To begin with, Python provides great readability and it comes with a clear and readable syntax. In addition, Python is easy to read and understand which makes it relatively easier for beginners to pick up the language. Along with it, this language provides great versatility and is not limited to one type of task. This is an ideal language for web development, automating tasks, or diving into data science. Furthermore, Python provides great standard library support and comes with pre-written code for various tasks. Python Course in Delhi provides platform independence and allows users to write their code once and run it on any operating system. Moreover, it is a highly popular interpreted language and its source code is executed line by line. Above all, it is a dynamically typed language that ensures that you don’t have to declare the data type of a variable when you create it. Python has a variety of applications and some important ones are given below.
- Data science- It is highly useful for Data Analysis and visualization due to its libraries like Pandas, NumPy, and Matplotlib.
- Web development- Python also facilitates various frameworks such as Django and Flask which are useful for web development.
- Software development- This language can also be used for tasks such as scripting, automation, and testing.
- Game development- Its libraries such as PyGame and Tkinter can also be useful for game development.
- Machine learning & AI-Python libraries such as TensorFlow, PyTorch, and Scikit-learn are ideal choices for machine learning.
What Will I Learn in the Python Course?
The Python Certification Course will prepare you from scratch level and will go to the advanced levels. In addition, it teaches you advanced concepts of Python programming and provides you with in-depth knowledge in data analytics data visualization, and web scraping. Above all, you will be able to learn the concepts such as data types, tuples, lists, dicts, basic operators, and functions. Given below are the important concepts you will learn after enrolling in the Python course.
Introduction to Python
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
Python Keyword and Identifiers
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
Introduction to Variables
- Variables, expression condition and function
- Global and Local Variables in Python
- Packing and Unpacking Arguments
- Type Casting in Python
- Byte objects vs. string in Python
- Variable Scope
Python Data Type:
- Declaring and using Numeric data types
- Using string data type and string operations
- Understanding non-numeric data types
- Understanding the concept of Casting and Boolean.
- Strings
- List
- Tuples
- Dictionary
- Sets
Control Structure & Flow
- Statements – if, else, Elif
- How to use nested IF and Else in Python
- Loops
- Loops and Control Statements.
- Jumping Statements – Break, Continue, pass
- Looping techniques in Python
- How to use the Range function in Loop?
- Programs for printing Patterns in Python
- How to use if and else with Loop
- Use of Switch Function in Loop
- Elegant way of Python Iteration
- Generator in Python
- How to use nested Loop in Python
- Use If and Else in for and While Loop
- Examples of Looping with Break and Continue Statement
- How to use the IN or NOT IN keyword in Python Loop.
Python Functions, Modules and Packages
- Python Syntax
- Function Call
- Return Statement
- Arguments in a function – Required, Default, Positional, Variable-length
- Write an Empty Function in Python –pass statement.
- Lamda/ Anonymous Function
- *args and **kwargs
- Help functions in Python
- Scope and Life Time of Variable in Python Function
- Nested Loop in Python Function
- Recursive Function and Its Advantages and Disadvantages
- Organizing python codes using functions
- Organizing python projects into modules
- Importing own module as well as external modules
- Understanding Packages
- Random functions in Python
- Programming using functions, modules & external packages
- Map, Filter and Reduce function with Lambda Function
- More examples of Python Function
Python Date Time and Calendar
- Day, Month, Year, Today, Weekday
- IsoWeek day
- Date Time
- Time, Hour, Minute, Sec, Microsec
- Time Delta and UTC
- StrfTime, Now
- Time stamp and Date Format
- Month Calendar
- Itermonthdates
- Lots of Examples on the Python Calendar
- Create 12-month Calendar
- strftime
- Strptime
- Format Code list of Data, Time and Cal
- Locale’s appropriate date and time
List
- What Is a List?
- List Creation
- List Length
- List Append
- List Insert
- List Remove
- List Append & Extend using “+” and Keyword
- List Delete
- List related Keywords in Python
- List Revers
- List Sorting
- List having Multiple Reference
- String Split to create a List
- List Indexing
- List Slicing
- List count and Looping
- List Comprehension and Nested Comprehension
Tuple
- What is Tuple
- Tuple Creation Accessing Elements in Tuple
- Changing a Tuple
- Tuple Deletion
- Tuple Count
- Tuple Index
- Tuple Membership
- TupleBuilt in Function (Length, Sort)
Dictionary
- Dict Creation
- Dict Access (Accessing Dict Values)
- Dict Get Method
- Dict Add or Modify Elements
- Dict Copy
- Dict From Keys.
- Dict Items
- Dict Keys (Updating, Removing and Iterating)
- Dict Values
- Dict Comprehension
- Default Dictionaries
- Ordered Dictionaries
- Looping Dictionaries
- Dict useful methods (Pop, Pop Item, Str, Update etc.)
Sets
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Frozen Sets
Strings
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- Python Set Operations
Python Exception Handling
- Python Errors and Built-in-Exceptions
- Exception handing Try, Except and Finally
- Catching Exceptions in Python
- Catching Specific Exception in Python
- Raising Exception
Python File Handling
- Opening a File
- Python File Modes
- Closing File
- Writing to a File
- Reading from a File
- Renaming and Deleting Files in Python
- Python Directory and File Management
- List Directories and Files
- Making a New Directory
- Changing Directory
Python Database Interaction
- SQL Database connection using
- Creating and searching tables
- Reading and Storing config information on the database
- Programming using database connections
Contacting users Through Emails Using Python
- Installing SMTP Python Module
- Sending Email
- Reading from files and sending emails to all users
Reading an excel
- Working With Excel
- Reading an Excel file using Python
- Writing an excel sheet using Python
- Python| Reading an Excel file
- Python | Writing an Excel file
- Adjusting Rows and Column using Python
- Arithmetic Operation in Excel file.
- Play with Workbook, Sheets and Cells in Excel using Python
- Creating and Removing Sheets
- Formatting the Excel File Data
- More examples of Python Function
Complete Understanding of OS Module of Python
- Check Dirs. (exist or not)
- How to split path and extension?
- How to get user profile details?
- Get the path of the Desktop, Documents, Downloads etc.
- Handle the File System Organization using OS
- How get any files and folder details using OS?
Conclusion
Python provides great readability and it comes with a clear and readable syntax. Furthermore, Python is easy to read and understand which makes it relatively easier for beginners to pick up the language. Along with it, this language provides great versatility and is not limited to one type of task. This is an ideal language for web development, automating tasks, or diving into data science. Along with this, Python provides great standard library support and comes with pre-written code for various tasks. Above all, it is a dynamically typed language that ensures that you don’t have to declare the data type of a variable when you create it. In conclusion, the Python Certification course will prepare you from scratch level and will go to the advanced levels.