Why take Python Training?
- Python is easy to learn and use
- Python reduces time to market
- Less Code, Less Time, Less Money
- Utilized by World Leaders
Brief about topic
Python continues to attract new users for a variety of reasons. It’s a true cross-platform language, running equally well on Windows, Linux/UNIX, and Macintosh platforms, as well as others, ranging from supercomputers to cell phones. It can be used to develop small applications and rapid prototypes, but it scales well to permit development of large programs. It comes with a powerful and easy-to-use graphical user interface (GUI) toolkit, web programming libraries, and more. And, best of all – it’s free.
- Introduction about Python
- Strengths and Weaknesses
- A Brief History of Python
- Python Versions
- Installing Python
- Environment Variables
- Executing Python from the Command Line
- Editing Python Files
- Getting Help
- Dynamic Types
- Python Reserved Words
- Naming Conventions
Basic Python and Data types
- Basic Syntax
- String Values
- String Operations
- The format Method
- String Slices
- String Operators
- Numeric Data Types
- The print Function
- Introduction to different data collection options in python: Lists, Tuples ,Sets, Dictionaries
- Basic operations on these data types like create, Sort, update, copy
Python Program Flow Control
- Conditional blocks using if, else and elif
- Simple for loops in python
- For loop using ranges, string, list and dictionaries
- Use of while loops in python Loop manipulation using pass, continue, break and else
- Programming using Python conditional and loops block
- Defining Your Own Functions
- Organise python code using function
- Function Documentation
- Keyword and Optional Parameters
- Passing Collections to a Function
- Variable Number of Arguments
- Passing Functions to a Function
- Mapping Functions in a Dictionary
- Powerful Lambda function in python.
Modules and Packages in python
- Modules: Standard Modules – sys,math,time
- The dir Function
- Organizing python projects into modules
- Importing own module as well as external modules
- Understanding Packages
Exceptions in python
- Run Time Errors
- The Exception Model
- Exception Hierarchy
- Handling Multiple Exceptions
- Writing Your Own Exception Classes
Python file operations
- Understanding read functions, read(), readline() and readlines()
- Understanding write functions, write() and writelines()
- Manipulating file pointer using seek
- Programming using file operations
Object oriented programing in Python
- Classes in Python
- Principles of Object Orientation
- Creating Classes
- Class Variables
- Inheritance, overlapping and overloading operators
- Custom Exception Classes
- Class Documentation – pydoc
- Real time use of class in live projects
- Adding and retrieving dynamic attributes of classes
- Programming using Oops support
Data Scientist has been named the best job in America for 2018 with median base salary of $242,000 and 4,524 job openings - Forbes
According to the TIOBE index, Python is one of the most popular programming languages in the world
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Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.
Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.
Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.
Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.
It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
It has evolved as the most preferred Language for Data Analytics and the increasing search trends on Python also indicates that it is the
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