Updated Module 06

Author: Sampreet

README.md

@@ -12,7 +12,6 @@ This series gradually traverses from basic to advanced topics of Python for nume
 These tutorials and their corresponding notebooks are clubbed into different modules based on the topics covered in the [modules folder](./modules/).
 
 ## Beginner-level Topics
----
 
 The course starts with setting up Python with a brief introduction to the ecosystem and the development environment in [*Module 01 - Getting Started*](./modules/m01-getting-started/README.md). 
 Next, the basic data-types of python as well as looping and function representations are covered in [*Module 02 - Fundamentals of Python*](./modules/m02-fundamentals-of-python/README.md).
@@ -42,10 +41,9 @@ M05T01 | Importing Modules | | |
 M05T02 | Logging Events | | |
 
 ## Intermediate-level Topics
----
 
 With the basics covered, the course jumps into a few more plotting and computational libraries in [*Module 03 - Visualizing Data*](./modules/m03-visualizing-data/README.md) and [*Module 04 - Scientific Computing*](./modules/m04-scientific-computing/README.md).
-Next, [*Module 05 - Best Practices*](./modules/m05-best-practices/README.md) introduces object-oriented programming, exception handling and ways to parallelize the code.
+Next, [*Module 05 - Best Practices*](./modules/m05-best-practices/README.md) introduces object-oriented programming, exception handling and ways to parallelize and speed up the code.
 [*Module 06 - Machine Learning*](./modules/m06-machine-learning/README.md) and [*Module 08 - Quantum Computing*](./modules/m08-quantum-computing/README.md)then highlights two rapidly growing areas, introducing crude learning paradigms and concepts pertaning to quantum computing.
 The individual topics covered in this level are:
 
@@ -58,6 +56,7 @@ M04T04 | SymPy | | |
 M05T03 | Objects and Classes | | |
 M05T04 | Handling Scenarios | | |
 M05T05 | Parallelism | | |
+M05T06 | Speeding Up | | [link](./m05-best-practices/m05t06-speeding-up.ipynb) |
 M06T01 | Bayesian Probability | | |
 M06T02 | Regression Analysis | | |
 M06T03 | Classification | | |
@@ -71,7 +70,6 @@ M08T04 | Algorithms | | |
 M08T05 | The Qiskit SDK | [link](./modules/m08-quantum-computing/m08t05-the-qiskit-sdk.md) | [link](./modules/m08-quantum-computing/m08t05-the-qiskit-sdk.ipynb) |
 
 ## Advanced-level topics
----
 
 With all the stages set, the course dives into deep learning in [*Module 07 - Deep Learning*](./modules/m07-deep-learning/README.md) and further engrossing topics in [*Module 08 - Quantum Computing*](./modules/m08-quantum-computing/README.md) and [*Module 09 - Quantum ML*](./modules/m09-quantum-ml/README.md).
 The individual topics covered in this level are:

modules/README.md

@@ -1,7 +1,6 @@
 # Modules - Python for Physicists
 
 ## [Module 01 - Getting Started](./m01-getting-started/README.md)
----
 
 ### Contents
 
@@ -20,7 +19,6 @@ M01T05 | Python in VSCode | [link](./m01-getting-started/m01t05-python-in-vscode
 * Using Visual Studio Code to run and debug.
 
 ## [Module 02 - Fundamentals of Python](./m02-fundamentals-of-python/README.md)
----
 
 ### Contents
 
@@ -36,7 +34,6 @@ M02T07 | List Comprehension | | |
 M02T08 | Functions and Lambda Expressions | | |
 
 ## [Module 03 - Visualizing Data](./m03-visualizing-data/README.md)
----
 
 ### Contents
 
@@ -47,7 +44,6 @@ M03T02 | Plotly | | |
 M03T03 | Seaborn | | |
 
 ## [Module 04 - Scientific Computing](./m04-scientific-computing/README.md)
----
 
 ### Contents
 
@@ -59,7 +55,6 @@ M04T03 | Pandas | | |
 M04T04 | SymPy | | |
 
 ## [Module 05 - Best Practices](./m05-best-practices/README.md)
----
 
 ### Contents
 
@@ -70,9 +65,9 @@ M05T02 | Logging Events | | |
 M05T03 | Objects and Classes | | |
 M05T04 | Handling Scenarios | | |
 M05T05 | Parallelism | | |
+M05T06 | Speeding Up | | [link](./m05-best-practices/m05t06-speeding-up.ipynb) |
 
 ## [Module 06 - Machine Learning](./m06-machine-learning/README.md)
----
 
 ### Contents
 
@@ -86,7 +81,6 @@ M06T05 | Dimensionality Reduction | | |
 M06T06 | Support Vector Machines | | |
 
 ## [Module 07 - Deep Learning](./m07-deep-learning/README.md)
----
 
 ### Contents
 
@@ -101,7 +95,6 @@ M07T06 | Boltzmann Machines and Autoencoders | | |
 M07T07 | Reinforcement Learning | | |
 
 ## [Module 08 - Quantum Computing](./m08-quantum-computing/README.md)
----
 
 ### Contents
 
@@ -120,13 +113,10 @@ M08T06 | Grover's Algorithm | | [link](./m08-quantum-computing/m08t06-algorithm-
 * Executing quantum circuits on IBM's prototype quantum computers.
 
 ## [Module 09 - Quantum ML](./m09-quantum-ml/README.md)
----
 
 ### Contents
 
 Topic ID | Topic Name | Tutorial | Notebook | 
 --- | --- | --- | --- |
 M09T01 | Quantum Machine Learning | | |
-M09T02 | Quantum Generative Adversarial Networks | | |
-
-
+M09T02 | Quantum Generative Adversarial Networks | | |

modules/m05-best-practices/m05t01-importing-modules.md

@@ -0,0 +1,5 @@
+# M05T01 - Importing Modules
+
+> Bring it on!
+
+As simple as it looks, importing variours libraries can be a tricky thing when it comes to the larger ones, specially when it comes to chosing the right function among similar ones.

modules/m05-best-practices/m05t06-speeding-up.ipynb

@@ -0,0 +1,3 @@
+# M05T06 - Speeding Up
+
+> Let's put up some numbers!