Python for Beginners
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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