Python Web Development Course Syllabus

Introduction

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By utilizing our Python web development course syllabus to the fullest, you can learn how to write code with python and how to build web applications with the Django framework. Our Python web development course syllabus will also teach you how to implement machine learning algorithms inside your projects.

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Python Web Development Course Syllabus

Important topics

• Base Python
• Programming Python
• Intermediate Python
• Modular Python
• Analytical Python
• Advanced Python
• Application Programming In Python

Chapter1: Informal Introduction to Python

• 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

• Different collections of language components
• Understanding Identifiers and its type

•         Private identifier
•         Strong private identifier
•         Magical methods
•         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

•         Arithmetic operators
•         Logical operators
•         Relational operators
•         Assignment operators
•         Membership operators
•         Identity operators
•         Use of Comments and Quotations
•         Single line comments
•         Multi line comments
•         Documentation strings

Chapter3: String Handling Management

1. How to achieve documentation string anonymously
2. Use of _doc method
3. Assigning values to variables
4. a) Multi value assignment
5. b) Multiple assignment
6. Default methods used in string handling
7. a) String formatting
8. b) General formatting
9. c) Manual formatting
10. d) Automated formatting
11. e) String concatenation
12. f) String repetition
13. Default operations on string
14. a) Indexing
15. b) Slicing
16. c) Ranging
17. d) reversing
18. Built in function support for string
19. a) Capitalizing a string
20. b) Sorting string values
21. c) Checking for alphanumeric values
22. d) Applying coding and decoding algorithms
23. e) Joining and partitioning strings

Chapter4: Python Native Datatypes

1. Understanding LIST and LIST Comprehensions
2. a) How to represent data items logically?
3. b) How to iterate over list items?
4. c) How list supports insertion preservation order?
5. d) How to append new data in existing list?
6. e) How to extend old list?
7. f) How to copy elements and creating duplicate list?
8. g) How to delete an item?
9. h) Difference between pop and remove method?
10. Working with TUPLE
11. a) How to search index of an item?
12. b) What is mutable and immutable property?
13. c) How to add new element in tuple?
14. d) Why tuple allow duplicate values?
15. e) How tuple supports heterogeneous objects?
16. Working with SET
17. a) Why set not supports duplicate values?
18. b) How to apply set theory concepts in SET?
19. c) How set applies naming convention rules?
20. Working with DICTIONARY
21. a) Why dictionary is unindexed?
22. b) How to view keys alone?
23. c) How to view values alone?
24. d) How to view items as set
25. e) How to view items as list
26. f) How dictionary supports iteration

Chapter5: FCS In DMS and LPS

1. What is flow control statements and why it’s used?
2. Use of Break statement
3. Use of Continue statement
4. Use of Pass statement
5. How to use FCS in Decision making statements
6. Types of decision making statements
7. a) Simple if statement
8. b) If…else statement
9. c) If…elif…else statement
10. How to use FCS in looping statements
11. a) Understanding For loop statement
12. b) Understanding While loop statement
13. c) How to iterate over loop
14. How pattern programs of python used in MVC

Chapter6: Functional Programming Methodologies

1. How functions used in python?
2. Types of functions available in python
3. a) Built in functions
4. b) User defined functions
5. c) Math functions
6. d) Lambda functions
7. What is meant by method?
8. What is parameter and argument?
9. How to pass argument from run time?
10. How to create user defined function explicitly ?
11. How to create anonymous functions?
12. How to use map(),filter(),reduce() in lambda functions?

Chapter7: OOP Paradigm in Python

1. How python supports oops concepts?
2. What are all the properties of OOPS?
3. How to achieve the following:
4. a) Data abstraction
5. b) Data encapsulation
6. c) Polymorphism
7. d) Inheritance and its types
8. How constructor works in python?
9. Use of __init__ constructor
10. Use of Self keyword
11. How to migrate functions to classes?
12. How data model of OOP works in python platform?

Mini project – 1 – creation

Chapter8: Exception Handling Mechanism

1. How to identify misbehaved part of a program?
2. Types of built in exception
3. Components of exception handler
4. Use of try block
5. Use of catch block
6. Use of except block
7. Use of finally block
8. How to create user defined exception?
9. How to raise an user defined exception?
10. How to achieve assertion?
11. Use of OOP paradigm in exception?
12. Use of __builtin__ module

Chapter9: Modules Of Python Site Package

1. How to use internal modules of python?
2. Types of python modules and its frequently used functions
3. a) Os module
4. b) Sys module
5. c) Math module
6. d) Time module
7. e) Datetime module
8. f) Calendar module
9. How to migrate python programs as module?
10. How to achieve memory optimization using PYTHONPATH & SYSPATH?
11. Types of importing modules in python platform

Chapter10: Form Validation Using Regular Expression

1. What is Regular expression?
2. Creating pattern using RE module?
3. Stages of regex
4. How pattern matching done in python?
5. How python interpreter supports find and replace activity?
6. What is pattern transformation?
7. What is pattern transition?
8. What is meta character in regex?
9. How to use meta character set in regex?
10. Difference between meta tag and character
11. What is raw string?
12. Understanding the following with experimentation
13. a) Re.match()
14. b) Re.search()
15. c) Re.compile()
16. d) Re.findall()
17. e) Re.split()
18. f) Re.sub()
19. How regex supports python flags?
20. How to validate form input credentials using regex functions

Chapter11: Multi-Threading Programming

1. What is multi programming?
2. What is process?
3. How to give priorities to thread?
4. Understanding the components of TCB
5. Use of thread identifier
6. Use of process identifier
7. Use of thread register set
8. Use of thread program counter
9. Use of heap memory in thread
10. Use of single processor in threading with implementation
11. Multithreading vs multiprocessing
12. Use of thread module and threading module
13. How to use instruction pointer inside threading?
14. What is parent process control?
15. Execution methods for Multithreading
16. How to seek pointer?
17. How multi threading supported by regex and oop?

Chapter12: File Handling i/o Management

1. What is a file in python?
2. How to create a file using access mode?
3. Types of accessing modes in i/o management
4. a) Append
5. b) Read
6. c) Write
7. d) Read binary
8. e) Write binary
9. f) Append+
10. g) Read+
11. h) Write+
12. i) Text
13. Why file object is mandatory in file handling?
14. How to analyze the data with in a file?
15. How to perform manipulation over the given file?
16. How to install pandas module to perform data analytical functions?
17. Using reader and writer methods of pandas
18. Storing data in CSV file format [ Mini project 2 ]
19. Understanding the following methods
20. a) Read()
21. b) Readline()
22. c) Readlines()
23. d) Write()
24. e) Writelines()
25. How to get content from cloud to process it with panda and store it in a .CSV file

Chapter13: Graphical User Interface Using Tkinter

1. What is a user interface?
2. Creating basic interface window creation
3. What is main process toolkit and sub process toolkit?
4. How to give title to basic window interface?
5. Triggering user input action in a Tk GUI
6. Working with geometry manager
7. Understanding the importance of context managers
8. Types of context managers in tkinter
9. a) Place manager
10. b) Grid manager
11. c) Pack manager
12. Difference between Tkinter and tkinter
13. Use of cell padding and cell spacing
14. What is pad-x and pad-y in tk
15. Properties of tkinter module
16. a) Label widget
17. b) Button widget
18. c) Entry widget
19. d) Checkbutton widget
20. e) Radiobutton widget
21. f) Combobox widget
22. g) Scrolled text widget
23. h) Message widget
24. i) Spinbox widget
25. j) Progressbar widget
26. k) Menu bar widget
27. l) Frame widget
28. m) Photo image widget
29. What is a relief attribute?
30. Listing the types of relief attributes
31. Main project – implementation

Chapter14: Database Connectivity (Python With Mysql)

1. Understanding backend process with RDBMS concepts
2. Advantage of open source RDBMS
3. List of frequently used database servers
4. a) Mysql
5. b) Ms sql server
6. c) Maria db
7. d) Oracle
8. e) Postgre sql
9. f) Sybase
10. List frequently encountered database API drivers
11. a) Sqlite3
12. b) Mysql_connector
13. c) Mysqldb
14. d) PyMySQL
15. List of web platform frameworks available to DBC
16. a) WAMP server
17. b) LAMP server
18. c) XAMPP server
19. Connection procedure for python mysql bonding
20. Working with mysql queries in WAMP server
21. Working with mysql queries from python platform
22. Implementation of mini project 1 & 2 with back end process

Chapter15: Common Gateway Interface

1. What is gateway interface?
2. What is URL & URI?
3. How URL mapper works?
4. How to deal with internal dispatcher of cgi script?
5. What Client side scripting(CS2)?
6. Working with Server side scripting(S3)
7. How wamp server act as web client?
8. How IIS supports CGI traceback information?
9. What is shebang line and how to use it with cgi and cgitb module
10. What is content type header?
11. What is MIME header and how it works with web page contents?
12. What is cookies?
13. How to configure cgi scripts in WAMP server
14. How to add cgi handler for CGI scripts
15. Executing scripts with wamp server in localhost
16. How to inspect elements of a formatted web page?

Chapter16: Application Programming Interface(Django REST API)

1. What is programming interface?
2. How API connects all software components with it self?
3. What is Django?
4. What is Django REST framework?
5. Properties of Django framework
6. How to get JSON formatted data?
7. What is Object relational mapping?
8. Available writing methods of Django REST API
9. How to configure django and django rest framework in PYCHARM IDE?
10. Setting project interpreter in pycharm
11. Adding plugins with django application
12. How to create project and start an application?
13. Making migration to created data model
14. How to create super user to run the django application?
15. How to run django application server
16. Adding components to REST API

Conclusion

By learning our python web development course syllabus, you can gain more knowledge and stay ahead of others in this ever-evolving industry. Our meticulously crafted Python web development course syllabus would equip you with the skills and knowledge necessary to flourish in the digital world.

With our Python web development course syllabus, you become better equipped to contribute to cutting-edge projects and drive technological developments. With our Python web development course syllabus, you will have the knowledge and power to make a positive difference in the world.

Enrolling in our python web development training in Chennai would equip you with the highly sought-after skills and open doors to a world of job opportunities. Catch our training programs and webinars live through https://www.facebook.com/ficusofttechnologies/.