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Beginners Guide Into Python : Become a Master At Python

person icon BERNARD MARTIN

4.4

Beginners Guide Into Python : Become a Master At Python

Unlock the Power of Python and Excel in Your Programming Journey

updated on icon Updated on Apr, 2024

language icon Language - English

person icon BERNARD MARTIN

category icon Development,Database Design & Development,Python

Lectures -69

Duration -11.5 hours

4.4

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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.

Beginners Guide Into Python : Become a Master At Python

Curriculum

Check out the detailed breakdown of what’s inside the course

Advanced_Syntax_Generator_Expressions
4 Lectures
  • play icon Part1- Advanced Syntax List Comprehension.py 10:13 10:13
  • play icon Part2-Advanced Syntax generator Expressions.py 10:37 10:37
  • play icon Part3-context Managers 10:33 10:33
  • play icon Part4-Function Decorators 11:18 11:18
Object_Oriented_Programming_Classes
9 Lectures
Tutorialspoint
OPP
3 Lectures
Tutorialspoint
Python Metaprogramming
8 Lectures
Tutorialspoint
Basic of python programming
3 Lectures
Tutorialspoint
Advanced syntax list comprehensions
6 Lectures
Tutorialspoint
Object oriented programming classes
2 Lectures
Tutorialspoint
Advanced Syntax Function 7 modulesa
6 Lectures
Tutorialspoint
Pythonic design patterns
4 Lectures
Tutorialspoint
Concurrency Parallelism Multithreading
1 Lectures
Tutorialspoint
Performance Optimization
2 Lectures
Tutorialspoint
Real world python part1
4 Lectures
Tutorialspoint
Real world python part2
17 Lectures
Tutorialspoint

Instructor Details

BERNARD MARTIN

BERNARD MARTIN

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