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Python is everywhere. It's used in web development, data science, machine learning, artificial intelligence, and automation. Knowing Python opens up a world of career opportunities. This course is meticulously designed to provide you with a deep understanding of Python's fundamentals and the practical skills needed to build a professional portfolio.

What You’ll Learn:

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Python is everywhere. It's used in web development, data science, machine learning, artificial intelligence, and automation. Knowing Python opens up a world of career opportunities. This course is meticulously designed to provide you with a deep understanding of Python's fundamentals and the practical skills needed to build a professional portfolio.

What You’ll Learn:

  • Python fundamentals: variables, data types, operators, and control flow

  • Writing reusable code with functions and modules

  • Mastering object oriented programming (OOP) concepts

  • Handling files and working with APIs

  • Using popular Python libraries and frameworks

  • Building real world projects: games, automation scripts, and web apps

  • Debugging, testing, and best coding practices

  • Introduction to web development with Flask

  • Preparing for job interviews and real world coding challenges

This Course Include:

Module 1: Introduction to Python

  • Overview of Python and its Applications

  • Installing Python and Setting Up the Development Environment

  • Writing Your First Python Program

Module 2: Python Basics

  • Variables and Data Types

  • Operators and Expressions

  • Python Input and Output

  • Type Conversion and Casting

Module 3: Control Flow in Python

  • Conditional Statements (if, elif, else)

  • Loops in Python (for, while)

  • Iterators and Generators

  • List Comprehensions and Lambda Functions

Module 4: Functions and Modules

  • Defining and Calling Functions

  • Function Arguments and Return Values

  • Recursion in Python

  • Importing and Creating Modules

Module 5: Data Structures in Python

  • Lists, Tuples, and Sets

  • Dictionaries and Dictionary Methods

  • Stacks, Queues, and Linked Lists

Module 6: Object-Oriented Programming (OOP) in Python

  • Classes and Objects

  • Constructors and Destructors

  • Inheritance and Polymorphism

  • Encapsulation and Abstraction

Module 7: File Handling in Python

  • Working with CSV and JSON Files

  • Handling Exceptions and Error Handling

  • Using the OS and shutil Modules

Module 8: Working with Databases

  • Introduction to Databases and SQL

  • Connecting Python to MySQL & SQLite

  • Performing CRUD Operations

Module 9: Advanced Python Concepts

  • Multithreading and Multiprocessing

  • Working with Regular Expressions

  • Memory Management and Performance Optimization

  • Decorators and Metaclasses

By the end of this course, you’ll have a strong foundation in Python programming and the confidence to build your own applications or pursue a career as a Python developer.

Enroll today and start your Python journey—one step at a time.

Enroll now

What's inside

Learning objectives

  • Overview of python and its applications
  • Installing python and setting up the development environment
  • Running python scripts
  • Writing your first python program
  • Variables and data types
  • Operators and expressions
  • Python input and output
  • Type conversion and casting
  • Conditional statements (if, elif, else)
  • Loops in python (for, while)
  • List comprehensions and lambda functions
  • Defining and calling functions
  • Function arguments and return values
  • Lists, tuples, and sets
  • Dictionaries and dictionary methods
  • Classes and objects
  • Constructors and destructors
  • Encapsulation and abstraction
  • Working with csv and json files
  • Handling exceptions and error handling
  • Using the os and shutil modules
  • Connecting python to mysql & sqlite
  • Performing crud operations
  • Multithreading and multiprocessing
  • Working with regular expressions
  • Memory management and performance optimization
  • Show more
  • Show less

Syllabus

Introduction to Python
Overview of Python and its Applications
Installing Python and Setting Up the Development Environment
Writing Your First Python Program
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Career center

Learners who complete The Ultimate Python Developer Course: Learn Step by Step will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Ultimate Python Developer Course: Learn Step by Step.
While not solely about OOP, this book is fundamental for any programmer, including those using OOP. It emphasizes writing readable, maintainable, and well-structured code, which is essential for effective object-oriented design. It teaches the difference between good and bad code and how to refactor, providing practical examples and insights into SOLID design principles based on OOP concepts. This crucial reference for writing high-quality code in any object-oriented language.
Often referred to as the 'Gang of Four' book, this seminal work on software design patterns in OOP. It presents a catalog of 23 classic design patterns that provide solutions to recurring design problems. Understanding these patterns is vital for designing flexible, maintainable, and reusable object-oriented systems. is more suitable for those with a foundational understanding of OOP and valuable reference for designing complex software.
Is highly relevant for understanding contemporary database topics, particularly in the context of distributed systems, scalability, and various data storage technologies like NoSQL. It is excellent for professionals and advanced students looking to deepen their understanding of modern data systems and their trade-offs.
Provides a foundational understanding of operating systems, including detailed coverage of file systems and their implementation. It is widely used as a textbook in undergraduate and graduate computer science programs and is valuable for understanding the underlying principles of file handling. The chapters on file systems offer a deep dive into how operating systems manage data persistently.
Is excellent for beginners to grasp the fundamental concepts of OOP and how to apply them. It covers basics like classes, objects, encapsulation, polymorphism, abstraction, and inheritance, as well as more advanced concepts such as composition, delegation, association, and aggregation. It helps readers think in terms of objects to solve problems and is particularly useful for those transitioning from procedural programming. This book great introductory text and can serve as a foundational resource before diving into more complex topics.
Is an excellent starting point for anyone new to Python or programming in general. It covers fundamental programming concepts and Python basics with a hands-on, project-based approach, making it very practical for beginners. The third edition is updated to cover newer Python versions and is widely recommended for its clear explanations and engaging projects. It's often used as an introductory textbook.
This comprehensive handbook covers the entire field of robotics and automation, from the basics to the latest developments. It is an essential resource for anyone who wants to learn about this rapidly growing field.
Provides a foundational understanding of debugging principles applicable to both software and hardware. It outlines nine fundamental rules and offers practical strategies for identifying and resolving bugs. This is an excellent starting point for anyone new to debugging, providing a solid framework before diving into language-specific techniques. It is widely recommended for its accessible approach and timeless advice.
La edición en español de este reconocido libro de texto ofrece una introducción completa a los conceptos fundamentales de los sistemas de bases de datos, cubriendo teoría y práctica. Es un recurso excelente para estudiantes de habla hispana que buscan una comprensión amplia y a menudo se utiliza como libro de texto principal en instituciones académicas.
Often referred to as "CLRS," this book comprehensive and widely-used textbook for undergraduate and graduate-level algorithms courses. It provides in-depth knowledge of data structures and algorithms, including their analysis and implementation. While it assumes some mathematical familiarity, it's an encyclopedic reference valuable for both learning and as a long-term resource.
Drawing on extensive experience, this book presents a comprehensive collection of 66 specific and actionable debugging techniques. It covers a wide range of scenarios and provides practical advice for tackling complex software and system issues. is highly valuable for experienced programmers looking to expand their debugging toolkit and improve their efficiency in finding and fixing errors. It useful reference for various debugging challenges.
Ideal for beginners who want to quickly apply Python to practical tasks. focuses on using Python to automate everyday computer tasks, such as working with files, web scraping, and sending emails. It assumes no prior programming experience and is highly regarded for its clear, step-by-step instructions and focus on immediate productivity gains. The second edition widely used and practical resource.
Focuses on teaching you how to think in terms of objects, which is crucial for effective OOP. It's an excellent resource for beginners, especially those with a background in procedural languages, to understand how to build complex systems using basic OOP concepts. It's considered a must-read for anyone starting their OOP journey and complements practical coding exercises well.
A comprehensive guide covering the core technologies of front-end web development: HTML, CSS, and JavaScript, along with web graphics. is well-suited for beginners and serves as a solid introduction to the entire process of creating websites. It includes exercises and quizzes to reinforce learning. While it provides a broad understanding, readers looking to specialize in a particular area might need more focused resources later. The latest editions incorporate modern web standards and practices.
Focuses on the security testing of APIs, providing insights into how to identify and exploit vulnerabilities. It's a crucial resource for security professionals and developers who want to build more secure APIs by understanding potential attack vectors. It's highly relevant for contemporary API development concerns.
For those looking to deepen their understanding of how database systems function internally, this book provides a detailed exploration of topics like storage engines, indexing, and transaction processing in distributed systems. It is suitable for advanced students and professionals.
Offers a comprehensive treatment of data structures and algorithms, suitable for academic settings. It covers various data types and algorithms for sorting, searching, and processing. The book is known for its detailed explanations and includes an online portal with source code, making it a strong resource for solidifying understanding.
Comprehensive guide to Flask web development. It covers everything from the basics of Flask to more advanced topics such as deploying Flask applications. The book is well-written and easy to follow, making it a great choice for beginners and experienced developers alike.
Is highly recommended for intermediate to advanced Python programmers looking to write more idiomatic and efficient code. It explores Python's often-overlooked features and best practices, delving into topics like data structures, the Python data model, and metaprogramming. It's a valuable resource for deepening understanding and is considered a must-read for those aiming for mastery.
Offers a systematic and theoretical approach to debugging, moving beyond ad-hoc methods. It covers techniques for reproducing failures, isolating causes, and understanding the debugging process from a scientific perspective. While it delves into theoretical concepts, it also provides practical examples and insights into automated debugging tools. This book is valuable for those who want to deepen their understanding of the underlying principles of debugging.
Provides indispensable guidelines and best practices for writing robust, efficient, and well-designed programs in Java, a widely used object-oriented language. It covers various aspects of Java programming through a series of actionable 'items,' explaining what to do, what not to do, and why. While Java-specific, many of the principles and patterns discussed are applicable to OOP in general. The 3rd edition is updated to cover modern Java features. This highly recommended read for Java developers looking to deepen their understanding of effective OOP.
A project-based introduction to Django, a high-level Python web framework. is ideal for beginners with some Python knowledge who want to learn full-stack web development. It guides readers through building several web applications, covering concepts like authentication, testing, and deployment. It's a practical and up-to-date resource for learning Django.
Demonstrates how to develop object-oriented software using a test-driven development (TDD) approach. It shows how writing tests first can guide the design of well-structured and maintainable object-oriented code. This book is highly practical and provides valuable insights into the synergy between TDD and object-oriented design. It's particularly useful for developers interested in agile methodologies and building robust software.
Provides a practical introduction to machine learning using Python and the scikit-learn library. It's ideal for Python programmers interested in entering the field of machine learning and data science. It covers essential concepts and provides hands-on examples.
Offers a product-oriented approach to API design, emphasizing how to create APIs that provide value and a great developer experience. It covers the entire design lifecycle and discusses various API styles like REST, gRPC, and GraphQL. It's a strong choice for gaining a broad understanding of API design in a business context.
Offers a more accessible introduction to OOP using C++ compared to Stroustrup's book. It systematically introduces OOP principles alongside the C++ language features. It is often used as a textbook and is known for its clear explanations and numerous examples, making it suitable for beginners learning OOP with C++.
Given the close relationship between microservices and APIs, this book is highly relevant for understanding how to secure microservices architectures and the APIs that connect them. It covers securing communication between services and deploying microservices behind an API gateway. It's valuable for those working with or planning to adopt a microservices approach.
Offers practical strategies and techniques for finding, repairing, and preventing bugs, with a focus on enterprise software development. It provides a hands-on approach to improving your debugging skills and tackling common issues encountered in real-world projects. This book good resource for developers seeking to enhance their day-to-day debugging practices and reduce the number of defects in their code.
Provides a deeper dive into JavaScript as a programming language. It covers fundamental programming concepts and more advanced topics like asynchronous programming and object-oriented programming. It's highly regarded for its thoroughness and clear explanations, making it suitable for those who want to solidify their understanding of JavaScript beyond the basics. The latest editions are updated to cover modern JavaScript features, making it a relevant reference for contemporary practices.
This textbook is suitable for advanced data structures or introductory graduate-level algorithm analysis courses. It bridges the gap between foundational data structures and more advanced analysis techniques. The book provides a rigorous and in-depth analysis of algorithms and their implementation in C++.
Offers an in-depth look at the design and implementation of file systems, using the Be File System (BFS) as a case study. It covers advanced topics like journaling, attributes, and indexing, going beyond the scope of typical operating systems texts. While older, it remains a valuable reference for those seeking a deep understanding of file system mechanics.
Is essential for understanding how to improve the design of existing codebases, a common task in software development. It provides a catalog of refactorings and explains how to apply them to make code more understandable, maintainable, and less prone to bugs. While not exclusively about OOP, many refactoring techniques are applied to object-oriented code to improve its structure and design. This book is highly practical and valuable for anyone working on real-world software projects.
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This practical guide offers a blend of API design theory and hands-on exercises. It focuses on building popular APIs and fostering a thriving developer ecosystem. The book includes expert advice and case studies, making it highly relevant for those looking to create successful and widely adopted APIs.
Focuses on practical object-oriented design principles using the Ruby programming language. It emphasizes creating flexible, maintainable, and well-designed code through clear explanations and realistic examples. While the examples are in Ruby, the design principles are broadly applicable to other object-oriented languages. This book is great for developers looking for a practical guide to writing better object-oriented code.
Offers a practical and approachable guide to relational database design, suitable for beginners and those without a strong technical background. It focuses on fundamental design principles and provides clear, jargon-free explanations. It's a good starting point for understanding how to structure data effectively.
La edición en español de 'Database Design for Mere Mortals' ofrece una guía práctica y accesible para el diseño de bases de datos relacionales. Es ideal para principiantes y aquellos sin experiencia técnica previa, enfocándose en principios de diseño fundamentales con explicaciones claras y sin jerga.
Focuses on a responsibility-driven approach to object-oriented design, emphasizing the roles, responsibilities, and collaborations of objects. It provides a practical methodology for designing object-oriented software by thinking about how objects interact. This book valuable resource for improving your object design skills and creating more flexible and understandable systems.
Similar to his C++ book, Lafore's book on OOP in Java provides a clear and step-by-step introduction to object-oriented concepts using the Java language. It's a good resource for beginners who want to learn OOP through practical Java examples. can serve as a solid starting point for understanding OOP fundamentals in a widely used language.
Presents proven patterns for designing APIs that facilitate integration through loosely coupled message exchanges. It's a valuable resource for architects and developers working on complex integration scenarios, offering patterns to simplify the process.
Focuses on advanced debugging techniques for .NET applications using native debugging tools like WinDBG. It delves into the internals of the .NET CLR and provides in-depth knowledge for tackling complex .NET bugs. This is an essential resource for experienced .NET developers and those involved in troubleshooting production issues.
Focuses on verification and debugging approaches specifically for embedded software with hardware dependencies. It covers the entire flow from design to debugging and explores various verification techniques. This specialized book for those working at the intersection of software and hardware in embedded systems.
Offers a solid introduction to the principles and practices of designing effective web APIs. It's particularly useful for those new to API design, providing practical guidance and examples. It serves as a valuable reference for understanding the characteristics of well-designed APIs and the entire API design lifecycle.
Introduces Domain-Driven Design (DDD), an approach to software development that focuses on creating an object-oriented model of the domain problem. It provides strategic and tactical patterns for designing complex systems by deeply understanding the business domain. This book is more advanced and is particularly relevant for those working on large and complex software projects where the domain logic is central. It's a valuable resource for experienced developers and architects.
Focuses on practical debugging using popular tools like GDB, DDD, and Eclipse, commonly used in Linux/Unix environments. It provides hands-on guidance for using these debuggers effectively, covering topics such as inspecting variables, understanding memory issues, and debugging different programming paradigms. This is particularly useful for students and professionals working with C, C++, Java, Perl, or Python on these platforms. It serves as a valuable reference for tool-specific debugging.
Focused on practical SQL usage and common mistakes, this book is valuable for anyone working with relational databases. It helps solidify understanding of effective database programming and design principles by highlighting what *not* to do. It's a great supplementary read for those learning or using SQL regularly.
Focuses specifically on applying object-oriented principles in Python 3. It covers core OOP concepts like classes, inheritance, and polymorphism within the context of Python's syntax and idioms. It's a practical guide for Python developers who want to write more structured and maintainable code using OOP. This book is suitable for those already familiar with Python basics and looking to incorporate OOP into their projects.
For back-end developers using Node.js, this book explores common design patterns and best practices for building scalable and maintainable server-side applications. It delves into asynchronous programming, module patterns, and architectural considerations specific to Node.js. It's a valuable resource for developers looking to deepen their understanding of Node.js development and build robust back-end systems.
Offers a collection of tips and tricks to help intermediate Python developers write more professional and Pythonic code. It provides concise explanations and practical examples of various Python features, making it a useful resource for leveling up coding skills and discovering best practices.

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