0

    Share Us:

Python



  •  Welcome
  •  Syllabus
  •  Course & Video
  •  Tasks
  •  Projects
  •  Tests
  •  Get Certified
  •  Interview Questions

Welcome to our Python Full Course


Congratulations on taking the first step towards becoming a real programmer! We‘re thrilled to have you join us on this learning journey.

Our comprehensive course is designed to equip you with the skills and knowledge you need to excel in the world of programming. From fundamentals to advanced concepts, we've got you covered.

Get ready to dive deep into the exciting realm of programming and unlock your full potential. Whether you‘re a complete beginner or an experienced coder looking to expand your skill set, our course offers something for everyone.

So what are you waiting for? Start your learning adventure today and embark on the path to success!

Syllabus



Unlock Python‘s full potential with our ‘Mastering Python Programming‘ course. Tailored for all skill levels, it offers a deep understanding of Python‘s foundational concepts and advanced capabilities.

Course Outline:

1. Introduction to Python

  1. Python programming language
  2. Installation and First Program on Windows

2. Python basics

  1. Introduction to Writing Programs
  2. Variables and data types
  3. Console I/O
  4. Arithmetic operations with numbers
  5. Bit-by-bit number operations
  6. Conditional expressions
  7. Conditional Construction if
  8. Loops
  9. Functions
  10. Function parameters
  11. The return statement and the return of the result from the function
  12. Function as a Type
  13. Lambda expressions
  14. Type Casting
  15. Variable Scope
  16. Closure
  17. Decorators
  18. Recursion in Python

3. Object Oriented

  1. Classes and Objects
  2. Encapsulation, Attributes, and Properties
  3. Inheritance
  4. Overriding the functionality of a base class
  5. Class Attributes and Static Methods
  6. Object class. String representation of an object

4. Error and Exception Handling

  1. try except finally construction
  2. except and handling different types of exceptions
  3. Throwing Exceptions and Creating Your Exception Types

5. Lists, Tuples, Dictionaries

  1. List
  2. Tuples
  3. Ranges
  4. Dictionaries
  5. Set
  6. List comprehension
  7. Packing & Unpacking
  8. Packing and Unpacking in Function parameters

6. Modules

  1. Defining and Connecting Modules
  2. Module bytecode generation
  3. Random Module
  4. Math Module
  5. Module Locale
  6. decimal module
  7. Module dataclass

7. Strings

  1. Working with Strings
  2. Basic String Methods
  3. Formatting

8. Pattern matching

  1. Match construction
  2. Tuples in pattern matching
  3. Arrays in pattern matching
  4. Dictionaries in pattern matching
  5. Classes in pattern matching
  6. guards or Template Restrictions
  7. Setting Aliases and the AS Pattern

9. Working with Files

  1. Opening and Closing Files
  2. Text Files
  3. CSV Files
  4. Binary files
  5. Module shelve
  6. The OS module and working with the file system
  7. Write and read archive zip files

10. Work with dates and times

  1. Module datetime
  2. Operations with dates

Why Enroll


Elevate your Python skills with our "Python" course. Tailored for all levels, it equips you with the expertise to navigate Python‘s vast landscape, from fundamentals to advanced concepts.

Python Interview Questions

Advanced Python Concepts

1. How does Python's Global Interpreter Lock (GIL) affect multi-threaded programs, and how can it be mitigated?

2. Explain the differences between deep copy and shallow copy in Python. When would you use each?

3. What are Python’s coroutines, and how do they differ from regular functions or generators?

4. How does Python's garbage collection work, and how can you tune it for performance-critical applications?

5. Can you explain Python's method resolution order (MRO) and its importance in multiple inheritance?

6. How can you optimize Python code for speed, particularly in performance-critical applications?

7. What are metaclasses in Python, and how can they be used to control the creation of classes?

8. What is the purpose of Python's `__slots__` mechanism, and how does it improve performance?

9. How do context managers work in Python, and what are some use cases beyond file handling?

10. What is the purpose of Python’s `functools.lru_cache`, and how can it be utilized effectively?

11. Explain the differences between Python's `@staticmethod` and `@classmethod` decorators.

12. How does Python handle method overloading, and how can it be simulated if necessary?

13. What are Python's `__new__` and `__init__` methods, and how do they differ in the object creation process?

14. How can you implement custom iterators and generators in Python, and what are their advantages?

15. Describe the use of the `itertools` module and provide an example of a common use case.

16. What is the role of the `__dict__` attribute in Python, and how can it be used for debugging or introspection?

17. How can Python's `asyncio` module be utilized to manage asynchronous operations, and what are its key components?





💬 We'd Love to Hear Your Thoughts! ✨

You must be signed in to post a comment.

Sign In

💬 What other coders think…
(or debugged their thoughts) ✨

No comments yet. Be the first!

Subscribe to our mailing list to receive the latest updates and offers from Dot Dev
Must contain only letters (and spaces).
Please enter a valid email address.
You must agree before submitting.
logo
All rights reserved
2021-2026
DotDev Going Mobile:
applelogo androidlogo
    Share Us: