Basics Of Python With Data Structures And Algorithms

Basics of Python with Data Structures and Algorithms

Python is one of the most versatile and powerful programming languages used in various industries. It is widely adopted in web development, data analysis, machine learning, automation, and more. With its easy-to-read syntax and a vast array of libraries and frameworks, Python has become a popular choice for developers and companies alike. Whether it’s automating tasks, developing applications, or analyzing data, Python is indispensable for modern software development.

This is the course to pick if you are just getting into coding and want to build a strong foundation. Widely used in Data Science & Machine Learning

Python programs are simple in syntax with extensive library support which helps the programmers to come up with required logic with few lines of code. It is popular and widely used in the data domains like data science, Machine learning, deep learning etc.., So, if you are looking for a career in the field of Artificial Intelligence then it is good to start with the Python language

Build a strong foundation by becoming an expert at Data Structures & impress recruiters to land great jobs.

Duration

3 months

Price

399 USD

Python Full Syllabus and Course Overview

1. Introduction to Python

Basics of Python Programming
• Python Syntax and Semantics
• Variables, Data Types, and Operators

2. Control Flow

Conditional Statements (if, elif, else)
• Loops (for, while)
• Exception Handling
• Functions and Recursion

3. Data Structures

Lists, Tuples, Sets, and Dictionaries
• List Comprehensions
• String Operations
• Sorting and Searching Algorithms

4. Object-Oriented Programming (OOP)

Classes and Objects
• Inheritance, Encapsulation, Polymorphism
• Magic Methods
• OOP Best Practices

5. Modules and Packages

• Importing Modules
• Creating and Using Packages

Virtual Environments
• Commonly Used Python Libraries (e.g., NumPy, Pandas, Matplotlib)

6. File Handling

Reading and Writing Files
• Working with CSV and JSON Files
• File I/O Operations
• Error Handling with Files

7. Working with APIs

Introduction to APIs
• Consuming REST APIs using Python
• Sending Requests and Handling Responses
• Authentication and API Security

8. Introduction to Web Development with Python

Overview of Flask and Django
• Setting up a Web Server
• Creating Basic Web Applications
• Web Scraping using Python (BeautifulSoup, Scrapy)

9. Data Science and Machine Learning with Python

Introduction to Data Science
• Data Analysis with Pandas and NumPy
• Data Visualization with Matplotlib and Seaborn
• Introduction to Machine Learning with scikit-learn

Lets Work Together

No matter whatever career path you choose in the field of computer science, data structures and algorithms lies at the root of it