Python Programming Course | Learn Python at DCode Institute

Python Programming Course | Learn Python at DCode Institute

Are you ready to dive into the world of programming? Join DCode Institute for a comprehensive Python programming course designed to help you master one of the most popular and versatile programming languages today.

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Course Description

Are you ready to embark on a journey to learn one of the most in-demand programming languages in the world? Join DCode Institute's Python Programming Course and unlock endless possibilities in fields like web development, data science, artificial intelligence, machine learning, automation, and more.

Why Python? Python is a versatile, high-level programming language that's known for its simple syntax and powerful features. From building web applications to analyzing big data and training machine learning models, Python is a must-have skill for any aspiring developer or data scientist.

Course Overview: Our comprehensive Python course is designed to take you from a beginner to an advanced Python programmer, giving you the skills needed to thrive in the tech industry. With hands-on projects, practical examples, and expert guidance, you’ll learn the essential concepts and libraries that power modern software development.

What you’ll learn
  • Basic Python Concepts: Understand variables, data types, operators, loops, and control flow.
  • Object-Oriented Programming (OOP): Learn about classes, objects, inheritance, polymorphism, and encapsulation.
  • Advanced Python Topics: Dive into file handling, error handling, and Python libraries like Pandas, NumPy, Matplotlib, and more.
  • Web Development with Python: Build web applications using frameworks like Flask and Django.
  • Data Science & Machine Learning: Learn to analyze and visualize data, and gain an introduction to machine learning techniques using Python.
  • Hands-on Projects: Apply your knowledge with real-world projects in web development, data analysis, and more.
  • Expert Instructors: Learn from professionals with years of industry experience.
  • Practical, Project-Based Learning: Build real-world applications and projects to enhance your skills and create a strong portfolio.
  • Certification: Earn a Python programming certificate upon completion that showcases your new skills to potential employers.

Overview of Python: Why Python? Introduction to Python's syntax and key feature

Control Structures: Conditionals (if, elif, else) and loops (for, while).

Basic Python Syntax: Variables, data types, operators, and expressions.
Defining Functions: Understanding function syntax, arguments, and return values.

Built-in Functions: Common Python functions (e.g., print(), len(), range()).

Modules and Libraries: Importing and using standard Python libraries.

Scope and Lifetime of Variables: Global vs. local variables.
Lists: Creating, modifying, and accessing elements of lists.

Tuples: Understanding immutable sequences in Python

Dictionaries: Working with key-value pairs for efficient data storage.

Sets: Unique, unordered collections of items.

List Comprehensions: A Pythonic way to manipulate lists

Classes and Objects: Introduction to OOP and how to create classes and objects.

Encapsulation: Protecting data using access modifiers.

Inheritance: Extending the functionality of classes by creating derived classes.

Polymorphism: Overloading and overriding methods in Python.

Abstraction: Hiding complex implementation details.

Reading Files: Using Python to read text and binary files.

Writing to Files: Modifying files with write() and append() methods.

File Operations: Opening, closing, and managing files in Python.
NumPy: Introduction to NumPy for numerical operations and array handling.

Pandas: Working with data using Pandas for data analysis.

Matplotlib: Visualizing data with charts and graphs.

Flask: Building simple web applications with the Flask web framework.

Django: Introduction to Django for creating full-fledged web applications.
HTTP and Web Servers: Understanding how web servers work and using Python to handle HTTP requests.

Flask Web Framework: Building and deploying web apps with Flask.

Django Web Framework: Creating dynamic web applications with Django.
Completion of Course Modules: You must successfully complete all the course modules, including programming exercises, hands-on labs, and quizzes.

Capstone Project: You will need to complete a Capstone Project, showcasing your ability to solve an end-to-end data science problem, from data collection to deployment.

Final Evaluation: Your final project and performance throughout the course will be evaluated by the instructors to ensure that you have mastered the core concepts and can apply them in real-world situations.
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Vijay Patel

Python Learning course

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  • 4.5
  • 29 Courses
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About Instructor

Vijay Patel is an experienced and passionate Python instructor with over 10 years of experience in the software development industry. With a strong background in web development, data science, and machine learning, Vijay has been guiding students from all over the world to become skilled Python developers.

He holds a degree in Computer Science and has worked with industry leaders in the tech field. His areas of expertise include Python programming, web development with frameworks like Flask and Django, and data analysis using Pandas and NumPy.

Our Student Reviews

4.5

(Based on todays review)

avatar
Amarsang Vaghela

2 days ago

"The Python course at DCode Institute was everything I needed to jump-start my career in data science. Vijay's teaching style is clear, engaging, and he always made sure to answer all my questions. I loved how the course was structured with both theory and real-world projects, which helped me build a strong foundation. After completing the course, I was able to land an internship as a data analyst!"

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Mukesh Solanki

1 days ago

"I had been working as a software developer for a few years, but I never really worked with Python before. This course gave me the skills I needed to make the transition smoothly. Vijay's guidance was invaluable—his expertise in web development with Flask and Django helped me build a live web application by the end of the course. I feel confident applying Python to solve complex programming problems now!"


avatar
Piyush Vaghela

2 days ago

"I was a complete beginner when I started this Python course, and I was a bit nervous about diving into programming. But Vijay made everything so easy to understand. I especially enjoyed the hands-on projects, like building a personal website with Django and analyzing data with Pandas. I now feel ready to take on Python development jobs after graduating!"


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Frequently Asked Questions

This course is suitable for beginners, aspiring developers, data scientists, and anyone looking to expand their programming skills. Whether you’re just starting out with programming or want to deepen your knowledge of Python for web development, data science, or machine learning, this course is for you.

  • Python Basics: Variables, data types, operators, loops, and control flow.
  • Object-Oriented Programming (OOP): Classes, objects, inheritance, and more.
  • Python Libraries: NumPy, Pandas, Matplotlib for data science, and Flask/Django for web development.
  • Data Science and Machine Learning: Data manipulation, analysis, and building machine learning models.
  • Web Development: Building applications with Flask and Django.
  • Yes! Upon successfully completing the Python programming course, you will receive a Python programming certificate from DCode Institute, which can be added to your resume and LinkedIn profile to showcase your new skills to potential employers.

    There are no formal prerequisites for the course. However, having basic computer skills (such as familiarity with operating systems and file management) will be helpful. A willingness to learn and practice coding is all you need!

  • What kind of support will I receive during the course?
  • Online forums to ask questions and share insights
  • Feedback on assignments and projects to help you grow.
  • Ongoing mentorship from the instructor and teaching assistants.
  • Data analysis projects using Pandas and NumPy.
  • Web development projects with Flask and Django to create real-world web applications.
  • Machine learning projects where you’ll apply algorithms like linear regression and classification using Python.
  • Automated scripts for problem-solving and workflow optimization.
  • Yes! This course is designed to accommodate students from all backgrounds. We start with the basics and gradually build up to more advanced topics. You don’t need a computer science background to succeed—just a willingness to learn and practice coding.

    During the course, we offer live Q&A sessions and office hours where you can ask questions, get clarification on difficult topics, and interact with your instructor, Vijay Patel. These sessions are held weekly and are a great opportunity to get personalized feedback.

    This course includes

    • Skills Beginner
    • Language English
    • Certificate Yes

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