Python Programming Training in Nepal
Welcome to the most efficient and trusted and work-friendly Python Programming Training in Nepal developed by TechAxis Nepal. This training is running in our consultancy since when the institute is established. We have the most experienced teacher having teaching as well as work experience for more than half of the decade. Python Training in Nepal will enable you to take a new step toward your programming career and enhance your programming ideas and techniques.
Python Programming is a general-purpose object-oriented programming language. It is an interactive, high-level programming language created by Guido van Rossum in the late eighties and early nineties. Python source code is available under the GNU general public license just like Perl.
We have designed the best python course in Nepal in a way that people with ZERO programming knowledge can learn this course easily. This python course for beginners is designed for programming students willing to make their future in Python programming in Nepal. We will teach to make advanced python programming starting from the very beginning i.e. scratch. Our Python Training in Nepal will give you enough ideas and knowledge on python programming from where you can take yourself to a whole new level of programming expertise.
The best python trainer in Kathmandu will take your class here at TechAxis. who will be given you the necessary lecture and videos at the beginning of the class and followed by the practical section
Courses Outline: – Python & Django Training in Nepal
Basic syntax Python
- History
- Features
- Environment setup
- Setting up path
- Working with Python
- Basic Syntax
- Variable and Data Types
- Operator
Variables, expressions, and statements
- Values and types
- Variables
- Variable names and keywords
- Operators and operands
- Expressions and statements
- Interactive mode and script mode
- Order of operations
- String operations
- Comments
- Debugging
Functions
- Function calls
- Type conversion functions
- Math functions
- Composition
- Adding new functions
- Definitions and uses
- Flow of execution
- Parameters and arguments
- Variables and parameters are local
- Stack diagrams
- Fruitful functions and void functions
- Why functions?
- Importing with from
- Debugging
Conditionals and recursion
- Modulus operator
- Boolean expressions
- Logical operators
- Conditional execution
- Alternative execution
- Chained conditionals
- Nested conditionals
- Recursion
- Stack diagrams for recursive functions
- Infinite recursion
- Keyboard input
- Debugging
Fruitful functions
- Return values
- Incremental development
- Composition
- Boolean functions
- More recursion
- Leap of faith
- One more example
- Checking types
- Debugging
Iteration
- Multiple assignments
- Updating variables
- The while statement
- Break
- Square roots
- Algorithms
- Debugging
Strings
- A string is a sequence
- Len
- Traversal with a for loop
- String slices
- Strings are immutable
- Searching
- Looping and counting
- String methods
- The in operator
- String comparison
- Debugging
Lists
- A list is a sequence
- Lists are mutable
- Traversing a list
- List operations
- List slices
- List methods
- Map, filter and reduce
- Deleting elements
- Lists and strings
- Objects and values
- Aliasing
- List arguments
- Debugging
Dictionaries
- Dictionary as a set of counters
- Looping and dictionaries
- Reverse Lookup
- Dictionaries and lists
- Memos
- Global variables
- Long integers
- Debugging
Tuples
- Tuples are immutable
- Tuple assignment
- Tuples as return values
- Variable-length argument tuples
- Lists and tuples
- Dictionaries and tuples
- Comparing tuples
- Sequences of sequences
- Debugging
Files
- Persistence
- Reading and writing
- Format operator
- Filenames and paths
- Catching exceptions
- Databases
- Pickling
- Pipes
- Writing modules
- Debugging
Classes and objects
- User-defined types
- Attributes
- Rectangles
- Instances as return values
- Objects are mutable
- Copying
- Debugging
Classes and methods
- Object-oriented features
- Printing objects
- Another example
- A more complicated example
- The init method
- The __str__ method
- Operator overloading
- Type-based dispatch
- Polymorphism
- Debugging
Inheritance
- Card objects
- Class attributes
- Comparing cards
- Decks
- Printing the deck
- Add, remove, shuffle and sort
- Inheritance
- Class diagrams
- Debugging
- Data encapsulation
- Advanced Strings, Date & Time
- Python os, re, sys
- GUI Basics: Tkinter, Tcl/Tk
- Comprehensions: List, Dictionary
- CSV, JSON, XML, SQLite with Python
- Data Science/Visualization: pandas, matplotlib
- Jupyter NoteBook
Courses Outline- Django Training
Brief Introduction to Python and Django basics
- Testing Setup
- Creating Django Project
- Creating a Django Application
- Creating a View
- Mapping URLs
- Basic Workflows
Templates and Static Media
- Using Templates
- Configuring the Templates Directory
- Dynamic Paths
- Serving Static Media
- Configuring the Static Media Directory
- Static Media Files and Templates
- The Static Media Server
Models and Databases
- Telling Django About Database
- Creating Models
- Creating and Synchronizing the Database
- Generated SQL
- Django Models and the Django Shell
- Configuring the Admin Interface
- Creating a Population Script
Models, Templates, and Views (Python Programming Training in Nepal)
- Basic Workflow: Data-Driven Pages
- Importing Required Models
- Modifying the Index View
- Modifying the Index Template
- Creating a Details Page
- URL Design and Mapping
- Category Page Workflow
- Category View Category Template
- Parameterized URL Mapping
- Modifying the Index View and Template
- Working with Forms
- User Authentication
- Setting up Authentication
- The User Model
- Additional User Attributes
- Creating a User Registration View and Template
- AJAX, Django, and Jquery
Project Work
- Project Work on Advanced Python Concepts or Django
- Project Evaluation and Feedback.
- Deploying Project
learn about Python Career and Scope In Nepal
Python is a popular simulated, high-level programming language. It was originally designed by Guido van Rossum in 1991 and developed by Python Software Foundation. It was mainly designed for emphasis on code readability, and its syntax allows programmers to express concepts in fewer lines of code.
Python is consistently ranked as one of the easiest programming languages to learn, and is known for its high reliability and simple syntax, which makes easy to learn for new coders particularly.
Python was designed to be simple to understand and fun to use. Fun is a terrific motivator, and since you'll have the ability to build prototypes and tools quickly with Python, many find coding in Python a satisfying experience. Thus, Python has gained fame for being a beginner- friendly language. Being a very high-level speech, Python reads like English, which requires a whole lot of syntax-learning stress off coding beginners.
Hence, you can use the programming language for creating both desktop and web applications. Python Language is designed with features to facilitate data analysis and visualization. You can take advantage of the data analysis features of Python to create custom big data solutions without putting additional time and effort. At exactly the exact same time, the information visualization libraries and APIs provided by Python enable you to visualize and present data in a more attractive and powerful way. Many Python developers use Python programming to accomplish artificial intelligence (AI) and natural language processing tasks.
Career In Python
As a fresher, you might apply for jobs like software engineer, front-end software/web programmer, Python programmer or programmer, and DevOps engineer.
Python Developer: The vast majority work of a python programmer deals with integrating various systems into a unified and compatible format or platform. This includes configuring servers and databases, including data storage, secure and protect the database, and handle all the different elements of a software.
Software Developer: With their multi-face nature, python jobs as software developers deal mainly in planning, strategizing, and managing the software development alongside the coding and configuring part. Python developers are especially included in software projects since integrating the different elements of a project are simple with python and, once installed, the maintenance is majorly handled via python
DevOps Engineer: DevOps Engineers are specialized python tasks that deal exclusively in networks and servers and their maintenance. They configure, maintain, and operate networks and servers. They also construct the storage and database architecture and are responsible for a secure, protected, optimized, and easily running networked system.
Data Scientist: The achievement one can have as a python developer is to become a data scientist. While not one of the python tasks directly, using this language is extensive and its versatility can cover most of the data science works.
learn more about Python Career and Scope In Nepal