Python Essentials [Fastrack]

By the end of this course, participants will be able to:

• Understand and apply Python logic and algorithms.
• Adopt and implement efficient development processes.
• Code proficiently in Python.
• Utilize various Integrated Development Environments (IDEs).
• Implement loops, functions, and recursion.
• Work with filing systems and data acquisition.
• Navigate operating system necessities.
• Learn and apply new Python techniques.
• Integrate external libraries, including C libraries.
• Engage in image processing for Optical Character Recognition(OCR).

Participants are expected to have:

• Access to two screens (For online virtual training only).
• A steady webcam setup (For online virtual training only).
• Internet connection with at least 1 MBPS speed.
• A Google email address OR administrative rights to install Anaconda and Python.
• libraries on the go (either one would do).
• Basic understanding of uploading, downloading, and managing files.
• Familiarity with local file system operations.
• Willingness to learn and have fun learning.

Module 1: Introduction to Python

• Logic and Algorithm Basics
• Overview of the Programming World
• Installing Python and Setting Up the Environment
• Integrated Development Environments (IDEs): IDLE, Notebooks, Google’s Colab

Module 2: Core Concepts: Variables and Data Types

• Understanding Variables in Python
• Basic Data Types and Their Operations
• Variables and Script Updates
• Quizzes and Practical Exercises

Module 3: Numeric in Python

• Understanding Numbers and Basic Arithmetic
• Floats, Modulo Operations, and Order of Operations
• Introduction to Python's Math Module
• Hands-On Project and Quizzes

Module 4: String Manipulation

• Basics of Handling Text in Python
• String Methods and Operations
• Coding Exercises: Text Manipulation and Correction
• Practical Project on String Handling

Module 5: Conditional Logic and Flow Control

• Understanding Booleans and Comparison Operators
• Implementing 'if' Statements
• Logical Operators and Their Applications
• Coding Challenges and Quizzes

Module 6: Data Structures in Python

• Lists, Dictionaries, and Their Operations
• Advanced Methods for List Manipulation
• Practical Projects Involving Data Structures

Module 7: Loops and Functions

• Introduction to Loops: 'While' and 'For' Loops
• Deep Dive into Python Functions
• Exploring Variable Scope, Keyword Arguments, and Default Parameters
• List Comprehensions and Practical Exercises

Module 8: Practical Application and External Libraries

• Implementing Recursion
• Data Stream Conversion Techniques
• Data Acquisition Methods
• Utilizing External Libraries for Practical Applications
• Projects: Graphic Overview and Data Extraction for Historical Stocks

Module 9: Advanced Processing Techniques

• Optical Character Recognition (OCR)
• Integrating External C Libraries
• Advanced String Formatting with f-strings
• Web Scraping Essentials
• Error Handling and Management

Module 10: Operating System Utilities and File Handling

• Utilizing OS Utilities in Python
• File Reading and Writing Techniques
• Structured File Reading Methods
• Practical Exercises on File Handling

Module 11: New Features in Python 3.10 and 3.11

• Exploring F Strings and Customizations
• Understanding and Implementing the 'Switch' Statement
• Optimizations
• I/O Read/Write Parallelization Techniques