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Python Programming for AI & Real-World Software Development
Rating: 4.6 out of 5(18 ratings)
36 students

Python Programming for AI & Real-World Software Development

Master Python file handling (CSV, JSON, Pickling), powerful coding techniques, data structures, and data visualization
Last updated 5/2026
English

What you'll learn

  • Master Python fundamentals including variables, data types, operators, and control structure
  • Write efficient programs using functions, recursion, and advanced concepts like tail recursion
  • Perform file handling with CSV and JSON for real-world data processing
  • Use Python data structures (lists, tuples, sets, dictionaries) effectively in applications
  • Apply object-oriented programming concepts like inheritance and polymorphism in Python
  • Handle runtime errors using robust exception handling techniques
  • Explore advanced Python features such as lambda functions, decorators, and first-class functions
  • reate powerful data visualizations using pandas, matplotlib, and seaborn

Course content

8 sections48 lectures15h 49m total length
  • M1 Lesson 1 Introduction13:26

    Python 3 Programming Course outline, Versions of Python, History, features and applications of Python, Python Jobs

  • M1 Lesson 2 Python Interactive Shell14:37

    Installing Python 3, Interactive Mode Programming with Interpreter and Reference book.

  • M1 Lesson 3 Integrated DeveLopment Environment (IDLE)10:54

    Integrated Development Environment, Python's IDLE, IDLE for Interactive Programming, Arithmetic operations, Script mode programming,Program Execution steps in IDLE

  • Python Virtual Machine14:48

    Reference book, Interpreters and Compilers, Interpretation process, Python Virtual Machine

  • M1 Lesson 3 Built-in Library Functions9:59

    Batteries Included Philosophy, Maths Funcions, Colour Coding by IDLE, Other Built-in Functions, Memory administration in Python, Type Checking, Dynamic typing, Frozen Binaries Executables, Python Files, Python Implementations

  • M1 Lesson 4 Numerical Computations10:05

    Tokens, Identifier, Keywords, Constants and Variables, Python Literals, Numeric data types, Arithmetic Operations, Scientific Notation, Complex Numbers, Dot operator, Type Boolean, Operator Precedence with examples, Augmented Assignment Operators, Type conversion

  • M1 Lesson 5 Console Input12:43

    Console Input, Getting any number of inputs from the user, split function, eval() and Type conversion, Random Number Generation, Bit-wise Operators

  • M1 Lesson 6 Unicode5:11

    Unicode code points, Unicode Transformation Format (UTF), UTF-8, UTF-16

  • M1 Lesson 7 Strings8:24

    Printing strings, string concatenation, The str function, Multiline String, Escaping Quote, Escape Sequences, Index in a string, Negative Index

  • M1 Lesson 8 String Methods12:07
  • Console Output13:19

    Syntax of Console Output, Use of comma as separator, Other separators, Formatted Printing, Formatting in scientific notation

  • Formatted String Output14:14

    % preceded by a format specifier, Justification while printing, Formatted Printing of Integers, Formatting Strings, Use of %s as a place holder, Sequence Types

  • Advanced Formatted String Output15:11

    Using str.format method, Passing variables to the placeholder,

    Positional Arguments, Using Python string module and Template class, Using fstring, Checking whether a string is a palindrome or anagram

Requirements

  • No Prior programming experience is need; you will learn everything from the scratch
  • Should have flair for Logical reasoning and a bit of Mathematics
  • Should have access to computers since you have to carry out abundant programming during and after the course
  • Be ready to type the programs in your computer and execute them

Description

This comprehensive Python 3 (Core) course is designed to take you from fundamentals to advanced programming through hands-on learning. It includes hundreds of tested programs, 5 practical assignments, and real-world case studies to ensure deep understanding and application.

You will actively code using industry-relevant tools such as IDLE and Jupyter Notebook within Anaconda, enabling you to learn by doing, not just watching.

The course provides in-depth coverage of core programming concepts, including functions, recursion, and tail recursion, along with powerful Python data structures such as lists, tuples, sets, and dictionaries—explained in a clear, engaging, and practical manner.

You will master essential concepts like Unicode (UTF-8), strings, decision-making, and iteration, reinforced through executable examples. The course also demonstrates building a Python-based calculator and using mathematical and standard libraries effectively.

As an object-oriented language, Python enables scalable software development. You will gain a strong understanding of OOP concepts such as inheritance and polymorphism, helping you write reusable and maintainable code.

Robust software must handle unexpected situations. Through practical examples and case studies, you will learn how to manage runtime issues using Python’s exception handling mechanisms.

Discover the true power of Python through its “hidden gems”—including lambda functions, decorators, first-class functions, and function objects—concepts that elevate you from a programmer to a proficient developer.

The course also introduces fundamental data structures, including stacks and queues, along with key sorting techniques widely used in real-world applications.

In today’s data-driven world, visualization is essential. You will learn how to create meaningful insights using libraries like pandas, matplotlib, and seaborn, enabling both descriptive and predictive analysis.

Learning Approach

This course follows a step-by-step, program-driven methodology, where each concept is introduced through carefully designed examples. This ensures that you learn one concept at a time without overload, making even complex topics easy to grasp.

Why This Course?

  • Learn by writing and executing real programs

  • Strong focus on clarity + depth

  • Covers both fundamentals and advanced concepts

  • deal for students, engineers, and working professionals

  • Builds a foundation for AI, data science, and software development

Who this course is for:

  • Students willing to Learn Python
  • Software developers who wish to brush up their knowledge in Python
  • Beginner Python developer curious about machine learning and data science
  • Students of all streams such as engineering, Science and computer applications who have taken Python as a subject
  • Persons interested in new jobs in Machine Learning and data science
  • Persons with Programming as a hobby