Our Python Web Development Course Syllabus is designed to teach you how to create websites using Python. Starting with the basics of Python programming, the course then covers more advanced topics like web frameworks (such as Django or Flask), integrating databases, and working with front-end technologies. You’ll learn through hands-on projects and real-world examples, gaining practical experience in building dynamic websites. The syllabus also has a lot of credibility because it is curated by IT industry professionals, So, start your learning in our Python Web Development Training Institute in Chennai
Python Web Development Course Syllabus
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Breakdown of Python Web Development Course Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
May 2024
Week days
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Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
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May 2024
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(Sat-Sun)
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4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
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Syllabus for The Python Web Development Course
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TOPICS COVERED: [TOTAL HOURS : 50 -60]
1
- Base Python
- Programming Python
- Intermediate Python
- Modular Python
- Analytical Python
- Advanced Python
- Application Programming In Python
Chapter1: Informal Introduction To Python
2
- Various definitions for python
- History of python development
- BDFL of python
- Reason behind python development
- General features Vs Salient features
- Interactive mode Vs Scripting mode
- Real time applications Vs Real time services
- Understanding python memory mapping
- Color coding schemes of python
- Different flavors of python
- a) JPython
- b) Cpython
- c) APython
- d) IPython
- e) RPython
- f) WxPython
- g) PyPI
- Zen of Python
- Working with IDE and IDLE
- Diffrent types of Python enabled frameworks
Chapter2: Language Constructs Of python
3
- Different collections of language components
- Understanding Identifiers and its type
- a) Private identifier
- b) Strong private identifier
- c) Magical methods
- d) Use of id() function
- Understanding Literals and use of type() function
- Using Keywords to invoke reserved action from PHT memory
- Using Operators to perform calculations on data
- a) Arithmetic operators
- b) Logical operators
- c) Relational operators
- d) Assignment operators
- e) Membership operators
- f) Identity operators
- Use of Comments and Quotations
- a) Single line comments
- b) Multi line comments
- c) Documentation strings
Chapter3: String Handling Management
4
- How to achieve documentation string anonymously
- Use of __doc__method
- Assigning values to variables
- a) Multi value assignment
- b) Multiple assignment
- Default methods used in string handling
- a) String formatting
- b) General formatting
- c) Manual formatting
- d) Automated formatting
- e) String concatenation
- f) String repetition
- Default operations on string
- a) Indexing
- b) Slicing
- c) Ranging
- d) reversing
- Built in function support for string
- a) Capitalizing a string
- b) Sorting string values
- c) Checking for alphanumeric values
- d) Applying coding and decoding algorithms
- e) Joining and partitioning strings
Chapter4: Python Native Datatypes
5
- Understanding LIST and LIST Comprehensions
- a) How to represent data items logically?
- b) How to iterate over list items?
- c) How list supports insertion preservation order?
- d) How to append new data in existing list?
- e) How to extend old list?
- f) How to copy elements and creating duplicate list?
- g) How to delete an item?
- h) Difference between pop and remove method?
- Working with TUPLE
- a) How to search index of an item?
- b) What is mutable and immutable property?
- c) How to add new element in tuple?
- d) Why tuple allow duplicate values?
- e) How tuple supports heterogeneous objects?
- Working with SET
- a) Why set not supports duplicate values?
- b) How to apply set theory concepts in SET?
- c) How set applies naming convention rules?
- Working with DICTIONARY
- a) Why dictionary is unindexed?
- b) How to view keys alone?
- c) How to view values alone?
- d) How to view items as set
- e) How to view items as list
- f) How dictionary supports iteration
Chapter5: FCS In DMS and LPS
6
- What is flow control statements and why it’s used?
- Use of Break statement
- Use of Continue statement
- Use of Pass statement
- How to use FCS in Decision making statements
- Types of decision making statements
- a) Simple if statement
- b) If…else statement
- c) If…elif…else statement
- How to use FCS in looping statements
- a) Understanding For loop statement
- b) Understanding While loop statement
- c) How to iterate over loop
- How pattern programs of python used in MVC
Chapter6: Functional Programming Methodologies
7
- How functions used in python?
- Types of functions available in python
- a) Built in functions
- b) User defined functions
- c) Math functions
- d) Lambda functions
- What is meant by method?
- What is parameter and argument?
- How to pass argument from run time?
- How to create user defined function explicitly ?
- How to create anonymous functions?
- How to use map(),filter(),reduce() in lambda functions?
Chapter7: OOP Paradigm in Python
8
- How python supports oops concepts?
- What are all the properties of OOPS?
- How to achieve the following:
- a) Data abstraction
- b) Data encapsulation
- c) Polymorphism
- d) Inheritance and its types
- How constructor works in python?
- Use of __init__ constructor
- Use of Self keyword
- How to migrate functions to classes?
- How data model of OOP works in python platform?
Chapter8: Exception Handling Mechanism
9
- How to identify misbehaved part of a program?
- Types of built in exception
- Components of exception handler
- Use of try block
- Use of catch block
- Use of except block
- Use of finally block
- How to create user defined exception?
- How to raise an user defined exception?
- How to achieve assertion?
- Use of OOP paradigm in exception?
- Use of __builtin__ module
Chapter9: Modules Of Python Site Package
10
- How to use internal modules of python?
- Types of python modules and its frequently used functions
- a) Os module
- b) Sys module
- c) Math module
- d) Time module
- e) Datetime module
- f) Calendar module
- How to migrate python programs as module?
- How to achieve memory optimization using PYTHONPATH & SYSPATH?
- Types of importing modules in python platform
Chapter10: Form Validation Using Regular Expression
11
- What is Regular expression?
- Creating pattern using RE module?
- Stages of regex
- How pattern matching done in python?
- How python interpreter supports find and replace activity?
- What is pattern transformation?
- What is pattern transition?
- What is meta character in regex?
- How to use meta character set in regex?
- Difference between meta tag and character
- What is raw string?
- Understanding the following with experimentation
- a) Re.match()
- b) Re.search()
- c) Re.compile()
- d) Re.findall()
- e) Re.split()
- f) Re.sub()
- How regex supports python flags?
- How to validate form input credentials using regex functions
Chapter11: Multi Threading Programming
12
- What is multi programming?
- What is process?
- How to give priorities to thread?
- Understanding the components of TCB
- Use of thread identifier
- Use of process identifier
- Use of thread register set
- Use of thread program counter
- Use of heap memory in thread
- Use of single processor in threading with implementation
- Multithreading vs multiprocessing
- Use of thread module and threading module
- How to use instruction pointer inside threading?
- What is parent process control?
- Execution methods for Multithreading
- How to seek pointer?
- How multi threading supported by regex and oop?
Chapter12: File Handling i/o Management
13
- What is a file in python?
- How to create a file using access mode?
- Types of accessing modes in i/o management
- a) Append
- b) Read
- c) Write
- d) Read binary
- e) Write binary
- f) Append+
- g) Read+
- h) Write+
- i) Text
- Why file object is mandatory in file handling?
- How to analyze the data with in a file?
- How to perform manipulation over the given file?
- How to install pandas module to perform data analytical functions?
- Using reader and writer methods of pandas
- Storing data in CSV file format [ Mini project 2 ]
- Understanding the following methods
- a) Read()
- b) Readline()
- c) Readlines()
- d) Write()
- e) Writelines()
- How to get content from cloud to process it with panda and store it in a .CSV file
Chapter13: Graphical User Interface Using Tkinter
14
- What is an user interface?
- Creating basic interface window creation
- What is main process toolkit and sub process toolkit?
- How to give title to basic window interface?
- Triggering user input action in a Tk GUI
- Working with geometry manager
- Understanding the importance of context managers
- Types of context managers in tkinter
- a) Place manager
- b) Grid manager
- c) Pack manager
- Difference between Tkinter and tkinter
- Use of cell padding and cell spacing
- What is pad-x and pad-y in tk
- Properties of tkinter module
- a) Label widget
- b) Button widget
- c) Entry widget
- d) Checkbutton widget
- e) Radiobutton widget
- f) Combobox widget
- g) Scrolled text widget
- h) Message widget
- i) Spinbox widget
- j) Progressbar widget
- k) Menu bar widget
- l) Frame widget
- m) Photo image widget
- What is a relief attribute?
- Listing the types of relief attributes
- Main project – implementation
Chapter14: Database Connectivity (Python With Mysql)
15
- Understanding backend process with RDBMS concepts
- Advantage of open source RDBMS
- List of frequently used database servers
- a) Mysql
- b) Ms sql server
- c) Maria db
- d) Oracle
- e) Postgre sql
- f) Sybase
- List frequently encountered database API drivers
- a) Sqlite3
- b) Mysql_connector
- c) Mysqldb
- d) PyMySQL
- List of web platform frameworks available to DBC
- a) WAMP server
- b) LAMP server
- c) XAMPP server
- Connection procedure for python mysql bonding
- Working with mysql queries in WAMP server
- Working with mysql queries from python platform
- Implementation of mini project 1 & 2 with back end process
Chapter15: Common Gateway Interface
16
- What is gateway interface?
- What is URL & URI?
- How URL mapper works?
- How to deal with internal dispatcher of cgi script?
- What Client side scripting(CS2)?
- Working with Server side scripting(S3)
- How wamp server act as web client?
- How IIS supports CGI traceback information?
- What is shebang line and how to use it with cgi and cgitb module
- What is content type header?
- What is MIME header and how it works with web page contents?
- What is cookies?
- How to configure cgi scripts in WAMP server
- How to add cgi handler for CGI scripts
- Executing scripts with wamp server in localhost
- How to inspect elements of a formatted web page?
Chapter16: Application Programming Interface(Django REST API)
17
- What is programming interface?
- How API connects all software components with it self?
- What is Django?
- What is Django REST framework?
- Properties of Django framework
- How to get JSON formatted data?
- What is Object relational mapping?
- Available writing methods of Django REST API
- How to configure django and django rest framework in PYCHARM IDE?
- Setting project interpreter in pycharm
- Adding plugins with django application
- How to create project and start an application?
- Making migration to created data model
- How to create super user to run the django application?
- How to run django application server
- Adding components to REST API
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