1. Pandas Pandas is a software library written for the python programming language for data manipulation and analysis. Pandas is well suited for many different kinds of data:
Tabular data with heterogeneously-types columns.
Ordered and unordered time series data.
Arbitrary matrix data with row and column labels.
Any other form of observational / statistical data sets.
The data actually need not be labeled at all to be placed into a pandas data structure.
2. NumPy Numpy is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays.
3. Matplotlib
Matplotlib is a Python package used for 2D graphics.
Bar graph
Histograms
Scatter Plot
Pie Plot
Hexagonal Bin Plot
Area Plot
4. Selenium
The selenium package is used to automate web browser interaction from Python.
5. OpenCV
OpenCV- Python is a library of Python designed to solve computer vision problems.
6. SciPy
Scipy is a free and open-source Python library used for scientific computing and technical computing.
7. Scikit-Learn
Scikit-learn (formerly scikits.learn) is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms.
8. PySpark
The Spark Python API (PySpark) exposes the Spark programming model to Python.
9. Django
Diango is a Python web framework. A framework provides a structure and common methods to make the life of a web application developer much easier for building flexible, scalable and maintainable web applications
Django is a high-level and has a MVC-MVT styled architecture.
Django web framework is written on quick and powerful Python language.
Django has a open-source collection of libraries for building a fully functioning web application.
10. Tensor Flow
TensorFlow is a Python library used to implement deep networks. In TensorFlow, computation is approached as a dataflow graph.
사람들은 무엇을 두려워 하는가? 실패에 대한 두려움, 상사에 대한 두려움, 의견 개진에 대한 두려움, 변화에 대한 두려움은 적시에 행동하고 유연성을 갖추는데 가장 큰 적이다. 두려움을 최소화하거나 없애지 않는 이상, 새로운 실험은 실험으로 끝날 뿐 일상으로 자리잡지는 못한다. - 캐나다 마르코니사 전 회장, 켄 카이벤코
두려움을 없애지 않으면 소통이 없고, 소통이 없으면 신뢰도 없고, 행동도 없고, 결과적으로 성과 창출에 실패하게 됩니다. 구성원이 두려움없이 일하게 하는 것이 중요합니다. 그러나, 두려움을 제거하는 것이 느슨한 조직을 만드는 것과 동의어가 되서는 안됩니다. 창조경영과 두려움은 역의 상관관계가 있지만, 창조적 조직으로 거듭나기 위해서는 조직 내에 창조적 긴장(creative tension)은 유지할 수 있어야 합니다.
