Overview
Introduction
It’s popular. It’s powerful. It’s Python! Python is easy to learn and is used in a huge range of fields, including software and web development, data science, machine learning, basic game development and many more. If you’re just starting out on your coding journey this course is a great choice, one will be able to start writing codes in python in no time.
Python has continued to evolve to remain as easy to understand as common English, which is why new programmers and Experienced programmers alike are especially attracted to it. It’s used to run some of the most powerful apps in the world, including Gmail, Google Maps, and YouTube.
Benefits of Core Python
- Development of large and small applications are possible through Python.
- Python offers a dynamic type of system and automatic memory management.
- A wide Range of libraries that signifies further potential of the language.
- Compatibility with most major operating systems and platforms.
- Development of Software is simpler compared with other languages.
- Elegant syntax
- Offers the most promising career opportunities
Job opportunities
- Python developer
- Data analyst
- Machine learning engineer
Field of usage
- Data science
- Scientific and mathematical computing
- Web development
- Finance and trading
- System automation and administration
- Computer graphics
- Basic game development
- Security and penetration testing
- General and application-specific scripting
- Mapping and geography (GIS software)
Course Content
- 1.1. What is Python?
- 1.2. What can Python do?
- 1.2. What can Python do?
- 1.4. Python Syntax compared to other programming languages
- 1.5. Install Python
- 1.6. Python QuickStart
- 1.7. How to use jupyter notebook
- 1.8. Python Indentation
- 1.9. Python Comments
- 2.1. Creating Variables
- 2.2. Casting
- 2.3. Get the Type
- 2.4. Single or Double Quotes?
- 2.5. Case-Sensitive
- 2.6. Variable Names
- 2.7. Multi Words Variable Names
- 2.8. Assign Multiple Values
- 2.9. Output Variables
- 2.10. Global Variables
- 3.1. Built-in Data Types
- 3.2. Setting the Data Type
- 3.3. Setting the Specific Data Type
- 3.4. Python String
- 3.5. Python Operators
- 4.1. If statements
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