Python for Beginners_4

Python for Beginners, available at $44.99, has an average rating of 4.3, with 65 lectures, based on 419 reviews, and has 3560 subscribers.

You will learn about How to use the Python Shell How to use interactive mode in Python How to develop and run programs in the IDLE editor How to run Python scripts directly from the command line How to use the print() function How to use separators and new line characters to modify command line output Assign variables of different types Understand integer, floating point, complex and string variables Be able to extract substrings Easily concatenate strings Create Lists and Tuples Create key value pairs and store them in dictionaries Understand mathematical operators used in Python Apply the order of operations to mathematical operations Utilize comparison operators to determine logical outcomes Use logical operators to join comparisons Write conditional statements to correctly branch code Use If, else and else if statements to apply branching Understand how and when to used nested if statements Use the shortcut Ternary operator Be able to use looping structures effectively Create While loops Be able to use For loops to loop through an objects properties Be able to construct nested loops and understand their utility. Cast variables from one type to another using built-in Python functions Use the Mathematical functions within Python to evaluate expressions Randomize numbers and selections with the Randomization tools Use Python String functions such as find(), join() and split() Create immutable tuples Access values within tuples Use tuple functions to manipulate tuple data Declare a dictionary and populate it with key/value pairs Access and edit values within dictionaries Extract date and time information from the time tuple Use the calendar object to work with calendar related information Create custom functions Send arguments to functions using order or keyword Create default function arguments Read and obtain keyboard input Read from a text file and process the data in Python Write to a text file from Python Append to a text file Handle exceptions with try/except/else in Python Use Python within the cgi-bin or a web server Process form data from Python This course is ideal for individuals who are First time Python programmers or Students and Teachers or IT pros who want to learn to code or Aspiring data scientists who want to add Python to their tool arsenal It is particularly useful for First time Python programmers or Students and Teachers or IT pros who want to learn to code or Aspiring data scientists who want to add Python to their tool arsenal.

Enroll now: Python for Beginners

Summary

Title: Python for Beginners

Price: $44.99

Average Rating: 4.3

Number of Lectures: 65

Number of Published Lectures: 64

Number of Curriculum Items: 65

Number of Published Curriculum Objects: 64

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

How to use the Python Shell

How to use interactive mode in Python

How to develop and run programs in the IDLE editor

How to run Python scripts directly from the command line

How to use the print() function

How to use separators and new line characters to modify command line output

Assign variables of different types

Understand integer, floating point, complex and string variables

Be able to extract substrings

Easily concatenate strings

Create Lists and Tuples

Create key value pairs and store them in dictionaries

Understand mathematical operators used in Python

Apply the order of operations to mathematical operations

Utilize comparison operators to determine logical outcomes

Use logical operators to join comparisons

Write conditional statements to correctly branch code

Use If, else and else if statements to apply branching

Understand how and when to used nested if statements

Use the shortcut Ternary operator

Be able to use looping structures effectively

Create While loops

Be able to use For loops to loop through an objects properties

Be able to construct nested loops and understand their utility.

Cast variables from one type to another using built-in Python functions

Use the Mathematical functions within Python to evaluate expressions

Randomize numbers and selections with the Randomization tools

Use Python String functions such as find(), join() and split()

Create immutable tuples

Access values within tuples

Use tuple functions to manipulate tuple data

Declare a dictionary and populate it with key/value pairs

Access and edit values within dictionaries

Extract date and time information from the time tuple

Use the calendar object to work with calendar related information

Create custom functions

Send arguments to functions using order or keyword

Create default function arguments

Read and obtain keyboard input

Read from a text file and process the data in Python

Write to a text file from Python

Append to a text file

Handle exceptions with try/except/else in Python

Use Python within the cgi-bin or a web server

Process form data from Python

Who Should Attend

First time Python programmers

Students and Teachers

IT pros who want to learn to code

Aspiring data scientists who want to add Python to their tool arsenal

Target Audiences

First time Python programmers

Students and Teachers

IT pros who want to learn to code

Aspiring data scientists who want to add Python to their tool arsenal

See why over 350,000 Udemy members learn coding from Mark Lassoff!

Few programming languages provide you with the flexibility and pure power of Python.

If you’re becoming a professional developer, or are early in your development career, adding the Python skill set isn’t just a resume embellishment– It’s an empowering language that will allow you to write procedural code in many types of environments and for many uses.

Python is commonly used for server-side programming for complex web applications or as a middle tier language providing web services or a communication layer with larger ecommerce systems. That being said, it’s also a great language for beginners. The clear syntax makes it very easy to learn, and the powerful libraries make all types of programming possible. There are libraries for everything from games and graphics to complex mathematics to network and embedded programming.

Watch, Learn and Do

Programming is not a spectator sport and if you want to learn Python well, this course contains everything you need.

Skill-oriented instructor-led lectures will demonstrate each important Python skill. You’ll be able to study and modify the code on your own to cement each topic. Python code coding lab exercises will familiarize you not just with Python syntax, but how real problem-solving in Python is done. You’ll complete a more comprehensive project to help you integrate the different skills that are part of core Python.

Course Curriculum

Chapter 1: Getting Started

Lecture 1: About the Instructor

Lecture 2: Quick Start: Writing Your First Python Program

Lecture 3: Using the Shell Window

Lecture 4: Writing Code in the Editor Window

Lecture 5: Executing Python on the Command Line

Chapter 2: Output

Lecture 1: Section Introduction

Lecture 2: The print() Function

Lecture 3: Separators and Newlines

Chapter 3: Variables

Lecture 1: Section Introduction

Lecture 2: Variable Assignment

Lecture 3: Number Variables (Int, float and complex)

Lecture 4: String Variables

Lecture 5: Substrings and Concatenation

Lecture 6: Variables with Lists, Tuples and Dictionaries

Chapter 4: Operators

Lecture 1: Section Introduction

Lecture 2: Python Mathemtical Operators

Lecture 3: Order of Operations

Lecture 4: Python Comparison Operators

Lecture 5: Python Logical Operators

Chapter 5: Code Branching

Lecture 1: Section Introduction

Lecture 2: Simple If Statements

Lecture 3: If. Else Statements

Lecture 4: Nested If Statements

Lecture 5: Ternary Operator

Chapter 6: Loops

Lecture 1: Section Introduction

Lecture 2: While Loops

Lecture 3: For Loops

Lecture 4: Nested Loops

Lecture 5: Break and Continue Statements

Chapter 7: Math Functions

Lecture 1: Section Introduction

Lecture 2: Casting Functions

Lecture 3: Mathematical Functions

Lecture 4: Random Functions

Chapter 8: Python String Functions

Lecture 1: Section Introduction

Lecture 2: capitalize(), center() and count()

Lecture 3: find(), isalpha(), isdigit()

Lecture 4: join(), len(), split()

Chapter 9: Tuples and Dictionaries

Lecture 1: Section Introduction

Lecture 2: Creating Tuples

Lecture 3: Accessing Values in Tuples

Lecture 4: Tuple Functions

Lecture 5: Declaring a Dictionary

Lecture 6: Accessing and Editing Values in Dictionaries

Lecture 7: Dictionary Functions

Chapter 10: Time and Date

Lecture 1: Section Introduction

Lecture 2: The Time Tuple

Lecture 3: The Calendar

Lecture 4: Time and Calendar Functions

Chapter 11: Python Functions

Lecture 1: Section Introduction

Lecture 2: Defining and Calling a Simple Function

Lecture 3: Required Argument Functions

Lecture 4: Keyword Argument Functions

Lecture 5: Default Function Arguments

Lecture 6: Return Statement

Lecture 7: Creating and Consuming Python Modules

Chapter 12: Input/Output

Lecture 1: Section Introduction

Lecture 2: Reading Keyboard Input

Lecture 3: Reading an External Text File

Lecture 4: Writing an External Text File

Chapter 13: More with Python

Lecture 1: Section Introduction

Lecture 2: Handling Exceptions

Lecture 3: Web Server Coding with Python

Lecture 4: Processing Form Data in Python

Lecture 5: Wrap up and Goodbye

Instructors

SkillSprints Inc.
Closing the Digital Skills Gap

Mark Lassoff
Programming Instructor with over 500,000 students worldwide.

Rating Distribution

1 stars: 3 votes

2 stars: 15 votes

3 stars: 39 votes

4 stars: 153 votes

5 stars: 209 votes

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