Python

Course Description

The course covers the ground work of python programming langauge. In Python Programming, we start from the basics of pythons, like Why Python? What is Python? How to Install? History Of Python followed by Python TUPLE - Pack, Unpack, Compare, Slicing, Delete, Operators and Control Flow Statements, Loops, For and While ,Lists, Tuples and Sets and then moves upto the object oriented concepts of Class, Object, Constructor, Inheritence, Overloading, Exception-Handling and Multithreading. Then We focus on the GUI aspect of the Python Programming covering the library tkinter and its widgetsand then focusing on the database concept library mysql connector. The other libraries that are included in the course are: numpy, matplotlib, pandas

We provide 6 weeks and 6 months industrial training in Python Programming With DJango Python and provide the ISO certificate at the end of the course. At NCC, we also provide the complete guidance in building college level professional projects.

Learning Outcomes

• Over 45 Lectures and 6 tests
• Testing Training Included.
• Learn software development in Python from a professional trainer.
• Information packed practical training starting from basics to advanced testing techniques.
• Best suitable for beginners to advanced level users and who learn faster when demonstrated.
• Course content designed by considering current job market.
• Practical assignments at the end of every session.
• Practical learning experience with live project work and examples.

Python Topics in a glance

• Lecture 1.1 Task Why Python? What is Python? How to Install? History Of Python
• Lecture 1.2 Installing Pycharms and Running programs in IDLE and in Pycharm
• Lecture 1.3 Python TUPLE - Pack, Unpack, Compare, Slicing, Delete, Key
• Lecture 1.4 Programming Basics. Tokens, Keywords, Data types
• Lecture 1.5 Operators and Control Flow Statements
• Lecture 1.6 If_else practice and program to implement switchcase using if-else
• Lecture 1.7 Loops, For and While
• Lecture 1.8 Lists, Tuples and Sets
• Lecture 1.9 Filters -> Generic and List Filters
• Lecture 2.0 Python Strings: Replace, Join, Split, Reverse, Uppercase & Lowercase
• Lecture 2.1 Python Main Function & Method Example: Understand __main__
• Lecture 2.2 Python File Handling: How to Create, Open, Append, Read, Write
• Lecture 2.3 Reading and Writing CSV Files in Python using CSV Module & Pandas
• Lecture 3.0 Pandas Library, Merging, Grouping, Concatenation
• Lecture 4.0 Numpy Library, Arrays in Numpy, Join, Split, Search, Sort, Filter
• Lecture 4.1 Python Exception Handling: Try, Catch, Finally
• Lecture 5.0 Python JSON: Encode(dump), Decode(load) json Data & File (Example)
• Lecture 5.1 SQL QUERIES, DML and DDL Statements
• Lecture 5.2 Python with MySQL: Connect, Create Database, Table, Insert [Examples]
• Lecture 5.3 Python OOPs: Class, Object
• Lecture 6.0 Python Constructors and __main__
• Lecture 6.1 Inheritance and Method Overriding
• Lecture 6.2 Ducktyping, Overloading the functions
• Lecture 7.0 TkInter Library
• Lecture 7.1 Mysql Connector
• Lecture 7.2 Designing Forms using TkInter
• Lecture 8.0 Linking Database with TkInterForms
• Lecture 8.1 Graphs and Spanning Trees
• GUI Assignments and Project