Remember Python fundamentals? Let’s advance to the next level!!

Module 1: Getting familiar with the common IDEs.

  • Introduction to Jupyter Notebook and PyCharm
  • Getting familiar with the Notebook interface
  • Working with Notebook
  • Understand the PyCharm environment and features.

Module 2: File management; Common types of files and how to parse them.

  • Binary file handling using Pickle.
  • Reading png images and conversion to binary using base64
  • Importing files
  • Parsing CSV files using the readlines method
  • Parsing CSV files using the CSV module
  • JSON -in everyday life
  • Inter-file conversions
  • Data display using Tabulate.
  • Projects using CSV and Tabulate

Module 3: Error handling and debugging

  • Most common exception errors in Python
  • Exception Handling using Try, Finally, and Except blocks.
  • Resource handling during exceptions
  • Use of Python Built-in Exception
  • Python Debugger (PDB)
  • Practice problems

Module 4: Object-Oriented Programming in Python

  • Procedural vs Object-Oriented Programming
  • Concept of data hiding
  • Class and Objects
  • __init__ function
  • Use of self in OOPS
  • Class Variables vs Instance Variables
  • Accessor & Mutator in Python
  • Inheritance
  • Polymorphism
  • Method Overriding
  • Special methods
  • Assignments

Module 5: Basics of Regular Expressions

  • “RegEx” patterns!
  • The re Library
  • Meta characters
  • “RegEx” functions
  • Grouping
  • Replace with sub () method.
  • Use of Special Characters
  • Projects

Module 6: Fundamentals of Data Science

  • Scientific Computing using “numPy”
  • Using functions to create, sort, and split “numpy arrays.”
  • Artificial images using “numpy.”
  • Interactive data visualizations using “Matplotlib”!
  • Understand “DataFrames” in Pandas.
  • Accessing elements and operations with “DataFrames”
  • Dealing with “NaN” values
  • The “groupby” methods in “DataFrames”.
  • Projects

Module 7: Fundamentals of Image Processing using “Pillow”

  • Importing and reading JPEG images using Pillow
  • Converting images to numpy
  • Changing basic image attributes-size
  • Crop an image, copy and paste.
  • Rotate and flip an image!
  • Projects

Module 8: Process and Threads in Python

  • Concepts of multitasking and parallel processing
  • Difference between Process and Thread
  • Threading Module
  • Multithreading with kwarg and args!
  • Synchronization issues
  • Deadlock in the Operating System
  • Locks, Rlock and Semaphores, and Condition variables
  • The “multiprocessing module”
  • IPC (Interprocess communication)

Module 9: Basics of Networking

  • Understand the network layers.
  • Connections
  • Sockets

Module 10: Protocols

  • Transmission Control Protocol -TCP/IP
  • Application Layer Protocol- HTTP

Module 11: Communication Over Networks

  • Chat Application
  • Sending a Text e-mail using Python
  • Sending an HTML e-mail using Python
  • Sending Attachments as an E-mail
  • Application-based projects

Module 12: Fundamentals of the Internet of Things

  • Understand the Architecture
  • Discuss the Protocols

Module 13: Web Scraping using Python!

  • Understand HTML structure!
  • Parsing HTML using BeautifulSoup4

Module 14: GUI with “Tkinter”

  • Intro to GUI using “Tkinter”
  • Basic definitions and concepts
  • Create the First GUI Application
  • Creating windows and buttons
  • Packer
  • Get Input Using the Entry Class
  • Frames and Notebook
  • Creating a file menu with edit and save options.
  • Projects and assessments

Module 15: Fundamentals of Machine Learning

Module 16: Fundamentals of Artificial Intelligence

Open A World Full of Possibilities

Teaching fundamental programming to children, especially at a young age, opens up a world of possibilities for them to develop and prosper. Learning to code encourages critical thinking in children and prepares them for a society that is becoming increasingly tech-driven.

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