Overview
Python a High level Programming Language and optimizes for lesser lines of code which rise the readability of programming script. Python also support object oriented programming and also it has automatic memory management and dynamic type of system with a large wide-ranging library to support developers. Even if you haven't touched coding before, it won't matter.
Why take Training in Python?
Python’s easy and varied nature made a place in the top most popular programming language of 2018. Python Scripting is one of the easy languages to learn and is extensively used from individuals to big organizations such as Google. BitTorrent, YouTube, Dropbox, Deluge, Cinema 4D and Bazaar are a few globally- used applications based on Python. This course structure offers detailed information of scripting elements like variables, flows control and structural and functional programming for software development. GRRAS designed Python Training course in Jaipur in step with student's demand to be inure industries through that candidates can simply get placement in their dreamed firms and companies. So you can enter in any big organization with the help of good Python experienced course. Python is the future of Artificial intelligence and machine learning. As it offers flexibility over language making it more interactive. Taking Python as a career offers worthwhile job profiles. After Python training you can opt any of the listed job profile- Software Programmer, Python Programmer, Research analyst, Data analyst and many more.
Curriculum
All About Python
- Origin
- History
- Scope, popularity, future of python
- Achievements of Python
- Mega Projects hosted in Python
Python Installation and Environment Setup
- Flavours of python like Ipython, Cpython, PYPY etc
- Development Environment &Requirements
- Installation on windows
- Installation on Linux
- Installation on mac
- IDE of Python IDLE, Jupyter, PyCharm, Vscode, vim
Writing first program in python
- Vim and command line creating first hello program in python
- Vscode & PyCharm as IDE
- Jupyter-Notebook and it’s features for fast, simple learning process
Syntax of python
- Python coding Style
- Indentation
- Comments in python
- Keywords in python
- Built-in functions in python
Data type and Data Structures
- Numbers
- Strings
- List
- Dictionary
- Tuples
- Sets
- Frozen Sets
- Type Casting
Control Statements
- Flow diagrams
- If – else
- Nested if else
Looping in Python
- For Loop
- While Loop
- Break
- Continue
- Else with loop
Functions in Python
- Built-in Functions zip, enumerate, eval
- exec, min, max, ord, chr, sorted, reversed
- len, sum, power, divmod etc.
- Defining Custom Functions
- Function Calling
- Scope Resolution global, local, nonlocal scope
- Code Reusability
- Recursion
Advance Functions in Python
- Lambda anonymous function
- Map & Reduce function
- Filter function
- Lazy Evaluation
Closures and Decorators in Python
- Memorization using closures
- Writing extensible functions using Decorators
- Decorators to implement oops like functionality to functions
OOPS
- Encapsulation
- Abstraction
- Data hiding
- Data Security
- Access Control
- Inheritance
- Polymorphism
- Overriding
- Operator Overloading
- Classes
- Objects
- Implementing Data Structures using OOPs
- Message Passing and Share Space in OOPs
Advance OOPs
- Name Mangling in OOPs
- MRO (Method Resolution Order)
- Meta Classes
- Slots
- Properties
- Class methods
- Static methods
Implementation of Data Structures in Python
- Implementing Stack
- Implementing Queue
- Implementing Link-List
Generators & Iterators in Python
- Memory Optimization Techniques
- Lazy Evaluation
- Custom Generators & Decorators
- Zip like generator objects and their working
Exception Handling
- Exceptions and Errors
- Built in Exceptions
- Handling Exceptions
- else keyword with exception
- finally, keyword to define Clean Up Actions
- Custom Exception using raise keyword
- Assertion Error, assert keyword for assertions
- Creating Custom Exception Class
File Handling
- Type of file formats and their significance
- File Creation and writing data to files
- Reading data from a file
- Overwriting files
- Dealing with excel sheets, csv files
- Making data persistent to create real life projects
Data Serialization
- Serialization and De-Serialization
- Serializing python objects using pickle, json and shelve modules
- Deserializing Object State to read data from byte file or from network
- Storing Custom Objects to make state machines
Installing Third Party Modules in Python
- Pip (Python Package Installer)
- Installing packages and modules using pip
- pypi (python package index) repository for package lookup
- Offline installation of a package using pip
Database Connectivity
- Concept of Data Base Management Systems
- Using sqlite3 to store lite data in database like format
- CRUD (Create, Read, Update, Delete) Operations
- Data Base Connectivity in Python
Modules and Packages in Python
- Module name space
- If __name__ == “__main__” in Python
- Defining Custom Modules
- Creating Packages in Python
- Testing Packages
- Importing and using custom packages
- Adding custom modules to library
Standard Library in Python
- Os and Sys Module to interact with Operating System
- Shutil Module to copy, paste and delete files
- Subprocess Module to execute commands & their output
- Zlib for data compression
- Time & Datetime Module for time management
Graphical User Interface using Tk
- GUI basics
- Widgets like button, label, frame, canvas, radio buttons
- Check Buttons, dropdown menus, scroll bars
- Progress Bars, message box, text box, entry widget etc
- Geometry Managers like place, grid, and pack
- Dialog box, top level window implementation
Virtual Environment
- What is Virtual Environment
- Difference between Production and Development Environment
- Package versions and their importance in projects
- Creating a separate environment for Python Projects
- Activating Virtual Environment
- Installing Different Version of packages in different environments
- txt file
- README file
APIs
- Application Programming Interfaces
- Accessing Google place APIs
- Accessing Facebook Graph API
- Weather API & Others
GitHub
- Self-Paced through video
Flask Web Framework of Python
- Installation and Configuration of Flask
- Hello World to web using Flask
- Templates
- Jinja2 Template Rendering (Include and Extending)
- Handling GET and POST requests in Flask
- Integrating HTML, CSS, Flask together
- Web Forms
- Cookies and Sessions in Flask
- Database in Flask
Data Science & Machine Learning Overview
- Data Science & Machine Learning Pipeline
- Stats & Probability
- Numpy, Pandas, Matplotlib
- Machine Learning Implementation
Computer Vision
- Image Processing
- OpenCv Module
- Face detection
Course Features
FAQ
You can enroll to this program following the application process mentioned here:-
Depending upon the area of interest, a candidate can opt the course.
We have limited seats; you can make the payment in the payment link which gets generated to your registered email.
You will get E-Mail and whole the registration process there.
We do have Cash/ Card/ Paytm/ Google pay etc payment option.
You can pay your fees in installments also.
Reach out to https://grras.com/internship / 9001997178/ 9772165018 in case you do not have a provision to make an online payment or you have any query.