About Python Course
Python is a programming language with a wide range of uses, including game creation, data science, and data analytics. It aids programmers in creating logical and understandable programs for both big and small projects. It comes with a sizable standard library. Python programming is the most promising job in business and technology. RednWhite also offers c language course in Anand for shaping a successfull career
Course Duration 12 Months
Daily Time 2 Hours
Included In This Course
- Job Support
- Rich Learning Content
- Taught by Experienced Prof.
- Industry Oriented Projects
Course Modules
Python Training Course
- Python Course Objectives
- Introduction to Python
- Anatomy of Python
- How does Python work?
- A career in Python Technologies and Job Rules
- Potential of Python
- How Desktop Apps Created?
- What is Server-Side Scripting?
- How to Deal with Database
- Understand the working of any GUI Software
- Software making Process
- Working with System Programmatically
- How to interact with Files
- Creating your own Python Packages
- Dealing with Exceptions and Errors
- Emailing with Python
- Data Analysis with NumPy & Pandas
- How to make your executable Software?
- Interacting with CSV files
- Data Visualization with matplotlib
- Anatomy of client-server architecture.
- Creating a Chat App
- Web Scrapping & Web Automation
- How to work with JSON data?
- How does the website's backend work with the front end?
TIME DURATION:
6 Months
Core Python
- Introduction to Python (PPT)
- Introduction to Python
- Anatomy of Python
- How does Python work?
- Career in Python Technulogies and Job Rules
- Fundamentals of Python
- print() and input() Functions
- Variables, Datatypes & Operators
- Type Casting Constructors
- id() and type() Functions
- Datatype in Detail
- String Formatting & Manipulation
- Collection Datatypes with Its Methods
- The mutability of list & tuple
- Shallow & Deep Copy
- Type Casting and del Keyword
- Control Structure
- Types of Control Structure
- Short Hand Syntax (Ternary)
- Looping
- Types of Loops
- range() Function
- Control Statements
- List Comprehension
- Nested Loop
- Function in Detail
- Built-in Functions
- UDF
- *args, **kwargs and __doc__
- Function Recursion
- Anonymous / Lambda Function
- global keyword
- Return Multiple Values
- Array & Sorting
- 1D & 2D Array with List
- Sorting Collection Datatypes
- Object Oriented Programming (OOP)
- Class & Object
- Self & del Keyword
- Constructor and Destructor
- Encapsulation
- Nested Function
- Reflection Enabling Functions
- Inheritance & Polymorphism
- Types of Inheritance
- Method Overloading & Method Overriding
- issubclass() and super()
- Built-in Dunder Methods
- Operator Overloading
- Exception Handling
- try … except
- try … except … else
- try … except … finally
- try … except … else … finally
- Custom exception
- raise & assert keyword
- File Handling
- Modes of Opening File
- I/O Operation with File
- Working with Modules
- datetime module
- time module
- math module
- random module
- uuid module
- Modules and Packages
- Creating, Importing & Renaming modules
- __name__ with __main__
- Creating & Using Package
- dir() and __init__.py
- Regular Expression (RegEx)
- re module
- Getting Specific Pattern-wise Data
- Command Line Argument (CLA)
- sys module
- sys.argv
- Pip – Package Manager & Database Interaction (with MySql)
- What is SQL?
- SQL Queries
- Intro to XAMPP (phpMyAdmin)
- CRUD Operation with XAMPP (phpMyAdmin)
- Downloading and Installing Package
- mysql-connector module
- CRUD Operation with Python’s mysql.connector
- GUI with Tkinter
- tkinter module
- tkinter widgets
- tkinter geometry
- Binding functions
- Mouse clicking events
- messagebox()
- Types of pop-up box
- PhotoImage()
- pillow library
- Display image using pillow library
Advance Python
- Ios & subprocess Module
- Basic Terminal Commands
- os module
- subprocess module with call() & Popen()
- Multithreading & Email
- What is Thread in a Process?
- threading module
- Working of Email sending through Internet
- smtplib module
- email Package
- Iterators, Generators & Closures
- __iter__() & __next__()
- iter() & next()
- yield Keyword
- Generator Function
- Generator Object
- global, local & nonlocal Variables
- HIGHER ORDER FUNCTIONS
- sorted(), map(), reduce() & filter()
- DECORATORS
- Simple Decorator
- Chaining Decorator
- @classmethod & @staticmethod
- property() & @property
- Virtual Environment
- virtualenv
- venv
- requirements.txt
- pipenv
- Working with Editors & Idle
- Sublime Text 3
- VS Code
- Anaconda Navigator
- PyCharm IDE
- Data Analysis with NumPy
- NumPy Library
- NumPy Datatypes
- Array Indexing
- Array Math & Broadcasting
- 1D & 2D Array
- Arithmetic Operations on 2D Array
- Hot Modules of Python
- qrcode Library
- pyinstaller Library
- csv module
- Data Analysis with Pandas
- Pandas Library
- Data Structure
- Operations on DataFrames
- Handling Missing Data
- Boolean Reductions
- Combining DataFrames
- pivoting, sorting & aggregation
- Descriptive Statistics
- Types of Function Application
- groupby() & transform()
- Re-indexing& Altering Labels
- Data Visualization
- matplotlib Library
- Types of Charts with pyplot
- Networking
- What is Socket & Port?
- What is Client & Server
- socket module
- Socket Programming
- Web Scrapping
- requests Library
- beautifulsoup Library
- Web Automation
- selenium Library
- Different Browser’s WebDrivers
- JSON Parsing
- What is JSON?
- json module
- Serialization & Deserialization of Data
- Read and Write JSON data with File
- Working with Live JSON API Data
- Introduction to Web Development
- Basic HTML
- What is Framework
- Installing Flask Microframework and Run First Web App
- Routing and Variable Rules
- URL Building
- HTTP Methods
- Templates
- Static Files
- Sending Form Data to Template
- File Uploading
Django Web Development
- Introduction to Django Framework (PPT)
- What is a Web Framework?
- MVT Architecture
- Setup Virtual Environment
- Installing Django
- Exploring Directory Structure
- Creating First Django Project
- Setting-up Django Web App
- Creating First Django App
- Understanding URL Routing
- Handling Different Views
- Running Web App on Server
- Templates with DTL (Django Template Language)
- Setup Template directory’s Path
- Creating and Rendering Templates using URL Routings *
- Passing Context in Multiple Templates
- Using DTL to load context in Template
- Tags, Variables & Filters
- Template Inheritance
- Form Handling
- Raw HTML Form
- Pure Django Form
- Form Widgets
- Display Form to Multiple Templates
- URL Routing
- Dynamic URL Routing
- Creating and Linking Multiple Apps
- In App URL Routing & Namespacing
- Django URLs Reverse
- Views and Mixins
- FBV (Function Based Views)
- CBV (Class Based Views)
- Convert FBV to CBV
- Custom Mixins for CBV
- Static File Handling
- Setup static and media directory’s Path
- Adding Bootstrap for Frontend Enhancement
- Collect Static Files
- Working with Models
- Django Database Models
- Model Fields
- Model Inheritance
- Add an App to INSTALLED_APPS
- Migrating Models to Database
- Update Models and Migrate
- DAP (Django Admin Panel)
- Creating Superuser
- Exploring DAP
- Manage Superuser
- CRUD Operations with DAP
- @admin.register()
- Customizing DAP
- ORM (Object Relational Mapper)
- Using Django python-shell
- Using ORM to deal with Database
- CRUD Operation using ORM
- Retrieve Data using Filters
- Dynamic Templates
- Dynamic Webpages
- Retrieve Data using QuerySets
- Passing context to Template
- Form Validation
- Django ModelForm
- Form Validation Methods
- Setting initial values for Forms
- Working with Another Database
- Integrating MySQL Database
- Using XAMPP for Database Interaction
- User Authentication
- @login_required decorator for FBV
- LoginRequiredMixin for CBV
- login(), logout() and authenticate() methods
- get_object_or_404() method
- Creating APIs Using DRF (Django Rest Framework)
- Intro and Installing DRF
- Add DRF to INSTALLED_APPS
- Adding REST_FRAMEWORK in settings.py
- What is Serializer and Deserializer?
- Serializer Class and ModelSerializer Class
- APIs using Serializers, FBV, CBV, Model Mixins and Generic API Views
- Testing Browsable APIs
- Using DRF’s URL
- Using Postman
- Routing and Authentications in DRF
- Types of ViewSets
- Types of Routers
- authentication_classes and permission_classes properties
- Documenting APIs
- Using drf-yasg package
- Integrating drf-yasg into settings.py
- Generating APIs Docs
- Test browsable APIs using drf-yasg’s url
- Publishing Django Web Application
- Deploy on GitHub
- Deploy on pythonanywhere
- Collect Static Files
Python Training Course Overview
WHY IS PYTHON GOOD FOR?
Additionally, it supports a variety of programming constructs, including procedural, structured, object-oriented, and functional programming. Python's straightforward and simple to learn phrase structure increases understandability and lowers maintenance costs. This is a dynamically semantically joined, object-oriented, translated programming language. It keeps track of many modules and packs that support increased program quality and code reuse.
Students may benefit from the practical training and Python tutorials provided by the reputable institutions on Anand list to learn how to create programs using Python. Anand has put up a list of training facilities so you can access the best ones in Anand that are perfect for your requirements. We also provide Python Training in Rajkot and Android Training in Anand.
WHY CHOOSE OUR PYTHON TRAINING IN ANAND
On a worldwide level, python-related job prospects are expanding substantially. Major corporations use the Python programming language due to its straightforward codes and rapid reading features. Python is a fantastic tool for coming up with original ideas. Every day, more job seekers express interest in Python. In our Python course, we instruct the students in a continuous environment, moving from fundamental to cutting-edge concepts. A wide range of Python programming highlights are included in our work-prepared Python programming instructional plan, including
FAQ
Which certification is best for Python?
- Certified Entry-level Python Programmer (PCEP)
- Certified Associate in Python Programming (PCAP)
- Certified Professional in Python Programming (PCPP1)
- Certified Professional in Python Programming (PCPP2)
Is there any exam for Python?
- The OpenEDG Python Institute permits possibility to take accreditation tests at three capability levels: Entry (PCEP) Associate (PCAP) Professional (PCPP)