Introduction to Python
Description
An easy-to-learn programming language, Python is explored in this course from David Bigger. Python is developed under an OSI-approved open source license, making it freely usable and distributable, even for commercial use. A general-purpose programming language created nearly three decades ago, it is now one of the most popular languages used today for data science and machine learning.
Python interpreters are available for the main operating systems as well (Linux, Mac OS, Windows, Android, iOS, BSD, etc.) so it’s very flexible in where it is used. The language has a simple syntax that makes it suitable for learning to program as a first language. The learning curve is smoother than other languages such as Java, which quickly requires learning about Object Oriented Programming or C/C++ that require understanding pointers. Still, it’s possible to learn about OOP or functional programming in Python when the time comes
Where is Python Used?
- Web Development, using the frameworks Django, Flask, Pylons
- Data Science and Visualization using Numpy, Pandas and Matplotlib
- Machine learning with Tensorflow and Scikit-learn
- Desktop applications with PyQt, Gtk, wxWidgets and many more
- Mobile applications using Kivy or BeeWare
- Education: Python is a great language to learn programming
Curriculum
- 25 Sections
- 0 Lessons
- 4 Weeks
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- Module 1: Getting Started with Python0
- Module 2: Working with Primitive Data Types0
- Module 3: Module with Multiple Assignments Statements0
- Module 4: Convert Types in Python0
- Module 5: Creating Lists0
- Module 6: Modifying Lists0
- Module 7: Sorting and Reversing Lists0
- Module 8: Slicing Lists0
- Module 9: Working with Operators0
- Module 10: Determining Operator Precedence0
- Module 11: Working with IF Statements0
- Module 12: Working with for Loops0
- Module 13: Working with While Loops0
- Module 14: Disaster Recovery and Backup0
- Module 15: Reading Files0
- Module 16: More on Files0
- Module 17: Merging Emails0
- Module 18: Reading Console Inputs and Formatting Outputs0
- Module 19: Reading Command Line Argument0
- Module 20: Defining Functions0
- Module 21: Using Default Argument0
- Module 22: Using Keyword and Positional Arguments0
- Module 23: Handling Exceptions0
- Module 24: Using Math and Random Modules0
- Module 25: Displaying Daytime Working Directory and File Metadata0
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