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Home All Courses General

Mastering Python: Foundations to Advanced Techniques

by Rajesh Kumar · in General · Last updated: August 8, 2026
Course Description


[migrated-from-learnpress]

Curriculum

11 Sections • 63 Lessons • 45 hour
1.1Module1:Session-1 Preview 0 minute
1.2Module1: Session-2 0 minute
1.3Module1: Session-3 0 minute
1.4Module1:Session-4 0 minute
1.5Moudle-1 Session-5 0 minute
2.12.1 Defining and invoking functions 0 minute
2.22.2 pass as a placeholder statement 0 minute
2.32.3 Understanding variable scope (local vs global) 0 minute
2.42.4 Recursive functions 0 minute
2.52.5 Handling arbitrary arguments: *args and **kwargs 0 minute
2.62.6 Class method convention: the self-parameter 0 minute
2.72.7 Functions as first-class citizens 0 minute
2.82.8 Anonymous (lambda) functions 0 minute
2.92.9 Functional utilities: map, filter, reduce 0 minute
2.102.10 Nested functions and closures 0 minute
2.112.11 Decorators: enhancing functionality 0 minute
2.122.12 Knowledge check: function-based quizzes 0 minute
3.13.1 Text manipulation and string features 0 minute
3.23.2 Dynamic collections: lists 0 minute
3.33.3 Immutable tuples 0 minute
3.43.4 Associative arrays: dictionaries 0 minute
3.53.5 Unordered unique collections: sets 0 minute
3.63.6 Homogeneous sequences: arrays 0 minute
3.73.7 List comprehensions for concise loops 0 minute
3.83.8 Knowledge check: data-structure quizzes 0 minute
4.14.1 Counters for frequency counts 0 minute
4.24.2 Heap queues for priority tasks 0 minute
4.34.3 Deques for double-ended access 0 minute
4.44.4 OrderedDict to maintain insertion order 0 minute
4.54.5 defaultdict for key-default handling 0 minute
4.64.6 Knowledge check: advanced collection quizzes 0 minute
5.15.1 OOP fundamentals in Python 0 minute
5.25.2 Defining classes and creating objects 0 minute
5.35.3 Inheritance and code reuse 0 minute
5.45.4 Polymorphism in action 0 minute
5.55.5 Abstraction via abstract base classes 0 minute
5.65.6 Data encapsulation best practices 0 minute
5.75.7 Custom iterators and iterable classes 0 minute
5.85.8 Knowledge check: OOP quizzes 0 minute
6.16.1 Exception handling with try/except/finally 0 minute
6.26.2 Built-in vs custom exceptions 0 minute
6.36.3 File I/O operations: reading and writing 0 minute
6.46.4 Leveraging os and pathlib 0 minute
6.56.5 Creating, removing, and navigating directories 0 minute
6.66.6 Knowledge check: exception and file-handling quizzes 0 minute
7.17.1 Connecting to MySQL databases 0 minute
7.27.2 Interfacing with MongoDB collections 0 minute
8.18.1 Structure and usage of packages 0 minute
8.28.2 Exploring Python’s standard modules 0 minute
8.38.3 Third-party DSA libraries 0 minute
8.48.4 Building graphical interfaces (e.g., Tkinter, PyQt) 0 minute
9.19.1 Core libraries: NumPy, Pandas, Matplotlib 0 minute
9.29.2 Statistical & enhanced visualization: Seaborn, Statsmodels 0 minute
9.39.3 Machine-learning toolkit: scikit-learn, XGBoost, LightGBM 0 minute
9.49.4 Deep learning with TensorFlow/Keras and PyTorch 0 minute
10.110.1 Topic-based quizzes (e.g., loops, functions) 0 minute
10.210.2 Hands-on coding challenges spanning all topics 0 minute
11.111.1 Web & backend systems 0 minute
11.211.2 Data analysis and visualization 0 minute
11.311.3 AI & machine-learning pipelines 0 minute
11.411.4 Task automation and scripting 0 minute
11.511.5 Web scraping tools 0 minute
11.611.6 Desktop applications & simple games 0 minute

Instructor

R

Rajesh Kumar

0 Students 43 Courses

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