Introduction to Python for Beginners
Introduction to Python for Beginners, available at $54.99, has an average rating of 3.95, with 70 lectures, 7 quizzes, based on 16 reviews, and has 119 subscribers.
You will learn about Put their skills into practice with a real Python project What is Python and why was it created. How Python fits into the diverse ecosystem of programming languages. The basic data types in Python – Strings, Integers, Floats, and Boolean All about Pythons built-in functions How to debug errors in Python How Variables and Functions work in Python How to use IF-Else Statements in Python All about storing complex data, including Lists and Dictionaries How to install Python locally How to write your first script in Python This course is ideal for individuals who are People looking to learn the Python Programming Language It is particularly useful for People looking to learn the Python Programming Language.
Enroll now: Introduction to Python for Beginners
Summary
Title: Introduction to Python for Beginners
Price: $54.99
Average Rating: 3.95
Number of Lectures: 70
Number of Quizzes: 7
Number of Published Lectures: 70
Number of Published Quizzes: 7
Number of Curriculum Items: 77
Number of Published Curriculum Objects: 77
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
- Put their skills into practice with a real Python project
- What is Python and why was it created.
- How Python fits into the diverse ecosystem of programming languages.
- The basic data types in Python – Strings, Integers, Floats, and Boolean
- All about Pythons built-in functions
- How to debug errors in Python
- How Variables and Functions work in Python
- How to use IF-Else Statements in Python
- All about storing complex data, including Lists and Dictionaries
- How to install Python locally
- How to write your first script in Python
Who Should Attend
- People looking to learn the Python Programming Language
Target Audiences
- People looking to learn the Python Programming Language
**Includes exercises and a Python Project!**
If you need to get a better tool for handling data, it’s time you got to know Python, and this Python for Beginners course is the perfect place to start.
Python is one of the most popular languages for data analysis and business intelligence. In this introductory course, we assume no prior knowledge and guide you through getting set up and started.
With practice exercises and a full end of course project to complete, you’ll quickly get to grips with this powerful programming language.
In this course, you will learn:
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The basic data types in Python – Strings, Integers, Floats, and Boolean
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All about Pythons built-in functions
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How Variables and Functions work in Python
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How to debug errors in Python
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All about Python Keywords
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How to use IF-Else Statements in Python
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All about storing complex data, including Lists and Dictionaries
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All about Python Modules and how to install them
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How to install Python locally
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How to write your first script in Python
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To complete your first Python project
This course includes:
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6 hours of video tutorials
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67 individual video lectures
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Exercise files to practice what you learned
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A Python projectat the end of the course to implement what you have learned
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Certificate of completion
Here’s what our students are saying…
“Very instructive, nice presentation with clear explanations. The Instructor voice is calm and can be understood very well.”
– Stefan
“Thank you for such a wonderful teaching. This is a great learning experience for me.”
– Ankush
Course Curriculum
Chapter 1: The Workplace Tech Divide
Lecture 1: Which Side of the Divide Are You On?
Lecture 2: WATCH ME: Essential Information for a Successful Training Experience
Lecture 3: DOWNLOAD ME: Course Exercise Files
Lecture 4: DOWNLOAD ME: Course Project Files
Lecture 5: Beginners Are Welcome
Lecture 6: Course Overview
Chapter 2: Introduction to Python
Lecture 1: What is Python?
Lecture 2: Python's Comparison to Other Programming Languages
Lecture 3: Examples of Python in the Workplace
Lecture 4: The Easiest Place to Practice Python
Lecture 5: Create an Account Online
Chapter 3: Basic Data Types
Lecture 1: Python Data Types
Lecture 2: Strings
Lecture 3: Integers
Lecture 4: Floats
Lecture 5: Boolean
Lecture 6: Data Types Exercise
Chapter 4: Python Built-In Functions
Lecture 1: What is a Built-In Function?
Lecture 2: Where to Look For Built-In Functions
Lecture 3: Most Common Built In Functions
Lecture 4: Built In Functions Exercise
Chapter 5: Variables and Functions
Lecture 1: Variables and Functions
Lecture 2: Storing Values as Variables
Lecture 3: Comparing Variables with Operators
Lecture 4: Basic Expressions
Lecture 5: Functions
Lecture 6: Commenting
Lecture 7: Variables and Functions Exercise
Chapter 6: Errors and Debugging
Lecture 1: What is an Error?
Lecture 2: Reading a Stack Trace
Lecture 3: Print Function
Lecture 4: Try and Except
Lecture 5: You Are Not Alone
Lecture 6: Errors Exercise
Chapter 7: Python Keywords
Lecture 1: Python Keywords
Lecture 2: Common keywords
Lecture 3: Global
Lecture 4: Keywords Exercise
Chapter 8: If-Else Statements
Lecture 1: Basic Logic
Lecture 2: Syntax and Inline Evaluation
Lecture 3: Value Evaluation
Lecture 4: Complex If-Else Statements
Lecture 5: If-Else Exercises
Chapter 9: Storing Complex Data
Lecture 1: Advanced Data Types
Lecture 2: Lists
Lecture 3: Dictionaries
Lecture 4: Looping: Lists
Lecture 5: Looping: Dictionaries
Lecture 6: Advanced Data Exercise
Chapter 10: Python Modules
Lecture 1: Python Modules
Lecture 2: Python Built In Modules
Lecture 3: Importing Modules
Chapter 11: Installing Python and Modules
Lecture 1: Python Environments
Lecture 2: Mac
Lecture 3: Windows
Lecture 4: IDEs
Lecture 5: Python Idle
Lecture 6: Managing files and folders
Lecture 7: Executing Scripts
Lecture 8: PIP
Chapter 12: Project: Automate Data Updates For a Spreadsheet
Lecture 1: Project Introduction
Lecture 2: Setting Up Project
Lecture 3: Reading and Writing to Excel Files
Lecture 4: Working with CSV Files
Lecture 5: Dynamic File Paths
Lecture 6: Transform and Validate Transactions
Lecture 7: Transfer and Save Transactions
Lecture 8: Clean Up the Code
Lecture 9: Hardening the Script
Chapter 13: Course Close
Lecture 1: What's Next?
Instructors
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Simon Sez IT
870,000+ Students, 260+ Courses, Learners in 180+ Countries
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- 3 stars: 5 votes
- 4 stars: 10 votes
- 5 stars: 1 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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