Python Essentials for Data Science and Robotics
Python Essentials for Data Science and Robotics, available at $44.99, has an average rating of 4.29, with 11 lectures, based on 7 reviews, and has 13 subscribers.
You will learn about In this course, students will learn the different datatypes as employed in the python programming language as well as how to create and store data in python Learners of this course will also learn about logical operators as well as other logical conditions that can be used to control the flow of a typical program In this course, learners will learn how to create as well as work with the different data structures in python such as List, Tuples, Dictionaries, Variable etc Finally, learners of this course will become familiar with built-in functions as well as be able to create their own functions to give programs functionalities This course is ideal for individuals who are This course is for those looking forward work in a python environment but lack the essentials to reading, understnding and writing python programs It is particularly useful for This course is for those looking forward work in a python environment but lack the essentials to reading, understnding and writing python programs.
Enroll now: Python Essentials for Data Science and Robotics
Summary
Title: Python Essentials for Data Science and Robotics
Price: $44.99
Average Rating: 4.29
Number of Lectures: 11
Number of Published Lectures: 11
Number of Curriculum Items: 11
Number of Published Curriculum Objects: 11
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- In this course, students will learn the different datatypes as employed in the python programming language as well as how to create and store data in python
- Learners of this course will also learn about logical operators as well as other logical conditions that can be used to control the flow of a typical program
- In this course, learners will learn how to create as well as work with the different data structures in python such as List, Tuples, Dictionaries, Variable etc
- Finally, learners of this course will become familiar with built-in functions as well as be able to create their own functions to give programs functionalities
Who Should Attend
- This course is for those looking forward work in a python environment but lack the essentials to reading, understnding and writing python programs
Target Audiences
- This course is for those looking forward work in a python environment but lack the essentials to reading, understnding and writing python programs
Python is a popular general-purpose programming language. It is used in Data Science, Robotics, Machine Learning, Web Development, Desktop Applications, and many other fields. Fortunately for beginners, Python has a simple, easy-to-use syntax. This makes Python a great language to learn for beginners.
Python Essentials for Data Science and Robotics tutorials will cover all the fundamental concepts of Python. And by the end, you will be comfortable creating projects in Python.
About Python Programming
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Free and open-source – You can freely use and distribute Python, even for commercial use.
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Easy to learn – Python has a very simple and elegant syntax. It’s much easier to read and write Python programs compared to other languages like C++, Java, C#.
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Portable – You can move Python programs from one platform to another, and run it without any changes.
Why Learn Python?
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Python is easy to learn. Its syntax is easy and code is very readable.
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Python has a lot of applications. It’s used for developing web applications, data science, robotics, and so on.
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Python allows you to write programs in fewer lines of code than most of the programming languages.
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The popularity of Python is growing rapidly. Now it’s one of the most popular programming languages.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Setting Up a Development Environment (Spyder IDE)
Chapter 2: Python Variables
Lecture 1: Python Variables Explained
Chapter 3: Python Datatypes
Lecture 1: Python Datatypes Explained
Chapter 4: Python Operations
Lecture 1: Mathematical and Logical Operators
Chapter 5: Python Control Flow
Lecture 1: Logical Conditions and Control Flow (If Elif Else)
Chapter 6: Python Data Structures
Lecture 1: Python List
Lecture 2: Python Tuple and Dictionaries
Chapter 7: Python Loops and Iterations
Lecture 1: Python For Loops (List)
Lecture 2: Python For Loops (Tuple)
Lecture 3: Python For Loops (Dictionaries)
Chapter 8: Python Functions
Lecture 1: Working with Built-in and Custom Functions
Instructors
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Kenneth F. Owusu Adubobi
Zend Certified PHP Engineer ZEND031451
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 4 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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