PYTHON – Core & Advanced Python
Python Training in Hyderabad course helps students develop skills in libraries including Pandas, matplotlib, scipy, numpy, PyGTK, SymPy, Flask, PyTorch along frameworks and numerous packages.
- Live Instructor – Online and Classroom Training
- Training by Highly-Qualified DevOps Industry Experts
- Advanced Curriculum Covering All the Trending Topics
- 100% Practical Based Learning with Real-World Use Cases
- Best Institute for Python Training in Hyderabad
Jupiter Technologies Python Training in Hyderabad program will be an apt choice for the aspirants who are willing to build a career in programming. This advanced Python course would transform you into an expert Python programmer with skills in libraries including Pandas, matplotlib, scipy, numpy, PyGTK, SymPy, Flask, PyTorch along frameworks and numerous packages. Participants will learn Python scripts and Python basics, be it for Web Development or Data Analysis or Data Visualization or whatever may be the application, this Best online Python training course prepares you to handle the critical challenges in the programming applications across the industry verticals.
Brief Description About The PYTHON – Core & Advanced Python
Python overview
- What is python?
- The Birth of Python
- History
- Features
- Versions
- Applications of Python
The Python Environment
- Installation of Python
- Python Documentation
- Getting Help
- How to develop Python application
- Python editions and IDE’s
- Basic Syntax
- Running a Python Script
- Python Script on Unix/Windows
Getting started
- Keywords, Data Types
- Variables, assign values to variables
- Multiple assignments
- Space Indentation
- Quotes, Comments
- Print (), Type (), Id ()
- Functions Input
- Raw input () functions
- How to read the data from keyboard
- Type conversions
- Number system
- Mutable and immutable objects
String handling
- What is String?
- Single-quoted String literals
- Triple- quoted string literals
- String indexing , string slicing
- String functions
- String methods
Operators
- Arithmetic operators
- Relational operators
- Logical operators
- Assignment operators
- Short hand assignment operators
- Bitwise operators
- Membership operators
- Identity operators
Flow control
- Conditional statement
-Simple if, if…else, if…elseif…
- Looping statements
-while, for, infinite, nested
- Break
- Continue
- Pass
Sequences
- Creating list
- Accessing/deleting/updating list elements
- Indexing
- Slicing matrix
- Built-in list functions and mthods
- List comprehension
- Tuples: what is tuple, creating tuple
- Axising/deliting/updating tuple elements
- Indexing, slicing and matrix
- Built-in methods
Dictionary
- What is dictionary
- Creative dictionary
- Accessing/ deleting/updating dictionary elements
- Working with built-in dictionary
- Functions and methods
- Dictionary comprehension
Functions
- Defining a function
- Calling a function
- Function parameters
- Returning values
- Variables scope
- Call by value
- Call by reference
- Passing collections to a function
- Passing function to functions
- Lambda functions
Modules
- What is module?
- Creating user define module
- Setting path
- The import statement
- Modules search path
- From… import
- Module Aliases
- Dir function
- Working with standard module
- Math, Random
- Date and time
- Os and sys, String …
Errors & exception handling
- Syntax errors
- What is exception
- Need of exception handling
- Pre- defined exceptions
- Except, Try, Finally clause
- Handling multiple exceptions
- Used defined exceptions
- Raise
- Assert statement
File handling
- Opening a file
- Closing a file
- Writing data to a file
- Reading a data from file
- Tell()
- Seek()
Advanced Python
Oops concepts
- About OO programing
- Defining classes
- Creating objects
- Class methods and data
- Static methods
- Private methods
- Constructors
- Destructors
- Inheritance
- Types of Inheritances
- Polymorphism
- Overload & over riding
- Data hiding
Regular expressions
- What are regular expressions?
- Wild card characters
- Forming regular expressions
- Character class
- Quantifiers
- Greedy matches
- Grouping, matches, search functions
- Matching v/s searching
- Sub functions splitting a string
- Replacing text
- Flags
Multi-threading
- Defining a thread
- Starting a thread
- Threading module
- Threads synchronization
- Multithreaded priority queue
Database access
- Basics of database
- Connections
- Executing queries
- Transaction management
Advanced concepts
- Iterators
- Generators
- Closure
- Ddecorator
Advanced modules
- Math’s and science
- Numpy
- Scipy
- Matplotlib
- Data analysis (pandas)
- Network programming
- Socket module
- Twisted module
- Client and server
- Testing (selenium)
- Web scraping
- Web scraping
- Python web
- Mechanize
- GUI programming
- Tkinter programming
- pyGtk