This Workshop is designed for developers with experience of other languages who need to get up to speed on Python. At the end of this course the students will know the essentials of the Python language, how to use Python’s module system to structure code, and how to approach the development of Python programs.
We’ll cover the core Python language and the standard library in detail. This course will cover various skills including text manipulation, modular programming, working with and retrieving data, interacting with files on your computer, and using some of the more popular third-party libraries (and getting them installed when and where we need them). The goal is to get participants up and running with Python in as short a time as possible.
Importance of the Course
- Understand how to install and use Python
- Understand the fundamental Python programming techniques and tools.
- Discover the history of Python and how it compares to other programming languages.
- Discuss its applications and the types of problems it can solve.
Technologies Overview
- File handling, Exception handling, Command line arguments, modules and packages
- Linear & Non Linear Data structures
- API’s Integration with Python
- Python for Socket programming, SMTP, Mqtt protocols
- Django Python Web frameworks
- Computer vision with python
- Algorithms with Python
- Python Basics
SESSION | CLASS TOPICS |
| 1 | Introduction to algorithm Design, algorithmic problem solving. Introduction to programming with Python, Core objects and Built-in-Functions, Conditional statements and loops |
| 2 | Example programs : 1. Compute the GCD of two numbers. 2. Find the square root of a number (Newton’s method) 3. Exponentiation (power of a number) |
| 3 | Functions, Strings, Lists |
| 4 | Example Programs: 1. First n prime numbers 2. Multiply matrices |
| 5 | File handling, Exception handling, Command line arguments, modules and packages |
2. Python Programming
SESSION | CLASS TOPICS |
| 1 | Linear & Non Linear Data structures in python Example Programs: 1. Find the maximum of a list of numbers 2. Linear search and Binary search 3. Selection sort, Insertion sort 4. Merge sort, etc., |
| 2 | Tuples, Dictionaries with exercises Example Programs: 1. Programs that take command line arguments (word count) 2. Find the most frequent words in a text read from a file |
| 3 | 1.Moving duplicate elements from one list to other 2.Factorial 3.Tower of Hanoi 4.Rat in a maze 5.Traveling sales person problem 6.Chocolate and Wrapper Puzzle(0-1 Knapsack problem) |
| 4 | Object oriented programming & its concepts in python, Program organization with modules and packages |
| 5 | Understanding and implementing multiprocessing and multi-threading using pipes, filters, fork & sub-process. Serialization, unit testing, and file system interaction, Debugging |
3. API’s Integration and database Connectivity
SESSION | CLASS TOPICS |
| 1 | Accessing Excel with python, Logging in python, Programming Sql with python |
| 2 | Introduction to IOT and role of python, Handful python API’s and Protocols Real-time examples Thing speak. |
| 3 | Custom python API’s to send SMS, Mail, Social networks, Sports and weather |
| 4 | Google API’s (Speech recognition, Vision API, Maps & navigation) |
| 5 | Python for Socket programming, SMTP, MQTT protocols |
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