9: String Methods – encode() in Python

Lecture 10: String Methods – expandtabs() and find()

Lecture 11: String Methods – index isalnum isdigit isalpha method

Lecture 12: String Methods – isprintable isspace istitle

Lecture 13: String Methods – isidentifier() islower() and isnumeric()

Lecture 14: String Methods – isupper, join, lstrip and rstrip

Lecture 15: String Methods – partition()

Lecture 16: String methods – splitlines()

Lecture 17: String methods – startswith()

Lecture 18: String methods – swapcase(), title() and zfill

Chapter 7: Math module in Python

Lecture 1: Math Module in Python Part 1

Lecture 2: Math Module in Python Part 2

Lecture 3: Math Module in Python Part 3

Chapter 8: Creating your own modules in Python

Lecture 1: Creating your own module

Chapter 9: Object Oriented Programming in Python 3

Lecture 1: Creating Class and Objects in Python

Lecture 2: init Function and Modifying attributes of a class

Lecture 3: Class Constructor in Python

Lecture 4: Inheritance Concept

Lecture 5: In-built class functions

Lecture 6: In-built class attributes

Lecture 7: Inheritance continued and Multi Level Inheritance

Lecture 8: Multiple Inheritance in Python

Lecture 9: issubclass() and isinstance Method in OOP in Python

Lecture 10: Method overriding in Python

Lecture 11: Data Abstraction in Python

Lecture 12: Encapsulation and Polymorphism in Python OOP

Instructors

Ankit Srivastava
Digital Marketing Manager and Data Analyst @ Slidescope?

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2 stars: 1 votes

3 stars: 2 votes

4 stars: 4 votes

5 stars: 10 votes

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