Complete Python Tutorial: Beginner To Pro In 40 Days.
Master Basic to Advanced Python Course with industry experts, live capstone projects, and comprehensive career assistance.
Looking for professional Basic -Advance Python & training in Gurugram Our comprehensive course at Blazingminds Learning is designed for students, working professionals, and business owners who want to gain practical expertise in Python programming, Debugging, Problem-solving. The training covers industry-relevant concepts, hands-on projects, real-world case studies, and certification preparation to help learners build job-ready skills.
With expert trainers, flexible learning schedules, and placement assistance, our Basic -Advance Python course in Gurugram helps participants stay competitive in today's job market. Whether you are a beginner or an experienced professional looking to upskill, this program provides the knowledge and practical experience needed to succeed.
Enroll today in the leading Basic -Advance Python training institute in Gurugram and take the next step toward your career goals.
Understand Python's history, features, and real-world applications.Overview of Python programming language.
Create variables and identify different basic Python data types.
Execute a Python script and understand the basic execution flow.
Write effective comments to document code logic and improve maintainability.
Display output and use separators/end parameters in the print function.
Capture, store, and utilize dynamic user data within a program.
Create, activate, and manage isolated environments for Python projects.
Navigate the IDLE interface to write and test Python code snippets.
Install and configure VSCode and the Python extension for professional coding.
Differentiate between numeric and text-based types for data processing.
Convert and represent numbers in different bases (Base 2, 8, 10, 16).
Apply PEP 8 standards to write clean, readable, and professional Python code.
Implement end-to-end data flow using input and output commands.
Perform explicit type conversion to prevent errors during data operations.
Solve mathematical problems using standard arithmetic logic in Python.
Perform complex arithmetic using all standard Python numeric operators.
Apply advanced mathematical formulas to solve engineering and data problems.
Use native functions to perform rounding, absolute values, and powers.
Combine and replicate strings to build dynamic text outputs.
Manipulate data at the bit level for performance-critical applications.
Construct logical expressions to control the flow of a program.
Predict code execution order and compare data values accurately.
Use shorthand operators to write more concise and efficient Python logic.
Learn how to use single, double, and triple quotes in Python. Master handling special characters and multi-line strings effortlessly.
Master Python string indexing and slicing techniques. Learn how to extract specific characters or substrings from any text data.
Learn to combine strings using concatenation and repeat text with the repetition operator. Perfect for dynamic text generation.
Explore essential Python string methods like strip(), replace(), and split() to clean and transform your text data efficiently.
Dive into traditional Python string formatting using the .format() method. Learn to build clean, dynamic messages in your code.
Learn why F-strings are the modern standard for string formatting in Python. Master embedding expressions directly into literals.
A comprehensive look at Python's built-in string functions. Learn to calculate length, find characters, and check string properties.
Master the use of backslashes in Python. Learn essential escape sequences like \n, \t, and \ for advanced text formatting.
Master fundamental string operations. Learn to change case, find length, sort characters, and locate substrings in Python..Basic String Methods (upper(), lower(), isxxx(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape character .sort(), sorted(), .index(), .find(), .rfind()
Learn the basics of Python lists. Master list construction, element indexing, and slicing techniques to manage data groups.
A deep dive into Python lists. Master advanced indexing, slicing, and core methods like append() and pop() for data management.List In Detail : Indexing, Slicing, Basic Methods
Learn to loop through lists and create them dynamically using list comprehensions. Master list copying to avoid data bugs..Iterating Lists With The For Loop,Initializing, In And Not In Operators, List Comprehension, Copying And Cloning, Check List Is Empty, Check An Item In List, Reversing List Items,Concatenate & Merge List Items ,Compare List ,Accessing Nested Lists,Initializing List To Fixed Numbers
Take your logic further with conditional list comprehensions and nested loops. Master complex data filtering in a single line..Conditional And Nested Loops List Comprehensions, Refractoring Filter And Map To List Comprehensions
Understand the power of Python tuples. Learn why immutability matters and how to index and slice these fixed data structures
Compare Python tuples and lists. Learn when to use each based on performance, memory, and data integrity needs..Similarities And Differences, Lists Inside Tuples And Tuples Inside Lists, Comprehension Involving Tuples
Building, Indexing, Adding And Removing Keys, Iterating Through Dictionaries As Well As Their Keys And Values, Checking Key Existence, Keys(), Items() And Values() Methods
Dictionaries Sequences And Unpacking
Dictionaries Key value And Get Default method
Dictionaries Args And Kwargs method to get access to arguements
Diff Copy Methods For Dictioanries Shaallow , DeepCopy
Dictionaries Built in Methods
Learn the basics of Python decision-making. Master If and If-Else statements to control the logical flow of your apps.
Master complex logic with Elif and Python ternary operators. Learn to write clean, concise conditional code..Conditional Statements: If, If-Else, If-Elif, If-Elif-Else
Understand identity vs. equality. Learn how to use 'is' and 'is not' to compare object memory locations in Python.
Learn the purpose of the 'pass' statement in Python. Discover how to use it as a placeholder for future code development.
Master Python loops. Learn to use For loops with range() and the 'in' keyword to automate repetitive tasks effectively.
Learn to iterate through sequences like lists and dictionaries. Master data traversal to process information in bulk.
Unlock advanced looping techniques with While-Else and For-Else. Learn to manage loop completion logic cleanly..While-Else, For-Else Nesting Loops And Conditional Statements
Learn how to use break and continue to control Python loop execution flow. Master stopping loops early or skipping specific iterations.
Master comparison operators (==, !=, <, >) for numerical data. Learn to build conditional logic based on numeric ranges and values.
Understand how Python evaluates string equality and order. Note the transition from Python 2's cmp() to modern comparison operators.
Learn how to properly check for None types in Python. Master null safety and using identity operators for None assignments.
Build advanced logic using nested conditions and multiple logical operators. Learn to prioritize expressions for clean, readable code.
Learn the basics of Python functions. Master the def keyword, naming conventions, and how to call functions within your program.
Understand the difference between returning a single value and yielding values in a generator. Master function output management.
Explore recursive functions in Python. Learn how functions return None by default and how to solve problems using self-referential logic.
Clear up the confusion between parameters and arguments. Learn to define input requirements and pass data into functions correctly.
Master positional and keyword arguments. Learn the best practices for mixed argument passing to make your functions more flexible.
Learn to set default values for function parameters. Simplify function calls and avoid errors with optional argument handling.
Master the conversion of lazy-loaded generator objects into memory-resident lists. Learn when to convert and when to keep as generators..Converting Generator Objects Into Lists Using The List() Function
Understand how Python manages variable accessibility. Master Local, Global, and Nonlocal scopes to prevent variable conflicts.
Deep dive into the differences between local and global variables. Learn how the global keyword impacts variable modification.
Explore the nuances of scope resolution in nested functions and classes. Understand how Python searches for variable names (LEGB rule).
Master anonymous functions in Python. Learn to write concise, one-line logic using lambdas for mapping, filtering, and sorting.
Learn how to extend your code using imports. Master built-in modules, 3rd party packages, and absolute vs. relative imports.
Understand the difference between syntax errors, runtime exceptions, and developer warnings. Learn to identify and fix common bugs.
Learn to manually trigger errors using the raise keyword. Master custom error signaling to ensure your code is used correctly.
Build your own error classes by inheriting from the Exception base class. Create professional, domain-specific error handling logic.
Master the try-except block. Learn to gracefully handle errors without crashing your application.
Learn about wildcard exceptions and why they can be dangerous. Master specific exception handling for better debugging.
Complete your error handling knowledge. Learn to use 'else' for success logic and 'finally' for critical cleanup tasks.
Discover how to use exceptions as a strategy for program logic. Master the "Easier to Ask for Forgiveness" (EAFP) coding style.
Explore the tree structure of Python's built-in exceptions. Learn how parent and child exceptions interact in catch blocks.
Master date and time manipulation in Python. Learn to format timestamps, calculate time differences, and handle timezones with the datetime module.
Learn the fundamental syntax for defining classes in Python. Master the class keyword, docstrings, and the basic structure of objects.
Understand how classes function as objects themselves in Python. Learn about attribute references and instantiation processes.
Master the creation and use of instance objects. Learn how unique data is stored within instances and how they differ from class-level data.
Learn how methods function in Python classes. Understand bound methods, the self parameter, and how to call methods on instance objects.
Deep dive into variable scope within OOP. Learn when to use shared class variables versus instance-specific variables to manage state.
Master code reuse with Python inheritance. Learn to create child classes that inherit attributes and methods from a parent base class.
Explore advanced OOP with multiple inheritance. Learn how Python resolves method calls across multiple parent classes using MRO.
Learn to connect Python to SQLite databases. Master connection strings, cursor objects, and executing secure SQL commands.
Master the built-in methods for file manipulation. Learn to read, write, seek, and close files safely using the open() function and context managers.
Learn to interact with the operating system. Master file path manipulation, directory navigation, and environment variable handling with the os module.
Learn to serialize and deserialize data using the JSON module. Master converting Python dictionaries and lists into structured JSON files.
Improve code type-safety with annotations and master deep vs. shallow copying techniques to manage memory and data integrity.
Master the syntax of Regular Expressions. Learn meta-characters, quantifiers, and patterns for advanced text search and validation.
Learn to implement regex in Python using the 're' module. Master search(), match(), and findall() for powerful string processing.
Learn to organize large projects. Master the creation of modules and packages, the init.py file, and standard import patterns.
In case you are thinking of beginning your IT career, Basic -Advance Python is the best course program to start and our Basic to Advanced Python Course in Laxmi Nagar, New Delhi is structured in such a way that you will be job ready on the first day after course completion.
Yuvaan Yadav
"trainer is expert"
Kimaayra
"trainer is expert in subject"
Akansha
"Teaches concepts in best way"
Jyoti Yadav
"trainer is expert"
Yes, course is available in both modes.
Yes, shareable digital certificate.
Yes, Few basis , we allow candidates to pay fee in parts.
5 major minor portfolio projects.
Yes, we provide you the assured placement. we have a dedicated team for placement assistance.
Build fast scalable web applications and REST APIs
Develop and deploy machine learning models
Build end-to-end AI-powered applications
Average salary hike after course completion
40-60%
Students placed in top companies
2,000+
Shareable on LinkedIn & Resume
1-on-1 Mentorship: Dedicated professional mentors guide you through every challenge.
Peer Learning Community: Join 1k+ learners in weekly code reviews.
Confidence Booster: Project-based learning with real-world simulations.
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01:00 PM - 01:00 PM
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*All events are recorded and available for enrolled students
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Laxmi Nagar in New Delhi is an active cluster for tech talent and career-driven individuals. This specialized Basic to Advanced Python Course training program is specifically designed to help students and working professionals acquire job-ready, practical technical skills with live mentorship.
Students and professionals from Connaught Place, Saket, Hauz Khas and Rajouri Garden can easily commute to attend our batches or access specialized hybrid learning cohorts.
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