- Why Python and where to use it?
- What is Python and history of Python?
- Discussion about Python 2 and Python 3
- Set up Python environment for development
- Discuss about IDE’s like IDLE, Pycharm and Enthought Canopy
- Unique features of Python
- Discussion about unique feature of Python
- Write first Python Program
- Start programming on interactive shell.
- Using Variables, Keywords,
- Taking Built-in Functions help,
- Strings, Different Literals,
- Math Operators and Expressions,
- Writing to the Screen, String Formatting, Command Line Parameters
- Python Identifiers, Keywords and Indentation
- Comments and document interlude in Python
Python classes in Wakad, Pune
Who can learn Python?
In short anyone....
- Automation Engineers
- Data analysts and scientist
- Quality Analysts
- System Administrator
- Web Developers
- Networking Professionals
- Software Developers
- Hadoop programmers
- Desktop Applications
- Robotics Engineers
- Hardware level developers
- And Many Many More …
-
Prerequisites for this course: Familiarity with the Python programming language Basic understanding of statistics, probability and linear algebra.
Course Duration: Instructor lead: 60 hours + Practical’s
Syllabus
- Discussion about installed module s and packages
- Various python built in functions and Getting User Input
- What are variables?
- Python Data Types
- Python Core objects and Functions
- Number, String, List, Dictionaries, Tuple, set, generator, file etc
- Built in modules (Library Functions)
- Number and Math’s, datetime and zip modules
- Condition statements in Python
- Loops and statement in Python
- Python Decorators and Generator
- Python Modules & Packages
- Python Files and Directories manipulations
- Read, write and append files using file objects
- Use various files and directory functions for OS operations
- Access Number/String/List/Dictionaries/Tuple
- Complex Data structures in Python
- Arbitrary data types and their Data Structure
- Python built in function
- Python user defined functions
- Python packages functions
- Defining and calling Function
- The anonymous Functions - Lambda Functions
- Object oriented features
- Understand real world examples on OOP
- Implement Object oriented with Python
- Creating Classes and Objects, Destroying Objects
- Accessing attributes, Built-In Class Attributes
- Inheritance and Polymorphism
- Overriding Methods, Data Hiding
- Overloading Operators
- Python Exceptions Handling
- What is Exception?
- Handling various exceptions using try....except...else
- Try-finally clause
- Argument of an Exception and create self exception class
- Python Standard Exceptions
- Raising an exceptions, User-Defined Exceptions
- Debug Python programs using pdb debugger
- Pycharm Debugger
- Assert statement for debugging
- Testing with Python using UnitTest Framework
- Project Skelton and using Nose framework.
- Creating a Database with SQLite 3,
- CRUD Operations,
- Creating a Database Object.
- Python MySQL Database Access
- DML and DDL Operations with Databases
- Performing Transactions
- Handling Database Errors
- Disconnecting Database
- What are regular expressions?
- The match and search Function
- Compile and matching
- Matching vs searching
- Search and Replace feature using RE
- Extended Regular Expressions
- Wildcard characters and work with them
- What is pip, easy_install and Pycharm?
- Set up the environment to install packages?
- Install packages for XLS interface and XLS parsing with Python
- Create XLS reports with Python
- Introduction to web scraping and beautiful soup
- Introduction to Python Pandas
- Creating Data Frames,
- Grouping, Sorting
- Plotting Data
- Data analysis with data set
- Practical use case using data analyze
