Python Crash Course: Python Programming Is the Ultimate Crash Course to Programming with Python Coding Language Ideal to Learn Faster Computer Programming: The Best Approach with Practical Exercises

Python Crash Course: Python Programming Is the Ultimate Crash Course to Programming with Python Coding Language Ideal to Learn Faster Computer Programming: The Best Approach with Practical Exercises

Posted by jack_miller | Published 10 months ago

With 14 ratings

By: Erick Myers and Cypher Trinity

Purchased At: Or $2.99 to buy

Would you like to learn Python quickly?
This is the ideal course for you. 

Python is currently a widely used programming language. It is increasing day-to-day in popularity. Like the use of Python in professional work, it is also increasing in demand in the academic sector. In Coursera, various online courses, like the programming languages, use of Python is a great tool. Python comes with Linux, Mac OSX, and Windows operating systems.

Python is one of Google's official programming languages. This course will introduce people who know the rough programming to Python. The course is not suitable for those who are new to programming. Those who want to use Python in the fancy project or professional project they can start learning Python with this course. And those who are preparing for higher education can also get acquainted with python by taking this course.

Those who are new to the programming will have trouble understanding this course, but those who are already familiar with Python will not have much benefit from the course. The course is mainly for university-level students who have finished well at least one programming course. Must be proficient in programming basics.

The book contains:

  • Before starting
  • First Python Program           
  • Variable, datatype, data input        
  • Operator        
  • Comment        
  • String manipulation              
  • List      
  • Tuple  
  • Set       
  • Dictionary     
  • Conditional logic    
  • Comprehension          
  • File      
  • Error handling              
  • Inheritance   
  • Iterator and generator      
  • Magic method             
  • Module and package              
  • Decorator     
  • Regular expression  
  • Unit testing       
  • Docstring           
  • Debugging and logging       
  • Data structure and algorithm      
  • GUI programming     
  • Conclusion   

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