Beginners Guide Into Python : Become a Master At Python
Unlock the Power of Python and Excel in Your Programming Journey
Development,Database Design & Development,Python
Lectures -69
Duration -11.5 hours
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Course 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!
Who this course is for:
- This course is for everybody, beginners and experts
Goals
What will you learn in this course:
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.
Prerequisites
What are the prerequisites for this course?
Need access to a computer.
Must be fully focused.
Curriculum
Check out the detailed breakdown of what’s inside the course
Advanced_Syntax_Generator_Expressions
4 Lectures
- Part1- Advanced Syntax List Comprehension.py 10:13 10:13
- Part2-Advanced Syntax generator Expressions.py 10:37 10:37
- Part3-context Managers 10:33 10:33
- Part4-Function Decorators 11:18 11:18
Object_Oriented_Programming_Classes
9 Lectures
OPP
3 Lectures
Python Metaprogramming
8 Lectures
Basic of python programming
3 Lectures
Advanced syntax list comprehensions
6 Lectures
Object oriented programming classes
2 Lectures
Advanced Syntax Function 7 modulesa
6 Lectures
Pythonic design patterns
4 Lectures
Concurrency Parallelism Multithreading
1 Lectures
Performance Optimization
2 Lectures
Real world python part1
4 Lectures
Real world python part2
17 Lectures
Instructor Details
BERNARD MARTIN
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