• Mastering Python for Finance

    Mastering Python for Finance

    • James Ma Weiming
    • Packt Publishing
    • 2015
    • 978-178439-451-6
    Sinopsis

    Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development. With this book, you will learn about all the tools you need to successfully perform research studies and modeling, improve your trading strategies, and effectively manage risks. You will explore the various tools and techniques used in solving complex problems commonly faced in finance. You will learn how to price financial instruments such as stocks, options, interest rate derivatives, and futures using computational methods. Also, you will learn how you can perform data analytics on market indexes and use NoSQL to store tick data.

    Kata Kunci
    Tersedia di Perpustakaan Kampus:
    • Tasikmalaya
    Silahkan Login untuk dapat Melakukan Peminjaman Online
Kode Buku : 250884
Kode Klasifikasi : 005.1
Judul Buku : Mastering Python for Finance
Edisi : 1
Penulis : James Ma Weiming
Penerbit : Packt Publishing
Bahasa : Inggris
Tahun : 2015
ISBN : 978-178439-451-6
Tajuk Subjek : phyton,Finance
Deskripsi : xv, 312 hlm, 23 cm
Eksemplar : 1
Stok : 1
Petugas : Linatul Hikmah
Built initially for scientific computing, Python quickly found its place in finance. Its flexibility and robustness can be easily incorporated into applications for mathematical studies, research, and software development.



With this book, you will learn about all the tools you need to successfully perform research studies and modeling, improve your trading strategies, and effectively manage risks. You will explore the various tools and techniques used in solving complex problems commonly faced in finance.



You will learn how to price financial instruments such as stocks, options, interest rate derivatives, and futures using computational methods. Also, you will learn how you can perform data analytics on market indexes and use NoSQL to store tick data.
Terkait Subjek Buku yang sama