Who should learn Python?
1. Testing professionals
2. Senior IT Professionals
3. BI /ETL/DW professionals
4. Developers and Architects
5. Mainframe professionals
Pre-requisites for Python Course
Gyansetu’s Python Training in Gurgaon will make you an expert in Python programming Language as well as in the field of Machine Learning. During the training you will be working on the real time scenarios related to analytics such as Prediction Analysis, Linear Regression and various Machine Learning Algorithms.
Python is a great first programming language to learn for beginners. Python Training will help you understand both basic & advanced level concepts of Python like writing python scripts, sequence & file operations in python, Machine Learning, Data Analytics, Web application development & widely used packages like NumPy, Matplot, Scikit, Pandas & many more. Professionals who don’t have good coding skill need not worry, Python is the most user-friendly and easy to learn language, is used as a powerful tool in handling advanced analytics applications.
After the completion of Course, you will be able to:
Industry : Politics
Various Steps for Sentimental Analysis:
Industry : Government (Census data Set or government site data set)
Industry : Social
Industry : Entertainment
You can Learn Python with Machine Learning also. CLICK HERE
Learning Objectives – Understand what Python is and why it is so popular. Learn how to set up Python environment, flow control and write your first Python program.
a) List is a most versatile data type in python which can be written as a list of comma separated values between square brackets.
b) Accessing Values in Lists
c) Updating Lists.
d) Delete list elements.
e) List Operations.
a) Python tuple is a sequence of immutable objects.
b) Accessing Tuple
c) Elements in a Tuple
d) Tuple Operations.
a) Each key is separated from its value by a colon (:)
b) Accessing values in Dictionary
c) Updating Dictionary
d) Deleting elements in Dictionary
e) Properties of Dictionary elements
f) Built in Dictionary functions & methods.
Date, Time & Date Time classes provides a number of functions to deal with dates ,times & time interval.
Date Time classes in Python are categorized into five main classes:
a) Time : Time independent of the day( Hour,minute, second,microsecond)
b) Datetime : Combination of time & date ( Month, day , hour, second, microsecond)
c) Timedelta : a duration of time used for manipulating dates.
d) Tzinfo : An abstract class for dealing with time zones.
Learning Objectives – Understand how to use and create functions, sorting different elements, Lambda function, error handling techniques and using modules in Python.
Topics – Functions, Function Parameters, Global Variables, Variable Scope and Returning Values. Sorting, Alternate Keys, Lambda Functions, Sorting Collections of Collections, Sorting Dictionaries, Sorting Lists in Place. Errors and Exception Handling, Handling Multiple Exceptions, The Standard Exception Hierarchy, Using Modules, The Import Statement, Module Search Path, Package Installation Ways.
1) Fork & Forking in Python
2) Introduction to Threads
3) Pipe & Pipes in Python
Ex : 99 Bottles of Beer
4) Python Network Scanner
5) Graphs in Python
6) Currying in Python
7) Towers of Hanoi Python
8) Sets & FrozenSets
9) Iterators & Generators
10) Python Decorators
13) Magic Methods in Python
14) Python Metaclasses
15) Socket Programming in Python
16) Python GIL( Global Interpreter Lock)
17) Shallow & Deep Copying of Python Objects
18) Python Conventions
19) Python Context Managers
20) Python Design Patterns
21) Python Module
22) Python MongoDB
23) Python Pickle
24) Advanced Collections
25) Advanced Classes & Objects
26) Built-In Functions:
27) Python Comprehensions:
At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a data set to work.
Once you are successfully through with the project (reviewed by an expert), you will be awarded with GyanSetu’s Python Developer Certificate.
At the end of the course you will become Certified Python Professional