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Learn Python from scratch in our comprehensive Bootcamp,designed for absolute beginners to intermediate learners.This course covers everything from basic syntax to advanced topics.By the end of the course , you ‘ll be ready to take on Python projects with confidence and boost your career!
Duration: 2 Months
Instructor: —placeholder—
Difficulty: Intermediate
Category: Python & Programming
Python installation and environment configurations involve setting up Python on your system and creating an organized coding environment.
Data types define the type of value a variable can hold, such as integers,strings and floats.Type casting is the process of converting one data type into another.
This involves deep understanding of Python’s lists,dictionaries and strings.Lists are used to store ordered collections ,dictionaries handle data as key-value pairs and strings are designed for text manipulation.
Conditionals and Loops are essential for controlling the flow of a python program.Conditionals allow decision making based on specific conditions.Loops enable repetitive tasks.
Exception Handling helps manage errors gracefully using try,except,and finally blocks.Debugging is the process of identifying and fixing issues in your code.
Functions allow you to group code into reusable blocks,making programs more organized.Recursion is a technique where a function calls itself to solve smaller instances of a problem.
Object-Oriented Programming (OOP) in Python focuses on organizing code using classes and objects.
File I/O in Python enables reading from and writing to files ,allowing you to work with data stored outside your program.
Regular Expressions in Python are powerful tools for pattern matching and text manipulation.This enables advanced string processing and improves coding efficiency.
This involves using libraries like Pandas and Numpy to manipulate, analyze and visualize data.Pandas provide data structures. Numpy offers powerful tools.
Web Scraping in Python is the process of extracting data from websites.With Web Scraping you can gather large datasets for research and automation.
Data visualization in Python involves creating visual representations of data to identify patterns and insights easily.
This involves building algorithms that enable computers to learn from data and make predictions.
Django and Flask are powerful web frameworks in Python.Django is a high-level framework that includes built-in tools while Flask is flexible offering more control.
Hours of Operation
Monday - Sunday: 10:00 AM - 7:00 PM