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Programming in Python

Explore Python fundamentals, data types, structures, and advanced topics like concurrency to build skills for web development, data science, and machine learning.

4.6

211 Lessons

58h

Updated 5 months ago

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LEARNING OBJECTIVES

An understanding of the fundamentals of computer programming using Python
A working knowledge of object-oriented programming using Python
Hands-on experience with executable programs in Python to solve a wide variety of problems
Hands-on exercises for problem-solving
Familiarity with good programming practices, including comments, reusability, naming conventions, and modularity
Familiarity with the advanced concepts of iterators, generators, exception handling, concurrency, parallelism, and synchronization

Learning Roadmap

211 Lessons26 Quizzes5 Assessments9 Challenges

Introduction to Python

Get familiar with Python's versatility, key programming paradigms, and broad application uses.

Introduction to Python

Programming Paradigms

Quiz Yourself on Python's Theoretical Concepts

Python Basics

Discover the logic behind Python basics, data types, operators, conversions, and built-in functions.

Identifiers and Keywords

Python Types

Arithmetic Operators in Python

Data Type Conversions

Built-in Functions and Modules

Containers and Python Type Jargon

Comments, Indentation, and Multilining

Classes and Objects

Challenge: Convert the Temperature from Fahrenheit to Centigrade

Solution: Convert the Temperature from Fahrenheit to Centigrade

Challenge: Print the Angles of a Triangle

Solution: Print the Angles of a Triangle

Quiz Yourself on Python Basics

Strings and Regular Expressions

10 Lessons

Work your way through string manipulation, functions, regex patterns, and practical challenges in Python.

Decision Control Instruction

9 Lessons

Grasp the fundamentals of decision control instructions, conditional expressions, and practical programming challenges.

Repetition Control Instruction

9 Lessons

Map out the steps for using Python loops, break/continue statements, and solving control challenges.

Periodic Test: Basics of Python

Assessment

Console Input/Output

5 Lessons

See how it works to manage console input/output in Python, including average calculation.

Lists

11 Lessons

Master the steps to use Python lists effectively, perform operations, and solve list-based challenges.

Tuples

9 Lessons

Get familiar with Python tuples, operations, built-in functions, varieties, and solving practical challenges.

Sets

9 Lessons

Unpack the core of sets in Python, their operations, methods, and practical applications.

10.

Dictionaries

9 Lessons

Examine dictionaries’ structure, operations, methods, varieties, and practical challenges with solutions.

Periodic Test: Python Containers

Assessment

11.

Comprehensions

7 Lessons

Break down complex ideas in Python comprehensions, from lists and sets to challenges.

12.

Functions

5 Lessons

Deepen your knowledge of Python functions, arguments, and counting case letters in strings.

13.

Recursion

6 Lessons

Investigate recursion, recursive problems, types and limit, and count vowels recursively.

14.

Functional Programming

7 Lessons

Master the steps to functional programming in Python, including lambda functions and higher-order functions.

15.

Modules and Packages

4 Lessons

Learn how to use Python modules and packages to organize and reuse code efficiently.

16.

Namespaces

4 Lessons

Get started with namespaces, symbol tables, and scope hierarchy in Python programming.

Periodic Test: Comprehensions, Functions, Modules, and Packages

Assessment

17.

Classes and Objects

7 Lessons

Examine Python's classes, objects, initialization, class variables, methods, and practical application.

18.

Intricacies of Classes and Objects

8 Lessons

Enhance your skills in Python's class structure, naming conventions, and custom operator overloading.

19.

Containership and Inheritance

9 Lessons

Take a look at containership, inheritance, access control, types of inheritance, and abstract classes in Python.

20.

Iterators and Generators

8 Lessons

Investigate iterators, generators, and their applications for efficient data handling.

Periodic Test: Object Oriented Programming

Assessment

21.

Exception Handling

9 Lessons

Master the steps to handle errors, create user-defined exceptions, and manage resources in Python.

22.

File Input/Output

10 Lessons

Try out Python techniques for file handling, serialization, and directory operations.

23.

Miscellany

11 Lessons

Discover the logic behind Python docstrings, command-line arguments, bitwise operators, and decorators.

24.

Concurrency and Parallelism

8 Lessons

Master concurrency, parallelism, thread types, launching threads, and thread-based file operations in Python.

25.

Synchronization

6 Lessons

Grasp the fundamentals of synchronization in multithreaded applications using Python's threading module.

Periodic Test: Advanced Topics

Assessment

26.

NumPy Library

11 Lessons

Delve into creating, manipulating, and performing arithmetic operations on NumPy arrays.

27.

Appendix

4 Lessons

Follow the process of installing Python, utilizing resources, understanding compilation, and preventing common bugs.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

ABOUT THIS COURSE

Python is a multi-purpose language with an extensive range of application domains, including basic programming, web development, data science, and machine learning. In this course, you’ll learn Python's programming fundamentals and constructs. Each concept offers ample hands-on experience with executable programs. You’ll learn the basic concepts of data types and structures as well as conditional and iterative constructs. You’ll learn functions, functional programming, and recursion. The course introduces object-oriented programming, providing experience with its various modules. Finally, you’ll learn advanced topics such as containership, iterators, generators, exception and file handling, concurrency, parallelism, and synchronization. After taking this course, you’ll be able to undertake advanced programming courses with specialized application domains using Python. The course provides a strong foundation for data science and machine learning careers, enabling you to become an effective data scientist.

ABOUT THE AUTHOR

Yashavant Kanetkar

Yashavant Kanetkar’s programming books and Quest video courses in C, C++, Java, ASP.NET and Embedded Systems have become a legend. He has created, moulded and groomed millions of software careers in the last two and half decades.

Learn more about Yashavant

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