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Skillfloor's Python Developer Essentials course is carefully crafted to provide prospective Python developers with a strong foundation. It covers all the essentials of Python programming, ranging from data structures and syntactic basics to more complex subjects like object-oriented programming and web development frameworks. The setting that encourages the development of useful Python coding abilities, which are essential for negotiating the ever-changing world of software development, will be entirely absorbed by students. For those looking to pursue a career in Python programming, this course is an essential first step toward gaining the skills and knowledge required to succeed in a variety of development professions. Students will obtain a thorough understanding of Python's incredible capabilities through interactive lessons and practical projects, empowering them to construct advanced applications and solutions.

The Python Developer Essentials course adds even more value to the course by exposing students to practical problem-solving methods and highlighting the significance of developing effective, maintainable code. Through the exploration of advanced Python features and libraries, students will develop their analytical and critical thinking skills while becoming proficient in handling challenging programming tasks. In order to better prepare students for the collaborative and constantly changing nature of a Python programming profession, the course also covers fundamental tools and practices like version control, debugging, and testing. After finishing, graduates will have a thorough understanding of Python programming and be ready to apply their knowledge in a range of technological contexts, which could lead to a successful job as a Python developer.




Skill Level



1-month Unpaid

Live Project




Live Training


Career Assistance


Expiry Period

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Course Highlights

  • Introduction to Python: Learn the basics of Python programming language, including syntax and data types.

  • Core Concepts: Understand fundamental programming concepts like variables, loops, and functions.

  • Data Structures: Explore different data structures such as lists, dictionaries, and tuples, and how to manipulate them.

  • Object-Oriented Programming (OOP): Dive into OOP principles like classes, objects, inheritance, and polymorphism.

  • File Handling: Learn how to read from and write to files using Python.

  • Error Handling: Understand how to handle errors and exceptions in your Python code effectively.

  • Modules and Packages: Explore how to use and create modules and packages to organize your code efficiently.

  • Web Development Basics: Get an introduction to web development with Python using frameworks like Flask or Django.

  • Database Interaction: Learn how to connect Python applications to databases and perform CRUD operations.

  • Project Development: Work on real-world projects to apply what you've learned and build a portfolio of Python projects.



The Python Developer Essentials certificate equips you with fundamental skills for efficient Python development. Covering key concepts like syntax, data structures, and debugging, this certification ensures you're well-versed in creating robust Python applications. Perfect for beginners and those looking to solidify their foundational knowledge, it's a practical asset in today's tech landscape. Master Python essentials and enhance your programming prowess with this concise yet comprehensive certification.

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Top 10 reasons

  1. Basic Skills: For those interested in becoming developers, our Python Developer Essentials course offers a strong foundation in Python programming by going over key ideas, grammar, and best practices.

  2. Promotion in Career: Acquire important abilities and credentials that boost your employability and lead to fascinating Python development job options across a range of industries.

  3. Practical Knowledge: Acquire knowledge through practical coding exercises and projects, utilizing your understanding in real-world situations and developing a portfolio to demonstrate your proficiency to prospective employers.

  4. Industry-Relevant Curriculum: To guarantee alignment with current industry trends and expectations and optimize your learning outcomes, our course curriculum is created in consultation with industry professionals.

  5. Flexibility: Learn at your own pace with the course materials available online, which allows for hectic schedules and flexible learning.

  6. Useful Applications: Gain expertise in data analysis, automation, web development, and other areas to take on a variety of tasks and successfully support team activities.

  7. Expert trainers: Foster an open positive environment for learning that is conducive to achievement by receiving support from peers and skilled teachers.

  8. Problem-solving abilities: Take on coding challenges and troubleshoot problems that arise when completing programming jobs to hone your problem-solving abilities.

  9. Opportunities for Networking: Through forums, networking events, and alumni networks, connect with other students and professionals in the sector to grow your professional network and support system.

  10. Future-Proofing: To make sure your skills stay relevant in the quickly changing digital scene, invest in learning Python, a flexible and in-demand programming language with applications in new technologies like artificial intelligence, machine learning, and data science.


  •  Overview of Python: History and Features

  •  Setting Up the Python Environment

  •  Basic Syntax and Execution Flow

  •  Variables and Data Types

  •  Basic Operators and Expressions

  •  Input and Output Operations

  •  Coding Best Practices and Conventions

  •  Conditional Statements: if, else, and Elif

  •  Loops: for and while

  •  Break, continue, and pass Statements

  •  Writing Functions: Definition, Arguments, and Return values

  •  Scope and Lifetime of Variables

  •  Lambda Functions and High-order Functions


  •  Lists and Tuples: Creation, Access, and Manipulation

  •  Dictionaries and Sets: Usage and Operations

  •  Comprehensions: List, Dictionary, and Set

  •  Iterators and Generators


  •  Classes and Objects: Basics and Attributes

  •  Constructors (__init__ method) and Destructors (__del__ method)

  •  Inheritance, Polymorphism, and Encapsulation

  •  Magic Methods and Operator Overloading

  •  OOP Principles in Python Development

  •  Importing Modules and Exploring the Standard Library

  •  Creating and Using Packages

  •  Exception Handling: try, except, finally

  •  Custom Exception Classes


  •  File Operations: Open, Read, Write, and Close

  •  Working with Paths and Directories

  •  Context Managers for File Operations

  •  Parsing and Processing JSON and CSV Files


  •  Introduction to Web Development with Python

  •  Exploring Web Frameworks: Flask and Django Basics

  •  Building a Simple Web Application

  •  Templates, Forms, and User Input Processing


  •  Understanding Databases: SQL and NoSQL Basics

  •  Python DB-API

  •  Connecting to Databases and Executing Queries

  •  ORM Techniques with SQLAlchemy


  •  Debugging and Testing Python Code

  •  Virtual Environments and Dependency Management

  •  Introduction to Asynchronous Programming

  •  Performance Optimization Techniques



Python developer essentials are fundamental skills, tools, and concepts that every Python developer should know to effectively write, test, and maintain Python code.

Understanding Python developer essentials is crucial for building robust, efficient, and maintainable software applications using the Python programming language.


Skills include proficiency in Python programming language, knowledge of data structures and algorithms, understanding of object-oriented programming, and experience with libraries and frameworks like NumPy, Pandas, and Django.


You can learn Python programming through online tutorials, courses, and books, and practice coding exercises on platforms like Codecademy, Coursera, or by working on real-world projects.

Common Python libraries include NumPy for numerical computing, Pandas for data manipulation and analysis, Matplotlib and Seaborn for data visualization, and Requests for handling HTTP requests.


Python 3 is the latest version of Python and is actively maintained, while Python 2 is no longer supported. Python 3 introduced several syntax and feature improvements over Python 2.

You can download and install Python from the official Python website ( Choose the appropriate installer for your operating system and follow the installation instructions.


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