Python 3 Crash Course
This crash course is designed for experienced programmers looking to quickly learn the fundamentals of Python 3. It provides an intense introduction to the language, allowing users to quickly become proficient in Python. ▼
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Course Feature
Cost:
Free
Provider:
Eduonix
Certificate:
No Information
Language:
English
Course Overview
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Updated in [March 06th, 2023]
This course provides an introduction to the Python 3 programming language. Participants will learn how to execute Python files, understand the basics of math, variables, syntax, and comments, and become familiar with common data types, indexing, formatting, and files. Additionally, participants will learn about list comprehensions, loops, and functions, as well as packages, classes (OOP) and try/except. By the end of the course, participants will have a better understanding of the Python 3 language and be able to apply it to their own projects.
[Applications]
After completing this course, students should be able to apply their knowledge of Python 3 to create programs and scripts. They should be able to use math, variables, syntax, and comments to create programs. They should also be able to use common data types, indexing, formatting, and files to create programs. Additionally, they should be able to use list comprehensions, loops, and functions to create programs. Finally, they should be able to use packages, classes (OOP) and try/except to create programs.
[Career Paths]
1. Data Scientist: Data Scientists use Python to analyze large datasets and uncover trends and insights. They use a variety of tools and techniques, such as machine learning, natural language processing, and data visualization, to gain insights from data. As data becomes increasingly important in the business world, the demand for Data Scientists is growing rapidly.
2. Software Developer: Software Developers use Python to create applications and websites. They use Python to write code, debug, and test applications. Python is a versatile language that can be used to create a wide variety of applications, from web applications to mobile apps.
3. Machine Learning Engineer: Machine Learning Engineers use Python to develop and deploy machine learning models. They use Python to build algorithms, train models, and deploy them in production. As machine learning becomes more popular, the demand for Machine Learning Engineers is increasing.
4. Web Developer: Web Developers use Python to create websites and web applications. They use Python to write code, debug, and test applications. Python is a versatile language that can be used to create a wide variety of web applications, from simple websites to complex web applications.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides a comprehensive overview of computer science fundamentals, including programming languages, software engineering, computer architecture, and algorithms. It also covers topics such as artificial intelligence, machine learning, and data science. With the increasing demand for software development and data analysis, this degree path is becoming increasingly popular.
2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. It also provides an in-depth understanding of Python and its libraries, which are essential for data science projects.
3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and their applications. It covers topics such as natural language processing, computer vision, and robotics. It also provides an in-depth understanding of Python and its libraries, which are essential for developing AI applications.
4. Master of Science in Software Engineering: This degree path focuses on the development of software applications. It covers topics such as software design, software development, and software testing. It also provides an in-depth understanding of Python and its libraries, which are essential for developing software applications.
Course Syllabus
Where is Python Used?
Installing Python
Running Python Files
Python Shell
Basic Math
Variables
Indentation
Interactive Python
Data Types
Indexing
Comments
String Formatting
Files
Comparison Operators (Conditionals)
For Loops
While Loops
List Comprehensions
Functions
Scope
OOP
Packages
Try/Except
Pros & Cons
Nice introduction to Python 3
Super helpful for understanding Python basics
None mentioned
Course Provider
Provider Eduonix's Stats at AZClass
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