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Python Programming for Beginners - Learn Python Quickly

SynopsisPython Programming for Beginners : Learn Python Quickly, ava...
Python Programming for Beginners - Learn Quickly  No.1

Python Programming for Beginners : Learn Python Quickly, available at $49.99, has an average rating of 4.4, with 163 lectures, based on 23 reviews, and has 1099 subscribers.

You will learn about Python Development Environment Setup The command Line Interface Interacting with Python Python Expressions and Statements Python Variables and Operators Python Data Types and Data Structures Python Control Flow and Python Functions Python Modules and Packages Working with External Files in Python Working with Dates Times and Calendars in Python Working with Images in Python Working with CSV and PDF in Python Handling Errors and Exceptions Create various real world Python Projects This course is ideal for individuals who are Beginner Python Developers or Beginner Python Programmers or Beginners to Programming It is particularly useful for Beginner Python Developers or Beginner Python Programmers or Beginners to Programming.

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Summary

Title: Python Programming for Beginners : Learn Python Quickly

Price: $49.99

Average Rating: 4.4

Number of Lectures: 163

Number of Published Lectures: 163

Number of Curriculum Items: 163

Number of Published Curriculum Objects: 163

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

  • Python Development Environment Setup
  • The command Line Interface
  • Interacting with Python
  • Python Expressions and Statements
  • Python Variables and Operators
  • Python Data Types and Data Structures
  • Python Control Flow and Python Functions
  • Python Modules and Packages
  • Working with External Files in Python
  • Working with Dates Times and Calendars in Python
  • Working with Images in Python
  • Working with CSV and PDF in Python
  • Handling Errors and Exceptions
  • Create various real world Python Projects
  • Who Should Attend

  • Beginner Python Developers
  • Beginner Python Programmers
  • Beginners to Programming
  • Target Audiences

  • Beginner Python Developers
  • Beginner Python Programmers
  • Beginners to Programming
  • Python is a dynamic modern object-oriented programming language  and can be used to do a lot of things both big and small.   Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.   It is also known as a general purpose programming language due to it’s flexibility. Python is an interpreted language that does not need to be complied like for example java programming language. It is interpreted and run on the fly the same time.

    What can Python do?

    Python can be used on a server to create web applications.

    Python can be used alongside software to create workflows.

    Python can connect to database systems. It can also read and modify files.

    Python can be used to handle big data and perform complex mathematics.

    Python can be used for rapid prototyping, or for production-ready software development.

    Why Python?

  • Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).

  • Python has a simple syntax similar to the English language.

  • Python has syntax that allows developers to write programs with fewer lines than some other programming languages.

  • Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.

  • Python can be treated in a procedural way, an object-oriented way or a functional

  • Python has been used in a lot of places like in creating games, for statistical data and visualization,speech and face recognition.

  • Some of the biggest websites on this planet earth use python in one way or another. Examples include:

  • Google

  • YouTube

  • Facebook

  • NASA

  • Disney

  • Reddit

  • Instagram

  • Survey Monkey

  • Yahoo Maps

  • Topics covered include:

    Interacting with Python in various ways

    Python Operators

    Python Data Types

    Data type casting

    Python String Methods and Formatting

    Python Data Structures

    Python Functions

    Python Control Flow Statements

    Python Modules and Packages

    Working with external files in Python

    Working with dates and times

    Working with calendars

    Handling exception errors

    Projects we will create:

  • Lottery Number Simulator

  • Encryption program

  • Random Password Generator

  • Create a digital clock

  • Create a number guessing game

  • Create a random number generator

  • Create a countdown timer

  • Create a lottery number simulator

  • Screen break program

  • Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Overview of Programming in Python

    Lecture 2: Course Introduction

    Lecture 3: What is Python

    Lecture 4: High and low level programming languages

    Lecture 5: Compilers and interpreters

    Chapter 2: The Command Line Interface

    Lecture 1: What is the command line interface

    Lecture 2: How to open the command line interface

    Lecture 3: The prompt

    Lecture 4: How to display username of current user

    Lecture 5: How to display computer name

    Lecture 6: How to display current working directory

    Lecture 7: How to list files in directories

    Lecture 8: How to change directory

    Lecture 9: How to create a new directory

    Lecture 10: How to create a new file

    Lecture 11: How to copy files

    Lecture 12: How to move files

    Lecture 13: How to delete files and directories

    Chapter 3: Python Installation and Setup

    Lecture 1: Python Installation – Windows

    Lecture 2: Python3 Installation – Macs

    Lecture 3: Python3 Installation – Linux

    Lecture 4: PyCharm Installation – Windows

    Lecture 5: PyCharm Configuration for Windows – Part 1

    Lecture 6: PyCharm Configuration for Windows – Part 2

    Lecture 7: Changing Themes in PyCharm

    Lecture 8: PyCharm Installation – Macs

    Lecture 9: PyCharm Configuration for Macs

    Lecture 10: What are Text Editors

    Lecture 11: Installing Atom Text Editor

    Lecture 12: Installing Visual Studio Code Text Editor

    Lecture 13: Installing SublimeText

    Chapter 4: Interacting with Python

    Lecture 1: Interaction with Python : Part 1

    Lecture 2: Interaction with Python : Part 2

    Lecture 3: Python Expressions

    Lecture 4: Python Statements

    Lecture 5: Python Code Comments

    Lecture 6: Python Indentations

    Lecture 7: Python Variables

    Lecture 8: Capturing User Inputs

    Lecture 9: Algorithms

    Chapter 5: Python Operators

    Lecture 1: What are Python Operators

    Lecture 2: Python Arithmetic Operators

    Lecture 3: Python Assignment Operators

    Lecture 4: Python Comparison Operators

    Lecture 5: Python Logical Operators

    Lecture 6: Python Identity Operators

    Lecture 7: Python Membership Operators

    Lecture 8: Binary Numbers

    Lecture 9: Python Bitwise Operators: Part 1

    Lecture 10: Python Bitwise Operators: Part 2

    Lecture 11: Python Operator Precedence

    Chapter 6: Python Data Types

    Lecture 1: Number Data Type

    Lecture 2: String Data Type

    Lecture 3: Boolean Data Type

    Lecture 4: Casting Data Types

    Chapter 7: Python Data Stuctures

    Lecture 1: What are data structures

    Lecture 2: Python List

    Lecture 3: Creating a Python List

    Lecture 4: Accessing elements in a Python List

    Lecture 5: Python List Methods: Part 1

    Lecture 6: Python List Methods: Part 2

    Lecture 7: Python Tuple : Part 1

    Lecture 8: Python Tuple : Part 2

    Lecture 9: Python SET

    Lecture 10: Python SET Methods

    Lecture 11: Python Dictionary

    Lecture 12: Python Dictionary Methods

    Lecture 13: Create a directory for Python files

    Chapter 8: Python Control Flow

    Lecture 1: What is Control Flow

    Lecture 2: if statements

    Lecture 3: else statements

    Lecture 4: elif statements

    Lecture 5: while loops

    Lecture 6: for loops

    Lecture 7: nested for loops

    Lecture 8: break statement

    Lecture 9: continue statement

    Lecture 10: for loop and break statement

    Lecture 11: for loop and continue statement

    Lecture 12: for loop and else statement

    Lecture 13: for loop and range statement

    Chapter 9: Python Functions

    Lecture 1: What are Python Functions

    Lecture 2: Python return keyword

    Lecture 3: Default Parameter value

    Lecture 4: Keyword argument

    Lecture 5: Functions returning other functions

    Lecture 6: Assigning Functions to Variables

    Lecture 7: Global and Local Variable Scopes

    Lecture 8: Nesting Functions

    Lecture 9: Nesting functions accessing variable scope

    Lecture 10: Function Pass keyword

    Instructors

  • Python Programming for Beginners - Learn Quickly  No.2
    Bluelime Learning Solutions
    Making Learning Simple
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  • 4 stars: 10 votes
  • 5 stars: 11 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!