Digging Into The Advanced Foundations of Python Programming – Become An Advanced Python Developer – Hands-On Training

SUMMARY

The Python Programming A-Z Definitive Diploma is a comprehensive and hands-on course designed to take you from a Python beginner to an advanced developer. Python is one of the most versatile and widely-used programming languages in the world, with applications across fields such as data science, machine learning, web development, automation, cybersecurity, and more. This course equips you with the skills needed to excel in these fields and become a professional Python developer.

Basic Python Concepts

The course starts with the core concepts of Python to build a strong foundation. You’ll learn how to:

  • Work with Variables and Data Types: Understand different data types, including integers, floats, strings, booleans, and how to use variables effectively.
  • Perform Operations: Gain hands-on experience with arithmetic, comparison, and logical operations, crucial for controlling the flow and logic of your programs.
  • Conditional Statements: Learn how to use if, elif, and else statements to make decisions and control the execution of your code.
  • Loops: Master for and while loops to automate repetitive tasks and iterate over data structures like lists and tuples.

 

Intermediate Python Concepts

Once you are comfortable with the basics, the course dives deeper into more advanced topics, Python including:

  • Data Structures: Explore Python’s built-in data structures such as lists, tuples, sets, and dictionaries. Learn how to use them to store and manage data efficiently.
  • Functions: Understand how to create reusable blocks of code with functions. Learn about function arguments, return values, and lambda functions for more concise coding.
  • Modules and Imports: Learn how to organize your code into modules for better readability and reusability. Master importing built-in and third-party modules to extend your Python functionality.

 

Advanced Python Topics

The course then covers some of Python most powerful and in-demand features, such as:

  • Object-Oriented Programming (OOP): Learn the principles of OOP, including classes, objects, inheritance, encapsulation, and polymorphism. Master structuring your code with classes to improve scalability and maintainability.
  • File Handling: Discover how to read from and write to files in Python. This is key for working with data and logging information.
  • Scientific Computing with NumPy: Learn how to perform advanced numerical computations, manipulate arrays, and work with large datasets efficiently using the NumPy library.
  • Data Visualization with Matplotlib: Learn how to create various types of charts, graphs, and plots to visualize data trends and patterns with Matplotlib.

 

Specialized Applications

As you approach the final stages of the course, you will learn to apply Python in specialized fields:

  • Data Science: Learn how to analyze, manipulate, and visualize data using libraries like Pandas and Matplotlib. Understand the basics of data cleaning, transformation, and statistical analysis.
  • Database Integration: Understand how to interact with databases using Python. Learn how to perform SQL queries, connect to databases, and handle data retrieval and updates.

 

Real-World Projects

The course emphasizes practical learning through real-world projects. You’ll work on hands-on examples and applications that reflect tasks you will encounter in professional Python development roles. By the end of the course, you will have the skills to:

  • Develop Python applications for various use cases
  • Analyze and visualize data
  • Work with databases and build data-driven apps

 

Why Choose This Course?

The course is designed for learners who want to master Python quickly and effectively. It offers:

  • Step-by-Step Guidance: The instructor will guide you through every concept, ensuring you understand and can apply the skills in real-world scenarios.
  • Practical, Project-Based Learning: By working on projects, you will gain valuable experience that prepares you for jobs in the industry.
  • Versatility and Scalability: Python is used across many domains, and this course prepares you for careers in software development, data science, machine learning, and more.

 

What you’ll learn

  • Advanced Collections: Named Tuples, Default Dictionary, Counters, Ordered Dictionary, Queues and Deques
  • Advanced Functions: Zipping, Unzipping, Evaluating expressions, Memory view, Mapping objects with lambda, Enumerating objects and Executing Python expressions
  • The *args and **kwargs to pass variable number of args
  • Iterators and Iterables in Python: Iterate over sequences using different techniques and tricks. Building Iterators using FP and OOP
  • Generator functions with many yield statements and Generator expressions
  • Metaclass: Built-in metaclasses and building custom metaclass
  • Decorators: Functional Programming, Regular way to decorate a function, and the best way using @
  • Comprehensions: List comprehension, Dict comprehension, Set comprehension and Tuple comprehension
  • Building Logger to indicate the problems
  • Creating custom Calendar with different ways

Description

Hello and welcome to the Advanced Foundations of Python Programming | 2023 Training Masterclass.

Learn the Advanced foundations of modern python programming with this powerful, deep, direct to the point and interactive training.

For each concept in this course, you’ll master the theory then you’ll  practice with many real examples.

Do you want to Advance your Python development career?

Do you want to be able to create real programs using the advanced concepts of Python?

This effective training course is created for you to help you master the most important advanced concepts in python programming language, and it will save your valuable time.

By the end of this course you’ll learn:

  • Advanced Collections: Named Tuples, Default Dictionary, Counters, Ordered Dictionary, Queues and Deques.
  • Advanced Functions: Zipping, Unzipping, Evaluating expressions, Memory view, Mapping objects with lambda, Enumerating objects and Executing Python expressions.
  • The *args and **kwargs to pass variable number of args.
  • Iterators and Iterables in Python: Iterate over sequences using different techniques and tricks.

    Building Iterators using FP and OOP.

  • Generator functions with many yield statements and Generator expressions.
  • Metaclass: Built-in metaclasses and building custom metaclass.
  • Decorators: Functional Programming, Regular way to decorate a function, and the best way using @.
  • Comprehensions: List comprehension, Dict comprehension, Set comprehension and Tuple comprehension.
  • Building Logger to indicate the problems.
  • Creating custom Calendar with different ways.

 

 

 

 

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