Python For Beginners Course In-Depth

Python For Beginners Course In-Depth

Python For Beginners Course In-Depth

This course is a depth introduction to both fundamental python programming concepts and the Python programming language.

Language: english

Note: 4.0/5 (1,678 notes) 176,447 students

Instructor(s): Horizon Tech

Last update: 2020-10-15

What you’ll learn

  • Getting Started, Python From Command line, Values and Data Types, Operators and Operands, Function Calls
  • Write scripts for general productivity tasks Read and comprehend Python code Gain knowledge in regard to general programming concepts
  • Use variables to store, retrieve and calculate information
  • Data Types, Type Conversion, Functions, Statements and Expressions
  • Mathematical Function, Random Number Function, Trigonometric Functions, Trigonometric Inverse Functions
  • CGI Programming, Web Server Configuration

 

Requirements

  • Only the very basic computer skills are needed
  • A computer, Access to the internet, An interest in learning Python

 

Description

This course is a depth introduction to fundamental python programming concepts.

Learn Python From Beginner To Advanced Level

  • I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.

    The course starts with the basics, including Python fundamentals, programming, and user interaction.


    The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.


  • The topics covered in this course are:

    * Beginner to Expert Python contents:


    Array implementation

    File methods

    Keywords and Identifiers

    Python Tuples

    Python Basics

    Python Fundamentals

    Mathematical Functions

    Data Structures

    Object-Oriented Programming with Python

    Functional Programming with Python

    Lambdas

    Decorators

    Generators

    Testing in Python

    Debugging

    Error Handling

    Regular Expressions

    Comprehensions

    Modules

  • See you inside the course!

 

Who this course is for

  • For Complete Programming Beginners
  • For People New to Python
  • For People Who want to learn Python Fundamentals and later transition into Data Science or Web Development

 

Course content

  • Python For Beginners Course In-Depth
    • Tutorial 1-Python From Command Line
    • Tutorial 2-Python Script From Command Line
    • Tutorial 3-Python Command Line Options
    • Tutorial 3- Python Variables and constants
    • Tutorial 4-Python Language Overview
    • Tutorial 4-Python Class And Objects(demonstration)
    • Tutorial 5-IDLE Interactive Shell
    • Tutorial 6-Python Basic Syntax
    • Tutorial 7-Python Keywords
    • Tutorial 8-python Lines And Indentation
    • Tutorial 9-Python Identifiers
    • Tutorial 10-Python Quotations
    • Tutorial 11-Python Multiline Statements
    • Tutorial 12-Python Command line Argument
    • Tutorial 13-Python Standard Data Types
    • Tutorial 14-Python Numbers
    • Tutorial 15-Python Mathematical Functions
    • Tutorial 16-Python Random Number Functions
    • Tutorial 17-Python Trignometric Functions
    • Tutorial 18-Python Mathematical Constants
    • Tutorial 19-Trigonometric Inverse Functions
    • Tutorial 20-Trigonometric Misc Functions
    • Tutorial 21-Python Operators
    • Tutorial 22-Python Arithmetic Operators
    • Tutorial 23-Python Bitwise Operators
    • Tutorial 24-Python Logical Operators
    • Tutorial 25-Python Membership Operators
    • Tutorial 26-Python Identity Operators
    • Tutorial 27-Python Operator Precedence
    • Tutorial 28-Python Strings
    • Tutorial 29-String Basic Operators
    • Tutorial 30-String Formatting Operators
    • Tutorial 31-Python Triple Quotes
    • Tutorial 32-String Encoding Functions
    • Tutorial 33-Python List
    • Tutorial 34-Access Update & Delete List
    • Tutorial 35-Basic List Operations
    • Tutorial 36-Indexing, Slicing & Matrixes
    • Tutorial 37- Python List Methods
    • Tutorial 38-Built in List Functions
    • Tutorial 39-Python Decision Making
    • Tutorial 40-Python If Statement
    • Tutorial 41-Python if else statement
    • Tutorial 42-Python if elif else statement
    • Tutorial 43-Python single statement suites
    • Tutorial 44-Python Loops
    • Tutorial 45-Python While loop
    • Tutorial 46-python Infinite While Loop
    • Tutorial 47-while loop else statement
    • Tutorial 48-While Loop Single Statement Suites.
    • Tutorial 49-Python for loop
    • Tutorial 50-For Loop Using rang() Function
    • Tutorial 51-for loop iterating by sequence index.
    • Tutorial 52-Python Nested loops
    • Tutorial 53-Loop control statement
    • Tutorial 54-Break Statement.
    • Tutorial 55-Continue Statement
    • Tutorial 56-Python Pass Statement
    • Tutorial 57-Using Else with For Loop
    • Tutorial 58-Python Tuple
    • Tutorial 59-Tuple update and delete
    • Tutorial 60-Tuple Basic Operations
    • Tutorial 61-Tuple Indexing and Slicing
    • Tutorial 62-Tuple No Enclosing Delimiters
    • Tutorial 63-Tuple Build-In Function
    • Tutorial 64-Python Dictionary
    • Tutorial 65-Python Update and Delete
    • Tutorial 66-Properties Of Dictionary keys
    • Tutorial 67-Dictionary Functions
    • Tutorial 68-Python Dictionary Methods
    • Tutorial 69-Python Functions
    • Tutorial 70-Parameter Pass by reference
    • Tutorial 71-Python Required Arguments
    • Tutorial 72-Keywords Arguments.
    • Tutorial 73-Default Arguments
    • Tutorial 74-Anonymous Function
    • Tutorial 75-The Return Argument
    • Tutorial 76-Scope of variables.
    • Tutorial 77-Python Module
    • Tutorial 78-Executing Module as Script
    • Tutorial 79-Python Loading Modules
    • Tutorial 80-Namespace And Scoping
    • Tutorial 81- Packages in python

 

Python For Beginners Course In-Depth

IBM Cybersecurity Analyst [Coursera with IBM]

Time remaining or 11 enrolls left

 

Don’t miss any coupons by joining our Telegram group 

Udemy Coupon Code 100% off | Udemy Free Course | Udemy offer | Course with certificate