The Ultimate Beginners Guide to Python Programming
The Ultimate Beginners Guide to Python Programming, available at Free, has an average rating of 4.4, with 21 lectures, based on 94 reviews, and has 6994 subscribers.
You will learn about Learn the basic syntax of Python programming language quickly and easily Solve practice exercises after each practical topic Implement the main Python operators: mathematical, logical, relational and conditional Create looping structures – "for" and "while" commands Learn how to implement functions Understand and implement the main Python collections, such as tuples, lists, dictionaries and sets This course is ideal for individuals who are Students who want to start their studies in the Python programming language or Computer programming beginners or People who want to learn basic Python syntax or Undergraduate students taking courses related to computer programming or People who need to learn the Python concepts quickly and easily It is particularly useful for Students who want to start their studies in the Python programming language or Computer programming beginners or People who want to learn basic Python syntax or Undergraduate students taking courses related to computer programming or People who need to learn the Python concepts quickly and easily.
Enroll now: The Ultimate Beginners Guide to Python Programming
Summary
Title: The Ultimate Beginners Guide to Python Programming
Price: Free
Average Rating: 4.4
Number of Lectures: 21
Number of Published Lectures: 21
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Learn the basic syntax of Python programming language quickly and easily
- Solve practice exercises after each practical topic
- Implement the main Python operators: mathematical, logical, relational and conditional
- Create looping structures – "for" and "while" commands
- Learn how to implement functions
- Understand and implement the main Python collections, such as tuples, lists, dictionaries and sets
Who Should Attend
- Students who want to start their studies in the Python programming language
- Computer programming beginners
- People who want to learn basic Python syntax
- Undergraduate students taking courses related to computer programming
- People who need to learn the Python concepts quickly and easily
Target Audiences
- Students who want to start their studies in the Python programming language
- Computer programming beginners
- People who want to learn basic Python syntax
- Undergraduate students taking courses related to computer programming
- People who need to learn the Python concepts quickly and easily
Python is one of the most used programming languages in the world and many companies are looking for developers who know it! It was created in 1991 by Guido van Rossum with the main objective of being simple and easy to learn, compared to other programming languages where the learning curve is much higher. Python language has gained a lot of popularity in recent years because it is suitable for many applications, such as: web development, artificial intelligence, data science, big data, computer graphics, among many others.
This free course was designed for those who are starting their studies in the Python programming language and do not have much time to take a bigger and more complete course. You will learn only the bases of this programming language. Take a look at the content that will be covered:
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Python installation
-
Five main IDEs (Integrated Development Environment) to work with Python
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Variables and constants
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Math operations
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Logical, relational and conditional operators
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Loops, such as the “for” and “while” commands
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Functions
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Main collections, such as lists, dictionaries, tuples and sets
Practical exercises are provided at the end of each topic, so you can practice what you learned during the lectures. The solution for every task is available for you to compare with your own implementations! We will use Google Colab on-line for the development of the examples, ensuring that you will not have problems with software installations or configurations on your local machine.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course content
Lecture 2: Introduction to Python
Chapter 2: Python programming
Lecture 1: Installation
Lecture 2: Python IDEs
Lecture 3: Source code
Lecture 4: Variables
Lecture 5: Mathematical operations
Lecture 6: HOMEWORK and solution
Lecture 7: Logical and relational operators
Lecture 8: Conditional operators
Lecture 9: HOMEWORK and solution
Lecture 10: Loops – for
Lecture 11: Loops – while
Lecture 12: HOMEWORK and solution
Lecture 13: Functions
Lecture 14: HOMEWORK and solution
Lecture 15: Tuples and lists
Lecture 16: Dictionaries and sets
Lecture 17: HOMEWORK and solution
Chapter 3: Final remarks
Lecture 1: Final remarks
Lecture 2: BONUS
Instructors
-
Jones Granatyr
Professor -
Guilherme Matos Passarini, phD
Professor -
AI Expert Academy
Instructor
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 4 votes
- 3 stars: 13 votes
- 4 stars: 32 votes
- 5 stars: 43 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!
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