Beginners Guide Into Python : Become A Master At Python

Unlock the Power of Python and Excel in Your Programming Journey

What you'll 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.

Requirements

Need access to a computer.

Must be fully focused.

Description

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!

Overview

Section 1: Advanced_Syntax_Generator_Expressions

Lecture 1 part1-Advanced_Syntax_Generator_Expressions.py

Lecture 2 part2-Advanced_Syntax_List_Comprehensions.py

Lecture 3 part3-Context_Managers

Lecture 4 part4-Function_Decorators

Section 2: Object_Oriented_Programming_Classes

Lecture 5 part5-Object_Oriented_Programming_Classes.py

Lecture 6 part6-Object_Oriented_Programming_Classes.py II

Lecture 7 part7-Object_Oriented_Programming_Classes.py III

Lecture 8 part8-Object_Oriented_Programming_Classes.py IV

Lecture 9 part9-Object_Oriented_Programming_Classes.py V

Lecture 10 part10-Object_Oriented_Programming_Encapsulation.py

Lecture 11 part11-Object_Oriented_Programming_Polymorphism.py

Lecture 12 part12-Functional_Programming_Functional_Libraries_Functools.py

Lecture 13 part13-Functional_Programming_Functional_Libraries

Section 3: OPP

Lecture 14 part14-OPP-Game

Lecture 15 part15-OPP-Game II

Lecture 16 part16-OPP-Game III

Section 4: Python_Metaprogramming

Lecture 17 part17-Python_Metaprogramming_Decorators.py

Lecture 18 part18-Python_Metaprogramming_Decorators.py II

Lecture 19 part19 - Python_Metaprogramming_Metaclasses.py

Lecture 20 part20 -Python_Metaprogramming_Metaclasses.py II

Lecture 21 part21 - Python_Metaprogramming_Metaclasses.py III

Lecture 22 part22 - Python_Metaprogramming_Metaclasses-Game.py

Lecture 23 part23 - Python_Metaprogramming_Metaclasses-Game.py II

Lecture 24 part24 - Python_Metaprogramming_Metaclasses-Game.py III

Section 5: Basics of Python Programming

Lecture 25 part25 - Basics of Python Programming.py

Lecture 26 part26 - Basics of Python Programming.py II.mp4

Lecture 27 part27 - Basics of Python Programming.py III

Section 6: Advanced_Syntax_List_Comprehensions

Lecture 28 part28 - Advanced_Syntax_List_Comprehensions.py

Lecture 29 part29 - Advanced_Syntax_List_Comprehensions.py II

Lecture 30 part30 - Advanced_Syntax_List_Comprehensions.py III

Lecture 31 part31 -Advanced_Syntax_List_Comprehensions.py IV

Lecture 32 part32-Advanced_Syntax_List_Comprehensions.py V

Lecture 33 part33 - Advance_Syntax_Functions.py

Section 7: Object_Oriented_Programming_Classes

Lecture 34 part34 - Object_Oriented_Programming_Classes.py VI

Lecture 35 part35 - Object_Oriented_Programming_Classes.py VII

Section 8: Advance_Syntax_Functions & Modules

Lecture 36 part36 - Advance_Syntax_Functions.py II

Lecture 37 part37 -Advance_Syntax_Modules.py

Lecture 38 part38 -Advance_Syntax_Modules.py II

Lecture 39 part39 -Advance_Syntax_Modules.py III

Lecture 40 part40 - Advance_Syntax_Modules.py IV

Lecture 41 part41- Advanced_Python_Libraries_NumPy.py

Section 9: Pythonic_Design_Patterns

Lecture 42 part42-Pythonic_Design_Patterns_Singleton.py

Lecture 43 part43-Pythonic_Design_Patterns_Singleton.py II

Lecture 44 part44-Pythonic_Design_Patterns_Factory.py

Lecture 45 part45-Pythonic_Design_Patterns_Factory.py II

Section 10: Concurrency_Parallelism_Multithreading

Lecture 46 part46-Concurrency_Parallelism_Multithreading.py

Section 11: Performance_Optimization

Lecture 47 part47-Performance_Optimization_Profiling.py

Lecture 48 part48-Performance_Optimization_Memory_Management.py

Section 12: Real_World_Python_Part1

Lecture 49 part49-Real_World_Python_Rock,Paper,Scissors.py

Lecture 50 part50-Real_World_Python_Rock,Paper,Scissors.py II

Lecture 51 part51-Real_World_Python_Rock,Paper,Scissors.py III

Lecture 52 part52-Real_World_Python_Guess_the_number.py

Section 13: Real_World_Python_Part2

Lecture 53 part53-Real_World_Python_Hotel_booking-app.py

Lecture 54 part54-Real_World_Python_Hotel_booking-app.py II

Lecture 55 part55-Real_World_Python_Hotel_booking-app.py III

Lecture 56 part56-Real_World_Python_Hotel_booking-app.py IV

Lecture 57 part57-Real_World_Python_Weather-app.py

Lecture 58 part58-Real_World_Python_Weather-app.py II

Lecture 59 part59-Real_World_Python_Weather-app.py III

Lecture 60 part60-Deploying-Real_World_Python_Weather-app.py IV

Lecture 61 part61-Real_World_Python_File_manager_app.py

Lecture 62 part62-Real_World_Python_File_manager_app.py I

Lecture 63 part63-Real_World_Python_File_manager_app.py II

Lecture 64 part64-Real_World_Python_File_manager_app.py III

Lecture 65 part65-Deploying-Real_World_Python_File_manager_app.py IV

Lecture 66 part66-Real_World_Python_CHATGPT-Clone.py

Lecture 67 part67-Real_World_Python_CHATGPT-Clone.py II

Lecture 68 part68-Real_World_Python_CHATGPT-Clone.py III

Lecture 69 part69-Deploying-Real_World_Python_CHATGPT-Clone.py IV

This course is for everybody, beginners and experts