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29th Birthdays of Python –Boot camp of Advance Python


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December 26, 2018 10:00 am
December 30, 2018 6:00 pm
B-8, Sector-2 Next To Sector 15 Metro Station, B Block, Sector 2, Noida, Uttar Pradesh 201301   View map

In the memory of Python (started in 1989), L2L Labs is celebrating its 29th Birthday of Python.L2L labs now offer you a great opportunity in understanding the language through a special workshop (Boot Camp) being organized to commemorate the launch of this unique language ( in 1989) PYTHON.

5 Days boot camp for Python Programming lovers is being organized from 26th December to 30th December

L2L Labs is organizing one advance boot camp of 5 days for Python Programming lovers. It is from 26th December – 30th December 2018. The timings for the boot camp will be 10:00 am to 6:00 pm. As Guido van Rossum utilized his Christmas holiday’s to invent the most demanding programming language “Python”. Similarly, L2L Labs is here to give you extraordinary chance to become Mastermind of Python.

This Python Boot camp is for:

  • Office employees who want to want increment in their salary.
  • Fresh graduates who want to make career as Python coder.
  • Retirees who still want to be productive and active can become expert Python Programmer.
  • Professional who wants to switch the jobs

Why should you join this Python Boot camp?

  • Become Mastermind Python Coder
  • Earn your first rupee and celebrate your wins with our private and exclusive groups
  • Get simple, step-by-step training of Python & learn 1000+ real-time problems
  • You will be able to learn your favorite and most demanding language till the depth
  • You will learn secrets of successful developer
  • Learn secret tools of Python Language

 What you can do by end of Boot camp of Python of 5 days

  • You will be expert of Python
  • You will be able to do job in MNCs
  • You will be easily able to crack any Interview
  • You will be learning secrets of Python programming.
  • You will be able to become a freelancer in Python field as a coder or developer.

Course Module

Python boot camp

Day 1: 10:00 am – 11:30 am: – Introduction to python

  1. History of python
  2. Why python?
  3. Python versus java
  4. Scope of python

Tea break

Day 1: 11:45 am-1:15 am: – set-up and hello world!

  1. Installing python
  2. Python Idle and Jupiter notebook
  3. “hello world “in python
  4. Pip in python
  5. Python libraries

Lunch break

Day 1: 02:00 pm -03:45 pm: -Basics of programming

  1. Literal and variables
  2. Data types
  3. Statements, expressions and blocks
  4. Operators in python
  5. Expression evaluations in python

Tea break

Day 1: 04:00 pm-05:30:- Basic constructs in python

  1. Looping in python
  2. for loop in python
  3. range() in python
  4. while loop in python
  5. for and while loop complexity
  6. else statements in loop
  7. conditional statements in python
  8. if… else statements
  9. elif in python
  10. nested if… else

Doubt clearance and conclusion of the day


Day 2: 10:00 pm-11:30 pm: – Functions in python

  1. Introduction to functions
  2. Declaring, defining and calling of functions
  3. return statement in function
  4. Returning multiple values
  5. Function as an object
  6. Passing of arguments in function
  7. Default arguments
  8. Arbitrary arguments passing
  9. Keyword arguments passing
  10. Lambda expression in python
  11. Nested functions and decorator
  12. Python closure for function
  13. Generators in python
  14. Some built-in function in python


Day 2: 11:45 am-01:15pm: – Object oriented programming system

  1. Concept of OOPs
  2. Class and objects in python
  3. Function vs methods in objects
  4. Initialization and constructor in python
  5. Fact about self
  6. Scope of variables in python
  7. Global
  8. Enclosing
  9. Non local
  10. Local
  11. Oops implementations in python
  12. Inheritance
  13. Polymorphism
  14. Encapsulation
  15. Abstraction
  16. Method overloading and overriding in python


day 2: 02:00 pm -3:45 pm: – Python’s containers

  1. Containers in python
  2. String
  3. List
  4. Tuple
  5. Dictionary
  6. Set
  7. Comprehension in containers
  8. Collections module in python
  9. Namedtuple
  10. DefaultDict
  11. Deque
  12. Chainmap
  13. orderedDict


Day 2: 4:00 pm -5:30 pm: -Errors and exceptions in python

  1. Errors and exception handling in python
  2. Errors and exception
  3. Type or errors
  4. try…. except in python
  5. raise in python
  6. finally, in python
  7. user defined exception in python

doubt clearing and conclusion

Day 3: 10:00 am- 11:30 am: – introduction to NumPy

  1. contiguous and non-contiguous memory allocation
  2. what is an array?
  3. Numpy array versus list of python
  4. The NumPy ndarray: A multidimensional array object
  5. Creating ndarray
  6. Data type for ndarray
  7. Arithmetic with NumPy array
  8. Basic indexing and slicing
  9. Boolean indexing and fancy indexing
  10. Transposing arrays and swapping of axes


Day 3: 11:45 am to 01:15 pm: – more on NumPy

  1. Universal functions
  2. Array oriented programming with array
  3. Expressing conditionals logics
  4. Mathematical and statistical methods
  5. Methods of boolean array
  6. Sorting
  7. Unique and other set logic
  8. File input and output with arrays
  9. Linear algebra
  10. Pseudorandom generation
  11. Example


day 3: 02:00 pm -3:45 pm: – Advanced NumPy

  1. Ndarray objects internals
  2. Numpy data types hierarchy
  3. Advanced array manipulation
  4. Reshaping arrays
  5. C versus Fortran arrays
  6. Concatenating and splitting arrays
  7. Repeating elements
  8. Fancy indexing equivalents
  9. Broadcasting
  10. Broadcasting over other axis
  11. Setting array values by broadcasting
  12. Structured and record arrays
  13. Nested dtypes and multidimensional arrays
  14. Why structured array?
  15. The important of contiguous memory


Day 3: 04:00 pm -5:30 pm: – Play with pandas

  1. Basic introduction of panda
  2. Series
  3. Data frames
  4. Index objects

doubt clearing and conclusion of the day

day 4: 10:00 am-11:30 am: – play with pandas

  1. More of functionality
  2. Re-indexing
  3. Dropping entries from an axis
  4. Indexing selection, and filtering
  5. Integer indexes
  6. Arithmetic and data alignment
  7. Function application and mapping
  8. Sorting and ranking
  9. Axis indexes and duplicates labels
  10. Computing descriptive statistics
  11. Correlation and covariance
  12. Unique values, values count and membership

day 4: 11:45 am -01:15 am: – more on pandas

  1. Categorical data
  2. Background and motivation
  3. Categorical type in pandas
  4. Computations with categorical
  5. Categorical methods
  6. Advanced groupBy use
  7. Group transforms and unwrapped groupBy
  8. Grouped time resampling
  9. Techniques for method chaining
  10. The pipe method


Day 4: 02:00 pm- 03:45 pm: – plotting and visualization

  1. Introduction to MatPlotLib
  2. Figures and subplots
  3. Colors, markers and line styles
  4. Ticks, labels and legends
  5. Annotations and drawing on a subplot
  6. Saving plot to file
  7. MatPlotLib configurations
  8. Plotting with pandas and seaborn
  9. Lines plots
  10. Bar plots
  11. Histograms and density plots
  12. Scatters or points plots
  13. Facet grids and categorical data


Day 4: 04:00 pm-05:30 pm: – data loading, storage and file format

  1. Reading and writing data in text format
  2. Reading text files in pieces
  3. Writing data to text format
  4. Working with delimited format
  5. JSON data
  6. HTML and XML: web scarping

Doubt clearance and conclusion

Day 5: 10:00 am-11:30 am: – data loading, storage and file format

  1. Binary data format
  2. Using HDF5 format
  3. Reading Microsoft excel files
  4. Interacting with web APIs
  5. Interacting with data base


Day 5: 11:45 am -01:15 pm: – data cleaning and preparation

  1. Handling missing data
  2. Filtering out missing data
  3. Filling missing data
  4. Data transformation
  5. Removing duplicates
  6. Transforming data using a function or mapping
  7. Replacing values
  8. Renaming Axis indexes

Day 5: 2:00 pm -04:00 pm: – Data cleaning and preparation

  1. Data transformation
  2. Discretization and binning
  3. Detecting and filtering data
  4. Permutation and random sampling
  5. Computing indicator/ dummy variables
  6. String manipulation
  7. String object methods
  8. Regular expressions
  9. Vectorized string function in pandas

Note: Kindly please bring your laptop and ID proof with you.

*Group Discounts are available

*Carry your college I-Cards and get 20% discount

L2L International looking forward to have you here to become Python Developer / Coder Rockstar. Proper snack & Drinks will be provided to you from L2L International only. Come & enjoy the coding.
Happy Coding!

29th Birthdays of Python –Boot camp of Advance Python



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