Python Course : Energize Coding Skills Today!
Our Python Course is designed to take you from a beginner to an advanced level, equipping you with the skills to tackle real-world projects. Python is a versatile and powerful programming language known for its simplicity and readability. This technology is commonly applied in many fields, such as web development, data analysis, artificial intelligence, and scientific computing.
- Gopi Ram
- Sep 24, 2023
COURSE OVERVIEW
Introduction to Python:
Learn the fundamentals of Python, covering topics such as syntax, data types, and control structures.
Data Structures:
Understand and use lists, tuples, sets, and dictionaries.
Functions and Modules:
You should focus on writing reusable code through functions and organizing your work with modules and packages.
Object-Oriented Programming:
Learn about classes, objects, inheritance, and polymorphism.
File Handling:
You’ll need to learn how to read from and write to files for effective data management.
Libraries and Frameworks:
Get introduced to popular Python libraries and frameworks like NumPy, Pandas, and Django.
Web Development:
Build web applications using Flask and Django.
Data Analysis:
Utilize libraries such as Pandas and Matplotlib for data manipulation and visualization.
Project Work:
Apply your knowledge in real-world projects to solidify your learning.
These are just some of the topics that might be covered in Python course. The actual content may differ based on the specific curriculum provided by the training organization.
CURRICULUM
- What is Python ?
- What are the popular programming languages
- Why choose python over otyer programming languages
- How is python perfect for Data Analytics
- Job oppurtunities after completion of the python course
- Different types of IDEs useds for python programming
- Python installation
- The print statement
- Comments
- Keywords
- Operators
- Variables
- Data Types
- Sequences,mutable and immutable objects
- Type casting
- String Operations
- Indexing and Slicing
- Simple programs with user input
- Indentation
- Simple if statement
- if else statement
- Elif statement
- Nested if condition
- One line if conditions or short hand if conditions
- The while loop
- The for loop
- The Range statement
- Loops on sequences
- Break and Continue
- Nested for loops
- Programming examples on loops
- List
- Tuple
- Set
- Dictionary
- Nested collections
- Comprehension programming on
- Built in functions
- User defined functiuons
- Function with no arguments and no return value
- Function with arguments but no return value
- Function with arguments and return value
- Types of arguments
- Local and global variables
- Recursive functions
- Lambda function
- Mapping ,filter and reduce
- Built in modules tvt
- User defined modules
- Types of Errors
- Exception handling
- Try,except ,finally
- Raise
- Findall
- Search
- Split
- Sub
- Regex Functions with meta characters
- Open(), read(), write(l, close()
- Export data to text files
Basic concepts of OOP
Difference between general programming and OOP
Classes and Objects
init() method
Sell parameter
Single inheritance
Multilevel inheritance
Multiple inheritance
Hierarchical inheritance
Polymorphism
- Data structures in Pandas: Series and DataFrames
- Import and Export data
- Working with Excel, CSV, Json, Delimited data files
- Sorting data (Ascending/Descending)
- Loc[] and iloc[]
- Search and Filter data
- Value Counts
- Grouping data
- Pivot tables
- Merging data
- Concatenation of data
- Data cleaning
- Remove null values
- Fill null values with mean(),median() and mode ()
- Identify duplicate records
- Remove duplicate records
- MatplotlibPyplot
- Matplotlib Plotting
- Matplotlib Markers
- Matplotlib Line
- Matplotlib Labels
- Matplotlib Grid
- Matplotlib Subplot
- Matplotlib Scatter
- Matplotlib Bars
- Matplotlib Histograms
- Matplotlib Pie charts
- Creating Arrays
- Array indexing
- Array slicing
- 1D Arrays
- 2D Arrays
- Array join
- Array Search
- Array filter
- Table creation in Oracle
- Oracle database connection in Python
- Collections and documents in MaongoDB
- MongoDB database connection in Python
- Creation of Database and Tables in My SQL
- MYSQL database connection with Python
- Near real time examples with DB Connection
Requirements:
Basic Computer Skills: Familiarity with using a computer and navigating software application
Access to Python: Students should have Python installed on their computer.
Internet Connection: For accessing online resources and course materials.
Course Description:
At Excel Logics, we offer a comprehensive Python Programming Course tailored for beginners to advanced learners. Python’s simplicity and readability make it an ideal choice for those new to programming, while its powerful libraries and frameworks cater to experienced developers. Throughout this course, you will learn everything from basic syntax to advanced concepts, enabling you to build web applications, analyze data, and even dive into machine learning. Our hands-on approach ensures that you can apply what you learn through real-world projects, solidifying your understanding and preparing you for a career in programming.
Course Price: 6000.00
- Instructor : Gopi Ram
- Enrolled : 10000+ students
- Language :English
- Access on mobile & TV
- Certificate of Complition
Elevate Your PowerPoint skills
Master Python Course Today
MASTERING DATA ANALYSIS IN EXCEL
LEARN SOMETHING NEW, AND GROW YOUR SKILLS
Unlock the power of Python to enhance your programming skills and tackle real-world projects. Master advanced techniques and libraries to open new doors in your career and personal development.
FREQUENTLY ASKED QUESTIONS
Python programming is the practice of writing code using the Python language, known for its simplicity and readability. It’s a versatile language used in web development, data analysis, artificial intelligence, automation, and more.
Taking a Python course can boost your career by providing essential programming skills, making you more competitive in the job market. It’s ideal for both beginners and experienced programmers looking to enhance their abilities and work on diverse projects.
No prior Python experience is required to enroll in a Python programming course. These courses are designed to take you from a beginner level to advanced, covering all the necessary fundamentals and progressively building up your skills.
Here are the topics typically covered in a Python course:
Introduction to Python: Basics of Python, including syntax and data types.
Control Structures: Conditional statements, loops, and control flow.
Data Structures: Lists, tuples, sets, and dictionaries.
Functions and Modules: Writing functions, using built-in functions, and importing modules.
Object-Oriented Programming: Classes, objects, inheritance, and polymorphism.
- File Handling: Reading from and writing to files.
- Error Handling: Managing exceptions and ensuring smooth code execution.
Libraries and Frameworks: Introduction to libraries like NumPy, Pandas, and frameworks such as Flask and Django.
Data Analysis and Visualization: Using Pandas, Matplotlib, and other tools for data manipulation and visualization.
Web Development: Building web applications with Flask and Django.
Machine Learning Basics: Introduction to machine learning with libraries like Scikit-Learn.
Project Work: Practical projects to apply what you’ve learned and solidify your knowledge.
A Python course enhances your career by providing in-demand skills for various industries, increasing job opportunities, and potential for advancement. For businesses, it streamlines operations, enhances data analysis, and drives innovation through automation and machine learning.
Absolutely! The skills you gain from a Python course are highly versatile and can be applied to both personal and business projects. Whether you want to automate tasks, analyze data, build web applications, or dive into machine learning, what you learn will be valuable across various contexts and applications.
Absolutely! A Python course is suitable for individuals across various industries and roles. Whether you’re in data science, web development, finance, healthcare, or any field that involves data analysis, automation, or software development, learning Python can significantly enhance your capabilities and career prospects.
Yes, many Python courses offer certifications upon completion. These certifications can be highly valuable, demonstrating your proficiency in Python to employers and helping to boost your resume. Depending on the course provider, you might earn a certificate of completion or a more recognized credential, like a Python Institute certification or a Microsoft certification.
The training will last for 15 working days, with 1 hour of instruction each day, extending to several weeks for more comprehensive training. The overall length of the course varies based on the material and the level of detail covered.
Online Python training courses are more common due to their flexibility and accessibility. In-person courses are also available for a more interactive and structured experience.
Yes, most Python courses offer support through forums, Q&A sessions, and community groups where you can ask questions and get help. You can also access online communities like Stack Overflow and Reddit for additional assistance.
ALL COURSES OF Excel Logics
Online learning provides a fresh way to delve into subjects you’re interested in.
