Python Programming Bootcamp: From Basics to Expert (2025) | Udemy

This course is designed to provide a thorough understanding of Python programming, starting from the basics and progressing to advanced concepts. Whether you are a beginner or an experienced programmer looking to enhance your skills, this course will equip you with the knowledge and practical experience needed to master Python. The course is structured to cover a wide range of topics, ensuring a holistic learning experience.

Introduction to Python and Installation

The course begins with an introduction to Python, highlighting its simplicity and versatility. You will learn how to install Python on different operating systems, including Windows and Linux. We will also cover the use of Virtualenv, a tool to create isolated Python environments, which is essential for managing dependencies and avoiding conflicts between projects.

Basic Python Syntax and Variables

Next, we delve into the basic syntax of Python, including the use of backslashes, strings inside quotes, escape sequences, and formatted output using f-strings. You will also learn about Python variables and the assignment statement, which are fundamental to writing any Python program.

Operators and Control Statements

The course then moves on to Python operators, which are used to perform operations on variables and values. You will learn about control statements, including if and else statements, which allow you to control the flow of your program based on certain conditions.

Loops and Control Flow

We will explore different types of loops in Python, including for loops and while loops, which are used to repeat a block of code multiple times. You will also learn about the break, continue, and pass statements, which provide additional control over the flow of your loops.

Data Structures: Strings, Tuples, Lists, and Dictionaries

The course covers essential Python data structures such as strings, tuples, lists, and dictionaries. You will learn how to manipulate strings using subscript operators, slicing, and various string methods. For tuples and lists, we will cover accessing values, indexing, slicing, updating, and using built-in functions like max() and min(). Additionally, you will learn about dictionary operations, functions, and methods, which are crucial for handling key-value pairs.

Functions and Modules

Functions are a cornerstone of Python programming, and this course will teach you how to define and use functions with arguments, return values, default arguments, and variable-length arguments. You will also learn about the global statement and the scope of variables. The course will introduce you to Python modules and packages, including how to import and locate modules, and how to create your own packages.

Exception Handling and File I/O

Exception handling is a critical aspect of robust programming. You will learn how to use try-except blocks, handle multiple exceptions, and raise your own exceptions. The course also covers file input/output operations, including reading from and writing to text files, and using the Python Pickle module for serialization and deserialization.

Advanced Topics: Lambda, Map, Filter, and Reduce

The course delves into advanced topics such as lambda functions, and the map, filter, and reduce functions, which are powerful tools for functional programming. You will also learn about special functions like repr(), sorted(), isinstance(), len(), dir(), zip(), sum(), and eval().

Random Module and Collections

We will explore the Python Random module, which provides functions for generating random numbers and making random choices. The course also covers the Collections module, including Counter and Deque, which are useful for counting and managing collections of items.

Date and Time Handling

Handling dates and times is a common requirement in programming. This course will teach you how to work with the Time, Datetime, and Pytz modules to manage and manipulate date and time data effectively.

Regular Expressions and OOP

Regular expressions are a powerful tool for text processing, and you will learn how to use them in Python with functions like match(), search(), sub(), and findall(). The course also covers Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, method overriding, operator overloading, and private variables.

Operating System Interfaces and Logging

You will learn how to interact with the operating system using Python’s os module, which provides functions for file and directory operations. The course also covers Python logging, which is essential for debugging and monitoring your applications.

Concurrency: Threading, Multiprocessing, and Subprocess

The course introduces you to concurrent programming in Python, covering threading, multiprocessing, and the subprocess module. These concepts are crucial for writing efficient and scalable applications.

Configuration and Decorators

You will learn how to use the Configparser module to avoid hardcoding configuration values in your code. The course also covers decorators and generators, which are advanced features that can enhance the functionality and readability of your code.

Data Exploration with Pandas, Numpy, and Matplotlib

Data exploration is a key skill in data science, and this course will teach you how to use Pandas for data manipulation, Numpy for numerical computations, and Matplotlib for data visualization.

Python Interaction with MySQL and Web APIs

Finally, the course covers how to interact with MySQL databases using Python, and how to work with Web APIs to fetch and manipulate data from the web.

By the end of this course, you will have a comprehensive understanding of Python programming, from basic syntax to advanced concepts, and you will be well-equipped to tackle real-world programming challenges.