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