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Beginners Guide Into Python : Become a Master At Python

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Beginners Guide Into Python : Become a Master At Python, available at $79.99, has an average rating of 4.65, with 69 lectures, based on 128 reviews, and has 10023 subscribers.

You will learn about Master Python fundamentals: Variables, data types, control structures, functions, and object-oriented programming. Explore advanced Python syntax: List comprehensions, generators, context managers, and decorators. Understand metaprogramming in Python: Modify and generate code dynamically using decorators, metaclasses, and introspection. Learn Pythonic design patterns: Singleton, Factory, Observer, and Strategy patterns for writing maintainable code. Dive into functional programming in Python: Higher-order functions, lambda expressions, and functional libraries. Gain expertise in Python standard library: Modules for file I/O, networking, web scraping, and regular expressions. Develop performance-optimized Python code: Profiling, memory management, and efficient algorithms. Fine-tune Python applications: Packaging, versioning, documentation, and dependency management. Become proficient in testing and debugging Python code: unittest/pytest, error handling, and troubleshooting. Explore advanced Python libraries: NumPy, Pandas, Matplotlib, and SciPy for data manipulation and analysis. Master concurrent programming in Python: Multithreading, multiprocessing, and asynchronous programming with asyncio. Apply Python in real-world projects: Work on practical applications to showcase Python mastery and problem-solving skills. This course is ideal for individuals who are This course is for everybody, beginners and experts It is particularly useful for This course is for everybody, beginners and experts.

Enroll now: Beginners Guide Into Python : Become a Master At Python

Summary

Title: Beginners Guide Into Python : Become a Master At Python

Price: $79.99

Average Rating: 4.65

Number of Lectures: 69

Number of Published Lectures: 69

Number of Curriculum Items: 69

Number of Published Curriculum Objects: 69

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Master Python fundamentals: Variables, data types, control structures, functions, and object-oriented programming.
  • Explore advanced Python syntax: List comprehensions, generators, context managers, and decorators.
  • Understand metaprogramming in Python: Modify and generate code dynamically using decorators, metaclasses, and introspection.
  • Learn Pythonic design patterns: Singleton, Factory, Observer, and Strategy patterns for writing maintainable code.
  • Dive into functional programming in Python: Higher-order functions, lambda expressions, and functional libraries.
  • Gain expertise in Python standard library: Modules for file I/O, networking, web scraping, and regular expressions.
  • Develop performance-optimized Python code: Profiling, memory management, and efficient algorithms.
  • Fine-tune Python applications: Packaging, versioning, documentation, and dependency management.
  • Become proficient in testing and debugging Python code: unittest/pytest, error handling, and troubleshooting.
  • Explore advanced Python libraries: NumPy, Pandas, Matplotlib, and SciPy for data manipulation and analysis.
  • Master concurrent programming in Python: Multithreading, multiprocessing, and asynchronous programming with asyncio.
  • Apply Python in real-world projects: Work on practical applications to showcase Python mastery and problem-solving skills.

Who Should Attend

  • This course is for everybody, beginners and experts

Target Audiences

  • This course is for everybody, beginners and experts

The Beginners Guide Into Python: Become a Master at Python is an immersive and comprehensive course designed to introduce aspiring programmers to the world of Python and equip them with the skills and knowledge necessary to become proficient developers. Whether you’re a complete beginner or have dabbled in coding before, this course is the perfect starting point for your Python journey.

Throughout this course, you will embark on a step-by-step learning experience, guided by expert instructors with years of industry experience. You will begin with the fundamentals, mastering Python’s syntax, data types, and control flow structures. Building upon this foundation, you will explore essential programming concepts such as loops, functions, file handling, and error handling.

As the course progresses, you will delve deeper into Python’s powerful libraries and frameworks, including NumPy, Pandas, and Matplotlib, enabling you to manipulate data, analyze datasets, and create stunning visualizations. You will also discover object-oriented programming principles and gain hands-on experience by working on real-world projects that showcase Python’s versatility.

By the end of the course, you will have a solid understanding of Python’s core concepts, be able to write efficient and clean code, and possess the skills necessary to tackle complex programming challenges. With your newfound mastery of Python, you will be well-prepared to pursue diverse career paths in data analysis, web development, machine learning, and much more.

Enroll in the Beginners Guide Into Python: Become a Master at Python course today and unlock the potential of this versatile programming language!

Course Curriculum

Chapter 1: Advanced_Syntax_Generator_Expressions

Lecture 1: part1-Advanced_Syntax_List_Comprehensions.py

Lecture 2: part2-Advanced_Syntax_Generator_Expressions.py

Lecture 3: part3-Context_Managers

Lecture 4: part4-Function_Decorators

Chapter 2: Object_Oriented_Programming_Classes

Lecture 1: part5-Object_Oriented_Programming_Classes.py

Lecture 2: part6-Object_Oriented_Programming_Classes.py II

Lecture 3: part7-Object_Oriented_Programming_Classes.py III

Lecture 4: part8-Object_Oriented_Programming_Classes.py IV

Lecture 5: part9-Object_Oriented_Programming_Classes.py V

Lecture 6: part10-Object_Oriented_Programming_Encapsulation.py

Lecture 7: part11-Object_Oriented_Programming_Polymorphism.py

Lecture 8: part12-Functional_Programming_Functional_Libraries_Functools.py

Lecture 9: part13-Functional_Programming_Functional_Libraries

Chapter 3: OPP

Lecture 1: part14-OPP-Game

Lecture 2: part15-OPP-Game II

Lecture 3: part16-OPP-Game III

Chapter 4: Python_Metaprogramming

Lecture 1: part17-Python_Metaprogramming_Decorators.py

Lecture 2: part18-Python_Metaprogramming_Decorators.py II

Lecture 3: part19 – Python_Metaprogramming_Metaclasses.py

Lecture 4: part20 -Python_Metaprogramming_Metaclasses.py II

Lecture 5: part21 – Python_Metaprogramming_Metaclasses.py III

Lecture 6: part22 – Python_Metaprogramming_Metaclasses-Game.py

Lecture 7: part23 – Python_Metaprogramming_Metaclasses-Game.py II

Lecture 8: part24 – Python_Metaprogramming_Metaclasses-Game.py III

Chapter 5: Basics of Python Programming

Lecture 1: part25 – Basics of Python Programming.py

Lecture 2: part26 – Basics of Python Programming.py II.mp4

Lecture 3: part27 – Basics of Python Programming.py III

Chapter 6: Advanced_Syntax_List_Comprehensions

Lecture 1: part28 – Advanced_Syntax_List_Comprehensions.py

Lecture 2: part29 – Advanced_Syntax_List_Comprehensions.py II

Lecture 3: part30 – Advanced_Syntax_List_Comprehensions.py III

Lecture 4: part31 -Advanced_Syntax_List_Comprehensions.py IV

Lecture 5: part32-Advanced_Syntax_List_Comprehensions.py V

Lecture 6: part33 – Advance_Syntax_Functions.py

Chapter 7: Object_Oriented_Programming_Classes

Lecture 1: part34 – Object_Oriented_Programming_Classes.py VI

Lecture 2: part35 – Object_Oriented_Programming_Classes.py VII

Chapter 8: Advance_Syntax_Functions & Modules

Lecture 1: part36 – Advance_Syntax_Functions.py II

Lecture 2: part37 -Advance_Syntax_Modules.py

Lecture 3: part38 -Advance_Syntax_Modules.py II

Lecture 4: part39 -Advance_Syntax_Modules.py III

Lecture 5: part40 – Advance_Syntax_Modules.py IV

Lecture 6: part41- Advanced_Python_Libraries_NumPy.py

Chapter 9: Pythonic_Design_Patterns

Lecture 1: part42-Pythonic_Design_Patterns_Singleton.py

Lecture 2: part43-Pythonic_Design_Patterns_Singleton.py II

Lecture 3: part44-Pythonic_Design_Patterns_Factory.py

Lecture 4: part45-Pythonic_Design_Patterns_Factory.py II

Chapter 10: Concurrency_Parallelism_Multithreading

Lecture 1: part46-Concurrency_Parallelism_Multithreading.py

Chapter 11: Performance_Optimization

Lecture 1: part47-Performance_Optimization_Profiling.py

Lecture 2: part48-Performance_Optimization_Memory_Management.py

Chapter 12: Real_World_Python_Part1

Lecture 1: part49-Real_World_Python_Rock,Paper,Scissors.py

Lecture 2: part50-Real_World_Python_Rock,Paper,Scissors.py II

Lecture 3: part51-Real_World_Python_Rock,Paper,Scissors.py III

Lecture 4: part52-Real_World_Python_Guess_the_number.py

Chapter 13: Real_World_Python_Part2

Lecture 1: part53-Real_World_Python_Hotel_booking-app.py

Lecture 2: part54-Real_World_Python_Hotel_booking-app.py II

Lecture 3: part55-Real_World_Python_Hotel_booking-app.py III

Lecture 4: part56-Real_World_Python_Hotel_booking-app.py IV

Lecture 5: part57-Real_World_Python_Weather-app.py

Lecture 6: part58-Real_World_Python_Weather-app.py II

Lecture 7: part59-Real_World_Python_Weather-app.py III

Lecture 8: part60-Deploying-Real_World_Python_Weather-app.py IV

Lecture 9: part61-Real_World_Python_File_manager_app.py

Lecture 10: part62-Real_World_Python_File_manager_app.py I

Lecture 11: part63-Real_World_Python_File_manager_app.py II

Lecture 12: part64-Real_World_Python_File_manager_app.py III

Lecture 13: part65-Deploying-Real_World_Python_File_manager_app.py IV

Lecture 14: part66-Real_World_Python_CHATGPT-Clone.py

Lecture 15: part67-Real_World_Python_CHATGPT-Clone.py II

Lecture 16: part68-Real_World_Python_CHATGPT-Clone.py III

Lecture 17: part69-Deploying-Real_World_Python_CHATGPT-Clone.py IV

Instructors

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  • 1 stars: 0 votes
  • 2 stars: 2 votes
  • 3 stars: 5 votes
  • 4 stars: 13 votes
  • 5 stars: 108 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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