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ProgrammingPopular course
Python
Learn Python programming from basics to advanced topics including data science, web development, and automation.
- Duration
- 14 weeks
- Level
- Intermediate
- Category
- Programming
- Instructor
- Mr. Manoj Upadhyaya
Course focus
Topics at a glance
- Programming
- Data Science
- Web Development
What you should be able to do
- Write and execute Python programs using basic syntax and control structures
- Implement and use various data structures (lists, tuples, sets, dictionaries) effectively
- Create and use functions and modules for code organization and reusability
- Apply object-oriented programming concepts in Python
- Utilize advanced Python features like generators, decorators, and lambda functions
- Implement basic data structures and algorithms
- Handle errors and exceptions in Python programs
- Work with files, databases, and web scraping using Python libraries
- Apply regular expressions for text processing
Curriculum
Detailed syllabus
8 sections in this course
- What is Python?
- History and Applications of Python
- Setting up your development environment (installing Python, IDEs)
- Basic Syntax (variables, data types - integers, floats, strings, booleans, operators, expressions)
- Input and Output operations (using print function, taking user input)
- Control Flow (using if, else, elif statements for conditional execution, for and while loops for iteration)
- Defining and calling functions
- Using arguments, parameters, and return values
- Understanding scope and variable lifetimes
- Importing and using modules (built-in and external)
- Recursive Function Call
- Lists: Creation, accessing elements using indexing and slicing, modifying lists (adding, removing, modifying elements), common operations like sorting, searching, and iteration
- Tuples: Immutable ordered sequences similar to lists but cannot be modified after creation
- Sets: Unordered collections of unique elements, set operations (union, intersection, difference), and checking for membership
- Dictionaries: Key-value pairs for storing data, accessing and modifying values using keys, iterating through keys and values, and common dictionary methods
- Classes and Objects
- Defining attributes and methods
- Inheritance and polymorphism
- Generators and Iterators: Memory-efficient iteration over large data sets
- Decorators: Metaprogramming feature for modifying function behavior
- Lambda Functions: Anonymous functions for concise one-liner expressions
- Binary Tree
- Linked List
- Sorting Algorithms
- Searching Algorithms
- Error handling (exceptions)
- Working with databases
- File handling (reading from and writing to files)
- Regular expressions (for text processing)
- Web scraping (extracting data from websites)
- Working with databases using Python libraries
Before you begin
Prerequisites
- None
- A laptop with at least 8GB RAM, i5 (or equivalent) processor, SSD storage, and a stable internet connection (minimum 10 Mbps).
Planning your enrollment
Current batch dates, schedule, delivery format, fees, availability, and included materials are confirmed when you submit a course inquiry.
Course toolkit
Technologies and tools
Technologies
- Python
- Django
- Flask
- Pandas
Tools
- PyCharm
- Jupyter Notebook
- VS Code
Course instructor
Mr. Manoj Upadhyaya
Ask about instructor availability for the current batch when requesting course information.